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arbazkhan971/godmode
Autonomous AI coding agent — 126 skills, 7 subagents, 5 platforms. Iterative optimization with automatic rollback, failure memory, and parallel multi-agent execution. Plugin for Claude Code, Cursor, Codex, Gemini CLI, OpenCode.
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
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SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
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skills/a11y/SKILL.md
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skills/agent/SKILL.md
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skills/analytics/SKILL.md
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skills/angular/SKILL.md
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skills/api/SKILL.md
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skills/apidocs/SKILL.md
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skills/architect/SKILL.md
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skills/auth/SKILL.md
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skills/automate/SKILL.md
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skills/backup/SKILL.md
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skills/bench/SKILL.md
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skills/build/SKILL.md
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skills/cache/SKILL.md
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skills/changelog/SKILL.md
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skills/chaos/SKILL.md
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skills/chart/SKILL.md
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skills/cicd/SKILL.md
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skills/cli/SKILL.md
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skills/comply/SKILL.md
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skills/concurrent/SKILL.md
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skills/config/SKILL.md
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skills/cost/SKILL.md
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skills/cron/SKILL.md
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skills/crypto/SKILL.md
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skills/ddd/SKILL.md
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skills/debug/SKILL.md
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skills/deploy/SKILL.md
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skills/designsystem/SKILL.md
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skills/devsecops/SKILL.md
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skills/distributed/SKILL.md
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skills/django/SKILL.md
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skills/docker/SKILL.md
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skills/docs/SKILL.md
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skills/e2e/SKILL.md
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skills/edge/SKILL.md
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skills/email/SKILL.md
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skills/eval/SKILL.md
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skills/event/SKILL.md
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skills/experiment/SKILL.md
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skills/fastapi/SKILL.md
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skills/feature/SKILL.md
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skills/finish/SKILL.md
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skills/fix/SKILL.md
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skills/forms/SKILL.md
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skills/ghactions/SKILL.md
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skills/git/SKILL.md
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skills/goal-bridge/SKILL.md
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skills/godmode/SKILL.md
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skills/graphql/SKILL.md
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skills/grpc/SKILL.md
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skills/i18n/SKILL.md
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skills/incident/SKILL.md
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skills/infra/SKILL.md
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skills/integration/SKILL.md
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skills/k8s/SKILL.md
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skills/laravel/SKILL.md
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skills/legacy/SKILL.md
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skills/lint/SKILL.md
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skills/loadtest/SKILL.md
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skills/logging/SKILL.md
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skills/micro/SKILL.md
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skills/migrate/SKILL.md
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skills/migration/SKILL.md
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skills/ml/SKILL.md
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skills/mlops/SKILL.md
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skills/mobile/SKILL.md
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skills/monorepo/SKILL.md
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skills/network/SKILL.md
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skills/nextjs/SKILL.md
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skills/node/SKILL.md
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skills/nosql/SKILL.md
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skills/notify/SKILL.md
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skills/npm/SKILL.md
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skills/observe/SKILL.md
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skills/onboard/SKILL.md
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skills/opensource/SKILL.md
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skills/optimize/SKILL.md
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skills/orm/SKILL.md
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skills/pattern/SKILL.md
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skills/pay/SKILL.md
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skills/pentest/SKILL.md
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skills/perf/SKILL.md
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First observation → 18bfc31d6698
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skills/pipeline/SKILL.md
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skills/plan/SKILL.md
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skills/postgres/SKILL.md
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skills/pr/SKILL.md
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skills/predict/SKILL.md
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skills/principles/SKILL.md
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skills/prompt/SKILL.md
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skills/query/SKILL.md
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First observation → 18bfc31d6698
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skills/queue/SKILL.md
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First observation → 18bfc31d6698
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skills/rag/SKILL.md
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skills/rails/SKILL.md
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skills/ratelimit/SKILL.md
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skills/rbac/SKILL.md
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skills/react/SKILL.md
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skills/realtime/SKILL.md
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skills/redis/SKILL.md
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skills/refactor/SKILL.md
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skills/reliability/SKILL.md
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skills/research/SKILL.md
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skills/resilience/SKILL.md
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skills/responsive/SKILL.md
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skills/review/SKILL.md
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skills/rfc/SKILL.md
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skills/scale/SKILL.md
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skills/scenario/SKILL.md
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skills/schema/SKILL.md
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skills/search/SKILL.md
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skills/secrets/SKILL.md
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skills/secure/SKILL.md
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skills/seed/SKILL.md
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skills/seo/SKILL.md
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skills/setup/SKILL.md
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skills/ship/SKILL.md
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skills/slo/SKILL.md
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skills/spring/SKILL.md
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skills/state/SKILL.md
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skills/stdio/SKILL.md
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skills/storage/SKILL.md
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skills/svelte/SKILL.md
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skills/tailwind/SKILL.md
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skills/team/SKILL.md
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skills/terse/SKILL.md
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skills/test/SKILL.md
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skills/think/SKILL.md
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skills/tokens/SKILL.md
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skills/tutorial/SKILL.md
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skills/type/SKILL.md
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skills/ui/SKILL.md
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skills/upload/SKILL.md
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skills/verify/SKILL.md
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skills/vue/SKILL.md
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skills/webhook/SKILL.md
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skills/webperf/SKILL.md
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Verified commit 18bfc31d669804856ba232f04cdbd172afbdc379
git clone --filter=blob:none --no-checkout https://github.com/arbazkhan971/godmode.git .hotskills/arbazkhan971-godmode && git -C .hotskills/arbazkhan971-godmode checkout --detach 18bfc31d669804856ba232f04cdbd172afbdc379
# Copy each selected skill directory from .hotskills/arbazkhan971-godmode into .claude/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/arbazkhan971/godmode.git .hotskills/arbazkhan971-godmode && git -C .hotskills/arbazkhan971-godmode checkout --detach 18bfc31d669804856ba232f04cdbd172afbdc379
# Copy each selected skill directory from .hotskills/arbazkhan971-godmode into .agents/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/arbazkhan971/godmode.git .hotskills/arbazkhan971-godmode && git -C .hotskills/arbazkhan971-godmode checkout --detach 18bfc31d669804856ba232f04cdbd172afbdc379
# Copy each selected skill directory from .hotskills/arbazkhan971-godmode into .gemini/skills/<skill-name>/Heat
1.8- Star growth, last 7 daysNot available
- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
30-day change not yet available: not enough history.
Individual skills in this repository
- godmode
/ - a11y
skills/a11y - agent
skills/agent - analytics
skills/analytics - angular
skills/angular - api
skills/api - apidocs
skills/apidocs - architect
skills/architect - auth
skills/auth - automate
skills/automate - backup
skills/backup - bench
skills/bench - build
skills/build - cache
skills/cache - changelog
skills/changelog - chaos
skills/chaos - chart
skills/chart - cicd
skills/cicd - cli
skills/cli - comply
skills/comply - concurrent
skills/concurrent - config
skills/config - cost
skills/cost - cron
skills/cron - crypto
skills/crypto - ddd
skills/ddd - debug
skills/debug - deploy
skills/deploy - designsystem
skills/designsystem - devsecops
skills/devsecops - distributed
skills/distributed - django
skills/django - docker
skills/docker - docs
skills/docs - e2e
skills/e2e - edge
skills/edge - email
skills/email - eval
skills/eval - event
skills/event - experiment
skills/experiment - fastapi
skills/fastapi - feature
skills/feature - finish
skills/finish - fix
skills/fix - forms
skills/forms - ghactions
skills/ghactions - git
skills/git - goal-bridge
skills/goal-bridge - godmode
skills/godmode - graphql
skills/graphql - grpc
skills/grpc - i18n
skills/i18n - incident
skills/incident - infra
skills/infra - integration
skills/integration - k8s
skills/k8s - laravel
skills/laravel - legacy
skills/legacy - lint
skills/lint - loadtest
skills/loadtest - logging
skills/logging - micro
skills/micro - migrate
skills/migrate - migration
skills/migration - ml
skills/ml - mlops
skills/mlops - mobile
skills/mobile - monorepo
skills/monorepo - network
skills/network - nextjs
skills/nextjs - node
skills/node - nosql
skills/nosql - notify
skills/notify - npm
skills/npm - observe
skills/observe - onboard
skills/onboard - opensource
skills/opensource - optimize
skills/optimize - orm
skills/orm - pattern
skills/pattern - pay
skills/pay - pentest
skills/pentest - perf
skills/perf - pipeline
skills/pipeline - plan
skills/plan - postgres
skills/postgres - pr
skills/pr - predict
skills/predict - principles
skills/principles - prompt
skills/prompt - query
skills/query - queue
skills/queue - rag
skills/rag - rails
skills/rails - ratelimit
skills/ratelimit - rbac
skills/rbac - react
skills/react - realtime
skills/realtime - redis
skills/redis - refactor
skills/refactor - reliability
skills/reliability - research
skills/research - resilience
skills/resilience - responsive
skills/responsive - review
skills/review - rfc
skills/rfc - scale
skills/scale - scenario
skills/scenario - schema
skills/schema - search
skills/search - secrets
skills/secrets - secure
skills/secure - seed
skills/seed - seo
skills/seo - setup
skills/setup - ship
skills/ship - slo
skills/slo - spring
skills/spring - state
skills/state - stdio
skills/stdio - storage
skills/storage - svelte
skills/svelte - tailwind
skills/tailwind - team
skills/team - terse
skills/terse - test
skills/test - think
skills/think - tokens
skills/tokens - tutorial
skills/tutorial - type
skills/type - ui
skills/ui - upload
skills/upload - verify
skills/verify - vue
skills/vue - webhook
skills/webhook - webperf
skills/webperf
How it works
godmode
When your agent uses it
Turn on Godmode. 135 skills, 7 subagents, zero configuration. Routes to the right skill automatically.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
4,083 tokensWhen the skill is activated
Reference documents
642,116 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. The Loop
- 2. Keep / Discard Rules
- 3. Simplicity Criterion
- 4. Stopping Conditions
- 5. Stuck Recovery (4-step escalation)
- 6. Logging
- 7. Execution Rules
- 8. Failure Classification
- 9. Overfitting Prevention
- 10. Learning from Discards
- 11. Environment Isolation
- 12. Session Resume
- 13. Lessons
- 14. Default Activations
Scripts executed separately
.godmode/measure-quality-v2.sh.godmode/measure-quality-v3.sh.godmode/measure-quality-v4.sh.godmode/measure-quality.shadapters/amp/install.shadapters/amp/verify.shadapters/codex/install.shadapters/codex/verify.shadapters/cursor/install.shadapters/cursor/verify.shadapters/gemini/install.shadapters/gemini/verify.shadapters/opencode/install.shadapters/opencode/verify.shadapters/pi/install.shadapters/pi/models.shadapters/pi/verify.shadapters/shared/verify-common.shbench/analyze.pybench/run-farm.shbench/run-one.shbench/tasks/bug-01/metric.shbench/tasks/bug-01/solution/loglib.pybench/tasks/bug-01/starter/loglib.pybench/tasks/bug-01/starter/main.pybench/tasks/bug-02/metric.shbench/tasks/bug-02/solution/orderkit.pybench/tasks/bug-02/starter/main.pybench/tasks/bug-02/starter/orderkit.pybench/tasks/bug-03/metric.shbench/tasks/bug-03/solution/board.jsbench/tasks/bug-03/starter/board.jsbench/tasks/bug-03/starter/index.jsbench/tasks/bug-04/metric.shbench/tasks/bug-04/solution/index.jsbench/tasks/bug-04/starter/index.jsbench/tasks/bug-04/starter/uploader.jsbench/tasks/bug-05/metric.shbench/tasks/bug-05/solution/main.shbench/tasks/bug-05/starter/main.shbench/tasks/feat-01/metric.shbench/tasks/feat-01/solution/main.pybench/tasks/feat-01/solution/shelf.pybench/tasks/feat-01/starter/main.pybench/tasks/feat-01/starter/shelf.pybench/tasks/feat-02/metric.shbench/tasks/feat-02/solution/main.pybench/tasks/feat-02/starter/catalog.pybench/tasks/feat-02/starter/main.pybench/tasks/feat-03/metric.shbench/tasks/feat-03/solution/index.jsbench/tasks/feat-03/starter/contacts.jsbench/tasks/feat-03/starter/index.jsbench/tasks/feat-04/metric.shbench/tasks/feat-04/solution/index.jsbench/tasks/feat-04/solution/tags.jsbench/tasks/feat-04/starter/index.jsbench/tasks/feat-04/starter/tags.jsbench/tasks/feat-05/metric.shbench/tasks/feat-05/solution/main.shbench/tasks/feat-05/starter/main.shbench/tasks/perf-01/metric.shbench/tasks/perf-01/solution/main.pybench/tasks/perf-01/starter/main.pybench/tasks/perf-01/starter/wfreq_io.pybench/tasks/perf-02/metric.shbench/tasks/perf-02/solution/main.pybench/tasks/perf-02/starter/main.pybench/tasks/perf-02/starter/recordfile.pybench/tasks/perf-03/metric.shbench/tasks/perf-03/solution/index.jsbench/tasks/perf-03/starter/index.jsbench/tasks/perf-03/starter/tagslib.jsbench/tasks/perf-04/metric.shbench/tasks/perf-04/solution/lib/render.jsbench/tasks/perf-04/starter/index.jsbench/tasks/perf-04/starter/lib/config.jsbench/tasks/perf-04/starter/lib/format.jsbench/tasks/perf-04/starter/lib/items.jsbench/tasks/perf-04/starter/lib/render.jsbench/tasks/perf-05/metric.shbench/tasks/perf-05/solution/lib/audit.shbench/tasks/perf-05/starter/lib/audit.shbench/tasks/perf-05/starter/main.shbench/tasks/refac-01/metric.shbench/tasks/refac-01/solution/members.pybench/tasks/refac-01/starter/main.pybench/tasks/refac-01/starter/members.pybench/tasks/refac-02/metric.shbench/tasks/refac-02/solution/main.pybench/tasks/refac-02/starter/ledger.pybench/tasks/refac-02/starter/main.pybench/tasks/refac-03/metric.shbench/tasks/refac-03/solution/index.jsbench/tasks/refac-03/starter/index.jsbench/tasks/refac-04/metric.shbench/tasks/refac-04/solution/index.jsbench/tasks/refac-04/solution/render.jsbench/tasks/refac-04/solution/textproc.jsbench/tasks/refac-04/starter/index.jsbench/tasks/refac-04/starter/render.jsbench/tasks/refac-04/starter/textproc.jsbench/tasks/refac-05/metric.shbench/tasks/refac-05/solution/main.shbench/tasks/refac-05/starter/main.shbench/tasks/sec-01/metric.shbench/tasks/sec-01/solution/fsutil.pybench/tasks/sec-01/starter/fsutil.pybench/tasks/sec-01/starter/main.pybench/tasks/sec-02/metric.shbench/tasks/sec-02/solution/thumbs.pybench/tasks/sec-02/starter/main.pybench/tasks/sec-02/starter/thumbs.pybench/tasks/sec-03/metric.shbench/tasks/sec-03/solution/skulib.jsbench/tasks/sec-03/starter/index.jsbench/tasks/sec-03/starter/skulib.jsbench/tasks/sec-04/metric.shbench/tasks/sec-04/solution/tmpl.jsbench/tasks/sec-04/starter/index.jsbench/tasks/sec-04/starter/tmpl.jsbench/tasks/sec-05/metric.shbench/tasks/sec-05/solution/main.shbench/tasks/sec-05/starter/main.shbench/tasks/test-01/metric.shbench/tasks/test-01/solution/tests/test_csvrows.pybench/tasks/test-01/starter/csvrows.pybench/tasks/test-01/starter/main.pybench/tasks/test-02/metric.shbench/tasks/test-02/solution/tests/test_daterange.pybench/tasks/test-02/starter/daterange.pybench/tasks/test-02/starter/main.pybench/tasks/test-03/metric.shbench/tasks/test-03/solution/tests/markup_test.jsbench/tasks/test-03/starter/index.jsbench/tasks/test-03/starter/markup.jsbench/tasks/test-04/metric.shbench/tasks/test-04/solution/tests/deque_test.jsbench/tasks/test-04/starter/deque.jsbench/tasks/test-04/starter/index.jsbench/tasks/test-05/metric.shbench/tasks/test-05/solution/tests/run_tests.shbench/tasks/test-05/starter/main.shdemo/render.shdemo/targets/goal-bridge/counter.pydemo/targets/goal-bridge/test_counter.pydemo/targets/optimize/metric.shdemo/targets/optimize/slow_fib.pydemo/targets/optimize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Files
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Read SKILL.md
@./skills/godmode/SKILL.md
---
# Universal Coding Discipline — prelude to the Protocol
**Authoring discipline governs what you decide to write. The Universal
Protocol below governs how you verify and keep it.** Read the prelude before
every Edit. For trivial tasks (one-line fixes, typos, renames, pure
formatting), use judgment — the gates apply to behavior changes.
- **Think Before Coding.** State assumptions. If multiple interpretations
exist, surface them — do NOT pick silently. Emit `NEEDS_CONTEXT` when
requirements are ambiguous.View the complete source on GitHuba11y
When your agent uses it
Accessibility. WCAG 2.1 AA/AAA, a11y audit, color contrast, keyboard navigation, screen reader, Axe, Pa11y, Lighthouse.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
2,280 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- HARD RULES
- Output Format
- TSV Logging
- Quality Targets
- Success Criteria
Files
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Read SKILL.md
# A11y — Accessibility Testing & Auditing
## Activate When
- User invokes `/godmode:a11y`
- User says "check accessibility," "is this accessible?", "WCAG compliance"
- Pre-ship quality gate during `/godmode:ship` workflow
- After UI changes, component library updates, or design system modifications
- When building forms, navigation, modals, or interactive widgets
- Code review flags missing ARIA attributes or semantic HTML issues
## Workflow
### Step 1: Define Audit Scope
Determine which pages, components, or flows to audit:View the complete source on GitHubagent
When your agent uses it
AI agent development. ReAct/plan-and-execute/multi-agent architectures, tool design, memory systems, guardrails, orchestration (LangChain, LlamaIndex, CrewAI, AutoGen).
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
2,845 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- Explicit Loop Protocol
- HARD RULES
- Auto-Detection
- Success Criteria
- Error Recovery
- Keep/Discard Discipline
- Stop Conditions
Files
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# Agent — AI Agent Development
## Activate When
- User invokes `/godmode:agent`
- User says "build an AI agent", "create an agent", "add tools to my agent"
- User says "design agent memory", "agent keeps looping", "agent safety"
- When building autonomous or semi-autonomous LLM-powered systems
- When `/godmode:prompt` identifies a need for agentic capabilities (tool use, multi-step reasoning)
- When `/godmode:rag` needs to be wrapped in an agent loop
- When the orchestrator detects agent frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, custom agent loops) in code
## Workflow
### Step 1: Agent Discovery & RequirementsView the complete source on GitHubanalytics
When your agent uses it
Product analytics implementation — event tracking, funnel analysis, A/B testing, Segment/Amplitude/Mixpanel/PostHog, privacy-compliant instrumentation.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
2,745 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- Auto-Detection
- Output Format
- TSV Logging
- Success Criteria
- Error Recovery
- Keep/Discard
- Stop Conditions
Files
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# Analytics — Analytics Implementation
## Activate When
- User invokes `/godmode:analytics`
- User says "add analytics", "track events", "set up tracking"
- User says "create a funnel", "A/B test", "implement experiments"
- User says "add Segment", "set up Amplitude", "configure Mixpanel", "add PostHog"
- User says "privacy-friendly analytics", "GDPR-compliant tracking", "cookieless analytics"
- When building new features that need usage measurement
- When `/godmode:plan` identifies analytics instrumentation tasks
## Workflow
### Step 1: Analytics Strategy DiscoveryView the complete source on GitHubangular
When your agent uses it
Angular architecture. NgRx, Signals, RxJS, standalone components, lazy loading, dependency injection, Jasmine, Jest.
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
2,301 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- Auto-Detection
- HARD RULES
- Output Format
- TSV Logging
- Success Criteria
- Error Recovery
- Keep/Discard Discipline
- Stop Conditions
- Platform Fallback
Files
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Read SKILL.md
# Angular — Angular Architecture
## Activate When
- User invokes `/godmode:angular`
- User says "build an Angular app", "Angular component", "NgRx", "Angular signals", "RxJS"
- User says "standalone components", "Angular modules", "lazy loading"
- When creating or scaffolding an Angular application
- When `/godmode:plan` or `/godmode:review` identifies Angular work
## Workflow
### Step 1: Project Discovery
```
ANGULAR PROJECT ASSESSMENT:View the complete source on GitHubapi
When your agent uses it
API design and specification. REST, GraphQL, gRPC, OpenAPI, design an API, create API spec, validate my API, endpoint.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
2,535 tokensWhen the skill is activated
Reference documents
5,358 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- Auto-Detection
- Quality Targets
- HARD RULES
- Keep/Discard Discipline
- Stop Conditions
Files
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Read SKILL.md
# API — Design & Specification
## Activate When
- User invokes `/godmode:api`
- User says "design an API", "create API spec", "write API docs"
- User says "validate my API", "is this API well-designed?"
- When building a new service or microservice that exposes endpoints
- When `/godmode:plan` identifies API-related tasks
- When `/godmode:review` flags API design issues
- User says "add an endpoint", "api endpoint", "add api endpoint"
## Workflow
### Step 1: Discovery & ContextView the complete source on GitHubapidocs
When your agent uses it
API documentation. OpenAPI, Swagger, Redoc, contract-first development, spec-first, code-first, interactive docs.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
2,540 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- TSV Logging
- Quality Targets
- Success Criteria
- Iterative Loop Protocol
- Keep/Discard
- Stop Conditions
- Error Recovery
- Output Format
Files
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# APIDocs — Documentation Generation & Interactive Specs
## Activate When
- User invokes `/godmode:apidocs`
- User says "generate API docs", "write OpenAPI spec", "set up Swagger"
- User says "add Redoc", "create API reference", "document my API"
- User says "auto-generate docs from code", "set up interactive docs"
- When `/godmode:api` finishes and documentation needs to be published
- When `/godmode:review` flags missing or outdated API documentation
- When a codebase has API routes but no corresponding spec or docs
## Workflow
### Step 1: Discovery & Approach SelectionView the complete source on GitHubarchitect
When your agent uses it
Software architecture design — system architecture, monolith/microservices/serverless/event-driven trade-offs, C4 diagrams, ADRs, CQRS, hexagonal.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
1,644 tokensWhen the skill is activated
Reference documents
18,133 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Output Format
- TSV Logging
- Quality Targets
- Success Criteria
- Keep/Discard Discipline
- Stop Conditions
- Architecture Review Loop
- Error Recovery
Files
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# Architect — Software Architecture Design
## Activate When
- User invokes `/godmode:architect`
- User says "design the architecture", "system architecture", "architectural design", "system design"
- User asks about monolith vs. microservices, serverless, or event-driven decisions
- When starting a greenfield project that needs structural decisions
- When `/godmode:think` identifies architecture as the primary concern
- When a system is hitting scaling, reliability, or maintainability walls
## Workflow
### Step 1: Context & Requirements Gathering
Understand the system before recommending architecture:View the complete source on GitHubauth
When your agent uses it
Authentication and authorization. JWT, OAuth2, OIDC, SAML, API keys, mTLS, MFA, passwordless, social login, session management, identity providers (Auth0, Okta, Cognito).
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
2,721 tokensWhen the skill is activated
Reference documents
5,762 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Key Behaviors
- Auth Flow Audit Loop
- Output Format
- TSV Logging
- Keep/Discard
- Stop Conditions
Files
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# Auth — Authentication & Authorization
## Activate When
- User invokes `/godmode:auth`
- User says "authentication", "login flow", "OAuth setup", "JWT tokens", "session management"
- User says "MFA", "two-factor", "passwordless", "social login", "SSO"
- Building features that require user identity or access control
- Integrating with identity providers (Auth0, Okta, Cognito, Keycloak, Firebase Auth)
- Pre-ship check when `/godmode:secure` detects authentication weaknesses
- Designing API authentication for `/godmode:api` endpoints
## Workflow
### Step 1: Identity Requirements DiscoveryView the complete source on GitHubautomate
When your agent uses it
Task automation. cron jobs, webhooks, GitHub Actions, Makefile, Taskfile, scripts, CI/CD, scheduled tasks.
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
1,611 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- HARD RULES
- Output Format
- Auto-Detection
- Platform Fallback
- TSV Logging
- Error Recovery
- Quality Targets
- Success Criteria
- Keep/Discard Discipline
- Stop Conditions
Files
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# Automate -- Task Automation & Workflow Orchestration
## Activate When
- User invokes `/godmode:automate`
- User says "automate this", "create a cron job", "set up a webhook"
- User says "write a Makefile", "create GitHub Action", "schedule this task"
- Project lacks automation for common tasks (lint, test, build, deploy)
## Workflow
### Step 1: Discover Context
Detect existing: task runner (Make, Task, Justfile, npm scripts), CI/CD (GitHub Actions, GitLab CI), scheduler
(crontab, k8s CronJob), scripts.
View the complete source on GitHubbackup
When your agent uses it
Backup and disaster recovery. backup strategy, disaster recovery, RPO/RTO, data integrity, durability, runbook.
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
2,573 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Auto-Detection
- Explicit Loop Protocol
- Quality Targets
- HARD RULES
- Output Format
- Success Criteria
Files
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# Backup — Backup & Disaster Recovery
## Activate When
- User invokes `/godmode:backup`
- User says "backup strategy," "disaster recovery," "what happens if we lose the database?"
- User is designing data infrastructure that needs durability guarantees
- After `/godmode:infra` provisions stateful services (databases, storage, queues)
- Incident post-mortem reveals backup or recovery gaps
- Compliance requirements mandate backup and recovery documentation
## Workflow
### Step 1: Inventory Data Assets
Identify all data that needs protection:View the complete source on GitHubbench
When your agent uses it
Formal benchmark harness. Runs a metric command N times across 2-3 variants (git refs or state-prep shell commands), checks variance, computes delta vs. declared baseline, and emits a reproducible TSV plus a one-paragraph summary. Read-only to source. Inspired by caveman's 3-arm eval.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
2,073 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Inputs
- Workflow
- Math
- Output Format
- Hard Rules
- Variance Recovery
- Keep / Discard Discipline
- Stop Conditions
- Success Criteria
- Error Recovery
- TSV Schema
Files
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## Activate When
- `/godmode:bench`, "benchmark", "compare variants", "A/B metric"
- User has a metric and wants a statistically-honest comparison between 2-3 code states
- NOT for optimization loops — use `optimize` for that. `bench` measures, never modifies source.
## Inputs
Ask once, cache for the session:
- `metric_cmd` — shell command printing ONE number to stdout (lower-is-better or higher-is-better, user declares `direction`).
- `variants` — list of 2-3 entries. Each variant is a record:
- `name` — short label (e.g. `main`, `terse_on`, `feature_branch`)
- `prep` — EITHER a git ref (`git checkout <ref>`) OR an inline shell command that puts the repo into the desired state (e.g. `export GODMODE_TERSE=1`, `git checkout feature-branch`)
- `teardown` — optional shell command to undo `prep` (default: `git checkout -` for refs, `unset VAR` for env)
- `baseline` — name of the variant all deltas are computed against. Must match one `variants[].name`.
- `N` — runs per variant. Default 5. Minimum 3. Maximum 20.View the complete source on GitHubbuild
When your agent uses it
Implementation engine. Parallel agents in worktrees from plan.
What it loads into context
Frontmatter
17 tokensAlways available to the agent
SKILL.md
2,048 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Lessons Integration
- Input
- Session Resume
- The Loop
- Output Format
- Deterministic Merge Order
- Conflict Resolution Protocol
- Revert Budget
- Scope Enforcement
- Keep/Discard Discipline
- Learning from Discards
- Reflective Diagnosis on Failure
- Stop Conditions
- Hard Rules
- Workflow
- Rules
- Parallel Hypothesis Mode
- Platform Fallback (Gemini CLI, OpenCode, Codex)
- Error Recovery
- Quality Targets
- Success Criteria
- TSV Logging
- Failure Classification
Files
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## Activate When
- `/godmode:build`, "build", "implement", "create"
- Plan exists with unimplemented tasks
## Lessons Integration
Before planning: read `.godmode/lessons.md` for known build pitfalls.
After session: append lessons about task decomposition or merge strategies that worked/failed.
## Input
Read `.godmode/plan.yaml`. Missing → `/godmode:plan` first. Skip plan only for changes touching ≤2 files.
## Session Resume
On start: check `.godmode/session-state.json`. If resuming (`stop_reason` is null), load completed tasks and pending tasks from saved state. Skip completed tasks, continue from next pending.
After each round: atomically save state (completed task IDs, pending task IDs, current round, agent results) to `.godmode/session-state.json`.View the complete source on GitHubcache
When your agent uses it
Cache. Redis, Memcached, Varnish, CDN, cache invalidation, TTL, write-through, cache stampede, thundering herd.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
1,975 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- HARD RULES
- Output Format
- Auto-Detection
- Platform Fallback (Gemini CLI, OpenCode, Codex)
- Error Recovery
- Success Criteria
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
Files
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# Cache -- Caching Strategy
## Activate When
- User invokes `/godmode:cache`
- User says "add caching", "cache invalidation", "stale data", "cache consistency"
- User says "Redis setup", "Memcached config", "CDN configuration"
- User says "cache stampede", "thundering herd", "hot key"
- When `/godmode:perf` identifies slow queries or high latency
## Workflow
### Step 1: Cache Opportunity Assessment
```
CACHE ASSESSMENT:View the complete source on GitHubchangelog
When your agent uses it
Changelog and release notes management. Keep a Changelog format, Conventional Commits auto-generation, breaking change communication, migration guides, audience-specific notes.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
1,829 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- New Features
- Bug Fixes
- Performance
- Dependencies
- Common Issues
- Rollback
- Getting Help
- Key Behaviors
- Quality Targets
- HARD RULES
- Explicit Loop Protocol
- Output Format
- Keep/Discard
- Stop Conditions
Files
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# Changelog — Changelog & Release Notes
## Activate When
- User invokes `/godmode:changelog`
- User says "update changelog", "write release notes", "what changed?"
- User says "generate migration guide", "breaking change documentation"
- User says "set up conventional commits", "auto-generate changelog"
- Preparing a release (often chained from `/godmode:release` or `/godmode:ship`)
- Recent commits introduced breaking changes that need communication
- Team publishes a new version to a package registry
## Workflow
### Step 1: Analyze Change HistoryView the complete source on GitHubchaos
When your agent uses it
Chaos engineering. failure injection, circuit breakers, game day, disaster recovery, resilience test, network failures.
What it loads into context
Frontmatter
27 tokensAlways available to the agent
SKILL.md
2,477 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- HARD RULES
- Auto-Detection
- Keep/Discard
- Stop Conditions
Files
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# Chaos — Chaos Engineering
## Activate When
- User invokes `/godmode:chaos`
- User says "chaos test", "resilience test", "failure injection", "break it on purpose"
- User asks "what happens when X fails?" or "is this resilient?"
- User wants to plan a game day or disaster recovery drill
- Ship skill needs resilience validation before production deployment
- After a production incident, to prevent recurrence
## Workflow
### Step 1: Define Steady State
Before injecting failures, establish what "healthy" looks like:View the complete source on GitHubchart
When your agent uses it
Data visualization. chart, graph, dashboard, visualize data, plot, analytics, D3.js, Chart.js, Recharts, Plotly.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
2,871 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- HARD RULES
- Auto-Detection
- Output Format
- Keep/Discard
- Stop Conditions
Files
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# Chart — Data Visualization
## Activate When
- User invokes `/godmode:chart`
- User says "create a chart", "visualize this data", "make a graph"
- User says "build a dashboard", "display metrics", "plot this"
- When building reporting pages or analytics dashboards
- When `/godmode:plan` identifies data visualization tasks
- When `/godmode:review` flags visualization accessibility or usability issues
## Workflow
### Step 1: Data & Intent Discovery
Understand the data and what the visualization needs to communicate:View the complete source on GitHubcicd
When your agent uses it
CI/CD pipeline design. GitHub Actions, GitLab CI, CircleCI, Jenkins, stage optimization, caching strategies, artifact management, matrix builds, pipeline templating.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
2,686 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Key Behaviors
- Flags & Options
- Explicit Loop Protocol
- Auto-Detection
- Output Format
Files
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# CICD — CI/CD Pipeline Design
## Activate When
- User invokes `/godmode:cicd`
- User says "create pipeline", "ci/cd pipeline", "ci cd pipeline", "set up CI/CD", "add GitHub Actions"
- User says "optimize CI", "pipeline is slow", "fix failing pipeline", "build pipeline tuning", "release pipeline"
- User says "add deployment stage", "set up matrix builds"
- Project has no CI/CD configuration
- Shipping workflow requires automated pipeline
- Pipeline performance needs improvement
## Workflow
### Step 1: Discover Pipeline ContextView the complete source on GitHubcli
When your agent uses it
CLI tool development. Argument parsing (Commander, Clap, Cobra, Click), TUI frameworks (Ink, Ratatui, Bubbletea, Rich), shell completions, config management, cross-platform distribution.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
2,708 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- Quality Targets
- HARD RULES
- Auto-Detection
- Keep/Discard
- Stop Conditions
Files
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# CLI — CLI Tool Development
## Activate When
- User invokes `/godmode:cli`
- User says "CLI tool", "command line", "terminal app", "console application"
- User mentions "TUI", "terminal UI", "interactive prompt"
- User mentions "Commander", "Clap", "Cobra", "Click", "yargs", "argparse"
- User mentions "Ink", "Ratatui", "Bubbletea", "Rich", "Textual"
- When designing argument parsing, subcommands, or flag interfaces
- When generating shell completions (bash, zsh, fish, PowerShell)
- When distributing CLI tools via package managers
## Workflow
View the complete source on GitHubcomply
When your agent uses it
Compliance and governance — GDPR, HIPAA, SOC2, PCI-DSS, audit trails, privacy controls, data retention, license compliance.
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
2,968 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- Quality Targets
- HARD RULES
- Explicit Loop Protocol
- Auto-Detection
- Output Format
- Keep/Discard
- Stop Conditions
Files
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# Comply — Compliance & Governance
## Activate When
- User invokes `/godmode:comply`
- User says "are we GDPR compliant?", "audit trail", "privacy review", "compliance check"
- Team builds features handling personal data, health data, or payment data
- Pre-ship check when `/godmode:ship` detects regulated data flows
- User needs license compliance audit across dependencies
- Preparing for SOC2 audit or regulatory review
## Workflow
### Step 1: Define Compliance Scope
Determine which regulations and what code is in scope:View the complete source on GitHubconcurrent
When your agent uses it
Concurrency and parallelism. thread safety, race condition, deadlock, lock-free, async/await, actor model, mutex, goroutine.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
2,181 tokensWhen the skill is activated
Reference documents
5,951 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Key Behaviors
- Flags & Options
- Auto-Detection
Files
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# Concurrent -- Concurrency & Parallelism
## Activate When
- User invokes `/godmode:concurrent`
- User says "thread safety", "race condition", "deadlock", "lock-free"
- User says "async/await", "actor model", "parallelism", "concurrent"
- User says "mutex", "semaphore", "channel", "goroutine", "tokio"
- When building multi-threaded or async systems
- When `/godmode:review` flags potential race conditions or deadlocks
- When `/godmode:test` reveals non-deterministic test failures
## Workflow
### Step 1: Concurrency Context AssessmentView the complete source on GitHubconfig
When your agent uses it
Config. dev/staging/prod, feature flags, A/B test rollout, config validation, env parity, secret safety, drift detection.
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
2,881 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Success Criteria
- Error Recovery
- Keep/Discard
- Stop Conditions
Files
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# Config — Environment & Configuration Management
## Activate When
- User invokes `/godmode:config`
- User says "manage environments", "config validation", "feature flags"
- User needs dev/staging/prod parity checking
- User wants to design a feature flag system or A/B test rollout
- Ship skill needs environment verification before deployment
- User asks "are my environments in sync?" or "check config drift"
## Workflow
### Step 1: Inventory Current Configuration
Map all configuration sources and environments:View the complete source on GitHubcost
When your agent uses it
Cloud cost optimization. AWS/GCP/Azure, right-sizing, waste detection, cost allocation, budget alerting, reserved instances.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
2,894 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- HARD RULES
- Explicit Loop Protocol
- Auto-Detection
- Output Format
- Keep/Discard
- Stop Conditions
Files
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# Cost — Cloud Cost Optimization
## Activate When
- User invokes `/godmode:cost`
- User says "reduce cloud costs," "optimize spending," "why is our bill so high?"
- User asks about right-sizing, reserved instances, or spot pricing
- Godmode orchestrator detects infrastructure cost concerns
- After `/godmode:infra` provisions resources that need cost governance
## Workflow
### Step 1: Inventory Cloud Resources
Discover all provisioned resources and their current costs:
View the complete source on GitHubcron
When your agent uses it
Scheduled tasks and cron jobs. cron, recurring task, background jobs, BullMQ, Celery, Sidekiq, node-cron, APScheduler.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
2,690 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- Quality Targets
- Keep/Discard
- Stop Conditions
Files
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# Cron — Scheduled Tasks & Recurring Job Orchestration
## Activate When
- User invokes `/godmode:cron`
- User says "schedule a job", "cron job", "recurring task", "run every hour"
- User says "background scheduler", "periodic task", "timed execution"
- User says "node-cron", "BullMQ repeat", "Celery beat", "Sidekiq-cron", "APScheduler", "Hangfire", "Quartz"
- User needs a task to fire on a schedule (daily reports, cleanup, syncs, heartbeats)
- User asks about cron syntax, timezone handling, or overlap protection
- User needs distributed scheduling across multiple instances
- User needs rate-limited or priority-aware recurring execution
- Godmode orchestrator detects hardcoded `setInterval` or `setTimeout` loops that need conversion to proper scheduled jobs
## WorkflowView the complete source on GitHubcrypto
When your agent uses it
Crypto. encryption, hashing, Argon2, bcrypt, key management, JWT signing, TLS hardening, digital signatures, sensitive data.
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
2,061 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- HARD RULES
- Auto-Detection
- Platform Fallback (Gemini CLI, OpenCode, Codex)
- Output Format
- Error Recovery
- Quality Targets
- Success Criteria
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
Files
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# Crypto — Cryptography Implementation
## Activate When
- User invokes `/godmode:crypto`
- User says "encryption", "hashing", "password storage", "bcrypt", "argon2"
- User says "key management", "digital signature", "JWT signing"
- User says "TLS setup", "HTTPS configuration", "certificate"
- When code handles sensitive data (PII, financial, health records)
## Workflow
### Step 1: Requirements Assessment
Classify data: at rest (passwords, PII, financial, API keys), in transit (TLS, mTLS, DB connections),
integrity (signatures, HMAC, checksums), compliance (PCI-DSS, HIPAA, GDPR, FIPS).View the complete source on GitHubddd
When your agent uses it
Domain-Driven Design. Bounded contexts, context mapping, ubiquitous language, aggregates, entities, value objects, domain events, repositories, event storming.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
2,738 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- Quality Targets
- HARD RULES
- Auto-Detection
- Output Format
- Keep/Discard
- Stop Conditions
Files
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# DDD — Domain-Driven Design
## Activate When
- User invokes `/godmode:ddd`
- User says "model the domain", "define bounded contexts", "design aggregates"
- User says "event storming", "domain events", "ubiquitous language"
- When `/godmode:architect` identifies that domain boundaries need clarification
- When `/godmode:pattern` detects an anemic domain model anti-pattern
- When business logic complexity outgrows simple CRUD operations
- When multiple teams need clear ownership boundaries
## Workflow
### Step 1: Domain DiscoveryView the complete source on GitHubdebug
When your agent uses it
Scientific debugging. Reproduce → investigate → prove root cause. Finds all bugs.
What it loads into context
Frontmatter
22 tokensAlways available to the agent
SKILL.md
1,831 tokensWhen the skill is activated
Reference documents
2,162 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Lessons Integration
- The Loop
- Stuck Criteria
- Reflective Diagnosis on Stuck
- Timeout Per Technique
- Fix Handoff Protocol
- Output Format
- Keep/Discard Discipline
- Stop Conditions
- Hard Rules
- Workflow
- Rules
- Error Recovery
- Success Criteria
- TSV Logging
- Failure Classification
Files
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## Activate When
- `/godmode:debug`, "why is this happening?", "this doesn't work"
## Lessons Integration
Before investigation: read `.godmode/lessons.md` for known root causes and debugging shortcuts.
After session: append lessons about root cause patterns discovered.
## The Loop
```
failing_count = run_tests() # test_cmd (from stack detection), count failures
current_iteration = 0
skipped = 0
View the complete source on GitHubdeploy
When your agent uses it
Advanced deployment strategies. Blue-green, canary releases, progressive rollouts, automated rollback, feature flag coordination, zero-downtime migrations, risk mitigation.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
2,463 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- HARD RULES
- Keep/Discard Discipline
- Stop Conditions
- Auto-Detection
- TSV Logging
- Success Criteria
- Error Recovery
Files
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# Deploy — Advanced Deployment Strategies
## Activate When
- User invokes `/godmode:deploy`
- User says "deploy with zero downtime," "canary release," "blue-green deployment"
- User needs rollback strategy for a risky change
- Feature flags need orchestration for a complex rollout
- Database migrations or infrastructure changes require zero-downtime approach
- Godmode orchestrator detects high-risk changes during `/godmode:ship`
## Workflow
### Step 1: Assess Deployment Context
Characterize the change and determine the correct deployment strategy:View the complete source on GitHubdesignsystem
When your agent uses it
Design system architecture. design tokens, theme systems, Figma to code, component API, Storybook, light/dark, versioning.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
2,087 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- HARD RULES
- Auto-Detection
- Multi-Agent Dispatch
- TSV Logging
- Success Criteria
- Error Recovery
- Platform Fallback
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Design System — Design System Architecture
## Activate When
- User invokes `/godmode:designsystem`
- User says "design system," "design tokens," "theme architecture," "Figma to code"
- Creating a shared component library or establishing token architecture
- Building theme support (light/dark, multi-brand) or Figma-to-code pipeline
- Versioning/distributing a design system package or auditing for consistency
## Workflow
### Step 1: Assess Current State
```
DESIGN SYSTEM ASSESSMENT:View the complete source on GitHubdevsecops
When your agent uses it
DevSecOps pipeline security. SAST/DAST/SCA scanning, secret scanning, container scanning (Trivy, Snyk, Semgrep, CodeQL), security gates, shift-left CI/CD integration.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
2,568 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Keep/Discard Discipline
- Stop Conditions
- Auto-Detection
Files
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# DevSecOps — Secure Pipeline Integration
## Activate When
- User invokes `/godmode:devsecops`
- User says "secure pipeline", "add SAST", "security scanning", "shift left"
- User says "container scan", "dependency scan", "secret scanning in CI"
- User says "security gate", "block deploys on vulnerabilities"
- Building CI/CD pipelines that handle sensitive code or data
- After `/godmode:pentest` reveals issues to catch automatically
- When `/godmode:cicd` needs security controls integrated
- Compliance requires automated security testing (SOC2, PCI-DSS, HIPAA)
## Workflow
View the complete source on GitHubdistributed
When your agent uses it
Distributed systems design — CAP theorem, consensus (Raft/Paxos), sharding, partitioning, eventual consistency, leader election, distributed locking.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
2,386 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- Auto-Detection
- Keep/Discard Discipline
- TSV Logging
- Success Criteria
- Stop Conditions
Files
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# Distributed -- Distributed Systems Design
## Activate When
- User invokes `/godmode:distributed`
- User says "distributed system", "CAP theorem", "consensus protocol"
- User says "Raft", "Paxos", "leader election", "distributed lock"
- User says "sharding", "partitioning", "eventual consistency"
- User says "split brain", "network partition", "quorum"
- When designing systems that span multiple nodes or data centers
- When `/godmode:plan` identifies distributed architecture work
- When `/godmode:review` flags consistency or partition tolerance issues
## Workflow
View the complete source on GitHubdjango
When your agent uses it
Django + FastAPI development. Project structure, DRF serializers/viewsets, Pydantic, async Django with ASGI, admin, ORM optimization, deployment.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
2,597 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Success Criteria
- Error Recovery
- Keep/Discard Discipline
- Stop Conditions
Files
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# Django — Django & FastAPI Development
## Activate When
- User invokes `/godmode:django`
- User says "Django", "Django project", "Django app"
- User mentions "FastAPI", "Pydantic", "dependency injection"
- User asks about "DRF", "Django REST Framework", "serializers", "viewsets"
- User mentions "Django admin", "admin customization"
- User asks about "ASGI", "async Django", "Uvicorn", "Daphne"
- User says "django view", "views.py", "Django view for"
- When `/godmode:plan` identifies a Python web project
- When `/godmode:review` flags Django or FastAPI architecture issues
## WorkflowView the complete source on GitHubdocker
When your agent uses it
Docker containerization — Dockerfile, multi-stage builds, Docker Compose, image size optimization, security scanning, networking, volumes.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
2,717 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Flags & Options
- HARD RULES
- Keep/Discard Discipline
- Stop Conditions
- Auto-Detection
- Output Format
- TSV Logging
- Success Criteria
- Error Recovery
Files
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# Docker — Docker Mastery
## Activate When
- User invokes `/godmode:docker`
- User says "Dockerfile", "docker compose", "container image", "multi-stage build"
- User says "image size", "docker security", "container optimization"
- User needs to containerize an application for the first time
- User wants to optimize an existing Docker setup
- User needs local development environment with Docker Compose
- Pre-ship check identifies Docker configuration issues
- Godmode orchestrator detects Dockerfile anti-patterns during `/godmode:review`
## Workflow
View the complete source on GitHubdocs
When your agent uses it
Docs. OpenAPI/Swagger, JSDoc, docstrings, README, runbook, API docs, stale docs audit, missing coverage.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
2,272 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Rollback
- Verification
- Contacts
- Key Behaviors
- Flags & Options
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Success Criteria
- Error Recovery
- Keep/Discard Discipline
- Stop Conditions
Files
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# Docs — Documentation Generation & Maintenance
## Activate When
- User invokes `/godmode:docs`
- User says "generate docs", "document this", "write a README"
- User asks for runbooks, API docs, or onboarding guides
- Shipping skill detects undocumented public APIs
- User says "are our docs up to date?" or "check documentation"
## Workflow
### Step 1: Determine Documentation Scope
Identify what documentation is needed:
View the complete source on GitHube2e
When your agent uses it
End-to-end testing skill. Activates for browser-based E2E tests, cross-browser testing, flaky test fixes, or page object models. Supports Playwright, Cypress, Selenium. Triggers on: /godmode:e2e, "E2E test", "browser test", "Playwright test", "Cypress test".
What it loads into context
Frontmatter
83 tokensAlways available to the agent
SKILL.md
1,726 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Keep/Discard Discipline
- Loop Protocol
- Auto-Detection
- Output Format
- TSV Logging
- Stop Conditions
- Error Recovery
Files
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# E2E — End-to-End Testing
## Activate When
- User invokes `/godmode:e2e`
- User says "end to end", "end-to-end", "e2e test", "user flow test", "checkout flow"
- User says "E2E test", "browser test", "integration test"
- User asks about Playwright, Cypress, or Selenium
- User needs to fix flaky E2E tests
- Ship skill needs user-flow validation
## Workflow
### Step 1: Assess E2E Test State
View the complete source on GitHubedge
When your agent uses it
Edge computing and serverless. Deno Deploy, distributed state, Cloudflare Workers, Vercel Edge, AWS Lambda.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
1,911 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Loop Protocol
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Edge — Edge Computing & Serverless
## Activate When
- User invokes `/godmode:edge`
- User says "edge function", "Cloudflare Workers",
"Vercel Edge", "serverless API", "AWS Lambda"
- User says "optimize cold start", "reduce latency"
- User says "edge caching", "Durable Objects", "KV store"
## Workflow
### Step 1: Discovery & Context
```bashView the complete source on GitHubWhen your agent uses it
Email and notifications. SendGrid, SES, Postmark, Resend, MJML, React Email, delivery tracking, DNS auth.
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
1,594 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Email — Email & Notification Systems
## Activate When
- User invokes `/godmode:email`
- User says "send emails", "email templates"
- User says "notification system", "push notifications"
- User says "bounce handling", "deliverability"
- Application needs email or notification infrastructure
## Workflow
### Step 1: Requirements Discovery
```bashView the complete source on GitHubeval
When your agent uses it
AI/LLM evaluation. Benchmark creation, regression testing, statistical significance, LLM-as-judge, promptfoo.
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
1,730 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Loop Protocol
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Eval — AI/LLM Evaluation
## Activate When
- User invokes `/godmode:eval`
- User says "evaluate my model", "benchmark this"
- User says "LLM-as-judge", "compare models", "run evals"
- When deploying or updating any AI/LLM component
## Workflow
### Step 1: Evaluation Discovery
```bash
# Find existing eval infrastructureView the complete source on GitHubevent
When your agent uses it
Event-driven architecture. SQS, NATS, schema versioning, DLQ, retry policies, idempotency.
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
1,648 tokensWhen the skill is activated
Reference documents
7,007 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Quality Targets
- HARD RULES
- Auto-Detection
- Loop Protocol
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Event -- Event-Driven Architecture
## Activate When
- User invokes `/godmode:event`
- User says "event sourcing", "CQRS", "message broker"
- User says "Kafka", "RabbitMQ", "dead letter queue"
- When building loosely coupled async systems
## Workflow
### Step 1: Event Architecture Assessment
```bash
# Detect message broker infrastructureView the complete source on GitHubexperiment
When your agent uses it
A/B testing, experimentation, statistical analysis. Triggers on: /godmode:experiment, "A/B test", "split test", "statistical significance", "Optimizely", "Statsig", "GrowthBook".
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
1,819 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Experiment — A/B Testing & Experimentation
## Activate When
- User invokes `/godmode:experiment`
- User says "A/B test", "split test", "experiment"
- User says "statistical significance", "sample size"
- User says "Statsig", "Optimizely", "GrowthBook"
## Workflow
### Step 1: Experiment Discovery
```bash
# Detect experimentation SDKView the complete source on GitHubfastapi
When your agent uses it
FastAPI mastery skill. Covers Pydantic models, DI, async DB access, background tasks, WebSocket, testing. Triggers on: /godmode:fastapi, "fastapi", "pydantic", "async api", "python api".
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,825 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# FastAPI — FastAPI Mastery
## Activate When
- User invokes `/godmode:fastapi`
- User says "build a FastAPI app", "async API"
- User asks about Pydantic, DI, async endpoints
- When working with Python async backend services
- User says "fastapi route", "FastAPI endpoint", "route for orders"
## Workflow
### Step 1: Project Assessment
```bashView the complete source on GitHubfeature
When your agent uses it
Feature flag design, gradual rollouts, A/B testing, kill switches. LaunchDarkly, Unleash, Flagsmith. Triggers on: /godmode:feature, "feature flag", "gradual rollout", "kill switch", "A/B test".
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,728 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Feature — Feature Flags & Progressive Delivery
## Activate When
- User invokes `/godmode:feature`
- User says "feature flag", "gradual rollout"
- User says "kill switch", "A/B test"
- Deploying needs safer rollout or deploy/release decoupling
## Workflow
### Step 1: Flag Strategy Assessment
```bash
# Detect existing flag infrastructureView the complete source on GitHubfinish
When your agent uses it
Branch finalization. Validate, squash-merge, PR, keep, or discard. Clean state enforced. Triggers on: /godmode:finish, "done with branch", "merge this", "finalize", "wrap up".
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,290 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Auto-Detection
- Workflow
- Output Format
- TSV Logging
- Completion Verification Protocol
- Quality Targets
- Hard Rules
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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## Activate When
- `/godmode:finish`, "done", "merge", "finalize"
- Feature branch has commits ahead of main
- Another skill completes and branch is ready
## Auto-Detection
Routes here when:
- `git log main..HEAD --oneline` returns 1+ commits
AND user says "done", "merge", "finish"
- `/godmode:build` completes all tasks
- User explicitly invokes `/godmode:finish`
## Workflow
View the complete source on GitHubfix
When your agent uses it
Fix loop. One fix per commit, auto-revert on regression, until zero errors. Max 3 attempts per error. Triggers on: /godmode:fix, "fix this", "tests failing", "broken build", "lint errors".
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
1,194 tokensWhen the skill is activated
Reference documents
1,570 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Fix vs Debug Handoff
- Workflow
- One Fix Per Iteration
- Output Format
- TSV Logging
- Hard Rules
- Anti-Patterns
- Quality Targets
- Success Criteria
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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## Activate When
- `/godmode:fix`, "fix this", "tests failing"
- Build, lint, or test returns non-zero exit code
- Called by other skills when checks fail
## Fix vs Debug Handoff
`/godmode:fix` assumes root cause is KNOWN.
If root cause unknown: route to `/godmode:debug`.
## Workflow
```bash
# Detect stack and run checks
build_cmd 2>&1; echo "EXIT: $?"View the complete source on GitHubforms
When your agent uses it
Form architecture skill. Multi-step wizards, validation (client + server, async), file uploads, accessible form design. Triggers on: /godmode:forms, "form validation", "multi-step form", "wizard", "file upload", "form accessibility".
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
1,652 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Forms — Form Architecture
## Activate When
- User invokes `/godmode:forms`
- User says "form validation", "multi-step form", "wizard"
- When building any form beyond a simple single input
- When handling file uploads or auditing form a11y
## Workflow
### Step 1: Assess Form Requirements
```bash
# Detect form librariesView the complete source on GitHubghactions
When your agent uses it
GitHub Actions workflows, custom actions, CI/CD. Matrix builds, reusable workflows, composite actions, caching, security hardening. Triggers on: /godmode:ghactions, "GitHub Actions", "workflow", ".github/workflows", "matrix build".
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
1,653 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Quality Targets
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# GHACTIONS — GitHub Actions Expert
## Activate When
- User invokes `/godmode:ghactions`
- User says "create workflow", "add GitHub Actions"
- User says "matrix build", "reusable workflow"
- User mentions `.github/workflows/` or `action.yml`
- Project needs CI/CD on GitHub Actions
## Workflow
### Step 1: Discover Repository Context
```bashView the complete source on GitHubgit
When your agent uses it
Advanced Git workflows skill. Branching models, merge vs rebase, interactive rebase, git bisect, cherry-pick, worktrees, commit conventions. Triggers on: /godmode:git, "branching strategy", "rebase vs merge", "git bisect", "cherry-pick".
What it loads into context
Frontmatter
76 tokensAlways available to the agent
SKILL.md
1,830 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Quality Targets
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Git — Advanced Git Workflows
## Activate When
- User invokes `/godmode:git`
- User says "branching strategy", "rebase vs merge"
- User says "git bisect", "interactive rebase"
- User needs parallel development with worktrees
- Messy history detected during review or ship
## Workflow
### Step 1: Assess Repository Context
```bashView the complete source on GitHubgoal-bridge
When your agent uses it
Machine-checkable completion contracts for agent goal modes. goal mode, /goal, goal contract, completion contract, evaluator, metric command, exit-zero contract, evidence path, rollback trigger.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
581 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- Stop Conditions
- Integration
Files
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# Goal-Bridge — Completion Contracts for Goal Modes
## Activate When
- User invokes `/godmode:goal-bridge`
- User sets a goal in a harness goal mode (`/goal` or your harness's equivalent)
- User asks "how do we know this is done"
- An evaluator needs a command that exits 0
## Workflow
### Step 1: Derive the Contract BEFORE Execution
No work starts until the contract exists. Derive all four fields up front:
- **metric** — ONE shell command where exit 0 = goal met. Never prose judgment.
- **threshold** — numeric or boolean bound the metric must satisfy.View the complete source on GitHubgodmode
When your agent uses it
Orchestrator. Routes to skills, detects stack/phase, dispatches multi-agent worktrees. Triggers on: /godmode, /godmode:<skill>.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
5,059 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Step 0a: Check Terse Mode
- Step 0: Check for Resumable Session
- Step 0b: Load Lessons
- Step 0c: Enable Token Logging (default on)
- Step 1: Detect Stack (once, cache)
- Step 2: Match Skill (Tier 1 routing)
- Step 3: Detect Phase (State Machine)
- Step 3b: Failure-Aware Routing
- Step 3c: Resolve Model Per Role (dispatch time)
- Step 4: Execute
- Output Format
- Quality Targets
- Hard Rules
- Rules
- Keep/Discard Discipline
- Meta-Loop (Outer Loop)
- Persistence
- Stop Conditions
- TSV Logging
- Error Recovery
- Model Routing Capability Matrix
Files
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## Activate When
- `/godmode` without subcommand
- `/godmode:<skill>` — read `skills/<skill>/SKILL.md`
- Natural language request → match to skill
## Step 0a: Check Terse Mode
IF `$GODMODE_TERSE` is set OR `/godmode:terse on` was invoked this session:
compress all emitted output per `skills/terse/SKILL.md`. TSV rows, code blocks,
error messages, commit messages, and the final user-facing summary stay
verbose. Terse is an emit contract only — loops, decisions, commits, and
TSV writes are identical in both modes. See `skills/terse/SKILL.md` for the
full contract and the before/after examples.
Also check `.godmode/session-state.json` for auto-activation. If the fileView the complete source on GitHubgraphql
When your agent uses it
GraphQL API development skill. Schema design, resolver architecture, N+1 detection with DataLoader, subscriptions, federation, performance hardening. Triggers on: /godmode:graphql, "GraphQL schema", "fix N+1 queries", "set up subscriptions".
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
1,915 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Quality Targets
- HARD RULES
- Auto-Detection
- Loop Protocol
- Quality Targets (Detailed)
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# GraphQL — API Development
## Activate When
- User invokes `/godmode:graphql`
- User says "build a GraphQL API", "design schema"
- User says "write a graphql resolver", "resolver", "graphql resolver"
- User says "fix N+1 queries", "add DataLoader"
- User says "set up subscriptions", "federate schema"
## Workflow
### Step 1: Discovery & Context
```bashView the complete source on GitHubgrpc
When your agent uses it
gRPC and Protocol Buffers skill. Proto design, code generation, streaming patterns, gRPC-web, load balancing, service mesh integration. Triggers on: /godmode:grpc, "gRPC service", "proto file", "streaming RPC", "gRPC-web".
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
2,045 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Quality Targets
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# gRPC — Protocol Buffers & Service Development
## Activate When
- User invokes `/godmode:grpc`
- User says "build a gRPC service", "design proto"
- User says "add streaming", "bidirectional stream"
- User says "set up gRPC-web"
- Plan identifies gRPC or inter-service communication
## Workflow
### Step 1: Discovery & Context
```bashView the complete source on GitHubi18n
When your agent uses it
Internationalization & localization skill. String extraction, translation workflows, pluralization, date/number/currency formatting, RTL support, character set validation. Triggers on: /godmode:i18n, "internationalize", "translate", "RTL support".
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
1,912 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- HARD RULES
- Auto-Detection
- Loop Protocol
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# I18n — Internationalization & Localization
## Activate When
- User invokes `/godmode:i18n`
- User says "internationalize", "translate", "localize"
- User mentions "RTL support", "pluralization"
- When hardcoded strings detected in UI code
## Workflow
### Step 1: Audit Current State
```bash
# Detect i18n libraryView the complete source on GitHubincident
When your agent uses it
Incident response and post-mortem skill. Severity classification (SEV1-4), timeline construction, blameless post-mortems, action item tracking. Triggers on: /godmode:incident, "production is down", "post-mortem", "incident report".
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
1,939 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Investigation Loop
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Incident — Incident Response & Post-Mortem
## Activate When
- User invokes `/godmode:incident`
- User reports production outage or degradation
- User says "production is down", "write a post-mortem"
- Monitoring alerts or PagerDuty notifications shared
## Workflow
### Step 1: Incident Classification
```bash
# Check recent deployments (common root cause)View the complete source on GitHubinfra
When your agent uses it
Infrastructure as Code skill. Terraform, CloudFormation, Pulumi, CDK. IaC testing, cost estimation, drift detection, policy enforcement. Triggers on: /godmode:infra, "terraform plan", "provision infrastructure", "infrastructure review".
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
1,687 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Quality Targets
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Infra — Infrastructure as Code
## Activate When
- User invokes `/godmode:infra`
- User says "terraform plan", "provision infrastructure"
- User says "check drift", "estimate costs"
- Deployment requires new cloud resources
## Workflow
### Step 1: Discover Infrastructure Context
```bash
# Detect IaC toolView the complete source on GitHubintegration
When your agent uses it
Integration testing skill. Tests across real boundaries — databases, APIs, message queues. Covers Testcontainers, DB seeding/cleanup, API integration. Triggers on: /godmode:integration, "test with real database", "testcontainers".
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
1,659 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Quality Targets
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Integration — Integration Testing
## Activate When
- User invokes `/godmode:integration`
- User says "integration test", "integration testing", "test integration between services"
- User says "test with real database", "test API"
- User asks about Testcontainers or Docker-based deps
- `/godmode:test` identifies integration coverage gaps
## Workflow
### Step 1: Assess Integration Boundaries
```bashView the complete source on GitHubk8s
When your agent uses it
Kubernetes and container orchestration skill. Helm charts, deployment strategies (rolling, canary, blue-green), pod health, resource limits, scaling. Triggers on: /godmode:k8s, "deploy to kubernetes", "helm chart", "pod crashing", "OOMKilled".
What it loads into context
Frontmatter
74 tokensAlways available to the agent
SKILL.md
1,710 tokensWhen the skill is activated
Reference documents
6,342 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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Read SKILL.md
# K8s — Kubernetes & Container Orchestration
## Activate When
- User invokes `/godmode:k8s`
- User says "deploy to kubernetes", "create helm chart"
- User says "pod crashing", "OOMKilled", "CrashLoopBackOff"
- Application is containerized and needs manifests
## Workflow
### Step 1: Discover Kubernetes Context
```bash
# Gather cluster infoView the complete source on GitHublaravel
When your agent uses it
Laravel mastery skill. Eloquent ORM, service container, queues, events, Sanctum/Passport auth, Pest testing. Triggers on: /godmode:laravel, "laravel app", "eloquent", "artisan", "blade".
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
1,835 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Laravel — Laravel Mastery
## Activate When
- User invokes `/godmode:laravel`
- User says "build a Laravel app", "Laravel API"
- User asks about Eloquent, Blade, Livewire, queues
- When working with PHP backend using Laravel
## Workflow
### Step 1: Project Assessment
```bash
# Detect Laravel versionView the complete source on GitHublegacy
When your agent uses it
Legacy code modernization skill. Characterization tests, golden master, incremental modernization, dependency upgrades, dead code removal. Triggers on: /godmode:legacy, "legacy code", "modernize", "tech debt", "dead code".
What it loads into context
Frontmatter
61 tokensAlways available to the agent
SKILL.md
1,854 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Quality Targets
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Legacy — Legacy Code Modernization
## Activate When
- User invokes `/godmode:legacy`
- User says "understand this legacy code"
- User says "modernize", "tech debt", "dead code"
- Codebase has no tests, deprecated APIs, EOL deps
## Workflow
### Step 1: Legacy Code Characterization
```bash
# Assess codebase age and activityView the complete source on GitHublint
When your agent uses it
Linting and code standards skill. ESLint, Prettier, Biome, Ruff, golangci-lint. Custom rules, auto-fix, pre-commit hooks, style enforcement. Triggers on: /godmode:lint, "linting", "code style", "prettier", "eslint", "formatter", "pre-commit hooks".
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
1,731 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Lint — Linting & Code Standards
## Activate When
- User invokes `/godmode:lint`
- User says "set up linting", "fix code style"
- User asks about ESLint, Prettier, Biome, Ruff
- Codebase has inconsistent formatting
- Migrating between linting tools
## Workflow
### Step 1: Assess Current State
```bashView the complete source on GitHubloadtest
When your agent uses it
Load testing and performance testing skill. k6, Artillery, Locust, JMeter. Stress, spike, soak testing. Statistical significance checking. Triggers on: /godmode:loadtest, "load test", "stress test", "performance test", "benchmark".
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
1,851 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Loadtest — Load Testing & Performance
## Activate When
- User invokes `/godmode:loadtest`
- User says "load test", "stress test", "performance under load"
- User says "load test", "stress test", "benchmark"
- User asks "can it handle the load?"
- Ship skill needs performance validation
## Workflow
### Step 1: Define Test Scope
```bashView the complete source on GitHublogging
When your agent uses it
Structured logging skill. JSON logs, log levels, correlation IDs, PII redaction, log aggregation, retention policies. ELK/Loki/CloudWatch pipelines. Triggers on: /godmode:logging, "structured logging", "log levels", "correlation ID", "PII redaction".
What it loads into context
Frontmatter
74 tokensAlways available to the agent
SKILL.md
2,140 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Quality Targets
- HARD RULES
- Auto-Detection
- Quality Targets (Detailed)
- Output Format
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Logging — Structured Logging
## Activate When
- User invokes `/godmode:logging`
- User says "structured logging", "JSON logs"
- User says "log levels", "correlation ID", "trace ID"
- User says "log aggregation", "ELK", "Loki"
- User needs PII redaction or compliance-aware logging
## Workflow
### Step 1: Logging Assessment
```bashView the complete source on GitHubmicro
When your agent uses it
Microservices design and management.
What it loads into context
Frontmatter
12 tokensAlways available to the agent
SKILL.md
991 tokensWhen the skill is activated
Reference documents
7,056 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:micro`, "design microservices"
- "decompose this monolith", "service mesh"
- "saga pattern", "inter-service communication"
## Workflow
### 1. System Context
```bash
find . -name "docker-compose*" -o -name "*.proto" \
| head -10
grep -r "microservices\|grpc\|moleculer" \
package.json 2>/dev/null
```View the complete source on GitHubmigrate
When your agent uses it
Database migration and schema management.
What it loads into context
Frontmatter
12 tokensAlways available to the agent
SKILL.md
1,149 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:migrate`, "add a column", "schema change"
- Model/entity file modified needing migration
- "is this migration safe?", "will this break production?"
## Workflow
### 1. Detect Migration Environment
```bash
# Auto-detect ORM/tool
ls prisma/schema.prisma drizzle.config.ts \
alembic/env.py db/migrate/ 2>/dev/null
```
```View the complete source on GitHubmigration
When your agent uses it
System migration and technology transition.
What it loads into context
Frontmatter
12 tokensAlways available to the agent
SKILL.md
1,203 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:migration`, "migrate from X to Y"
- "convert to TypeScript", "move to microservices"
- "upgrade from React 17 to 19", "strangler fig"
## Workflow
### 1. Migration Assessment
```
Source: <language, framework, architecture, data stores>
Target: <target stack and architecture>
Code size: <files, LOC, modules>
Test coverage: <percentage>
Team size: <N developers>View the complete source on GitHubml
When your agent uses it
ML development and experimentation.
What it loads into context
Frontmatter
11 tokensAlways available to the agent
SKILL.md
1,077 tokensWhen the skill is activated
Reference documents
5,804 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
SKILL.mdcore3,873 bytesSKILL.mdcore3,873 bytesreferences/ml-evaluation.mddoc21,861 bytes
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## Activate When
- `/godmode:ml`, "train a model", "compare experiments"
- "evaluate model", "check for bias", "dataset quality"
- ML-related code detected (training loops, features)
## Workflow
### 1. Experiment Definition
```
ID: EXP-<YYYY-MM-DD>-<NNN>
Hypothesis: <what you expect and why>
Objective: <metric to optimize>
Baseline: <current best or naive baseline>
Task: classification|regression|ranking|generationView the complete source on GitHubmlops
When your agent uses it
MLOps and model deployment.
What it loads into context
Frontmatter
14 tokensAlways available to the agent
SKILL.md
1,136 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:mlops`, "deploy model", "model serving"
- "model drift", "retrain", "A/B test models"
- Trained model ready for production deployment
## Workflow
### 1. Model Readiness
```
Model: <name and version>
Source: EXP-<ID>
Checklist:
[ ] Evaluation complete (test metrics documented)
[ ] Bias/fairness check passedView the complete source on GitHubmobile
When your agent uses it
Mobile app development (iOS/Android/cross-platform).
What it loads into context
Frontmatter
18 tokensAlways available to the agent
SKILL.md
1,081 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:mobile`, "mobile app", "iOS", "Android"
- "React Native", "Flutter", "Swift", "Kotlin"
- App signing, store submission, mobile performance
## Workflow
### 1. Platform Assessment
```
Target: iOS|Android|both
Approach: native|cross-platform|hybrid
IF cross-platform:
Framework: React Native|Flutter|KMP|.NET MAUI
Shared: business logic only|business+UI|everythingView the complete source on GitHubmonorepo
When your agent uses it
Monorepo architecture and management -- Turborepo, Nx, Lerna, Bazel, boundaries, caching.
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
996 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:monorepo`, "monorepo", "workspace setup"
- "selective builds", "dependency graph", "boundaries"
- Multi-package project with slow CI or tangled deps
## Workflow
### 1. Assessment
```bash
ls turbo.json nx.json lerna.json \
pnpm-workspace.yaml 2>/dev/null
find . -name "package.json" -maxdepth 3 | wc -l
```
```View the complete source on GitHubnetwork
When your agent uses it
Network, DNS, SSL/TLS, CDN, load balancers.
What it loads into context
Frontmatter
20 tokensAlways available to the agent
SKILL.md
1,282 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:network`, "configure DNS", "SSL certificate"
- "CDN setup", "load balancer", "firewall rules"
- "502 bad gateway", "certificate expired", "VPC design"
## Workflow
### 1. Network Discovery
```bash
dig +short <domain> A
dig +short <domain> CNAME
dig +short <domain> MX
dig +short <domain> TXT
nslookup <domain>View the complete source on GitHubnextjs
When your agent uses it
Next.js mastery -- App Router, Server Components, data fetching, rendering strategies, optimization.
What it loads into context
Frontmatter
26 tokensAlways available to the agent
SKILL.md
1,161 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:nextjs`, "Next.js", "App Router"
- "Server Components", "server actions", "ISR"
- "SSG", "SSR", "next/image", "middleware"
- "nextjs page", "Next.js page", "nextjs dashboard"
## Workflow
### 1. Project Assessment
```bash
cat next.config.* 2>/dev/null
ls app/ pages/ 2>/dev/null
grep "next" package.json 2>/dev/null
```View the complete source on GitHubnode
When your agent uses it
Node.js backend development.
What it loads into context
Frontmatter
11 tokensAlways available to the agent
SKILL.md
1,084 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:node`, "Node.js backend", "REST API"
- "Express", "Fastify", "Hono", "NestJS"
- "middleware", "streams", "worker threads", "event loop"
- "node service", "spin up a node", "Node.js service"
## Workflow
### 1. Project Assessment
```
Type: REST API|GraphQL|real-time|microservice|CLI
Scale: <expected RPS, concurrent connections>
Framework: Express|Fastify|Hono|NestJS|none
Runtime: Node.js|Bun|DenoView the complete source on GitHubnosql
When your agent uses it
NoSQL database design (Mongo, DynamoDB, etc).
What it loads into context
Frontmatter
19 tokensAlways available to the agent
SKILL.md
910 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:nosql`, "mongodb schema", "dynamodb design"
- "cassandra model", "neo4j graph", "time-series"
- "which database?", "nosql vs sql?"
## Workflow
### 1. Requirements Assessment
```
Data model: Document|Key-Value|Wide-Column|Graph|TimeSeries
Access patterns: <list read/write patterns + frequency>
Scale: <expected documents, queries/sec>
Consistency: eventual|strong|tunable
```View the complete source on GitHubnotify
When your agent uses it
Push notifications, SMS, in-app notifications, notification preferences, multi-channel delivery.
What it loads into context
Frontmatter
23 tokensAlways available to the agent
SKILL.md
1,039 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:notify`, "push notifications", "SMS alerts"
- "Twilio", "FCM", "APNs", "OneSignal", "in-app"
- "notification center", "notification preferences"
- "notification digest", "quiet hours"
## Workflow
### 1. Architecture Discovery
```bash
grep -r "sendgrid\|twilio\|firebase.*messaging" \
--include="*.ts" --include="*.js" -l 2>/dev/null
grep -r "NotificationService\|notification_service" \
--include="*.ts" --include="*.py" -l 2>/dev/nullView the complete source on GitHubnpm
When your agent uses it
Package management (npm/yarn/pnpm/bun).
What it loads into context
Frontmatter
17 tokensAlways available to the agent
SKILL.md
1,043 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:npm`, "npm install", "package manager"
- "lock file", "version conflict", "dependency resolution"
- "monorepo workspace", "publish package", "npm audit"
## Workflow
### 1. Assess Context
```bash
# Detect package manager
ls package-lock.json yarn.lock pnpm-lock.yaml \
bun.lockb 2>/dev/null
# Count dependencies
cat package.json | grep -c '":'View the complete source on GitHubobserve
When your agent uses it
Monitoring and observability (metrics/logs/traces).
What it loads into context
Frontmatter
17 tokensAlways available to the agent
SKILL.md
1,162 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:observe`, "add monitoring", "set up logging"
- "create alerts", "define SLOs", "build dashboard"
- Shipping without observability instrumentation
- "prometheus", "metrics", "observability stack", "monitoring metrics"
## Workflow
### 1. Assessment
```
| Pillar | Status | Coverage | Tools |
| Metrics | PARTIAL | 40% | Prometheus |
| Logging | BASIC | 60% | stdout |
| Tracing | NONE | 0% | — |View the complete source on GitHubonboard
When your agent uses it
Codebase onboarding and architecture walkthrough.
What it loads into context
Frontmatter
13 tokensAlways available to the agent
SKILL.md
1,049 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:onboard`, "explain this codebase"
- "architecture overview", "how does this work?"
- New team member needs project orientation
## Workflow
### 1. Project Discovery
```bash
ls package.json Cargo.toml go.mod pyproject.toml \
pom.xml Gemfile *.csproj 2>/dev/null
find . -name "*.ts" -o -name "*.py" -o -name "*.go" \
| grep -v node_modules | wc -l
git log --oneline -20View the complete source on GitHubopensource
When your agent uses it
Open source project management.
What it loads into context
Frontmatter
12 tokensAlways available to the agent
SKILL.md
984 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:opensource`, "set up open source project"
- "contributing guide", "code of conduct", "issue templates"
- Preparing to publicly publish a repository
## Workflow
### 1. Repository Health Check
```bash
ls LICENSE CODE_OF_CONDUCT.md CONTRIBUTING.md \
SECURITY.md .github/ISSUE_TEMPLATE/ \
.github/PULL_REQUEST_TEMPLATE.md \
.github/CODEOWNERS 2>/dev/null
# Secrets auditView the complete source on GitHuboptimize
When your agent uses it
Autonomous optimization loop. 3 parallel agents per round, mechanical metrics only.
What it loads into context
Frontmatter
23 tokensAlways available to the agent
SKILL.md
1,576 tokensWhen the skill is activated
Reference documents
5,419 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Setup (once)
- Session Resume
- Lessons Integration
- The Loop
- Parallel Hypothesis Mode
- Stuck Recovery
- Simplicity Criterion
- Hard Rules
- TSV Logging
- Keep/Discard
- Learning from Discards
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:optimize`, "make faster", "improve", "optimize"
## Setup (once)
Ask: Goal, Metric (`cmd` -> single number),
Direction (up/down), Scope (file globs).
### Baseline
```bash
# Run metric_cmd 3 times, take median
metric_cmd; metric_cmd; metric_cmd
```
IF variance >5%: 10 runs, trim outliers, median of 8.
If metric variance > 5% across 3 runs: consider Docker isolation for deterministic measurement.View the complete source on GitHuborm
When your agent uses it
ORM and data access optimization.
What it loads into context
Frontmatter
12 tokensAlways available to the agent
SKILL.md
1,132 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:orm`, "which ORM", "Prisma vs Drizzle"
- "N+1 query", "connection pool", "transaction"
- ORM usage audit for performance issues
## Workflow
### 1. Detect Environment
```bash
grep -r "prisma\|drizzle-orm\|typeorm\|sqlalchemy" \
package.json requirements.txt go.mod 2>/dev/null
grep -r "include:\|select_related\|joinedload" \
--include="*.ts" --include="*.py" -l 2>/dev/null
```View the complete source on GitHubpattern
When your agent uses it
Design pattern recommendation and anti-pattern detection.
What it loads into context
Frontmatter
16 tokensAlways available to the agent
SKILL.md
871 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:pattern`, "what pattern should I use"
- "detect anti-patterns", "code smells", "refactor structure"
- Review skill identifies structural issues
## Workflow
### 1. Problem Analysis
```bash
find src/ -name "*.ts" | xargs wc -l \
| sort -rn | head -20
npx madge --circular src/
```
```View the complete source on GitHubpay
When your agent uses it
Payment and billing integration -- Stripe, subscriptions, invoicing, tax, PCI compliance.
What it loads into context
Frontmatter
24 tokensAlways available to the agent
SKILL.md
1,011 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:pay`, "integrate Stripe", "accept payments"
- "subscription billing", "recurring charges"
- "invoice system", "tax calculation", "PCI compliance"
## Workflow
### 1. Requirements
```bash
grep -r "stripe\|paypal\|braintree" \
package.json requirements.txt 2>/dev/null
```
```
Model: one-time | subscription | metered | marketplaceView the complete source on GitHubpentest
When your agent uses it
Penetration testing (OWASP methodology).
What it loads into context
Frontmatter
16 tokensAlways available to the agent
SKILL.md
1,162 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:pentest`, "penetration test", "security test"
- "find exploits", "hack test", "red team exercise"
- Preparing for security assessment or compliance audit
## Workflow
### 0. Authorization (MANDATORY)
```
NEVER test without explicit authorization.
Scope: <in-scope targets, out-of-scope exclusions>
IF NOT authorized: stop immediately.
```
View the complete source on GitHubperf
When your agent uses it
Performance profiling -- CPU, memory, concurrency, benchmarking with statistical rigor.
What it loads into context
Frontmatter
21 tokensAlways available to the agent
SKILL.md
1,020 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:perf`, "profile this", "find bottleneck"
- "memory leak", "race condition", "deadlock"
- "benchmark", "flame graph", "why is this slow"
## Workflow
### 1. Profiling Strategy
```bash
# Node.js CPU profile
node --cpu-prof --cpu-prof-dir=./profiles app.js
# Go CPU profile
go tool pprof http://localhost:6060/debug/pprof/profile
# Python memoryView the complete source on GitHubpipeline
When your agent uses it
Data pipeline and ETL -- extraction, transformation, loading, data quality, orchestration.
What it loads into context
Frontmatter
25 tokensAlways available to the agent
SKILL.md
972 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:pipeline`, "build a data pipeline", "ETL"
- "data flow", "sync data", "data quality"
- Move, transform, or load data between systems
## Workflow
### 1. Data Flow Specification
```bash
ls dags/ dbt_project.yml dagster.yaml 2>/dev/null
grep -r "airflow\|dagster\|prefect\|kafka" \
requirements.txt package.json 2>/dev/null
```
```View the complete source on GitHubplan
When your agent uses it
Task decomposition and dependency planning. Reads spec and outputs ordered implementation tasks.
What it loads into context
Frontmatter
21 tokensAlways available to the agent
SKILL.md
1,021 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:plan`, "break down", "plan this"
- "create tasks", "what are the steps"
- `.godmode/spec.md` exists but no `.godmode/plan.yaml`
## Workflow
### 1. Read Context
```bash
cat .godmode/spec.md
git ls-files | head -200
find . -maxdepth 3 -type f \
\( -name "*.ts" -o -name "*.py" -o -name "*.go" \) \
| head -80View the complete source on GitHubpostgres
When your agent uses it
PostgreSQL mastery -- advanced features, replication, partitioning, tuning, connection pooling.
What it loads into context
Frontmatter
24 tokensAlways available to the agent
SKILL.md
1,524 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:postgres`, "postgres performance"
- "tune postgres", "replication", "partition table"
- "pgbouncer", "pgvector", "full-text search"
- "VACUUM", "ANALYZE", "bloat", "pg_stat"
- "postgres migration", "write a migration", "postgres schema"
## Workflow
### 1. Environment Assessment
```sql
SELECT version();
SHOW shared_buffers;
SHOW work_mem;View the complete source on GitHubpr
When your agent uses it
Pull request excellence and review optimization.
What it loads into context
Frontmatter
13 tokensAlways available to the agent
SKILL.md
874 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:pr`, "create a PR", "stacked PRs"
- "PR template", "PR too large", "review request"
- Large diff detected during `/godmode:ship`
## Workflow
### 1. Assess PR Context
```bash
git diff --stat main...HEAD
git log --oneline main...HEAD
```
```
Branch: <name> | Base: <target> | Commits: <N>View the complete source on GitHubpredict
When your agent uses it
3-persona + meta-expert evaluation. Independent assessment then synthesis. Gate before build.
What it loads into context
Frontmatter
26 tokensAlways available to the agent
SKILL.md
951 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:predict`, "will this work?", "evaluate"
- "risk assessment", "is this a good idea?"
- Spec exists and user wants confidence check
- Called by `/godmode:plan` when >10 tasks detected
## Workflow
### 1. Define
```bash
cat .godmode/spec.md
git ls-files | head -50
```
IF no spec: ask user for description or runView the complete source on GitHubprinciples
When your agent uses it
Authoring discipline prelude. Think -> Simplicity -> Surgical -> Goal-driven. Read before any Edit. Based on Karpathy's LLM-coding-mistakes observations. Complements the Universal Protocol with an authoring layer.
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
981 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. Think Before Coding
- 2. Simplicity First
- 3. Surgical Changes
- 4. Goal-Driven Execution
Files
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# Authoring Discipline — Prelude to the Universal Protocol
**Scope.** Governs what you *decide to write*. The Universal Protocol in
`SKILL.md` governs *how you verify and keep it*. On conflict, Protocol wins.
**Tradeoff.** Biases toward caution over speed. For trivial tasks (one-line
fixes, typos, renames, pure formatting), use judgment and skip the pre-flight.
The gates apply to tasks that change behavior.
**When.** Every agent, every skill, every round — before the first Edit.
## 1. Think Before Coding
Don't assume. Don't hide confusion. Surface tradeoffs. Before the first Edit:View the complete source on GitHubprompt
When your agent uses it
Prompt engineering -- design, test, version, and optimize prompts for LLMs.
What it loads into context
Frontmatter
24 tokensAlways available to the agent
SKILL.md
1,079 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Optimization Loop
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:prompt`, "design a prompt", "test prompt"
- "optimize my prompt", "prevent prompt injection"
- Building LLM-powered features
## Workflow
### 1. Requirements
```
Task: <what the prompt must accomplish>
Model: <target model>
Input/Output: <format and constraints>
Quality: accuracy target, safety, consistency
Budget: max tokens, latency, cost per callView the complete source on GitHubquery
When your agent uses it
Query optimization and EXPLAIN analysis.
What it loads into context
Frontmatter
14 tokensAlways available to the agent
SKILL.md
1,077 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:query`, "this query is slow", "optimize"
- EXPLAIN plan interpretation, indexing strategy
- N+1 problem, complex aggregation, slow query log
## Workflow
### 1. Query Context
```
Database: PostgreSQL|MySQL|SQLite|MongoDB|Redis
Access via: Raw SQL|Prisma|Django ORM|ActiveRecord|GORM
Table(s): <involved tables>
Estimated rows: <approximate counts>
Current time: <ms> Target: <ms>View the complete source on GitHubqueue
When your agent uses it
Message queue and job processing -- Kafka, RabbitMQ, SQS, BullMQ, Celery, Sidekiq.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
1,364 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:queue`, "add background jobs", "set up queue"
- "retry failed jobs", "dead letter queue", "job stuck"
- "rate limit processing", "backpressure"
## Workflow
### 1. Requirements
```bash
grep -r "bullmq\|celery\|sidekiq\|kafkajs\|sqs" \
package.json requirements.txt 2>/dev/null
```
```
Use case: job processing | event streaming | pub/subView the complete source on GitHubrag
When your agent uses it
RAG (Retrieval-Augmented Generation) systems.
What it loads into context
Frontmatter
17 tokensAlways available to the agent
SKILL.md
1,322 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:rag`, "build RAG system", "knowledge base"
- "improve retrieval", "RAG hallucinating"
- Building Q&A, chatbot, or search-augmented features
## Workflow
### 1. Requirements
```
Use case: <questions the system must answer>
Data sources: <docs, wiki, DB, PDFs, code>
Corpus: <N documents, N tokens, N MB>
Update frequency: static|daily|real-time
Query patterns:View the complete source on GitHubrails
When your agent uses it
Ruby on Rails mastery.
What it loads into context
Frontmatter
11 tokensAlways available to the agent
SKILL.md
1,173 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:rails`, "rails app", "ruby on rails"
- "activerecord", "hotwire", "turbo", "sidekiq"
- Rails backend implementation tasks
## Workflow
### 1. Project Assessment
```
Rails version: <7.2.x or 8.0.x>
Ruby version: <3.3.x>
Architecture: Full-stack (Hotwire)|API-only|Hybrid
Database: PostgreSQL (ALWAYS for production)
Jobs: Sidekiq|Solid Queue|Good JobView the complete source on GitHubratelimit
When your agent uses it
Rate limiting algorithms, quota management, throttling, API protection.
What it loads into context
Frontmatter
22 tokensAlways available to the agent
SKILL.md
1,162 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:ratelimit`, "rate limit", "throttle"
- "API quota", "token bucket", "sliding window"
- "DDoS protection", "abuse prevention", "429"
- "rate limiting", "rate limit middleware", "throttling", "request throttle"
## Workflow
### 1. Assessment
```bash
grep -r "rate.limit\|ratelimit\|throttle" \
package.json requirements.txt go.mod 2>/dev/null
grep -r "rateLim\|throttle\|RateLimit" \
--include="*.ts" --include="*.py" -l 2>/dev/nullView the complete source on GitHubrbac
When your agent uses it
Permission and access control (RBAC/ABAC/ReBAC).
What it loads into context
Frontmatter
20 tokensAlways available to the agent
SKILL.md
1,048 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:rbac`, "permissions", "access control"
- "roles", "who can access", "authorization model"
- Building features restricting authenticated user actions
## Workflow
### 1. Requirements Discovery
```
App type: monolith|microservices|multi-tenant SaaS
Complexity:
Simple roles (admin/user/viewer) -> RBAC
Dynamic attributes (time/location) -> ABAC
Resource relationships (owner/member) -> ReBACView the complete source on GitHubreact
When your agent uses it
React architecture -- components, state, performance, Server Components, testing.
What it loads into context
Frontmatter
21 tokensAlways available to the agent
SKILL.md
1,035 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:react`, "React app", "component architecture"
- "state management", "React performance", "re-renders"
- "hooks", "Server Components", "React Testing Library"
- "React component", "build a react", "react component"
## Workflow
### 1. Project Assessment
```bash
grep -E "react|zustand|jotai|redux|react-query" \
package.json 2>/dev/null
grep -r "use client\|use server" \
--include="*.tsx" -l 2>/dev/null | head -10View the complete source on GitHubrealtime
When your agent uses it
Real-time communication -- WebSocket, SSE, pub/sub, collaboration, presence systems.
What it loads into context
Frontmatter
24 tokensAlways available to the agent
SKILL.md
1,165 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:realtime`, "add websockets", "real-time"
- "live notifications", "typing indicator", "presence"
- "collaborative editing", "live cursors", "SSE"
- Polling patterns that need push-based delivery
## Workflow
### 1. Requirements Assessment
```bash
grep -r "socket.io\|ws\|websocket\|sse\|EventSource" \
--include="*.ts" --include="*.js" -l 2>/dev/null
grep -r "redis.*pub\|redis.*sub\|createAdapter" \
--include="*.ts" --include="*.js" -l 2>/dev/nullView the complete source on GitHubredis
When your agent uses it
Redis architecture and system design.
What it loads into context
Frontmatter
12 tokensAlways available to the agent
SKILL.md
1,342 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:redis`, "design a cache", "redis cluster"
- "pub/sub", "rate limiting", "session store"
- "leaderboard", "Lua scripting", "redis streams"
- "redis caching", "tune redis", "redis cache"
## Workflow
### 1. Use Case Assessment
```bash
redis-cli INFO server | grep redis_version
redis-cli INFO memory | grep -E \
"used_memory_human|maxmemory_human|maxmemory_policy"
redis-cli INFO stats | grep keyspace_hitView the complete source on GitHubrefactor
When your agent uses it
Large-scale code refactoring and transformation.
What it loads into context
Frontmatter
15 tokensAlways available to the agent
SKILL.md
984 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- Complexity Thresholds
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:refactor`, "refactor this", "clean up"
- "extract", "inline", "move", "rename", "reorganize"
- Review skill identifies maintainability score < 6/10
## Workflow
### 1. Assess Refactoring Scope
```bash
find . -name "*.ts" -o -name "*.js" -o -name "*.py" \
| xargs wc -l | sort -rn | head -20
grep -rn "<pattern>" --include="*.ts" --include="*.js"
```
```View the complete source on GitHubreliability
When your agent uses it
Site reliability engineering -- SLO/SLI/SLA, error budgets, toil, on-call, runbooks, incidents.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
1,183 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:reliability`, "SRE", "SLO", "error budget"
- "toil", "on-call", "runbook", "incident management"
- Establishing production operations for a new service
## Workflow
### 1. Service Context
```bash
grep -r "healthcheck\|health-check\|/health" \
--include="*.ts" --include="*.py" -l 2>/dev/null
grep -r "pagerduty\|opsgenie\|alertmanager" \
--include="*.yaml" --include="*.yml" -l 2>/dev/null
```View the complete source on GitHubresearch
When your agent uses it
Prior art and context gathering. Explorer subagent, docs/ecosystem scan, existing patterns, relevant dependencies, writes research.md for the think skill.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
1,417 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- Keep / Discard Discipline
- Stop Conditions
- Output Format
- TSV Logging
- Error Recovery
- Integration with Think
Files
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# Research — Prior Art & Context Gathering
## Activate When
- `/godmode:research`, "research", "prior art", "existing patterns"
- Before `/godmode:think` for features touching >5 files or mentioning
an external library, framework, or standard by name
- Spec rework: `.godmode/spec.md` exists but think was stuck
Skip for trivial tasks (one-line fixes, typos, renames) — go straight
to the relevant skill.
## Workflow
View the complete source on GitHubresilience
When your agent uses it
System resilience -- circuit breakers, retries, bulkheads, graceful degradation, health checks.
What it loads into context
Frontmatter
24 tokensAlways available to the agent
SKILL.md
1,268 tokensWhen the skill is activated
Reference documents
7,880 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
SKILL.mdcore4,893 bytesSKILL.mdcore4,893 bytesreferences/resilience-patterns.mddoc27,009 bytes
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## Activate When
- `/godmode:resilience`, "circuit breaker", "retry"
- "rate limiting", "bulkhead", "graceful degradation"
- "health check", "timeout", "what if service is down"
- Ship skill needs resilience validation
## Workflow
### 1. Resilience Assessment
```bash
grep -r "circuitBreaker\|CircuitBreaker\|opossum\|gobreaker" \
--include="*.ts" --include="*.js" --include="*.go" \
-l 2>/dev/null
grep -r "retry\|backoff\|Retry" \View the complete source on GitHubresponsive
When your agent uses it
Responsive and adaptive design with CSS Grid, Flexbox, container queries, and fluid typography.
What it loads into context
Frontmatter
25 tokensAlways available to the agent
SKILL.md
1,239 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:responsive`, "responsive design", "mobile-first"
- "container queries", "responsive layout", "adaptive"
- Building interfaces that must work across breakpoints
## Workflow
### 1. Assess Requirements
```bash
grep -r "@media\|@container" --include="*.css" \
--include="*.scss" -l 2>/dev/null | head -10
grep -r "srcset\|sizes" --include="*.html" \
--include="*.tsx" --include="*.jsx" -l 2>/dev/null
```View the complete source on GitHubreview
When your agent uses it
4-agent code review. Correctness, security, performance, style. Auto-fixes NITs.
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
973 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Hard Rules
- TSV Logging
- Keep/Discard
- Failure Classification
- Cross-Model Review (Optional)
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:review`, "review this", "check my code"
## Workflow
### 1. Gather Diff
```bash
git diff main...HEAD
```
Read every changed file. >500 lines -> split into
per-directory reviews.
### 2. Multi-Agent Review (4 agents, parallel)
- **Correctness**: logic errors, off-by-ones, null,View the complete source on GitHubrfc
When your agent uses it
RFC and technical proposal writing.
What it loads into context
Frontmatter
13 tokensAlways available to the agent
SKILL.md
937 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Quality Targets
- Quality Targets (Summary)
- Hard Rules
- TSV Logging
- Keep/Discard
- Stop Conditions
- Autonomous Operation
- Error Recovery
Files
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## Activate When
- `/godmode:rfc`, "write a proposal", "RFC for"
- "propose a change", "need team buy-in"
- Design decision too large for single-person ADR
## Workflow
### 1. Determine RFC Type
```
FEATURE: 2 reviewers, 3-day comment period
ARCHITECTURE: 3 reviewers, 5-day comment period
PROCESS: All team, 5-day comment period
DEPRECATION: 2 reviewers + leads, 5-day period
MIGRATION: 3 reviewers, 7-day comment periodView the complete source on GitHubscale
When your agent uses it
Scalability engineering. Horizontal/vertical decisions, auto-scaling, read replicas, connection pooling, rate limiting, capacity planning.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
1,503 tokensWhen the skill is activated
Reference documents
10,470 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- Iterative Loop
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Scale -- Scalability Engineering
## Activate When
- `/godmode:scale`, "scaling", "auto-scale", "read replica"
- "rate limiting", "capacity planning", "too slow"
- Load testing reveals bottlenecks or saturation alerts
## Workflow
### Step 1: Scalability Assessment
```
SCALABILITY CONTEXT:
Architecture: Monolith | Microservices | Serverless
Current Scale: <RPS, concurrent users, data volume>View the complete source on GitHubscenario
When your agent uses it
Edge case exploration. 12 dimensions, scored by likelihood x impact. Runnable tests for HIGH+.
What it loads into context
Frontmatter
28 tokensAlways available to the agent
SKILL.md
1,329 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- TSV Logging
- Quality Targets
- Hard Rules
- Keep/Discard Discipline
- Stop Conditions
Files
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## Activate When
- `/godmode:scenario`, "edge cases", "failure modes"
- "what could go wrong?", "break this", "stress test"
- Before shipping features with user input or APIs
- After build when no edge case coverage exists
## Workflow
### 1. Read the Design
Read spec, plan, and code. Trace the data flow:
```
Input -> Validation -> Transform -> Logic -> Persist
-> Side Effects -> Response
```View the complete source on GitHubschema
When your agent uses it
Data modeling and schema design. Relational, NoSQL, migrations, ER modeling, validation schemas.
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
1,541 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
- Quality Targets
Files
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# Schema -- Data Modeling & Schema Design
## Activate When
- `/godmode:schema`, "data model", "design the schema"
- Normalization, denormalization, schema trade-offs
- NoSQL data modeling, validation schemas (Zod, Protobuf)
- Schema evolution, versioning, backward compatibility
## Workflow
### Step 1: Understand the Domain
```
DOMAIN ANALYSIS:
Application: <purpose>View the complete source on GitHubsearch
When your agent uses it
Search implementation. Full-text search, relevance tuning, facets, autocomplete, fuzzy matching.
What it loads into context
Frontmatter
27 tokensAlways available to the agent
SKILL.md
1,562 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Search -- Search Implementation
## Activate When
- `/godmode:search`, "add search", "improve relevance"
- "build autocomplete", "faceted search", "add filters"
- Fuzzy matching, synonyms, multilingual search
- Existing search is slow, irrelevant, or missing
## Workflow
### Step 1: Requirements Assessment
```
SEARCH REQUIREMENTS:
Use case: site | product | document | log | autocompleteView the complete source on GitHubsecrets
When your agent uses it
Secrets management. Leak detection, rotation, vault setup, .env management, access auditing.
What it loads into context
Frontmatter
27 tokensAlways available to the agent
SKILL.md
1,384 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Keep/Discard Discipline
- Stop Conditions
Files
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# Secrets -- Secrets Management
## Activate When
- `/godmode:secrets`, "manage secrets", "rotate credentials"
- "check for leaks", "scan for exposed secrets"
- Security audit flags hardcoded credentials
- Credential rotation is overdue
## Workflow
### Step 1: Secret Inventory
```
| Secret | Source | Status |
|-----------------------|----------|---------|View the complete source on GitHubsecure
When your agent uses it
Security audit. STRIDE + OWASP Top 10 + 4 red-team personas. Code evidence required.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
1,333 tokensWhen the skill is activated
Reference documents
2,285 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Findings Format
- TSV Logging
- Quality Targets
- Hard Rules
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
- Output Format
Files
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## Activate When
- `/godmode:secure`, "security audit", "vulnerabilities"
- "harden", "pentest", "threat model"
- "sql injection", "owasp", "owasp top 10", "vulnerability scan"
- "check owasp", "owasp issues", "security issues"
## Workflow
### 1. Recon
```bash
# Dependency audit
npm audit 2>/dev/null || pip audit 2>/dev/null \
|| cargo audit 2>/dev/null
View the complete source on GitHubseed
When your agent uses it
Database seeding, test fixtures, factory patterns, fake data generation. Idempotent seed scripts.
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
1,417 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Seed -- Database Seeding & Test Data
## Activate When
- `/godmode:seed`, "seed the database", "generate test data"
- "create fixtures", factory patterns (FactoryBot, fishery)
- Fake data generation (Faker.js, Faker Python)
- Data anonymization for production snapshots
## Workflow
### Step 1: Detect Environment
```bash
# Detect ORM and factory libraries
grep -r "prisma\|typeorm\|sequelize\|django\|sqlalchemy" \View the complete source on GitHubseo
When your agent uses it
SEO optimization. Meta tags, structured data, Core Web Vitals, sitemap, robots.txt, Open Graph.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
1,484 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# SEO -- SEO Optimization & Technical Auditing
## Activate When
- `/godmode:seo`, "SEO audit", "meta tags"
- "structured data", "schema markup", "Core Web Vitals"
- "sitemap", "robots.txt", "Open Graph"
- Pre-ship quality gate or search ranking drops
## Workflow
### Step 1: Technical Discovery
```bash
# Check for sitemap and robots.txt
curl -sf https://example.com/sitemap.xml | head -5View the complete source on GitHubsetup
When your agent uses it
Configuration wizard. Auto-detects project stack, validates commands, saves .godmode/config.yaml.
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
2,438 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Output Format
- TSV Logging
- Quality Targets
- Hard Rules
- Keep/Discard Discipline
- Stop Conditions
Scripts executed separately
../../adapters/pi/models.sh../../adapters/pi/models.sh../../adapters/pi/models.sh../../adapters/pi/models.sh../../adapters/pi/models.sh../../adapters/pi/models.sh
Files
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# Setup -- Configuration Wizard
## Activate When
- `/godmode:setup`, first-time use (no .godmode/)
- A skill needs test/lint/build cmd but none exists
- "configure godmode", "set up", "initialize"
## Workflow
### Step 1: Detect Stack
```bash
# Check manifests (most specific first)
ls package.json pyproject.toml Cargo.toml go.mod \
Gemfile pom.xml build.gradle composer.json 2>/dev/nullView the complete source on GitHubship
When your agent uses it
Ship workflow. Checklist, dry-run, ship, verify. PR, deploy, or release.
What it loads into context
Frontmatter
28 tokensAlways available to the agent
SKILL.md
1,280 tokensWhen the skill is activated
Reference documents
1,969 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- TSV Logging
- Output Format
- Hard Rules
- Keep/Discard Discipline
- Stop Conditions
Files
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## Activate When
- `/godmode:ship`, "ship it", "deploy", "release"
- "merge", "push to prod", "create a PR"
- All checks pass and user wants to deliver
## Workflow
```bash
# 1. INVENTORY — What's being shipped?
git log main..HEAD --oneline
git diff main..HEAD --stat
```
```
commits = git log main..HEAD --oneline
IF commits is empty:View the complete source on GitHubslo
When your agent uses it
SLOs, SLIs, error budgets, burn rate alerts, reliability targets, service level management.
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
1,710 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# SLO -- Service Level Objectives
## Activate When
- `/godmode:slo`, "SLO", "SLI", "SLA", "error budget"
- "reliability target", "uptime", "burn rate"
- Defining reliability contracts for services
- Incident reveals SLO violations went undetected
## Workflow
### Step 1: Service Context
```
Service: <name and purpose>
Type: User-facing API | Internal API | Pipeline | BatchView the complete source on GitHubspring
When your agent uses it
Spring Boot mastery. Auto-configuration, security, Data JPA, Actuator, testing with TestContainers.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
1,499 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- TSV Logging
- Quality Targets
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Spring -- Spring Boot Mastery
## Activate When
- `/godmode:spring`, "spring boot", "spring security"
- "spring data", "spring cloud", "actuator"
- Java/Kotlin backend work using Spring framework
## Workflow
### Step 1: Project Assessment
```
Spring Boot version: <3.3.x>
Language: Java <version> | Kotlin <version>
Build tool: Maven | Gradle (Kotlin DSL preferred)View the complete source on GitHubstate
When your agent uses it
State management design. Frontend state, server state, state machines, optimistic updates, caching.
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
1,604 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# State -- State Management Design
## Activate When
- `/godmode:state`, "manage state", "global state"
- Redux, Zustand, Jotai, Pinia, React Query, SWR
- State machines (XState), optimistic updates
- Stale state, race conditions, sync bugs
## Workflow
### Step 1: Audit Current State
```bash
# Detect state libraries
grep -r "from 'redux\|from 'zustand\|from 'jotai\|from '@tanstack/react-query\|from 'pinia" \View the complete source on GitHubstdio
When your agent uses it
Stdio. Canonical terse command patterns, 13 terse equivalents, context-efficient bash, pairs with terse and rtk.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
1,987 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- The Four Layers
- Canonical Patterns
- Hard Rules — When NOT to Compress
- Integration Contract
- Interaction With rtk
- Keep / Discard Discipline
- Success Criterion
- Stop Conditions
Files
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# Stdio — Canonical Command Patterns
**Purpose.** Tool output is the largest source of wasted context in a
coding loop. `ls -la` on a 500-file directory, `git log` with full
bodies, `pytest` with verbose traces on a passing run — all emit kilobytes
the model will re-read and never use. This skill is the godmode-native
convention for reading input terse-by-default. It is pure behavior:
no binary to install, no hook to register, just 13 patterns every
skill should reach for before the verbose alternative.
**Scope.** Governs the *input* side of every skill — what you pipe into
context when you ask bash a question. Sibling to `terse` (output side)
and `principles` (authoring side). On conflict with the Universal
Protocol in `SKILL.md`, Protocol wins.View the complete source on GitHubstorage
When your agent uses it
File storage and CDN. Object storage, presigned URLs, image/video processing, lifecycle policies.
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
1,319 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Storage -- File Storage & CDN
## Activate When
- `/godmode:storage`, "file upload", "S3 bucket"
- "presigned URL", "image processing", "CDN"
- "storage costs", "lifecycle policy", "backup"
## Workflow
### Step 1: Requirements Discovery
```
File Types: images | docs | video | audio | archives
Max Upload Size: images <10MB, video <500MB
Storage Provider: S3 | GCS | Azure Blob | R2View the complete source on GitHubsvelte
When your agent uses it
Svelte/SvelteKit mastery. Runes reactivity, stores, routing, form actions, SSR, adapter configuration.
What it loads into context
Frontmatter
34 tokensAlways available to the agent
SKILL.md
1,403 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Auto-Detection
- Workflow
- Key Behaviors
- Quality Targets
- HARD RULES
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Svelte -- Svelte/SvelteKit Mastery
## Activate When
- `/godmode:svelte`, "Svelte app", "SvelteKit"
- "Svelte stores", "runes", "$state", "load functions"
- "form actions", "SvelteKit routing"
- "work in svelte", "svelte component", "write svelte"
## Auto-Detection
```bash
cat package.json 2>/dev/null \
| grep -E '"svelte"|"@sveltejs/kit"'
ls svelte.config.js svelte.config.ts 2>/dev/null
```View the complete source on GitHubtailwind
When your agent uses it
Tailwind CSS mastery. Configuration, custom plugins, responsive design, dark mode, performance, CVA.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
1,382 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Tailwind -- Tailwind CSS Mastery
## Activate When
- `/godmode:tailwind`, "set up Tailwind", "Tailwind config"
- "responsive design", "dark mode", "utility CSS"
- "Tailwind plugin", "design tokens"
## Workflow
### Step 1: Project Assessment
```bash
# Detect Tailwind version and config
grep "tailwindcss" package.json 2>/dev/null
ls tailwind.config.* postcss.config.* 2>/dev/nullView the complete source on GitHubteam
When your agent uses it
Team bundles. Invoke named skill bundles, YAML coordination pattern, dispatch pipeline/parallel/swarm, /godmode:team.
What it loads into context
Frontmatter
31 tokensAlways available to the agent
SKILL.md
1,973 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Bundle Format
- Pattern Must Be One Of
- Workflow
- Example Bundle: api-backend
- TSV Logging
- Hard Rules
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
- Relationship to Other Skills
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## Activate When
- `/godmode:team <name>` — load `.godmode/teams/<name>.yaml` and dispatch
- `/godmode:team` without a name — list bundles found in `.godmode/teams/`
- Natural language "run the <name> team" or "use the <name> bundle"
A team bundle is the INVOCATION layer. `docs/coordination-patterns.md` is the
VOCABULARY layer. Individual skills under `skills/` are the WORK layer. This
skill is only glue — it never defines new skill logic inline.
## Bundle Format
Each team lives at `.godmode/teams/<name>.yaml`. Fields:
```yaml
name: api-backend # team name, matches filenameView the complete source on GitHubterse
When your agent uses it
Output-compression mode for long autonomous loops. Activates via GODMODE_TERSE=1 env var or /godmode:terse. Compresses round summaries, status lines, and agent reports 40-60% while preserving TSVs, code, errors, commit messages, and the final user-facing summary.
What it loads into context
Frontmatter
75 tokensAlways available to the agent
SKILL.md
1,794 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Auto-Activation
- What Compresses
- What Stays Verbose (Never Compress)
- Before / After Examples
- Compression Rules
- Integration Contract
- Hard Rules
- Success Criterion
- Stop Conditions
- Output Format
Files
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# Terse — Output Compression for Autonomous Loops
**Purpose.** Over a 20-round optimization loop, verbose prose summaries
dominate emitted tokens even though a human is rarely reading intermediate
rounds. Terse mode compresses the emit contract 40-60% without changing
the loop, the decisions, or the logged state. Inspired by caveman's
output-compression idea, restricted to what is safe for a structured,
TSV-driven workflow.
## Activate When
- `$GODMODE_TERSE` is set (any non-empty value)
- `/godmode:terse on` invoked (sets env var for the session)
- Auto-enable after 5+ consecutive rounds with no human interactionView the complete source on GitHubtest
When your agent uses it
TDD loop. RED-GREEN-REFACTOR until coverage target met.
What it loads into context
Frontmatter
26 tokensAlways available to the agent
SKILL.md
1,137 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- The Loop
- Quality Targets
- Output Format
- Workflow Detail
- Hard Rules
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
- TSV Logging
Files
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## Activate When
- `/godmode:test`, "write tests", "test coverage"
## The Loop
```bash
# Measure current coverage
npx vitest --coverage 2>&1 | tail -5
# Or: pytest --cov=src --cov-report=term | grep TOTAL
# Or: go test -cover ./...
```
```
coverage = measure_coverage()
target = user_target OR 80
current_iteration = 0View the complete source on GitHubthink
When your agent uses it
Design session. Explore problem, scan codebase, generate 2-3 approaches, recommend one, produce .godmode/spec.md.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
1,338 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Output Format
- TSV Logging
- Hard Rules
- Keep/Discard Discipline
- Stop Conditions
- Error Recovery
Files
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# Think -- Design Session & Spec Generation
## Activate When
- `/godmode:think`, "design", "brainstorm"
- "what's the best approach", "how should I build"
- No .godmode/spec.md exists for requested feature
- /godmode:predict returned RETHINK gate
## Workflow
### Step 1: Understand the Problem
```
PROBLEM STATEMENT:
- Goal: <one sentence>View the complete source on GitHubtokens
When your agent uses it
Token-budget observability for godmode loops. Per-round cost tracking, token-log.tsv append, session-end summary, per-skill breakdown, delta vs prior sessions.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
2,239 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Inputs
- Workflow
- Token Heuristic
- TSV Schema
- Output Format
- Success Criterion
- Hard Rules
- Keep / Discard Discipline
- Stop Conditions
Files
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## Activate When
- `/godmode:tokens`, "token budget", "how expensive was this loop", "context cost"
- Any multi-round skill (optimize, refactor, debug, bench, terse) that runs a loop with DECIDE/LOG boundaries
- At session end, when the user asks "is my token usage trending up or down?"
- NOT for live streaming or real-time metering — this is append-per-round observability only. If you want a live meter, use a shell prompt, not this skill.
- Opt-out: if `GODMODE_TOKENS=0` is set in the environment, this skill is a no-op. Privacy-sensitive workflows (medical, secrets, PII sweeps) can set this to disable all round-size logging for the session. Opt-out is sticky per session; never overridden by auto-activation.
## Inputs
Ask once, cache for the session:
- `session_id` — stable id for the run. Default: `date +%s` at session start, reused across every round.
- `skill` — the skill driving the current round (read from session-state.json, not re-asked).
- `round` — monotonic counter, read from session-state.json.
- `terse_on` — boolean. `1` if `$GODMODE_TERSE` is non-empty, else `0`.
- `rtk_detected` — `1` if `command -v rtk` returns zero, else `0`. Logged as environment context, not used for computation.View the complete source on GitHubtutorial
When your agent uses it
Day-0 onboarding walkthrough. Gets a first-time user from a fresh install to a successful /godmode:think or /godmode:optimize session in under 5 minutes, with a concrete starter task and a reading of the results TSV.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
2,223 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Before You Begin
- Walkthrough
- Common Pitfalls
- What To Read Next
- Optional: Pair With rtk for Input-Side Compression
- Output Format
- Hard Rules
- Stop Conditions
Files
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## Activate When
- `/godmode:tutorial`, "how do I start", "first run"
- User has just installed godmode and has not yet produced a `.godmode/` directory
- User asks "what should I try first"
## Before You Begin
Terminal, git repo, one supported coding agent/harness (detected in
Step 1 below). Don't use a branch you care about:
`git checkout -b godmode-tutorial`.
## Walkthrough
### Step 1: Detect your platform (30s)
```bashView the complete source on GitHubtype
When your agent uses it
Type system and schema validation. Strict TypeScript, runtime validation (Zod), type narrowing, schema-first development.
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
1,575 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Quality Targets
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Type -- Type System & Schema Validation
## Activate When
- `/godmode:type`, "type safety", "TypeScript strict"
- "Zod", "runtime validation", "schema validation"
- Type errors are frequent or `any` is widespread
- API boundaries lack runtime validation
## Workflow
### Step 1: Type Safety Audit
```bash
# Count any/unknown usage
grep -rn ": any" --include="*.ts" --include="*.tsx" \View the complete source on GitHubui
When your agent uses it
UI component architecture. Design systems, Storybook, CSS architecture, design tokens, component patterns.
What it loads into context
Frontmatter
29 tokensAlways available to the agent
SKILL.md
1,504 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- Quality Targets
- HARD RULES
- Auto-Detection
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# UI -- UI Component Architecture
## Activate When
- `/godmode:ui`, "component architecture"
- "design system", "UI review", "Storybook setup"
- Building reusable components or shared UI packages
## Workflow
### Step 1: Analyze Current Architecture
```bash
# Detect framework and CSS approach
grep -r "react\|vue\|svelte\|@angular/core" \
package.json 2>/dev/nullView the complete source on GitHubupload
When your agent uses it
File upload handling, image optimization, media processing, signed URLs, multipart, virus scanning.
What it loads into context
Frontmatter
28 tokensAlways available to the agent
SKILL.md
1,511 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Upload -- File Upload & Media Processing
## Activate When
- `/godmode:upload`, "file upload", "presigned URL"
- "multipart upload", "chunked", "resumable", "tus"
- "image optimization", "Sharp", "video processing"
- "virus scanning", "ClamAV", "MIME type check"
## Workflow
### Step 1: Requirements
```
File types: Images | Video | Docs | Audio | Archives
Max sizes: Images <10MB, Video <500MB, Docs <50MBView the complete source on GitHubverify
When your agent uses it
Evidence gate. Run command, read full output, confirm or deny claim. No trust, only proof.
What it loads into context
Frontmatter
30 tokensAlways available to the agent
SKILL.md
3,166 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Hard Rules
- Anti-Patterns
- Keep/Discard Discipline
- Stop Conditions
- Output Format
- Error Recovery
Scripts executed separately
../../adapters/pi/models.sh../../adapters/pi/models.sh../../adapters/pi/models.sh../../adapters/pi/models.sh../../adapters/pi/models.sh../../adapters/pi/models.sh
Files
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## Activate When
- `/godmode:verify`, "prove it", "verify this"
- "/godmode:doctor", "which model is each role using", "model routing check"
- Another skill claims a result without evidence
- User questions a previous result
## Workflow
### 0. Doctor Mode (early exit)
IF the invocation is `/godmode:doctor` or a model-routing question
("which model is each role using", "model routing check"): produce the
routing table per the spec below, print it, STOP. Skip Steps 1-8 and skip
the Goal-Bridge contract in Output Format -- the doctor is a configView the complete source on GitHubvue
When your agent uses it
Vue.js mastery. Composition API, Pinia, Vue Router, Nuxt SSR/SSG, Vite optimization, testing.
What it loads into context
Frontmatter
35 tokensAlways available to the agent
SKILL.md
1,563 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Auto-Detection
- Workflow
- Key Behaviors
- Quality Targets
- HARD RULES
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Vue -- Vue.js Mastery
## Activate When
- `/godmode:vue`, "Vue app", "Vue component"
- "Composition API", "Pinia", "Vue Router"
- "Nuxt project", "Nuxt SSR", "Nuxt SSG"
## Auto-Detection
```bash
cat package.json 2>/dev/null \
| grep -E '"vue"|"nuxt"|"@vue/"'
cat node_modules/vue/package.json 2>/dev/null \
| grep '"version"'
```View the complete source on GitHubwebhook
When your agent uses it
Webhook design, delivery, retry, HMAC verification, event subscriptions, dead letter queues.
What it loads into context
Frontmatter
28 tokensAlways available to the agent
SKILL.md
2,061 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Webhook -- Design, Delivery & Security
## Activate When
- `/godmode:webhook`, "write a webhook", "webhook handler"
- "webhook delivery", "callback URL"
- "verify webhook signature", "retry failed webhooks"
- "dead letter queue", "event notifications"
- When API needs to notify external systems
## Workflow
### Step 1: Discovery
```bash
# Detect webhook libraries and patternsView the complete source on GitHubwebperf
When your agent uses it
Web performance optimization. Lighthouse, bundle analysis, code splitting, image optimization, critical CSS, fonts, service workers, CDN.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
1,707 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activate When
- Workflow
- Key Behaviors
- HARD RULES
- Auto-Detection
- TSV Logging
- Output Format
- Keep/Discard Discipline
- Stop Conditions
Files
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# Webperf -- Web Performance Optimization
## Activate When
- `/godmode:webperf`, "page is slow", "Lighthouse"
- "bundle too large", "code splitting", "lazy loading"
- "image optimization", "critical CSS", "font loading"
- Pre-ship quality gate or Core Web Vitals regression
## Workflow
### Step 1: Performance Baseline
```bash
# Lighthouse audit (median of 3 runs)
npx lighthouse https://example.com \View the complete source on GitHubSkills included
- godmode
- a11y
- agent
- analytics
- angular
- api
- apidocs
- architect
- auth
- automate
- backup
- bench
- build
- cache
- changelog
- chaos
- chart
- cicd
- cli
- comply
- concurrent
- config
- cost
- cron
- crypto
- ddd
- debug
- deploy
- designsystem
- devsecops
- distributed
- django
- docker
- docs
- e2e
- edge
- eval
- event
- experiment
- fastapi
- feature
- finish
- fix
- forms
- ghactions
- git
- goal-bridge
- godmode
- graphql
- grpc
- i18n
- incident
- infra
- integration
- k8s
- laravel
- legacy
- lint
- loadtest
- logging
- micro
- migrate
- migration
- ml
- mlops
- mobile
- monorepo
- network
- nextjs
- node
- nosql
- notify
- npm
- observe
- onboard
- opensource
- optimize
- orm
- pattern
- pay
- pentest
- perf
- pipeline
- plan
- postgres
- pr
- predict
- principles
- prompt
- query
- queue
- rag
- rails
- ratelimit
- rbac
- react
- realtime
- redis
- refactor
- reliability
- research
- resilience
- responsive
- review
- rfc
- scale
- scenario
- schema
- search
- secrets
- secure
- seed
- seo
- setup
- ship
- slo
- spring
- state
- stdio
- storage
- svelte
- tailwind
- team
- terse
- test
- think
- tokens
- tutorial
- type
- ui
- upload
- verify
- vue
- webhook
- webperf
Repository facts
- License
- MIT
- Created
- Mar 19, 2026
- Last pushed
- Aug 28, 2026
- Forks
- 8
- Open issues
- 3
- Project activity
- Slowing
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 6, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 380 notes
SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/a11y/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/a11y/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/a11y/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/a11y/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/a11y/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/agent/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/agent/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/analytics/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/analytics/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/angular/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/apidocs/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/apidocs/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/apidocs/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/apidocs/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 102 dangerous shell commandsin 65 files: adapters/pi/models.sh:303 tests/models-routing.sh:17 adapters/amp/README.md:161 and 62 more
- 886 network referencesin 108 files: package-lock.json:18 docs/godmode-design.md:1277 docs/testing/cypress.md:29 and 105 more
- No hidden or obfuscated text
- 1 instruction override signalin 1 file: docs/PHILOSOPHY.md:98
- 177 executable scriptsin 165 files: adapters/pi/models.sh:1 .godmode/measure-quality-v2.sh:1 .godmode/measure-quality-v3.sh:1 and 162 more
- 78 references to secretsin 36 files: secrets/SKILL.md:5 docs/testing/pytest.md:239 auth/references/auth-flows.md:55 and 33 more
- No requests to vote in Hot
Show all 1,244 signals by file
.claude-plugin/marketplace.json
- Access to secretsline 555
[Credential-related source omitted]
.claude-plugin/plugin.json
- Network accessline 6
"name": "arbazkhan971" }, "homepage": "https://github.com/arbazkhan971/godmode", - Network accessline 7
}, "homepage": "https://github.com/arbazkhan971/godmode", "repository": "https://github.com/arbazkhan971/godmode", - Network accessline 8
"homepage": "https://github.com/arbazkhan971/godmode", - Network accessline 9
"repository": "https://github.com/arbazkhan971/godmode",
.gitignore
- Access to secretsline 17
[Credential-related source omitted]
.godmode/measure-quality-v2.sh
- Executable scriptline 1
#!/bin/bash
.godmode/measure-quality-v3.sh
- Executable scriptline 1
#!/bin/bash
.godmode/measure-quality-v4.sh
.godmode/measure-quality.sh
- Executable scriptline 1
#!/bin/bash
CHANGELOG.md
PROGRESS.md
- Network accessline 86
- Council-discovered functional bug fixed: all 4 adapter `verify.sh` scripts + `verify-common.sh` default hard-coded expected skill count 126 and FAILED against the 135-skill corpus (906a0f3, df8e7a0) — invisible to CI until now (issue #8). - Network accessline 87
- Count sweep: 22+ live files 126/134 → 135, incl. root `SKILL.md`, `adapters/cursor/.cursorrules` (+9 missing catalog rows; table now 135/135 verified), adapter install echoes + READMEs, 7 docs pages, opencode plugin.json description (8698 - Network accessline 88
- P5 exit: CHANGELOG 2.0.0 dated 2026-08-27 with [Unreleased] moved to canonical top (45bc44a); blog `docs/blog/godmode-2.0-universal.md` 689 words, all claims evidence-checked, indexed from docs/index.md (265c9d3); all FOUR manifests bumpe - Network accessline 235
- My own gate-fix edit introduced a bash syntax error (quote/paren swap at a construct boundary: `_-'"` instead of `_-')"`) that would have shipped a broken installer; caught by the mandatory post-fix `bash -n` + e2e re-run, then reproduced - Network accessline 236
- Hunk-filtered `git apply --cached` (python hunk-splitter keyed on added-line markers) cleanly separated my README hunks from the sibling's uncommitted demo region — first race-free shared-file commit of this mission. Cheap, deterministic, - Network accessline 237
- Council evidence packs pay for themselves: every Amp fact used by all 8 agents came from one lead-side curl session (2 doc pages); no implementer re-researched, no fabrication crept in. - Access to secretsline 273
[Credential-related source omitted] - Dangerous shell operationline 301
- Gate results: tester **PASS** (all 4 negative-path acceptance criteria of #8 empirically verified in /tmp copies: injected 126 → exit 1 naming claim; broken installer → FAIL names adapter; idempotency ×2; scoped-lint 0 errors); reviewer R - Dangerous shell operationline 316
- Council evidence packs keep paying: the security lens's PREFIX-env-scoping warning (R3) was designed around BEFORE any code existed — S5's smoke passes prefixes positionally with an unset guard, and the destructive-path audit confirmed rm - Network accessline 323
### DONE - M2-P5 exit pushed (commits listed below; CI verified on pushed SHA). GitHub Discussions ENABLED (`gh api -X PATCH -f name=godmode -f has_discussions=true` — the `-f name` guard was a council-predicted 422 fix); thread **#11 "Show - Network accessline 324
- M2-P5 exit pushed (commits listed below; CI verified on pushed SHA). GitHub Discussions ENABLED (`gh api -X PATCH -f name=godmode -f has_discussions=true` — the `-f name` guard was a council-predicted 422 fix); thread **#11 "Show your god - Network accessline 378
### DONE - **B0 exited on disk**: all 30 tasks complete. 28 were finished by the prior (unledgered) iteration with VERIFICATION.tsv evidence; the two gaps — **perf-04** (node, L, config-reparse) and **perf-05** (bash, M, per-line grep sweep - Network accessline 379
- **B0 exited on disk**: all 30 tasks complete. 28 were finished by the prior (unledgered) iteration with VERIFICATION.tsv evidence; the two gaps — **perf-04** (node, L, config-reparse) and **perf-05** (bash, M, per-line grep sweep) — were - Network accessline 380
- **B1 staged**: `bench/run-one.sh` (mktemp workspace, exact copylist, metric.sh sha256 before/after → metric_tampered rows, plain arm `-p -ne -nc -ns` vs godmode arm `--skill <repo>/skills`, both `zai/glm-5`, LEAK_SCAN_HIT/429_hit/timeout - Network accessline 409
- **VERIFIED sweep (deferred B0 tail) — 30/30 PASS** by gate tester: per-task starter-copy metric FAIL + solution-overlay metric PASS in isolated mktemp workspaces; rows appended to all 30 VERIFICATION.tsv. perf-04 inner 0.46s vs 2.5s cap, - Network accessline 410
- **Gate wave (reviewer+security+tester, parallel, glm-5.3)**: tester SWEEP: PASS 30/30; reviewer APPROVE (4 P3s — all closed: lead ran the mechanical diff [model-pin-only hunk confirmed], this ledger section lands with the commit, arm-audi - Network accessline 411
- **Arm audits (iter-1 NEXT item)**: plain arm (−p −ne −nc −ns) listed zero skills (NONE); godmode arm (+ `--skill <repo>/skills`) listed 20+ repo skills. F2-class leak-scan false-positive risk calibrated on pilot: godmode logs show zero hi
README.md
- Network accessline 9
[](LICENSE) - Network accessline 10
[](skills/) - Network accessline 11
[](agents/) - Network accessline 12
[](adapters/) - Network accessline 13
[](adapters/codex/) - Network accessline 14
[](adapters/gemini/) - Network accessline 15
[](adapters/cursor/) - Network accessline 16
[](adapters/opencode/) - Network accessline 17
[](adapters/pi/) - Network accessline 18
[](adapters/amp/) - Network accessline 19
[](docs/blog/godmode-vs-plain-agent-benchmark.md) - Network accessline 32
Real captures from live pi sessions (zai/glm-5.3, recorded with [vhs](https://github.com/charmbracelet/vhs)) — tapes and targets in [demo/](demo/). - Network accessline 350
- **Progressive Disclosure routing** — the orchestrator reads only Tier 1 of each skill file (~20 lines) to match triggers. ~2,700 lines to route vs ~27,000 for full reads. **~90% routing-time context reduction**. - **Stdio input-side compr - Network accessline 351
- **Stdio input-side compression** — [`skills/stdio/SKILL.md`](skills/stdio/) documents 13 canonical command patterns (`git log` → `git log --oneline -20`, `cat` → `wc -l`, `ls -la` → `ls -1`, etc.) every agent prefers. Pairs with [rtk](htt - Network accessline 408
| [`principles`](skills/principles/) | Karpathy authoring-discipline prelude. Four rules every agent reads before the first Edit. Imported via `@./` so every adapter gets it automatically. | | [`terse`](skills/terse/) | Output compression f - Network accessline 409
| [`terse`](skills/terse/) | Output compression for long autonomous loops. Auto-activates from round 2. 40-60% token reduction on emit side. TSVs, code, errors, commits, final summary stay verbose. | | [`stdio`](skills/stdio/) | 13 canonica - Network accessline 410
| [`stdio`](skills/stdio/) | 13 canonical command patterns for minimizing tool-output token waste. Godmode-native alternative/complement to [rtk](https://github.com/rtk-ai/rtk). | - Dangerous shell operationline 413
| [`bench`](skills/bench/) | Formal benchmark harness. 3-arm eval (baseline + variants) with N-run variance recovery. Writes `.godmode/bench-results.tsv`. | - Network accessline 441
> > With an active omp profile, skills load from `~/.omp/profiles/<name>/agent/skills` instead. `PREFIX` is retained for pi-style forks — see [adapters/pi/README.md](adapters/pi/README.md) for the full omp walkthrough. > **Amp:** reads root - Network accessline 443
> **Amp:** reads root `AGENTS.md` and the `.agents/skills/` project skills directory natively ([docs](https://ampcode.com/docs/customize/skills)); the adapter wires godmode's skills there. Subagents and model routing are Amp's own — the ada - Network accessline 571
Yes. Once you set a goal and a metric (e.g., "reduce API latency, measured by `curl -w '%{time_total}'`"), Godmode runs the optimization loop autonomously — modifying code, verifying results, keeping improvements, reverting failures — witho - Network accessline 597
1. **Progressive Disclosure** — the orchestrator reads only Tier 1 (~20 lines) of each skill when routing. ~2,700 lines to route vs ~27,000 for full reads. ~90% routing-time context reduction. 2. **Stdio input-side compression** — 13 canoni - Network accessline 598
2. **Stdio input-side compression** — 13 canonical command patterns (`git log --oneline -20` instead of `git log`, `wc -l` instead of `cat`, etc.). Godmode's native convention; pairs with [rtk](https://github.com/rtk-ai/rtk) for shell-hook - Network accessline 615
Wins, questions, and failure stories are welcome in [Discussions](https://github.com/arbazkhan971/godmode/discussions). Share what godmode kept — or reverted — for you. - Network accessline 617
<p align="center"><a href="https://star-history.com/#arbazkhan971/godmode&Date"><img alt="Star History Chart" src="https://api.star-history.com/svg?repos=arbazkhan971/godmode&type=Date"></a></p> - Network accessline 631
**[Install](#quick-start)** | **[Docs](docs/)** | **[FAQ](docs/FAQ.md)** | **[Troubleshooting](docs/troubleshooting.md)** | **[Discuss](https://github.com/arbazkhan971/godmode/discussions)**
adapters/amp/README.md
- Network accessline 14
git clone https://github.com/arbazkhan971/godmode.git - Network accessline 50
Amp loads `AGENTS.md` natively — no adapter glue required. Per [Amp's AGENTS.md documentation](https://ampcode.com/docs/customize/agents-md), it reads the file from: - Network accessline 62
Amp loads project skills from `.agents/skills/`, committed with the project. Per [Amp's skills documentation](https://ampcode.com/docs/customize/skills): - Dangerous shell operationline 161
rm skills agents .agents/skills - Dangerous shell operationline 180
rm -rf .agents/skills.real - Dangerous shell operationline 182
rm .agents/skills
adapters/amp/amp-config.md
- Network accessline 14
Per [Amp's AGENTS.md documentation](https://ampcode.com/docs/customize/agents-md), Amp reads `AGENTS.md` natively from the current working directory, every parent directory up to `$HOME`, and subtrees. Two global files are always included: - Network accessline 61
Project skills live in `.agents/skills/`, committed with the project. Per [Amp's skills documentation](https://ampcode.com/docs/customize/skills), each skill directory holds a `SKILL.md`, and the directory name must equal the frontmatter `n
adapters/amp/install.sh
adapters/amp/verify.sh
- Executable scriptline 1
#!/usr/bin/env bash
adapters/codex/README.md
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git clone https://github.com/arbazkhan971/godmode.git
adapters/codex/install.sh
- Executable scriptline 1
#!/usr/bin/env bash
adapters/codex/verify.sh
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#!/usr/bin/env bash
adapters/cursor/install.sh
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#!/usr/bin/env bash
adapters/cursor/verify.sh
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#!/usr/bin/env bash
adapters/gemini/install.sh
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#!/usr/bin/env bash
adapters/gemini/verify.sh
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#!/usr/bin/env bash
adapters/opencode/README.md
- Network accessline 14
git clone https://github.com/arbazkhan971/godmode.git
adapters/opencode/install.sh
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#!/usr/bin/env bash
adapters/opencode/plugin.json
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"description": "Turn on Godmode for OpenCode. 135 skills. 9 subagents. Zero configuration.", "author": "arbazkhan971", "homepage": "https://github.com/arbazkhan971/godmode", - Network accessline 5
"author": "arbazkhan971", "homepage": "https://github.com/arbazkhan971/godmode", "repository": "https://github.com/arbazkhan971/godmode.git", - Network accessline 6
"homepage": "https://github.com/arbazkhan971/godmode", - Network accessline 7
"repository": "https://github.com/arbazkhan971/godmode.git",
adapters/opencode/verify.sh
- Executable scriptline 1
#!/usr/bin/env bash
adapters/pi/README.md
- Network accessline 5
This adapter installs all godmode skills into the [pi](https://github.com/badlogic/pi-mono) agent CLI's global skills directory. Skills placed there auto-load at the start of every pi session — no per-project setup, no config files, no syml - Network accessline 12
git clone https://github.com/arbazkhan971/godmode.git - Network accessline 54
- **One location only:** omp also discovers user- and project-level `.agent[s]/skills` by default (agents provider; `~/.agents/skills` verified on omp v18.0.8). Install godmode for omp in exactly one location; generic skill names (`test`, ` - Dangerous shell operationline 56
- **Name-squat warning:** the npm package `oh-my-pi` (v0.2.0, `acidsugarx`) is unrelated. Official omp channels: `curl -fsSL https://omp.sh/install | sh`, `brew install can1357/tap/omp`, `bun install -g @oh-my-pi/pi-coding-agent`, GitHub re - Network accessline 56
- **Name-squat warning:** the npm package `oh-my-pi` (v0.2.0, `acidsugarx`) is unrelated. Official omp channels: `curl -fsSL https://omp.sh/install | sh`, `brew install can1357/tap/omp`, `bun install -g @oh-my-pi/pi-coding-agent`, GitHub re - Dangerous shell operationline 58
Uninstall: `rm -rf ~/.omp/agent/skills/godmode` and remove the `customDirectories` entry from `~/.omp/agent/config.yml`. - Dangerous shell operationline 119
rm -rf ~/.pi/agent/skills/godmode
adapters/pi/install.sh
adapters/pi/models.sh
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#!/usr/bin/env bash - Executable scriptline 1
#!/usr/bin/env bash - Executable scriptline 1
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trap 'rm -rf "$sandbox"' EXIT - Dangerous shell operationline 303
trap 'rm -rf "$sandbox"' EXIT - Dangerous shell operationline 303
trap 'rm -rf "$sandbox"' EXIT - Dangerous shell operationline 379
printf '{"roles":{"build":"x; rm -rf /"}}' >"$repo/godmode.models.json" - Dangerous shell operationline 379
printf '{"roles":{"build":"x; rm -rf /"}}' >"$repo/godmode.models.json" - Dangerous shell operationline 379
printf '{"roles":{"build":"x; rm -rf /"}}' >"$repo/godmode.models.json" - Dangerous shell operationline 385
rm -f "$repo/godmode.models.json" - Dangerous shell operationline 385
rm -f "$repo/godmode.models.json" - Dangerous shell operationline 385
rm -f "$repo/godmode.models.json" - Dangerous shell operationline 412
rm -f "$repo/godmode.models.json" "$home/.config/godmode/models.json" - Dangerous shell operationline 412
rm -f "$repo/godmode.models.json" "$home/.config/godmode/models.json" - Dangerous shell operationline 412
rm -f "$repo/godmode.models.json" "$home/.config/godmode/models.json" - Dangerous shell operationline 421
rm -f "$repo/godmode.models.json" "$home/.config/godmode/models.json" - Dangerous shell operationline 421
rm -f "$repo/godmode.models.json" "$home/.config/godmode/models.json" - Dangerous shell operationline 421
rm -f "$repo/godmode.models.json" "$home/.config/godmode/models.json" - Dangerous shell operationline 425
rm -f "$repo/godmode.models.json" - Dangerous shell operationline 425
rm -f "$repo/godmode.models.json" - Dangerous shell operationline 425
rm -f "$repo/godmode.models.json"
adapters/pi/verify.sh
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#!/usr/bin/env bash
adapters/shared/verify-common.sh
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#!/usr/bin/env bash
bench/analyze.py
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#!/usr/bin/env python3
bench/run-farm.sh
bench/run-one.sh
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#!/usr/bin/env bash - Dangerous shell operationline 46
trap 'rm -rf "$WS"' EXIT - Network accessline 104
( cd -- "$WS" || exit 125 exec timeout "${GM_RUN_TIMEOUT:-600}" pi -p -ne -nc -ns --mode text --no-session \ - Network accessline 105
cd -- "$WS" || exit 125 exec timeout "${GM_RUN_TIMEOUT:-600}" pi -p -ne -nc -ns --mode text --no-session \ --provider zai --model "$MODEL" --skill "$ROOT/skills" -n "$NAME" "$PROMPT" - Network accessline 106
exec timeout "${GM_RUN_TIMEOUT:-600}" pi -p -ne -nc -ns --mode text --no-session \ - Network accessline 110
( cd -- "$WS" || exit 125 exec timeout "${GM_RUN_TIMEOUT:-600}" pi -p -ne -nc -ns --mode text --no-session \ - Network accessline 111
cd -- "$WS" || exit 125 exec timeout "${GM_RUN_TIMEOUT:-600}" pi -p -ne -nc -ns --mode text --no-session \ --provider zai --model "$MODEL" -n "$NAME" "$PROMPT" - Network accessline 112
exec timeout "${GM_RUN_TIMEOUT:-600}" pi -p -ne -nc -ns --mode text --no-session \
bench/tasks/bug-01/metric.sh
bench/tasks/bug-01/solution/loglib.py
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bench/tasks/bug-01/starter/loglib.py
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bench/tasks/bug-01/starter/main.py
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#!/usr/bin/env python3
bench/tasks/bug-02/metric.sh
bench/tasks/bug-02/solution/orderkit.py
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bench/tasks/bug-02/starter/main.py
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#!/usr/bin/env python3
bench/tasks/bug-02/starter/orderkit.py
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bench/tasks/bug-03/metric.sh
bench/tasks/bug-03/solution/board.js
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bench/tasks/bug-03/starter/board.js
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bench/tasks/bug-03/starter/index.js
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bench/tasks/bug-04/metric.sh
bench/tasks/bug-04/solution/index.js
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bench/tasks/bug-04/starter/uploader.js
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bench/tasks/bug-05/metric.sh
bench/tasks/bug-05/solution/main.sh
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bench/tasks/bug-05/starter/main.sh
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#!/usr/bin/env bash
bench/tasks/feat-01/metric.sh
bench/tasks/feat-01/solution/main.py
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#!/usr/bin/env python3
bench/tasks/feat-01/solution/shelf.py
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bench/tasks/feat-01/starter/main.py
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#!/usr/bin/env python3
bench/tasks/feat-01/starter/shelf.py
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bench/tasks/feat-02/metric.sh
bench/tasks/feat-02/solution/main.py
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#!/usr/bin/env python3
bench/tasks/feat-02/starter/catalog.py
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bench/tasks/feat-02/starter/main.py
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#!/usr/bin/env python3
bench/tasks/feat-03/metric.sh
bench/tasks/feat-03/solution/index.js
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#!/usr/bin/env node
bench/tasks/feat-03/starter/contacts.js
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bench/tasks/feat-03/starter/index.js
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bench/tasks/feat-04/metric.sh
bench/tasks/feat-04/solution/index.js
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bench/tasks/feat-04/solution/tags.js
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bench/tasks/feat-04/starter/index.js
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bench/tasks/feat-04/starter/tags.js
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bench/tasks/feat-05/SOLUTION.md
- Dangerous shell operationline 2
Fix: main.sh peels --dry-run into dry=1 before positional validation; loop prints "would delete <name>" and skips rm when dry; dry runs exit 3 instead of 0; scan and match order untouched.
bench/tasks/feat-05/metric.sh
bench/tasks/feat-05/solution/main.sh
bench/tasks/feat-05/starter/main.sh
bench/tasks/perf-01/metric.sh
bench/tasks/perf-01/solution/main.py
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#!/usr/bin/env python3
bench/tasks/perf-01/starter/main.py
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#!/usr/bin/env python3
bench/tasks/perf-01/starter/wfreq_io.py
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bench/tasks/perf-02/metric.sh
bench/tasks/perf-02/solution/main.py
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#!/usr/bin/env python3
bench/tasks/perf-02/starter/main.py
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#!/usr/bin/env python3
bench/tasks/perf-02/starter/recordfile.py
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bench/tasks/perf-03/metric.sh
bench/tasks/perf-03/solution/index.js
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bench/tasks/perf-03/starter/index.js
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bench/tasks/perf-03/starter/tagslib.js
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bench/tasks/perf-05/solution/lib/audit.sh
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bench/tasks/perf-05/starter/lib/audit.sh
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bench/tasks/perf-05/starter/main.sh
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#!/usr/bin/env bash
bench/tasks/refac-01/metric.sh
bench/tasks/refac-01/solution/members.py
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bench/tasks/refac-01/starter/main.py
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bench/tasks/refac-01/starter/members.py
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bench/tasks/refac-02/metric.sh
bench/tasks/refac-02/solution/main.py
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bench/tasks/refac-02/starter/ledger.py
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bench/tasks/refac-02/starter/main.py
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bench/tasks/refac-03/metric.sh
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bench/tasks/refac-04/metric.sh
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bench/tasks/refac-04/starter/index.js
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#!/usr/bin/env node
bench/tasks/refac-04/starter/render.js
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bench/tasks/refac-04/starter/textproc.js
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bench/tasks/refac-05/metric.sh
bench/tasks/refac-05/solution/main.sh
- Executable scriptline 1
#!/usr/bin/env bash
bench/tasks/refac-05/starter/main.sh
- Executable scriptline 1
#!/usr/bin/env bash
bench/tasks/sec-01/metric.sh
bench/tasks/sec-01/solution/fsutil.py
- Executable scriptline 1
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bench/tasks/sec-01/starter/fsutil.py
- Executable scriptline 1
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bench/tasks/sec-01/starter/main.py
- Executable scriptline 1
#!/usr/bin/env python3
bench/tasks/sec-02/metric.sh
bench/tasks/sec-02/solution/thumbs.py
- Executable scriptline 1
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bench/tasks/sec-02/starter/main.py
- Executable scriptline 1
#!/usr/bin/env python3
bench/tasks/sec-02/starter/thumbs.py
- Executable scriptline 1
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bench/tasks/sec-03/metric.sh
bench/tasks/sec-03/solution/skulib.js
- Executable scriptline 1
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bench/tasks/sec-03/starter/index.js
- Executable scriptline 1
#!/usr/bin/env node
bench/tasks/sec-03/starter/skulib.js
- Executable scriptline 1
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bench/tasks/sec-04/metric.sh
bench/tasks/sec-04/solution/tmpl.js
- Executable scriptline 1
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bench/tasks/sec-04/starter/index.js
- Executable scriptline 1
#!/usr/bin/env node
bench/tasks/sec-04/starter/tmpl.js
- Executable scriptline 1
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bench/tasks/sec-05/metric.sh
bench/tasks/sec-05/solution/main.sh
- Executable scriptline 1
#!/usr/bin/env bash
bench/tasks/sec-05/starter/main.sh
bench/tasks/test-01/VERIFICATION.tsv
- Dangerous shell operationline 6
test-01 srcless-fix VERIFIED 2026-08-28 F1 fix: case dirs sourceless (py_compile cfile csvrows.pyc, rm csvrows.py pre-run): /tmp checks starter rc=1, solution rc=0 METRIC: PASS test-01, cheat-open-source rc=1, behavior-control pristine pass
bench/tasks/test-01/metric.sh
bench/tasks/test-01/solution/tests/test_csvrows.py
- Executable scriptline 1
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bench/tasks/test-01/starter/csvrows.py
- Executable scriptline 1
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bench/tasks/test-01/starter/main.py
- Executable scriptline 1
#!/usr/bin/env python3
bench/tasks/test-02/metric.sh
bench/tasks/test-02/solution/tests/test_daterange.py
- Executable scriptline 1
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bench/tasks/test-02/starter/daterange.py
- Executable scriptline 1
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bench/tasks/test-02/starter/main.py
- Executable scriptline 1
#!/usr/bin/env python3
bench/tasks/test-03/metric.sh
bench/tasks/test-03/solution/tests/markup_test.js
- Executable scriptline 1
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bench/tasks/test-03/starter/index.js
- Executable scriptline 1
#!/usr/bin/env node
bench/tasks/test-03/starter/markup.js
- Executable scriptline 1
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bench/tasks/test-04/metric.sh
bench/tasks/test-04/solution/tests/deque_test.js
- Executable scriptline 1
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bench/tasks/test-04/starter/deque.js
- Executable scriptline 1
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bench/tasks/test-04/starter/index.js
- Executable scriptline 1
#!/usr/bin/env node
bench/tasks/test-05/metric.sh
bench/tasks/test-05/solution/tests/run_tests.sh
bench/tasks/test-05/starter/main.sh
- Executable scriptline 1
#!/usr/bin/env bash
commands/godmode/cli.md
- Access to secretsline 33
[Credential-related source omitted]
commands/godmode/eval.md
commands/godmode/optimize.md
- Network accessline 8
/godmode:optimize # Interactive setup, then autonomous loop /godmode:optimize --goal "reduce response time" # Set goal directly /godmode:optimize --verify "curl timing command" # Set verify comman - Network accessline 9
/godmode:optimize --goal "reduce response time" # Set goal directly /godmode:optimize --verify "curl timing command" # Set verify command /godmode:optimize --target "< 200" # Set target - Network accessline 10
/godmode:optimize --verify "curl timing command" # Set verify command
commands/godmode/secrets.md
demo/README.md
- Network accessline 3
Three [vhs](https://github.com/charmbracelet/vhs) tapes that capture real `pi`
demo/render.sh
- Executable scriptline 1
#!/usr/bin/env bash
demo/tapes/goal-bridge.tape
- Dangerous shell operationline 15
Type "rm -rf /tmp/godmode-demo-goalbridge && mkdir -p /tmp/godmode-demo-goalbridge && cd /tmp/godmode-demo-goalbridge"
demo/tapes/optimize-loop.tape
- Dangerous shell operationline 16
Type "rm -rf /tmp/godmode-demo-optimize && mkdir -p /tmp/godmode-demo-optimize && cd /tmp/godmode-demo-optimize"
demo/targets/goal-bridge/counter.py
- Executable scriptline 1
Executable file
demo/targets/goal-bridge/test_counter.py
- Executable scriptline 1
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demo/targets/optimize/metric.sh
- Executable scriptline 1
#!/usr/bin/env bash
demo/targets/optimize/slow_fib.py
- Executable scriptline 1
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demo/targets/optimize/test_slow_fib.py
- Executable scriptline 1
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docs/COMPLETE-SKILL-LIST.md
docs/FAQ.md
- Network accessline 142
You define the metric. Examples: - Response time: `curl -w '%{time_total}' http://localhost:3000/api/products` - Network accessline 143
- Response time: `curl -w '%{time_total}' http://localhost:3000/api/products` - Dangerous shell operationline 293
rm -rf .godmode/ - Network accessline 349
Open an issue with the `question` label on the [Godmode repository](https://github.com/godmode-team/godmode/issues) and we will answer it and add it to this FAQ.
docs/PHILOSOPHY.md
- Instruction override signalline 98
Godmode runs autonomously. It makes decisions, writes code, runs commands, and iterates without asking for permission at every step. But it does so within guardrails:
docs/SECURITY.md
- Network accessline 252
- **Security reports:** security@godmode.dev - **General questions:** Open an issue with the `question` label - **Discussions:** [GitHub Discussions](https://github.com/godmode-team/godmode/discussions) - Network accessline 254
- **Discussions:** [GitHub Discussions](https://github.com/godmode-team/godmode/discussions)
docs/architecture.md
- Network accessline 216
goal: "response time" # Used by: optimize metric: "ms" # Used by: optimize verify: "curl ..." # Used by: optimize, verify - Network accessline 217
metric: "ms" # Used by: optimize verify: "curl ..." # Used by: optimize, verify target: "< 200" # Used by: optimize - Network accessline 218
verify: "curl ..." # Used by: optimize, verify
docs/blog/godmode-meets-autoresearch.md
- Network accessline 3
> How we took the autonomous optimization loop from [Karpathy's autoresearch](https://github.com/karpathy/autoresearch) and generalized it to 126 software engineering skills across 5 platforms. - Network accessline 9
In early 2025, Andrej Karpathy released [autoresearch](https://github.com/karpathy/autoresearch) -- a deceptively simple system that let an AI agent optimize a neural network training script overnight, unsupervised. The agent would modify ` - Network accessline 154
Autoresearch runs on one machine with one tool. Godmode adapts to 5 platforms -- [Claude Code](https://github.com/arbazkhan971/godmode), Gemini CLI, Codex, Cursor, and OpenCode -- through platform adapters. The same skills, the same autores - Network accessline 249
- [Karpathy's autoresearch repository](https://github.com/karpathy/autoresearch) -- the original system that inspired Godmode - Network accessline 252
- [SKILL.md (Universal Protocol)](../../SKILL.md) -- the root protocol that governs all 126 skills - [Getting Started](../getting-started.md) -- installation and first-run walkthrough - [GitHub Repository](https://github.com/arbazkhan971/go - Network accessline 254
- [GitHub Repository](https://github.com/arbazkhan971/godmode) -- source code, all 126 skills, all 7 agents
docs/ci-cd.md
- Network accessline 103
run: | for i in {1..30}; do curl -s http://localhost:3000/health && break - Network accessline 104
for i in {1..30}; do curl -s http://localhost:3000/health && break sleep 1 - Network accessline 105
curl -s http://localhost:3000/health && break - Network accessline 109
- name: Benchmark run: | RESULT=$(curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/api/products) - Network accessline 110
run: | RESULT=$(curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/api/products) RESULT_MS=$(echo "$RESULT * 1000" | bc | cut -d. -f1) - Network accessline 111
RESULT=$(curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/api/products)
docs/domain-guide.md
- Network accessline 12
# Test: npm test / pytest / go test ./... # Lint: eslint / ruff / golangci-lint # Verify: curl timing or custom benchmark - Network accessline 14
# Verify: curl timing or custom benchmark - Network accessline 25
| Target | Verify Cmd | |--|--| | Response time | `curl -s -o /dev/null -w '%{time_total}' <url>` | - Network accessline 26
|--|--| | Response time | `curl -s -o /dev/null -w '%{time_total}' <url>` | | Throughput | `wrk -t4 -c100 -d10s <url> \| grep 'Requests/sec'` | - Network accessline 27
| Response time | `curl -s -o /dev/null -w '%{time_total}' <url>` |
docs/examples/api-feature.md
- Network accessline 106
> /godmode:optimize --goal "search response time" \ --verify "curl -s -o /dev/null -w '%{time_total}' 'http://localhost:3000/api/products/search?q=test'" \ - Network accessline 107
--verify "curl -s -o /dev/null -w '%{time_total}' 'http://localhost:3000/api/products/search?q=test'" \
docs/examples/optimization.md
- Network accessline 15
> /godmode:optimize --goal "reduce /api/articles response time" --verify "curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/articles?limit=50 | awk '{printf \"%.0f\", \$1*1000}'" - Network accessline 17
--verify "curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/articles?limit=50 | awk '{printf \"%.0f\", \$1*1000}'" \
docs/godmode-design.md
- Network accessline 1277
User: /godmode:optimize --metric "p95 response time" \ --verify "wrk -t4 -c100 -d10s http://localhost:3000/api | grep 'Latency.*99%'" \ - Network accessline 1278
--verify "wrk -t4 -c100 -d10s http://localhost:3000/api | grep 'Latency.*99%'" \ - Dangerous shell operationline 1579
| A03 | Injection | SQL string concatenation, unsanitized user input, eval() | - Network accessline 1965
- Examples: - `npm test 2>&1 | grep 'passing' | awk '{print $1}'` → test count - `wrk -t4 -c100 -d10s http://localhost:3000 | grep Latency` → response time - Network accessline 1966
- `npm test 2>&1 | grep 'passing' | awk '{print $1}'` → test count - `wrk -t4 -c100 -d10s http://localhost:3000 | grep Latency` → response time - `wc -l src/**/*.ts | tail -1 | awk '{print $1}'` → lines of code - Network accessline 1967
- `wrk -t4 -c100 -d10s http://localhost:3000 | grep Latency` → response time - Network accessline 2002
"metric": { "name": "p95 response time", "command": "wrk -t4 -c100 -d10s http://localhost:3000/api | grep '99%'", - Network accessline 2003
"name": "p95 response time", "command": "wrk -t4 -c100 -d10s http://localhost:3000/api | grep '99%'", "baseline": "340ms", - Network accessline 2004
"command": "wrk -t4 -c100 -d10s http://localhost:3000/api | grep '99%'", - Network accessline 2356
{ "name": "p95 response time", "command": "wrk -t4 -c100 -d5s http://localhost:3000/api | grep '99%' | awk '{print $2}'", - Network accessline 2357
"name": "p95 response time", "command": "wrk -t4 -c100 -d5s http://localhost:3000/api | grep '99%' | awk '{print $2}'", "parse": "duration_ms", - Network accessline 2358
"command": "wrk -t4 -c100 -d5s http://localhost:3000/api | grep '99%' | awk '{print $2}'", - Network accessline 2811
# Agent opens the companion open http://localhost:9876/companion.html - Network accessline 2812
open http://localhost:9876/companion.html - Network accessline 3000
Phase: OPTIMIZE (iteration 7) Error: Metric command timeout after 120s Command: wrk -t4 -c100 -d10s http://localhost:3000/api - Network accessline 3002
Command: wrk -t4 -c100 -d10s http://localhost:3000/api - Network accessline 3253
# Clone into the Claude Code skills directory git clone https://github.com/godmode-ai/godmode.git ~/.claude/skills/godmode - Network accessline 3254
git clone https://github.com/godmode-ai/godmode.git ~/.claude/skills/godmode - Network accessline 3256
# Or for project-local installation git clone https://github.com/godmode-ai/godmode.git .claude/skills/godmode - Network accessline 3257
git clone https://github.com/godmode-ai/godmode.git .claude/skills/godmode - Dangerous shell operationline 3319
rm -rf .godmode/ - Network accessline 3525
{ "$schema": "https://godmode.dev/schema/settings.v1.json", - Network accessline 3526
"$schema": "https://godmode.dev/schema/settings.v1.json", - Access to secretsline 3544
[Credential-related source omitted] - Network accessline 3548
"metric": { "name": "p95 response time", "command": "wrk -t4 -c100 -d5s http://localhost:3000/api | grep '99%' | awk '{print $2}'", - Network accessline 3549
"name": "p95 response time", "command": "wrk -t4 -c100 -d5s http://localhost:3000/api | grep '99%' | awk '{print $2}'", "parse": "duration_ms", - Network accessline 3550
"command": "wrk -t4 -c100 -d5s http://localhost:3000/api | grep '99%' | awk '{print $2}'", - Network accessline 3619
"shipping": { "type": "npm", "registry": "https://registry.npmjs.org/", - Network accessline 3620
"type": "npm", "registry": "https://registry.npmjs.org/", "dry_run_first": true, - Network accessline 3621
"registry": "https://registry.npmjs.org/", - Access to secretsline 3671
[Credential-related source omitted] - Network accessline 3777
Godmode combines the best ideas from: - [autoresearch](https://github.com/uditgoenka/autoresearch) — Autonomous iteration loops - Network accessline 3778
- [autoresearch](https://github.com/uditgoenka/autoresearch) — Autonomous iteration loops - Network accessline 3779
- [superpowers](https://github.com/obra/superpowers) — Structured development workflows - Network accessline 3794
Godmode follows [Semantic Versioning](https://semver.org/): - Network accessline 3807
All notable changes to Godmode are documented in this file. Format based on [Keep a Changelog](https://keepachangelog.com/). - Network accessline 3808
Format based on [Keep a Changelog](https://keepachangelog.com/). - Network accessline 4164
"metric": { "name": "p95 response time", "command": "wrk -t4 -c100 -d5s http://localhost:3000/api | grep '99%'", - Network accessline 4165
"name": "p95 response time", "command": "wrk -t4 -c100 -d5s http://localhost:3000/api | grep '99%'", "direction": "lower_is_better" - Network accessline 4166
"command": "wrk -t4 -c100 -d5s http://localhost:3000/api | grep '99%'", - Network accessline 4187
"metric": { "name": "Lighthouse performance score", "command": "npx lighthouse http://localhost:3000 --output json --quiet | jq '.categories.performance.score'", - Network accessline 4188
"name": "Lighthouse performance score", "command": "npx lighthouse http://localhost:3000 --output json --quiet | jq '.categories.performance.score'", "direction": "higher_is_better" - Network accessline 4189
"command": "npx lighthouse http://localhost:3000 --output json --quiet | jq '.categories.performance.score'", - Network accessline 5135
"author": { "name": "Godmode AI", "url": "https://github.com/godmode-ai/godmode", - Network accessline 5136
"name": "Godmode AI", "url": "https://github.com/godmode-ai/godmode", "email": "hello@godmode.dev" - Network accessline 5137
"url": "https://github.com/godmode-ai/godmode", - Network accessline 5139
}, "license": "MIT", "repository": "https://github.com/godmode-ai/godmode", - Network accessline 5140
"license": "MIT", "repository": "https://github.com/godmode-ai/godmode", "homepage": "https://godmode.dev", - Network accessline 5141
"repository": "https://github.com/godmode-ai/godmode", - Network accessline 5142
"homepage": "https://godmode.dev", - Network accessline 5211
"maturity": "stable", "support": { "issues": "https://github.com/godmode-ai/godmode/issues", - Network accessline 5212
"support": { "issues": "https://github.com/godmode-ai/godmode/issues", "discussions": "https://github.com/godmode-ai/godmode/discussions", - Network accessline 5213
"issues": "https://github.com/godmode-ai/godmode/issues", - Network accessline 5214
"discussions": "https://github.com/godmode-ai/godmode/discussions", - Network accessline 5215
"docs": "https://godmode.dev/docs" - Network accessline 5681
**Autoresearch** by Udit Goenka - Repository: https://github.com/uditgoenka/autoresearch - Network accessline 5682
- Repository: https://github.com/uditgoenka/autoresearch - Network accessline 5687
**Superpowers** by Jesse Vincent (obra) - Repository: https://github.com/obra/superpowers - Network accessline 5688
- Repository: https://github.com/obra/superpowers - Network accessline 5698
This project uses Godmode (https://github.com/godmode-ai/godmode), - Access to secretsline 5905
[Credential-related source omitted] - Access to secretsline 6443
[Credential-related source omitted]
docs/index.md
- Network accessline 3
Autonomous AI coding skills inspired by [Karpathy's autoresearch](https://github.com/karpathy/autoresearch). 135 skills, 7 subagents, 7 platforms. - Network accessline 105
- [Submission Queue](marketing/submission-queue.md) — Listing-target research queue: 16 targets with per-target status (4 PR_OPEN, 4 NEEDS_HUMAN, 8 SKIP) and protocol - [Drafts](marketing/drafts/) — Paste-ready NEEDS_HUMAN entries plus laun - Network accessline 107
- [Discussions](https://github.com/arbazkhan971/godmode/discussions) — Social-proof surface: Discussions tab live, plus README hero demo GIF and star-history chart
docs/languages/csharp.md
- Network accessline 24
format_command: dotnet format build_command: dotnet build --no-restore verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:5000/health - Network accessline 26
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:5000/health - Network accessline 77
| Package vulnerabilities | `dotnet list package --vulnerable 2>&1 \| grep -c 'has the following'` | 0 | | Published size | `du -m bin/Release/net9.0/publish/ \| tail -1 \| cut -f1` | Project-specific | | Startup time | `dotnet run & sleep - Network accessline 79
| Startup time | `dotnet run & sleep 2 && curl -s -o /dev/null -w '%{time_total}' http://localhost:5000/health` | < 2s | - Network accessline 112
curl -s -o /dev/null -w '%{time_total}' http://localhost:5000/health - Network accessline 256
lint_command: dotnet format --verify-no-changes build_command: dotnet build --no-restore verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:5000/health - Network accessline 258
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:5000/health - Network accessline 305
lint_command: dotnet format --verify-no-changes build_command: dotnet build --no-restore verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:5000 - Network accessline 307
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:5000 - Network accessline 520
/godmode:optimize --goal "reduce product list query time" \ --verify "curl -s -o /dev/null -w '%{time_total}' http://localhost:5000/api/products" \ - Network accessline 521
--verify "curl -s -o /dev/null -w '%{time_total}' http://localhost:5000/api/products" \
docs/languages/elixir.md
- Network accessline 24
format_command: mix format --check-formatted build_command: mix compile --warnings-as-errors verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:4000/api/health - Network accessline 26
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:4000/api/health - Network accessline 77
| Test coverage | `mix test --cover 2>&1 \| grep 'Total'` | >= 85% | | Dependency vulnerabilities | `mix deps.audit 2>&1 \| tail -1` | 0 | | Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:4000/api/health` | < 0.01 - Network accessline 79
| Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:4000/api/health` | < 0.01s | - Network accessline 118
curl -s -o /dev/null -w '%{time_total}' http://localhost:4000/api/health - Network accessline 435
lint_command: mix credo --strict && mix dialyzer build_command: mix compile --warnings-as-errors && mix assets.deploy verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:4000 - Network accessline 437
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:4000 - Network accessline 537
lint_command: mix credo --strict && mix dialyzer build_command: mix compile --warnings-as-errors verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:4000/api/health - Network accessline 539
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:4000/api/health - Network accessline 767
/godmode:optimize --goal "reduce notification delivery latency" \ --verify "curl -s -o /dev/null -w '%{time_total}' -X POST http://localhost:4000/api/notifications -H 'Content-Type: application/json' -d '{\"recipient_id\":\"user-1\",\"cha - Network accessline 768
--verify "curl -s -o /dev/null -w '%{time_total}' -X POST http://localhost:4000/api/notifications -H 'Content-Type: application/json' -d '{\"recipient_id\":\"user-1\",\"channel\":\"email\",\"subject\":\"test\",\"body\":\"test\"}'" \
docs/languages/go.md
docs/languages/java.md
- Network accessline 22
lint_command: mvn checkstyle:check -q build_command: mvn package -DskipTests -q verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/actuator/health - Network accessline 24
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/actuator/health - Network accessline 32
lint_command: gradle ktlintCheck build_command: gradle build -x test --quiet verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/health - Network accessline 34
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/health - Network accessline 82
| Build time | `/usr/bin/time mvn package -DskipTests -q 2>&1 \| grep real` | Project-specific | | Startup time | `timeout 30 java -jar target/*.jar 2>&1 \| grep 'Started.*in' \| awk '{print $(NF-1)}'` | < 5s | | Response time | `curl -s -o - Network accessline 83
| Startup time | `timeout 30 java -jar target/*.jar 2>&1 \| grep 'Started.*in' \| awk '{print $(NF-1)}'` | < 5s | | Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/api/health` | < 0.05s | | JAR size | `du -b t - Network accessline 84
| Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/api/health` | < 0.05s | - Network accessline 133
java -jar target/*.jar & sleep 5 curl -s http://localhost:8080/actuator/health - Network accessline 134
sleep 5 curl -s http://localhost:8080/actuator/health kill %1 - Network accessline 135
curl -s http://localhost:8080/actuator/health - Network accessline 263
lint_command: mvn checkstyle:check -q build_command: mvn package -DskipTests -q verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/actuator/health - Network accessline 265
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/actuator/health - Network accessline 281
# Actuator metrics endpoint curl -s http://localhost:8080/actuator/metrics/http.server.requests | jq '.measurements[] | select(.statistic=="TOTAL_TIME") | .value' - Network accessline 282
curl -s http://localhost:8080/actuator/metrics/http.server.requests | jq '.measurements[] | select(.statistic=="TOTAL_TIME") | .value' - Network accessline 284
# Database query count # Enable spring.jpa.properties.hibernate.generate_statistics=true curl -s http://localhost:8080/actuator/metrics/hibernate.query.executions | jq '.measurements[0].value' - Network accessline 286
curl -s http://localhost:8080/actuator/metrics/hibernate.query.executions | jq '.measurements[0].value' - Network accessline 319
test_command: mvn test -q build_command: mvn package -DskipTests -Dnative -q # native image verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/q/health - Network accessline 321
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/q/health - Network accessline 337
lint_command: gradle ktlintCheck build_command: gradle build -x test --quiet verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/health - Network accessline 339
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/health - Network accessline 488
/godmode:optimize --goal "reduce order creation latency" \ --verify "curl -s -o /dev/null -w '%{time_total}' -X POST http://localhost:8080/api/orders -H 'Content-Type: application/json' -d '{\"items\":[{\"productId\":\"PROD-1\",\"quantity - Network accessline 489
--verify "curl -s -o /dev/null -w '%{time_total}' -X POST http://localhost:8080/api/orders -H 'Content-Type: application/json' -d '{\"items\":[{\"productId\":\"PROD-1\",\"quantity\":1}]}'" \
docs/languages/php.md
- Network accessline 23
format_command: ./vendor/bin/pint build_command: composer install --no-dev --optimize-autoloader verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/health - Network accessline 25
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/health - Network accessline 74
| Test coverage | `php artisan test --coverage --min=80 2>&1 \| grep 'Total'` | >= 80% | | Dependency vulnerabilities | `composer audit 2>&1 \| grep 'Found'` | 0 | | Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost: - Network accessline 75
| Dependency vulnerabilities | `composer audit 2>&1 \| grep 'Found'` | 0 | | Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/health` | < 0.05s | | Query count per request | Laravel Debugbar or Telescope | - Network accessline 76
| Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/health` | < 0.05s | - Network accessline 118
curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/health - Network accessline 306
lint_command: ./vendor/bin/pint --test && ./vendor/bin/phpstan analyse --level=max build_command: composer install --no-dev --optimize-autoloader verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/health - Network accessline 308
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/health - Network accessline 575
/godmode:optimize --goal "reduce product listing response time" \ --verify "curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/products" \ - Network accessline 576
--verify "curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/products" \
docs/languages/python.md
- Network accessline 25
type_check_command: mypy . --ignore-missing-imports build_command: python -m build verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/health - Network accessline 27
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/health - Dangerous shell operationline 58
| **secure** | Audit dependencies with `pip-audit`. Check for SQL injection in raw queries, `eval()`/`exec()` usage, insecure deserialization (`pickle`), and path traversal. | - Network accessline 76
| Format check | `black --check . 2>&1; echo $?` | exit code 0 | | Dependency vulnerabilities | `pip-audit 2>&1 \| grep 'found' \| awk '{print $2}'` | 0 | | Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/heal - Network accessline 77
| Dependency vulnerabilities | `pip-audit 2>&1 \| grep 'found' \| awk '{print $2}'` | 0 | | Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/health` | < 0.05s | | Import time | `python -X importtime -c "import - Network accessline 78
| Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/health` | < 0.05s | - Network accessline 120
curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/health - Network accessline 232
type_check_command: mypy . --settings-module=myproject.settings build_command: python manage.py collectstatic --noinput verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/health/ - Network accessline 234
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/api/health/ - Network accessline 267
lint_command: ruff check . type_check_command: mypy . --ignore-missing-imports verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/health - Network accessline 269
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8000/health - Network accessline 281
# Concurrent request throughput wrk -t4 -c100 -d10s http://localhost:8000/api/products | grep 'Requests/sec' - Network accessline 282
wrk -t4 -c100 -d10s http://localhost:8000/api/products | grep 'Requests/sec' - Network accessline 298
type_check_command: mypy . --ignore-missing-imports build_command: flask --app app db upgrade verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:5000/health - Network accessline 300
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:5000/health - Network accessline 405
/godmode:optimize --goal "reduce notification creation latency" \ --verify "curl -s -o /dev/null -w '%{time_total}' -X POST http://localhost:8000/notifications -H 'Content-Type: application/json' -d '{\"recipient_id\":\"user-1\",\"channel - Network accessline 406
--verify "curl -s -o /dev/null -w '%{time_total}' -X POST http://localhost:8000/notifications -H 'Content-Type: application/json' -d '{\"recipient_id\":\"user-1\",\"channel\":\"email\",\"subject\":\"test\",\"body\":\"test\"}'" \
docs/languages/react.md
- Network accessline 102
| Metric | Verify Command | Target | |--|--|--| | Lighthouse performance | `npx lighthouse http://localhost:3000 --output=json --chrome-flags="--headless" \| jq '.categories.performance.score * 100'` | >= 90 | - Network accessline 103
|--|--|--| | Lighthouse performance | `npx lighthouse http://localhost:3000 --output=json --chrome-flags="--headless" \| jq '.categories.performance.score * 100'` | >= 90 | | Bundle size (total JS) | `npm run build && du -b .next/static/chu - Network accessline 104
| Lighthouse performance | `npx lighthouse http://localhost:3000 --output=json --chrome-flags="--headless" \| jq '.categories.performance.score * 100'` | >= 90 | - Network accessline 105
| Bundle size (total JS) | `npm run build && du -b .next/static/chunks/*.js \| awk '{s+=$1}END{print s}'` | < 300KB (gzipped) | | First Contentful Paint | `npx lighthouse http://localhost:3000 --output=json --chrome-flags="--headless" \| jq - Network accessline 106
| First Contentful Paint | `npx lighthouse http://localhost:3000 --output=json --chrome-flags="--headless" \| jq '.audits["first-contentful-paint"].numericValue'` | < 1800ms | - Network accessline 107
| Largest Contentful Paint | `npx lighthouse http://localhost:3000 --output=json --chrome-flags="--headless" \| jq '.audits["largest-contentful-paint"].numericValue'` | < 2500ms | - Network accessline 108
| Cumulative Layout Shift | `npx lighthouse http://localhost:3000 --output=json --chrome-flags="--headless" \| jq '.audits["cumulative-layout-shift"].numericValue'` | < 0.1 | - Network accessline 109
| Component test coverage | `npx vitest run --coverage \| grep 'All files' \| awk '{print $4}'` | >= 80% | | Accessibility violations | `npx axe http://localhost:3000 --exit 2>&1 \| grep 'violations' \| awk '{print $1}'` | 0 | | Build time - Network accessline 110
| Accessibility violations | `npx axe http://localhost:3000 --exit 2>&1 \| grep 'violations' \| awk '{print $1}'` | 0 | - Network accessline 158
npx lighthouse http://localhost:3000 --output=json --chrome-flags="--headless" | jq '.categories.performance.score * 100' - Network accessline 354
4. Implement KanbanBoard with drag-and-drop (`components/KanbanBoard.tsx`) 5. Implement TaskModal with form validation (`components/TaskModal.tsx`) 6. Build board page with server-side data fetch (`app/(dashboard)/board/page.tsx`) - Network accessline 355
5. Implement TaskModal with form validation (`components/TaskModal.tsx`) 6. Build board page with server-side data fetch (`app/(dashboard)/board/page.tsx`) 7. Add WebSocket provider for real-time updates (`providers/WebSocketProvider.tsx`) - Network accessline 356
6. Build board page with server-side data fetch (`app/(dashboard)/board/page.tsx`)
docs/languages/ruby.md
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format_command: bundle exec rubocop -A build_command: bundle install && rake assets:precompile verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/up - Network accessline 25
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/up - Network accessline 74
| Static security | `brakeman -q 2>&1 \| grep 'Warnings'` | 0 warnings | | Test coverage | `open coverage/index.html` (SimpleCov) | >= 85% | | Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/up` | < 0.05s | - Network accessline 75
| Test coverage | `open coverage/index.html` (SimpleCov) | >= 85% | | Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/up` | < 0.05s | | Query count | Bullet gem / Rack Mini Profiler | No N+1s | - Network accessline 76
| Response time | `curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/up` | < 0.05s | - Network accessline 118
curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/up - Network accessline 332
# Gemfile source 'https://rubygems.org' - Network accessline 333
source 'https://rubygems.org' - Network accessline 374
lint_command: bundle exec rubocop --parallel build_command: bundle install && rake assets:precompile verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/up - Network accessline 376
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/up - Network accessline 445
# Query count for an endpoint RAILS_LOG_LEVEL=debug curl http://localhost:3000/api/products 2>&1 | grep 'SELECT' | wc -l - Network accessline 446
RAILS_LOG_LEVEL=debug curl http://localhost:3000/api/products 2>&1 | grep 'SELECT' | wc -l - Network accessline 628
/godmode:optimize --goal "reduce task list query time" \ --verify "curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/api/projects/1/tasks" \ - Network accessline 629
--verify "curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/api/projects/1/tasks" \
docs/languages/rust.md
- Network accessline 232
let svc = UrlService::new(); c.bench_function("shorten_url", |b| { b.iter(|| svc.shorten("https://example.com/very/long/path")) - Network accessline 233
c.bench_function("shorten_url", |b| { b.iter(|| svc.shorten("https://example.com/very/long/path")) }); - Network accessline 234
b.iter(|| svc.shorten("https://example.com/very/long/path"))
docs/languages/swift.md
- Access to secretsline 57
[Credential-related source omitted] - Network accessline 320
lint_command: swiftlint lint --strict build_command: swift build -c release verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/health - Network accessline 322
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:8080/health
docs/languages/typescript.md
- Network accessline 24
type_check_command: npx tsc --noEmit build_command: npm run build verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/api/health - Network accessline 26
verify_command: curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/api/health - Dangerous shell operationline 57
| **secure** | Audit `@types/*` packages for known vulnerabilities. Check for `eval()`, `Function()`, and `as any` casts that bypass type safety. | - Network accessline 119
curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/api/health - Network accessline 293
/godmode:optimize --goal "reduce response time" --verify "curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/api/tasks" --target "< 0.05"
docs/marketing/drafts/JosiahSiegel-claude-plugin-marketplace.md
- Network accessline 5
- Repo: <https://github.com/JosiahSiegel/claude-plugin-marketplace> - Network accessline 75
2. **Option B — manifest-only entry PR** (the minimal-diff shape): submit just the ready-to-paste entry above into their `.claude-plugin/marketplace.json`, no vendored tree. Tradeoff: tiny diff, but likely rejected — their checklist require - Network accessline 77
4. **Official Anthropic plugin directory instead** (found in the same sweep): `anthropics/claude-plugins-official` README § Contributing → "Third-party partners can submit plugins for inclusion in the marketplace... use the [plugin director - Network accessline 94
- Repo: <https://github.com/arbazkhan971/godmode> - Network accessline 95
- Release: <https://github.com/arbazkhan971/godmode/releases/tag/v2.0.0>
docs/marketing/drafts/agentskills-io.md
- Network accessline 5
- Site: <https://agentskills.io> · Source repo: <https://github.com/agentskills/agentskills> ("Specification and documentation for Agent Skills"; not archived; default branch `main`; pushed 2026-08-09) - Network accessline 16
- Repo: <https://github.com/arbazkhan971/godmode> - Network accessline 17
- Release: <https://github.com/arbazkhan971/godmode/releases/tag/v2.0.0> - Network accessline 29
- Docs repo (discussions / docs PRs): <https://github.com/agentskills/agentskills> - Network accessline 30
- Discord: <https://discord.gg/MKPE9g8aUy> (site header link; "Agent Skills official Discord server" is discussion #273) — human action: re-pull the invite live from the agentskills.io site header at use time and confirm it resolves to the
docs/marketing/drafts/anthropics-claude-plugins-official.md
- Network accessline 5
- Repo: <https://github.com/anthropics/claude-plugins-official> - Network accessline 11
- README is titled **"Claude Code Plugins Directory"**. - `/external_plugins` holds third-party plugins as directories containing `.claude-plugin/plugin.json` + README, indexed via `.claude-plugin/marketplace.json`. - README states external - Network accessline 12
- `/external_plugins` holds third-party plugins as directories containing `.claude-plugin/plugin.json` + README, indexed via `.claude-plugin/marketplace.json`. - README states external plugins "must meet quality and security standards for a - Network accessline 13
- README states external plugins "must meet quality and security standards for approval", and intake is the plugin directory submission form at <https://clau.de/plugin-directory-submission> — **a human must file it**. There is no PR path fo - Network accessline 18
- Name: godmode - Repo: <https://github.com/arbazkhan971/godmode> - Network accessline 19
- Repo: <https://github.com/arbazkhan971/godmode> - Network accessline 21
- Install: `claude plugin install godmode` (also adapters for Codex/Cursor/Gemini CLI/OpenCode/pi/omp) - License: MIT - Release: v2.0.0 — <https://github.com/arbazkhan971/godmode/releases/tag/v2.0.0> - Network accessline 22
- License: MIT - Release: v2.0.0 — <https://github.com/arbazkhan971/godmode/releases/tag/v2.0.0> - Author: @arbazkhan971 - Network accessline 23
- Release: v2.0.0 — <https://github.com/arbazkhan971/godmode/releases/tag/v2.0.0> - Network accessline 28
1. **File the form** at <https://clau.de/plugin-directory-submission> using the paste-ready entry above.
docs/marketing/drafts/anthropics-skills.md
- Network accessline 5
- Repo: <https://github.com/anthropics/skills>
docs/marketing/drafts/hashgraph-online-awesome-codex-plugins.md
- Network accessline 5
- Repo: <https://github.com/hashgraph-online/awesome-codex-plugins> — 854-star, actively maintained curated list of Codex plugins (live-verified 2026-08-28 via API: 854 stars, last push 2026-08-28). - Network accessline 36
- [godmode](https://github.com/arbazkhan971/godmode) - Discipline layer for coding agents: 135 skills and 7 subagents in a measure → modify → verify → keep/revert loop.
docs/marketing/drafts/hesreallyhim-awesome-claude-code.md
- Network accessline 21
Submission form (web UI only): <https://github.com/hesreallyhim/awesome-claude-code/issues/new?template=recommend-resource.yml> - Network accessline 54
- [fable-mode](https://github.com/mrtooher/fable-mode) by [mrtooher](https://github.com/mrtooher) - A Claude skill that activates Fable-style agentic behavior: explicit multi-stage planning, sub-agent delegation, and self-verification. - Network accessline 55
<img src="https://img.shields.io/github/created-at/mrtooher/fable-mode?style=flat-square&labelColor=2b2b2b&color=6b6b6b" alt="created"> <img src="https://img.shields.io/github/last-commit/mrtooher/fable-mode?style=flat-square&lab - Network accessline 66
- [godmode](https://github.com/arbazkhan971/godmode) by [arbazkhan971](https://github.com/arbazkhan971) - 135 skills and 7 subagents that wrap Claude Code in a measure, verify, keep-or-revert loop. - Network accessline 67
<img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="license"> <img src="https://img.shields.io/badge/skills-135-ff6b6b.svg" alt="skills"> <img src="https://img.shields.io/badge/subagents-7-ff9f43.svg" alt - Network accessline 81
issue #1085 "Add Godmode Lite — free 4-layer execution protocol skill" by Lotron-Electrical (<https://github.com/hesreallyhim/awesome-claude-code/issues/1085>), - Network accessline 82
Lotron-Electrical (<https://github.com/hesreallyhim/awesome-claude-code/issues/1085>), - Network accessline 89
- Repo: <https://github.com/arbazkhan971/godmode> - Network accessline 90
- Release: <https://github.com/arbazkhan971/godmode/releases/tag/v2.0.0>
docs/marketing/drafts/reddit-claudeai.md
- Network accessline 34
**Discussion.** Wins and questions both land in the repo's Discussions tab: <https://github.com/arbazkhan971/godmode/discussions>. - Network accessline 38
- Repo: <https://github.com/arbazkhan971/godmode> - Network accessline 39
- v2.0.0 release: <https://github.com/arbazkhan971/godmode/releases/tag/v2.0.0> - Network accessline 40
- How 2.0 works, in detail: <https://github.com/arbazkhan971/godmode/blob/master/docs/blog/godmode-2.0-universal.md>
docs/marketing/drafts/show-hn.md
docs/marketing/drafts/x-launch-thread.md
- Network accessline 9
1. Your AI writes code. Godmode makes it write great code — then proves it: every change measured, every claim backed by a command that exits zero, every failed change auto-reverted. An MIT-licensed discipline layer for the agent you alread - Network accessline 33
7. MIT licensed, and v2.0.0 is out: the loop extracted from its Claude Code origins into a harness-neutral core - one skill corpus, one dispatch contract, one installer per platform. <https://github.com/arbazkhan971/godmode/releases/tag/v2. - Network accessline 37
8. Try it: <https://github.com/arbazkhan971/godmode> - there's a Discussions tab for wins and questions: <https://github.com/arbazkhan971/godmode/discussions>
docs/marketing/submission-queue.md
- Network accessline 11
| awesome-ai-agents | `e2b-dev/awesome-ai-agents` | awesome-ai-agents | H2 heading with a linked name, one-line description, then a details block (Category, Description, Links), alphabetical | TBD | SKIP | Active (pushed 2026-08-21) but REA - Network accessline 12
| awesome-agent-skills | `VoltAgent/awesome-agent-skills` | awesome-llm-skills-type | Bold bullet: linked owner/repo, dash, short description; PR title "Add skill: owner/repo" | TBD | SKIP | 32.9k stars, active, dedup clean - but CONTRIBUTI - Network accessline 13
| awesome-claude-skills (BehiSecc) | `BehiSecc/awesome-claude-skills` | awesome-llm-skills-type | Bullet: linked name, dash, one-line description; appended at section end per merged-PR convention | <https://github.com/BehiSecc/awesome-claud - Network accessline 14
| awesome-claude-skills (ComposioHQ) | `ComposioHQ/awesome-claude-skills` | awesome-llm-skills-type | Bullet + `*By [@author]*` attribution, alphabetical within category | <https://github.com/ComposioHQ/awesome-claude-skills/pull/1748> | PR - Network accessline 15
| awesome-claude-skills (travisvn) | `travisvn/awesome-claude-skills` | awesome-llm-skills-type | N/A - not submitting | TBD | SKIP | 14.8k stars but open PR #382 "Add Godmode Lite" is a name-collision dedup hit; CONTRIBUTING additionally m - Network accessline 16
| awesome-llm-skills | `Prat011/awesome-llm-skills` | awesome-llm-skills-type | Bullet entry under a `### Category` subsection of `## Skills`: linked name, dash, description | <https://github.com/Prat011/awesome-llm-skills/pull/228> | PR_OP - Network accessline 17
| awesome-opencode | `awesome-opencode/awesome-opencode` | awesome-llm-skills-type | YAML file in `data/plugins/` with name / repo / tagline / description, validated against `data/schema.json` | <https://github.com/awesome-opencode/awesome- - Network accessline 23
| anthropic skills collection | `anthropics/skills` | agentskills-dir | Individual skill directory with `SKILL.md` (name + description frontmatter) under `skills/`, seeded from `template/` | TBD | SKIP | Collects individual skills, not mult - Network accessline 24
| awesome-claude-code-subagents | `VoltAgent/awesome-claude-code-subagents` | agentskills-dir | N/A - vendoring intake | TBD | SKIP | 24.7k stars but CONTRIBUTING requires committing subagent `.md` definition files plus category README/tabl - Network accessline 25
| awesome-codex-skills (composio) | `composio-community/awesome-codex-skills` | awesome-llm-skills-type | One-line bullet (plain name link, hyphen) appended at section end; recent externals omit install suffixes | <https://github.com/compos - Network accessline 26
| awesome-gemini-cli | `Piebald-AI/awesome-gemini-cli` | awesome-llm-skills-type | Bullet in their CONTRIBUTING's literal shape (linked name, dash, one-line description) at bottom of section (CONTRIBUTING rule) | <https://github.com/Piebald - Network accessline 27
| awesome-claude-code-plugins | `ccplugins/awesome-claude-code-plugins` | awesome-llm-skills-type | Plain-hyphen external bullet appended at section end (no CONTRIBUTING; sibling shape) | <https://github.com/ccplugins/awesome-claude-code-pl - Network accessline 28
| awesome-claude-code (jqueryscript) | `jqueryscript/awesome-claude-code` | awesome-llm-skills-type | Bold linked name, dash, (N ⭐) count, dash, one-line description, in star-descending order | <https://github.com/jqueryscript/awesome-claud
docs/mcp-integration.md
- Access to secretsline 69
[Credential-related source omitted]
docs/overnight-session-report.md
- Network accessline 133
git clone https://github.com/arbazkhan971/godmode
docs/platforms/aws.md
- Access to secretsline 11
[Credential-related source omitted]
docs/platforms/supabase.md
docs/platforms/vercel.md
- Network accessline 20
lint_command: npx next lint build_command: npx next build verify_command: curl -s -o /dev/null -w '%{http_code}' https://my-app.vercel.app/api/health - Network accessline 21
build_command: npx next build verify_command: curl -s -o /dev/null -w '%{http_code}' https://my-app.vercel.app/api/health edge_runtime: true # enable Edge Runtime guidance - Network accessline 22
verify_command: curl -s -o /dev/null -w '%{http_code}' https://my-app.vercel.app/api/health - Network accessline 150
# # - Tag-based revalidation: # fetch(url, { next: { tags: ['blog-posts'] } }) - Network accessline 151
# - Tag-based revalidation: # fetch(url, { next: { tags: ['blog-posts'] } }) # // CMS webhook triggers revalidateTag('blog-posts') - Network accessline 152
# fetch(url, { next: { tags: ['blog-posts'] } }) - Network accessline 293
# ├─────────────────┼────────────────────────────────────────────┤ # │ Vercel Edge │ Full-route cache for ISR pages │ # │ Data Cache │ fetch() cache with revalidation tags │ - Network accessline 294
# │ Vercel Edge │ Full-route cache for ISR pages │ # │ Data Cache │ fetch() cache with revalidation tags │ # │ Router Cache │ Client-side cache for navigation │ - Network accessline 295
# │ Data Cache │ fetch() cache with revalidation tags │
docs/quick-reference.md
- Network accessline 106
/godmode:optimize Interactive setup + autonomous loop /godmode:optimize --goal "reduce latency" Set goal directly /godmode:optimize --verify "curl ..." Set verify command - Network accessline 107
/godmode:optimize --goal "reduce latency" Set goal directly /godmode:optimize --verify "curl ..." Set verify command /godmode:optimize --target "< 200" Set target value - Network accessline 108
/godmode:optimize --verify "curl ..." Set verify command
docs/quick-start.md
- Network accessline 63
/godmode:optimize Goal: Reduce API response time for GET /api/products Metric: curl -o /dev/null -s -w '%{time_total}' http://localhost:3000/api/products - Network accessline 64
Goal: Reduce API response time for GET /api/products Metric: curl -o /dev/null -s -w '%{time_total}' http://localhost:3000/api/products Direction: ↓ - Network accessline 65
Metric: curl -o /dev/null -s -w '%{time_total}' http://localhost:3000/api/products - Network accessline 292
**3. Not providing a measurable metric to `optimize`.** Optimize needs a command that outputs a single number (e.g., `curl -s -w '%{time_total}'`, `hyperfine --export-json`, `pytest --benchmark-json`). If you say "make it faster" without a - Network accessline 293
Optimize needs a command that outputs a single number (e.g., `curl -s -w '%{time_total}'`, `hyperfine --export-json`, `pytest --benchmark-json`). If you say "make it faster" without a metric, optimize will ask you for one. Have it ready.
docs/recipes/ai-product.md
- Dangerous shell operationline 545
WEEKLY EVAL (Week 3):
docs/recipes/api-gateway.md
- Access to secretsline 195
[Credential-related source omitted] - Network accessline 311
LOAD TEST CONFIGURATION: Tool: k6 Target: https://gateway.staging.internal - Network accessline 312
Tool: k6 Target: https://gateway.staging.internal Duration: 10 minutes - Network accessline 313
Target: https://gateway.staging.internal - Network accessline 402
services: - name: users-service url: http://users-service:8001 - Network accessline 403
- name: users-service url: http://users-service:8001 routes: - Network accessline 404
url: http://users-service:8001 - Network accessline 410
- name: orders-service url: http://orders-service:8002 - Network accessline 411
url: http://orders-service:8002 - Network accessline 417
- name: products-service url: http://products-service:8003 - Network accessline 418
url: http://products-service:8003 - Network accessline 470
// Service routing await gateway.register(proxy, { upstream: 'http://users-service:8001', - Network accessline 471
await gateway.register(proxy, { upstream: 'http://users-service:8001', prefix: '/api/v1/users', - Network accessline 472
upstream: 'http://users-service:8001', - Network accessline 476
await gateway.register(proxy, { upstream: 'http://orders-service:8002', - Network accessline 477
upstream: 'http://orders-service:8002', - Network accessline 482
await gateway.register(proxy, { upstream: 'http://products-service:8003', - Network accessline 483
upstream: 'http://products-service:8003',
docs/recipes/auth-system.md
docs/recipes/cli-tool.md
- Network accessline 363
NPM PUBLISH: Package: scaffold-cli@1.0.0 Registry: https://registry.npmjs.org - Network accessline 364
Package: scaffold-cli@1.0.0 Registry: https://registry.npmjs.org ✓ Published successfully - Network accessline 365
Registry: https://registry.npmjs.org - Network accessline 408
SHIP STATUS: ✓ RELEASED npm: https://www.npmjs.com/package/scaffold-cli - Network accessline 409
npm: https://www.npmjs.com/package/scaffold-cli - Network accessline 411
GitHub: https://github.com/yourname/scaffold-cli/releases/tag/v1.0.0 - Network accessline 474
class Scaffold < Formula desc "Generate project boilerplate from templates" homepage "https://github.com/yourname/scaffold-cli" - Network accessline 475
desc "Generate project boilerplate from templates" homepage "https://github.com/yourname/scaffold-cli" url "https://registry.npmjs.org/scaffold-cli/-/scaffold-cli-1.0.0.tgz" - Network accessline 476
homepage "https://github.com/yourname/scaffold-cli" - Network accessline 477
url "https://registry.npmjs.org/scaffold-cli/-/scaffold-cli-1.0.0.tgz" - Network accessline 551
with: node-version: 20 registry-url: 'https://registry.npmjs.org' - Network accessline 552
node-version: 20 registry-url: 'https://registry.npmjs.org' - run: npm ci - Network accessline 553
registry-url: 'https://registry.npmjs.org' - Access to secretsline 557
[Credential-related source omitted]
docs/recipes/design-system.md
- Network accessline 401
Storybook deployed: https://design.acme.com
docs/recipes/docker-k8s.md
- Network accessline 85
- Copy only compiled JavaScript from build stage - Run as non-root user (node:node, UID 1000) - Healthcheck: curl http://localhost:3000/health - Network accessline 86
- Run as non-root user (node:node, UID 1000) - Healthcheck: curl http://localhost:3000/health - No shell, no package manager in final image - Network accessline 87
- Healthcheck: curl http://localhost:3000/health
docs/recipes/fullstack-feature.md
- Network accessline 550
PR #312: https://github.com/org/taskflow/pull/312
docs/recipes/incident-response.md
- Network accessline 114
Technique 3: Reproduce curl -X POST /api/orders -d '{"items": [{"product_id": "digital-101", "qty": 1}]}' - Network accessline 115
curl -X POST /api/orders -d '{"items": [{"product_id": "digital-101", "qty": 1}]}' - Network accessline 118
curl -X POST /api/orders -d '{"items": [{"product_id": "physical-201", "qty": 1}]}'
docs/recipes/mobile-app.md
- Network accessline 261
Keywords: habit tracker, streaks, daily routine, goals, self improvement Description: [1200 characters, benefit-focused] Privacy policy URL: https://yourapp.com/privacy - Network accessline 262
Description: [1200 characters, benefit-focused] Privacy policy URL: https://yourapp.com/privacy Data collection: None (offline-first, no analytics for MVP) - Network accessline 263
Privacy policy URL: https://yourapp.com/privacy - Network accessline 345
Apple Developer Program: $99/year Sign up → 24-48 hours for approval https://developer.apple.com/programs/ - Network accessline 347
https://developer.apple.com/programs/ - Network accessline 349
Google Play Developer: $25 one-time Sign up → usually instant, sometimes 48 hours https://play.google.com/console/signup - Network accessline 351
https://play.google.com/console/signup - Network accessline 353
D-U-N-S Number (Apple, if publishing as organization): Free, but takes 5-14 business days https://developer.apple.com/support/D-U-N-S/ - Network accessline 355
https://developer.apple.com/support/D-U-N-S/
docs/recipes/open-source-release.md
- Dangerous shell operationline 101
✓ PASS — No eval() or Function() usage
docs/recipes/performance-optimization.md
- Network accessline 187
> /godmode:optimize --goal "reduce GET /api/dashboard response time" --verify "curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/api/dashboard" - Network accessline 189
--verify "curl -s -o /dev/null -w '%{time_total}' http://localhost:3000/api/dashboard" \ - Network accessline 248
> /godmode:optimize --goal "reduce Lighthouse performance score gap" --verify "npx lighthouse http://localhost:3000/dashboard --output=json --quiet | jq '.categories.performance.score * 100'" - Network accessline 250
--verify "npx lighthouse http://localhost:3000/dashboard --output=json --quiet | jq '.categories.performance.score * 100'" \
docs/recipes/security-hardening.md
- Access to secretsline 401
[Credential-related source omitted]
docs/recipes/startup-mvp.md
- Network accessline 117
Dev server running: http://localhost:3000 - Network accessline 278
DATABASE_URL — Neon connection string NEXTAUTH_SECRET — Generated secure random NEXTAUTH_URL — https://timetracker.vercel.app - Network accessline 279
NEXTAUTH_SECRET — Generated secure random NEXTAUTH_URL — https://timetracker.vercel.app GOOGLE_CLIENT_ID — From .env.local - Network accessline 280
NEXTAUTH_URL — https://timetracker.vercel.app - Access to secretsline 282
[Credential-related source omitted] - Network accessline 284
Build: ✓ successful Deploy: ✓ live at https://timetracker.vercel.app - Network accessline 285
Deploy: ✓ live at https://timetracker.vercel.app - Network accessline 318
SHIP STATUS: ✓ MVP IS LIVE URL: https://timetracker.vercel.app - Network accessline 319
URL: https://timetracker.vercel.app
docs/recipes/team-onboarding.md
- Access to secretsline 259
[Credential-related source omitted] - Network accessline 452
1. Check Stripe dashboard for PaymentIntent status 2. If succeeded: manually trigger webhook reconciliation curl -X POST /internal/reconcile-payment/:id - Network accessline 453
2. If succeeded: manually trigger webhook reconciliation curl -X POST /internal/reconcile-payment/:id 3. If still processing: wait for Stripe (can take up to 7 days for - Network accessline 454
curl -X POST /internal/reconcile-payment/:id
docs/skill-index.md
- Access to secretsline 120
[Credential-related source omitted]
docs/testing/cypress.md
- Network accessline 29
// E2E testing configuration e2e: { baseUrl: 'http://localhost:3000', - Network accessline 30
e2e: { baseUrl: 'http://localhost:3000', specPattern: 'cypress/e2e/**/*.cy.{js,jsx,ts,tsx}', - Network accessline 31
baseUrl: 'http://localhost:3000', - Network accessline 49
// Environment variables env: { apiUrl: 'http://localhost:3000/api', - Network accessline 50
env: { apiUrl: 'http://localhost:3000/api', coverage: false, - Network accessline 51
apiUrl: 'http://localhost:3000/api', - Network accessline 279
// URL assertions cy.url().should('include', '/dashboard'); cy.url().should('eq', 'http://localhost:3000/dashboard'); - Network accessline 280
cy.url().should('include', '/dashboard'); cy.url().should('eq', 'http://localhost:3000/dashboard'); cy.location('pathname').should('eq', '/dashboard'); - Network accessline 281
cy.url().should('eq', 'http://localhost:3000/dashboard'); - Network accessline 973
build: npm run build start: npm run start wait-on: 'http://localhost:3000' - Network accessline 974
start: npm run start wait-on: 'http://localhost:3000' wait-on-timeout: 120 - Network accessline 975
wait-on: 'http://localhost:3000' - Network accessline 1026
build: npm run build start: npm run start wait-on: 'http://localhost:3000' - Network accessline 1027
start: npm run start wait-on: 'http://localhost:3000' browser: ${{ matrix.browser }} - Network accessline 1028
wait-on: 'http://localhost:3000' - Network accessline 1042
- npm run build - npm run start & - npx wait-on http://localhost:3000 - Network accessline 1043
- npm run start & - npx wait-on http://localhost:3000 - npx cypress run --record --parallel --group "GitLab CI" --ci-build-id $CI_PIPELINE_ID - Network accessline 1044
- npx wait-on http://localhost:3000 - Access to secretsline 1053
[Credential-related source omitted] - Network accessline 1076
- "3000:3000" healthcheck: test: ["CMD", "curl", "-f", "http://localhost:3000"] - Network accessline 1077
healthcheck: test: ["CMD", "curl", "-f", "http://localhost:3000"] interval: 10s - Network accessline 1078
test: ["CMD", "curl", "-f", "http://localhost:3000"] - Network accessline 1088
condition: service_healthy environment: - CYPRESS_baseUrl=http://app:3000 - Network accessline 1089
environment: - CYPRESS_baseUrl=http://app:3000 volumes: - Network accessline 1090
- CYPRESS_baseUrl=http://app:3000 - Network accessline 1128
with: start: npm start wait-on: 'http://localhost:3000' - Network accessline 1129
start: npm start wait-on: 'http://localhost:3000' env: - Network accessline 1130
wait-on: 'http://localhost:3000' - Network accessline 1195
cy.window().then((win) => { win.navigator.clipboard.readText().then((text) => { expect(text).to.equal('https://example.com/shared-link'); - Network accessline 1196
win.navigator.clipboard.readText().then((text) => { expect(text).to.equal('https://example.com/shared-link'); }); - Network accessline 1197
expect(text).to.equal('https://example.com/shared-link'); - Network accessline 1240
const envConfig = { local: { baseUrl: 'http://localhost:3000', - Network accessline 1241
local: { baseUrl: 'http://localhost:3000', env: { apiUrl: 'http://localhost:3000/api' }, - Network accessline 1242
baseUrl: 'http://localhost:3000', - Network accessline 1243
env: { apiUrl: 'http://localhost:3000/api' }, - Network accessline 1244
}, staging: { baseUrl: 'https://staging.example.com', - Network accessline 1245
staging: { baseUrl: 'https://staging.example.com', env: { apiUrl: 'https://staging.example.com/api' }, - Network accessline 1246
baseUrl: 'https://staging.example.com', - Network accessline 1247
env: { apiUrl: 'https://staging.example.com/api' }, - Network accessline 1248
}, production: { baseUrl: 'https://example.com', - Network accessline 1249
production: { baseUrl: 'https://example.com', env: { apiUrl: 'https://example.com/api' }, - Network accessline 1250
baseUrl: 'https://example.com', - Network accessline 1251
env: { apiUrl: 'https://example.com/api' },
docs/testing/jest-vitest.md
- Network accessline 29
testEnvironment: 'jsdom', // or 'node' for backend testEnvironmentOptions: { url: 'http://localhost:3000', - Network accessline 30
testEnvironmentOptions: { url: 'http://localhost:3000', }, - Network accessline 31
url: 'http://localhost:3000', - Network accessline 86
environment: 'jsdom', // or 'happy-dom' (faster) environmentOptions: { jsdom: { url: 'http://localhost:3000' }, - Network accessline 87
environmentOptions: { jsdom: { url: 'http://localhost:3000' }, }, - Network accessline 88
jsdom: { url: 'http://localhost:3000' },
docs/testing/playwright.md
- Network accessline 51
// Shared settings for all projects use: { baseURL: 'http://localhost:3000', - Network accessline 52
use: { baseURL: 'http://localhost:3000', trace: 'on-first-retry', - Network accessline 53
baseURL: 'http://localhost:3000', - Network accessline 86
webServer: { command: 'npm run dev', url: 'http://localhost:3000', - Network accessline 87
command: 'npm run dev', url: 'http://localhost:3000', reuseExistingServer: !process.env.CI, - Network accessline 88
url: 'http://localhost:3000', - Network accessline 276
[Credential-related source omitted] - Network accessline 277
[Credential-related source omitted] - Network accessline 278
const response = await fetch('http://localhost:3000/api/test/users', { - Network accessline 287
// Teardown: delete test user await fetch(`http://localhost:3000/api/test/users/${created.id}`, { - Network accessline 288
await fetch(`http://localhost:3000/api/test/users/${created.id}`, { - Network accessline 317
// Worker-scoped (second type parameter, option: { scope: 'worker' }) apiClient: [async ({}, use) => { const client = new APIClient('http://localhost:3000/api'); - Network accessline 318
apiClient: [async ({}, use) => { const client = new APIClient('http://localhost:3000/api'); await client.authenticate('admin', 'admin-pass'); - Network accessline 319
const client = new APIClient('http://localhost:3000/api'); - Network accessline 366
# Open browser with recording npx playwright codegen http://localhost:3000 - Network accessline 367
npx playwright codegen http://localhost:3000 - Network accessline 369
# Record into a file npx playwright codegen --output e2e/generated.spec.ts http://localhost:3000 - Network accessline 370
npx playwright codegen --output e2e/generated.spec.ts http://localhost:3000 - Network accessline 372
# Emulate device npx playwright codegen --device="iPhone 13" http://localhost:3000 - Network accessline 373
npx playwright codegen --device="iPhone 13" http://localhost:3000 - Network accessline 375
# Emulate viewport npx playwright codegen --viewport-size=800,600 http://localhost:3000 - Network accessline 376
npx playwright codegen --viewport-size=800,600 http://localhost:3000 - Network accessline 378
# Emulate color scheme npx playwright codegen --color-scheme=dark http://localhost:3000 - Network accessline 379
npx playwright codegen --color-scheme=dark http://localhost:3000 - Network accessline 381
# With authentication state npx playwright codegen --load-storage=auth.json http://localhost:3000 - Network accessline 382
npx playwright codegen --load-storage=auth.json http://localhost:3000 - Network accessline 454
test('modify response body', async ({ page }) => { await page.route('**/api/config', async (route) => { const response = await route.fetch(); - Network accessline 455
await page.route('**/api/config', async (route) => { const response = await route.fetch(); const json = await response.json(); - Network accessline 456
const response = await route.fetch(); - Network accessline 531
await page.goto('http://localhost:3000/login'); - Network accessline 1083
test('sometimes flaky network test', { tag: '@flaky', annotation: { type: 'issue', description: 'https://github.com/org/repo/issues/123' }, - Network accessline 1084
tag: '@flaky', annotation: { type: 'issue', description: 'https://github.com/org/repo/issues/123' }, }, async ({ page }) => { - Network accessline 1085
annotation: { type: 'issue', description: 'https://github.com/org/repo/issues/123' },
docs/testing/pytest.md
- Access to secretsline 239
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 313
[Credential-related source omitted] - Access to secretsline 314
[Credential-related source omitted] - Access to secretsline 344
[Credential-related source omitted] - Network accessline 612
result = fetch_data("http://api.example.com/data") - Network accessline 614
assert result == {"data": "test"} mock_get.assert_called_once_with("http://api.example.com/data", timeout=30) - Network accessline 615
mock_get.assert_called_once_with("http://api.example.com/data", timeout=30) - Network accessline 620
with patch("myapp.services.requests.get") as mock_get: mock_get.return_value.json.return_value = {"data": "test"} result = fetch_data("http://api.example.com/data") - Network accessline 621
mock_get.return_value.json.return_value = {"data": "test"} result = fetch_data("http://api.example.com/data") assert result == {"data": "test"} - Network accessline 622
result = fetch_data("http://api.example.com/data") - Access to secretsline 647
[Credential-related source omitted] - Access to secretsline 649
[Credential-related source omitted] - Access to secretsline 704
[Credential-related source omitted] - Network accessline 770
# With asyncio_mode = "auto" in config, no decorator needed async def test_async_function(): result = await async_fetch("http://api.example.com") - Network accessline 771
async def test_async_function(): result = await async_fetch("http://api.example.com") assert result["status"] == "ok" - Network accessline 772
result = await async_fetch("http://api.example.com") - Network accessline 777
@pytest.mark.asyncio async def test_async_explicit(): result = await async_fetch("http://api.example.com") - Network accessline 778
async def test_async_explicit(): result = await async_fetch("http://api.example.com") assert result["status"] == "ok" - Network accessline 779
result = await async_fetch("http://api.example.com") - Network accessline 831
with patch("myapp.client.fetch", mock_fetch): result = await myapp.client.fetch("/api/data") - Network accessline 832
result = await myapp.client.fetch("/api/data") - Network accessline 1282
async def test_mock_httpx(httpx_mock): httpx_mock.add_response( url="https://api.example.com/users", - Network accessline 1283
httpx_mock.add_response( url="https://api.example.com/users", json={"users": [{"id": 1, "name": "Alice"}]}, - Network accessline 1284
url="https://api.example.com/users", - Network accessline 1288
async with httpx.AsyncClient() as client: - Network accessline 1289
response = await client.get("https://api.example.com/users") - Network accessline 1294
async def test_mock_httpx_error(httpx_mock): httpx_mock.add_exception(httpx.ConnectTimeout("Connection timed out")) - Network accessline 1295
httpx_mock.add_exception(httpx.ConnectTimeout("Connection timed out")) - Network accessline 1297
with pytest.raises(httpx.ConnectTimeout): async with httpx.AsyncClient() as client: - Network accessline 1298
async with httpx.AsyncClient() as client: - Network accessline 1299
await client.get("https://api.example.com/users")
docs/troubleshooting.md
docs/tsv-schemas.md
- Network accessline 197
2026-03-20T14:30:00Z PR e4b2a91 shipped https://github.com/org/repo/pull/42
docs/tutorials/first-skill.md
- Network accessline 255
Format follows [Keep a Changelog](https://keepachangelog.com/) convention.
hooks/init.sh
- Executable scriptline 1
#!/usr/bin/env bash
hooks/session-start
- Executable scriptline 1
#!/usr/bin/env bash
package-lock.json
- Network accessline 18
"node_modules/@nodelib/fs.scandir": { "version": "2.1.5", "resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz", - Network accessline 19
"version": "2.1.5", "resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz", "integrity": "sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g==", - Network accessline 20
"resolved": "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz", - Network accessline 32
"node_modules/@nodelib/fs.stat": { "version": "2.0.5", "resolved": "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz", - Network accessline 33
"version": "2.0.5", "resolved": "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz", "integrity": "sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A==", - Network accessline 34
"resolved": "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz", - Network accessline 42
"node_modules/@nodelib/fs.walk": { "version": "1.2.8", "resolved": "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz", - Network accessline 43
"version": "1.2.8", "resolved": "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz", "integrity": "sha512-oGB+UxlgWcgQkgwo8GcEGwemoTFt3FIO9ababBmaGwXIoBKZ+GTy0pP185beGg7Llih/NSHSV2XAs1lnznocSg==", - Network accessline 44
"resolved": "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz", - Network accessline 56
"node_modules/@sindresorhus/merge-streams": { "version": "1.0.0", "resolved": "https://registry.npmjs.org/@sindresorhus/merge-streams/-/merge-streams-1.0.0.tgz", - Network accessline 57
"version": "1.0.0", "resolved": "https://registry.npmjs.org/@sindresorhus/merge-streams/-/merge-streams-1.0.0.tgz", "integrity": "sha512-rUV5WyJrJLoloD4NDN1V1+LDMDWOa4OTsT4yYJwQNpTU6FWxkxHpL7eu4w+DmiH8x/EAM1otkPE1+LaspIbplw==", - Network accessline 58
"resolved": "https://registry.npmjs.org/@sindresorhus/merge-streams/-/merge-streams-1.0.0.tgz", - Network accessline 64
}, "funding": { "url": "https://github.com/sponsors/sindresorhus" - Network accessline 65
"funding": { "url": "https://github.com/sponsors/sindresorhus" } - Network accessline 66
"url": "https://github.com/sponsors/sindresorhus" - Network accessline 69
"node_modules/argparse": { "version": "2.0.1", "resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz", - Network accessline 70
"version": "2.0.1", "resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz", "integrity": "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q==", - Network accessline 71
"resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz", - Network accessline 76
"node_modules/braces": { "version": "3.0.3", "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz", - Network accessline 77
"version": "3.0.3", "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz", "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==", - Network accessline 78
"resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz", - Network accessline 89
"node_modules/entities": { "version": "4.5.0", "resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz", - Network accessline 90
"version": "4.5.0", "resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz", "integrity": "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==", - Network accessline 91
"resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz", - Network accessline 97
}, "funding": { "url": "https://github.com/fb55/entities?sponsor=1" - Network accessline 98
"funding": { "url": "https://github.com/fb55/entities?sponsor=1" } - Network accessline 99
"url": "https://github.com/fb55/entities?sponsor=1" - Network accessline 102
"node_modules/fast-glob": { "version": "3.3.3", "resolved": "https://registry.npmjs.org/fast-glob/-/fast-glob-3.3.3.tgz", - Network accessline 103
"version": "3.3.3", "resolved": "https://registry.npmjs.org/fast-glob/-/fast-glob-3.3.3.tgz", "integrity": "sha512-7MptL8U0cqcFdzIzwOTHoilX9x5BrNqye7Z/LuC7kCMRio1EMSyqRK3BEAUD7sXRq4iT4AzTVuZdhgQ2TCvYLg==", - Network accessline 104
"resolved": "https://registry.npmjs.org/fast-glob/-/fast-glob-3.3.3.tgz", - Network accessline 119
"node_modules/fast-glob/node_modules/micromatch": { "version": "4.0.8", "resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.8.tgz", - Network accessline 120
"version": "4.0.8", "resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.8.tgz", "integrity": "sha512-PXwfBhYu0hBCPw8Dn0E+WDYb7af3dSLVWKi3HGv84IdF4TyFoC0ysxFd0Goxw7nSv4T/PzEJQxsYsEiFCKo2BA==", - Network accessline 121
"resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.8.tgz", - Network accessline 133
"node_modules/fastq": { "version": "1.20.1", "resolved": "https://registry.npmjs.org/fastq/-/fastq-1.20.1.tgz", - Network accessline 134
"version": "1.20.1", "resolved": "https://registry.npmjs.org/fastq/-/fastq-1.20.1.tgz", "integrity": "sha512-GGToxJ/w1x32s/D2EKND7kTil4n8OVk/9mycTc4VDza13lOvpUZTGX3mFSCtV9ksdGBVzvsyAVLM6mHFThxXxw==", - Network accessline 135
"resolved": "https://registry.npmjs.org/fastq/-/fastq-1.20.1.tgz", - Network accessline 143
"node_modules/fill-range": { "version": "7.1.1", "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz", - Network accessline 144
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package.json
- Executable scriptline 1
Executable file - Network accessline 31
"repository": { "type": "git", "url": "https://github.com/arbazkhan971/godmode.git" - Network accessline 32
"type": "git", "url": "https://github.com/arbazkhan971/godmode.git" }, - Network accessline 33
"url": "https://github.com/arbazkhan971/godmode.git" - Network accessline 34
}, "homepage": "https://github.com/arbazkhan971/godmode", "bugs": { - Network accessline 35
"homepage": "https://github.com/arbazkhan971/godmode", - Network accessline 36
"bugs": { "url": "https://github.com/godmode-team/godmode/issues" }, - Network accessline 37
"url": "https://github.com/godmode-team/godmode/issues"
scripts/count-skills.sh
- Executable scriptline 1
#!/usr/bin/env bash - Network accessline 144
--badges) echo "" - Network accessline 145
echo "" - Network accessline 146
echo "" - Network accessline 147
echo "" - Network accessline 148
echo "" - Network accessline 149
echo ""
scripts/generate-index.sh
- Executable scriptline 1
#!/usr/bin/env bash
skills/a11y/SKILL.md
skills/api/references/api-design-patterns.md
- Network accessline 178
POST /api/v1/webhooks { "url": "https://client.example.com/hooks/orders", - Network accessline 179
{ "url": "https://client.example.com/hooks/orders", "events": ["order.created", "order.shipped"], - Network accessline 180
"url": "https://client.example.com/hooks/orders", - Network accessline 185
Delivery: POST https://client.example.com/hooks/orders - Network accessline 186
POST https://client.example.com/hooks/orders
skills/apidocs/SKILL.md
- Network accessline 124
<!-- Embed in any HTML page --> <script src="https://unpkg.com/@stoplight/elements/web-components.min.js"></script> - Network accessline 125
<script src="https://unpkg.com/@stoplight/elements/web-components.min.js"></script> - Network accessline 126
<link rel="stylesheet" href="https://unpkg.com/@stoplight/elements/styles.min.css">
skills/auth/SKILL.md
skills/auth/references/auth-flows.md
- Network accessline 30
1. AUTHORIZATION REQUEST: GET https://auth.example.com/authorize? - Network accessline 31
GET https://auth.example.com/authorize? - Network accessline 32
response_type=code &client_id=CLIENT_ID &redirect_uri=https://app.example.com/callback - Network accessline 33
&client_id=CLIENT_ID &redirect_uri=https://app.example.com/callback &scope=read write - Network accessline 34
&redirect_uri=https://app.example.com/callback - Network accessline 42
3. AUTHORIZATION RESPONSE: 302 Redirect → https://app.example.com/callback? - Network accessline 43
302 Redirect → https://app.example.com/callback? - Network accessline 47
4. TOKEN EXCHANGE (server-side, not in browser): POST https://auth.example.com/token - Network accessline 48
POST https://auth.example.com/token - Network accessline 51
grant_type=authorization_code &code=AUTH_CODE_VALUE &redirect_uri=https://app.example.com/callback - Network accessline 52
&code=AUTH_CODE_VALUE &redirect_uri=https://app.example.com/callback &client_id=CLIENT_ID - Network accessline 53
&redirect_uri=https://app.example.com/callback - Access to secretsline 55
[Credential-related source omitted] - Access to secretsline 59
[Credential-related source omitted] - Network accessline 89
AUTHORIZATION REQUEST (adds PKCE params): GET https://auth.example.com/authorize? - Network accessline 90
GET https://auth.example.com/authorize? - Network accessline 91
response_type=code &client_id=CLIENT_ID &redirect_uri=https://app.example.com/callback - Network accessline 92
&client_id=CLIENT_ID &redirect_uri=https://app.example.com/callback &scope=read write - Network accessline 93
&redirect_uri=https://app.example.com/callback - Network accessline 99
TOKEN EXCHANGE (sends verifier instead of secret): POST https://auth.example.com/token - Network accessline 100
POST https://auth.example.com/token - Network accessline 101
grant_type=authorization_code &code=AUTH_CODE_VALUE &redirect_uri=https://app.example.com/callback - Network accessline 102
&code=AUTH_CODE_VALUE &redirect_uri=https://app.example.com/callback &client_id=CLIENT_ID - Network accessline 103
&redirect_uri=https://app.example.com/callback - Access to secretsline 124
[Credential-related source omitted] - Network accessline 130
TOKEN REQUEST: POST https://auth.example.com/token - Network accessline 131
POST https://auth.example.com/token - Access to secretsline 136
[Credential-related source omitted] - Access to secretsline 141
[Credential-related source omitted] - Network accessline 184
STEP 1 — DEVICE CODE REQUEST: POST https://auth.example.com/device/code - Network accessline 185
POST https://auth.example.com/device/code - Network accessline 191
"device_code": "GmRhmhcxhwAzkoEqiMEg_DnyEysNkuNhszIySk9eS", "user_code": "ABCD-1234", "verification_uri": "https://example.com/activate", - Network accessline 192
"user_code": "ABCD-1234", "verification_uri": "https://example.com/activate", "verification_uri_complete": "https://example.com/activate?user_code=ABCD-1234", - Network accessline 193
"verification_uri": "https://example.com/activate", - Network accessline 194
"verification_uri_complete": "https://example.com/activate?user_code=ABCD-1234", - Network accessline 199
STEP 3 — POLLING: POST https://auth.example.com/token - Network accessline 200
POST https://auth.example.com/token - Access to secretsline 207
[Credential-related source omitted] - Network accessline 228
Payload (base64url): { "iss": "https://auth.example.com", ← Issuer - Network accessline 229
{ "iss": "https://auth.example.com", ← Issuer "sub": "user_123", ← Subject (user ID) - Network accessline 230
"iss": "https://auth.example.com", ← Issuer - Network accessline 231
"sub": "user_123", ← Subject (user ID) "aud": "https://api.example.com", ← Audience (intended recipient) "exp": 1710500400, ← Expiration (Unix timestamp) - Network accessline 232
"aud": "https://api.example.com", ← Audience (intended recipient)
skills/backup/SKILL.md
skills/cache/SKILL.md
skills/changelog/SKILL.md
- Network accessline 105
const client = createClient({ baseUrl: 'https://api.example.com', - Network accessline 106
baseUrl: 'https://api.example.com', - Network accessline 229
## Getting Help - [GitHub Issues](https://github.com/<org>/<repo>/issues) - Network accessline 230
- [GitHub Issues](https://github.com/<org>/<repo>/issues) - Network accessline 231
- [Discord](https://discord.gg/<invite>)
skills/cli/SKILL.md
- Dangerous shell operationline 187
Or add to .zshrc: eval "$(tool completion zsh)"
skills/concurrent/references/concurrency-patterns.md
- Network accessline 151
i, url := i, url // Capture loop variables g.Go(func() error { resp, err := fetch(ctx, url) - Network accessline 152
g.Go(func() error { resp, err := fetch(ctx, url) if err != nil { - Network accessline 153
resp, err := fetch(ctx, url) - Network accessline 316
// Spawn concurrent tasks let task1 = tokio::spawn(async { fetch_data("https://api.example.com/a").await - Network accessline 317
let task1 = tokio::spawn(async { fetch_data("https://api.example.com/a").await }); - Network accessline 318
fetch_data("https://api.example.com/a").await - Network accessline 321
let task2 = tokio::spawn(async { fetch_data("https://api.example.com/b").await - Network accessline 322
fetch_data("https://api.example.com/b").await - Network accessline 391
// PARALLEL: All requests start simultaneously async function fetchAll(urls: string[]): Promise<Response[]> { const promises = urls.map(url => fetch(url)); - Network accessline 392
async function fetchAll(urls: string[]): Promise<Response[]> { const promises = urls.map(url => fetch(url)); return Promise.all(promises); - Network accessline 393
const promises = urls.map(url => fetch(url)); - Network accessline 398
// PARALLEL with error tolerance: Promise.allSettled async function fetchAllSafe(urls: string[]): Promise<PromiseSettledResult<Response>[]> { const promises = urls.map(url => fetch(url)); - Network accessline 399
async function fetchAllSafe(urls: string[]): Promise<PromiseSettledResult<Response>[]> { const promises = urls.map(url => fetch(url)); return Promise.allSettled(promises); - Network accessline 400
const promises = urls.map(url => fetch(url)); - Network accessline 406
// RACE: First to complete wins async function fetchFastest(urls: string[]): Promise<Response> { return Promise.race(urls.map(url => fetch(url))); - Network accessline 407
async function fetchFastest(urls: string[]): Promise<Response> { return Promise.race(urls.map(url => fetch(url))); } - Network accessline 408
return Promise.race(urls.map(url => fetch(url))); - Network accessline 411
// ANY: First to SUCCEED wins (ignores rejections until all fail) async function fetchAny(urls: string[]): Promise<Response> { return Promise.any(urls.map(url => fetch(url))); - Network accessline 412
async function fetchAny(urls: string[]): Promise<Response> { return Promise.any(urls.map(url => fetch(url))); } - Network accessline 413
return Promise.any(urls.map(url => fetch(url))); - Network accessline 446
// Usage: process 100 URLs, max 5 concurrent const results = await withConcurrencyLimit( urls.map(url => () => fetch(url).then(r => r.json())), - Network accessline 447
const results = await withConcurrencyLimit( urls.map(url => () => fetch(url).then(r => r.json())), 5 - Network accessline 448
urls.map(url => () => fetch(url).then(r => r.json())), - Network accessline 512
| Sequential await in loop | 10 requests take | Use Promise.all | | for (const url of urls) { | 10x time instead | for parallel | | await fetch(url); | of 1x | execution | - Network accessline 513
| for (const url of urls) { | 10x time instead | for parallel | | await fetch(url); | of 1x | execution | | } | | | - Network accessline 514
| await fetch(url); | of 1x | execution | - Network accessline 560
# Gather: run coroutines concurrently async def fetch_all(urls: list[str]) -> list[dict]: async with aiohttp.ClientSession() as session: - Network accessline 561
async def fetch_all(urls: list[str]) -> list[dict]: async with aiohttp.ClientSession() as session: tasks = [fetch(session, url) for url in urls] - Network accessline 562
async with aiohttp.ClientSession() as session: - Network accessline 563
tasks = [fetch(session, url) for url in urls] - Network accessline 566
async def fetch(session: aiohttp.ClientSession, url: str) -> dict: - Network accessline 574
async def limited_fetch(session, url): async with semaphore: return await fetch(session, url) - Network accessline 576
return await fetch(session, url) - Network accessline 578
async with aiohttp.ClientSession() as session: - Network accessline 667
| | | coroutines | | Blocking call in async | Event loop blocked, | Use | | (calling requests.get() in | all tasks stall | aiohttp instead | - Network accessline 668
| Blocking call in async | Event loop blocked, | Use | | (calling requests.get() in | all tasks stall | aiohttp instead | | async function) | | of requests. Or | - Network accessline 669
| (calling requests.get() in | all tasks stall | aiohttp instead | - Network accessline 772
@pytest.mark.asyncio async def test_concurrent_fetch(): results = await fetch_all(["http://example.com/1", "http://example.com/2"]) - Network accessline 773
async def test_concurrent_fetch(): results = await fetch_all(["http://example.com/1", "http://example.com/2"]) assert len(results) == 2 - Network accessline 774
results = await fetch_all(["http://example.com/1", "http://example.com/2"])
skills/config/SKILL.md
skills/cost/SKILL.md
skills/deploy/SKILL.md
skills/distributed/SKILL.md
- Network accessline 230
# Test distributed system behavior docker compose up -d && sleep 5 curl -s http://localhost:2379/health # etcd health - Network accessline 231
docker compose up -d && sleep 5 curl -s http://localhost:2379/health # etcd health redis-cli cluster info | grep cluster_state - Network accessline 232
curl -s http://localhost:2379/health # etcd health
skills/django/SKILL.md
skills/docker/SKILL.md
- Dangerous shell operationline 125
| (rm -rf /var/cache/apk/*) | | - Network accessline 180
| Heredocs | RUN <<EOF | | | apt-get update | | | apt-get install -y curl | - Network accessline 181
| | apt-get update | | | apt-get install -y curl | | | EOF | - Network accessline 182
| | apt-get install -y curl | - Access to secretsline 243
[Credential-related source omitted]
skills/incident/SKILL.md
skills/infra/SKILL.md
skills/k8s/SKILL.md
skills/k8s/references/k8s-patterns.md
- Network accessline 353
env: - name: EXTERNAL_API_URL value: "http://localhost:9090" # App talks to ambassador - Network accessline 355
value: "http://localhost:9090" # App talks to ambassador - Network accessline 361
env: - name: UPSTREAM_URL value: "https://external-api.example.com" - Network accessline 362
- name: UPSTREAM_URL value: "https://external-api.example.com" - name: RETRY_COUNT - Network accessline 363
value: "https://external-api.example.com"
skills/laravel/SKILL.md
skills/logging/SKILL.md
- Access to secretsline 83
[Credential-related source omitted]
skills/micro/references/microservices-patterns.md
- Access to secretsline 748
[Credential-related source omitted]
skills/network/SKILL.md
- Dangerous shell operationline 49
sudo certbot certonly --webroot \ - Dangerous shell operationline 52
sudo certbot certonly --dns-<provider> \ - Network accessline 106
# Network diagnostics curl -w "@curl-format.txt" -o /dev/null -s http://localhost:8080/health - Network accessline 107
curl -w "@curl-format.txt" -o /dev/null -s http://localhost:8080/health - Network accessline 142
STOP when FIRST of: - All components configured and validated - curl -sI https://{domain} returns 200 + HSTS - Network accessline 143
- All components configured and validated - curl -sI https://{domain} returns 200 + HSTS - User requests stop - Network accessline 144
- curl -sI https://{domain} returns 200 + HSTS
skills/nextjs/SKILL.md
skills/opensource/SKILL.md
- Access to secretsline 20
[Credential-related source omitted]
skills/optimize/SKILL.md
- Network accessline 157
# Profile and benchmark npm run build -- --profile npx lighthouse http://localhost:3000 --output=json - Network accessline 158
npm run build -- --profile npx lighthouse http://localhost:3000 --output=json pytest --benchmark-only - Network accessline 159
npx lighthouse http://localhost:3000 --output=json
skills/optimize/references/autonomous-loop-protocol.md
skills/pay/SKILL.md
skills/pentest/SKILL.md
- Network accessline 22
# Endpoint discovery curl -s <target>/robots.txt - Network accessline 23
curl -s <target>/robots.txt - Network accessline 24
curl -s <target>/sitemap.xml - Network accessline 26
curl -sI <target> | grep -iE "server|x-powered" - Dangerous shell operationline 122
2. NEVER use destructive payloads (DROP TABLE, rm -rf).
skills/perf/SKILL.md
- Network accessline 17
node --cpu-prof --cpu-prof-dir=./profiles app.js # Go CPU profile go tool pprof http://localhost:6060/debug/pprof/profile - Network accessline 18
# Go CPU profile go tool pprof http://localhost:6060/debug/pprof/profile # Python memory - Network accessline 19
go tool pprof http://localhost:6060/debug/pprof/profile
skills/postgres/SKILL.md
skills/prompt/SKILL.md
skills/rag/SKILL.md
skills/redis/SKILL.md
skills/secrets/SKILL.md
- Access to secretsline 5
[Credential-related source omitted] - Access to secretsline 22
[Credential-related source omitted] - Access to secretsline 23
[Credential-related source omitted] - Access to secretsline 36
[Credential-related source omitted] - Access to secretsline 60
[Credential-related source omitted] - Access to secretsline 67
[Credential-related source omitted] - Access to secretsline 68
[Credential-related source omitted] - Access to secretsline 69
[Credential-related source omitted] - Access to secretsline 72
[Credential-related source omitted] - Access to secretsline 73
[Credential-related source omitted] - Access to secretsline 77
[Credential-related source omitted] - Network accessline 112
cat >> .pre-commit-config.yaml << 'EOF' repos: - repo: https://github.com/gitleaks/gitleaks - Network accessline 113
repos: - repo: https://github.com/gitleaks/gitleaks rev: v8.18.0 - Network accessline 114
- repo: https://github.com/gitleaks/gitleaks - Access to secretsline 127
[Credential-related source omitted] - Access to secretsline 144
[Credential-related source omitted] - Access to secretsline 153
[Credential-related source omitted]
skills/secure/SKILL.md
- Access to secretsline 23
[Credential-related source omitted]
skills/secure/references/security-workflow.md
skills/seo/SKILL.md
- Network accessline 20
# Check for sitemap and robots.txt curl -sf https://example.com/sitemap.xml | head -5 - Network accessline 21
curl -sf https://example.com/sitemap.xml | head -5 - Network accessline 22
curl -sf https://example.com/robots.txt - Network accessline 24
# Lighthouse SEO audit npx lighthouse https://example.com \ - Network accessline 25
npx lighthouse https://example.com \
skills/setup/SKILL.md
- Access to secretsline 141
[Credential-related source omitted]
skills/ship/SKILL.md
- Access to secretsline 31
[Credential-related source omitted] - Network accessline 54
| Target | title + body | version + tag | config | | Ship | git push; gh pr create | git tag; gh release | fly deploy | | Verify | gh pr checks --watch | gh release view | curl health | - Network accessline 55
| Ship | git push; gh pr create | git tag; gh release | fly deploy | | Verify | gh pr checks --watch | gh release view | curl health | | Rollback | gh pr close | git tag -d + push | fly rollback | - Network accessline 56
| Verify | gh pr checks --watch | gh release view | curl health |
skills/ship/references/ship-workflow.md
- Access to secretsline 13
[Credential-related source omitted] - Access to secretsline 39
[Credential-related source omitted] - Network accessline 151
T+0: Deploy complete [ ] Deployment succeeded (no errors in deploy output) [ ] Health endpoint responding: curl <url>/health - Network accessline 152
[ ] Deployment succeeded (no errors in deploy output) [ ] Health endpoint responding: curl <url>/health [ ] Application logs show startup messages - Network accessline 153
[ ] Health endpoint responding: curl <url>/health - Network accessline 193
# Verify rollback curl <url>/health - Network accessline 194
curl <url>/health - Network accessline 207
# .godmode/ship-log.tsv timestamp branch type target version status pr_url deploy_url commit_sha notes 2024-01-15T14:30:00Z feat/rate-limiter PR main - CREATED https://github.com/org/repo/pull/123 - abc1234 "Awaiting review" - Network accessline 208
timestamp branch type target version status pr_url deploy_url commit_sha notes 2024-01-15T14:30:00Z feat/rate-limiter PR main - CREATED https://github.com/org/repo/pull/123 - abc1234 "Awaiting review" 2024-01-15T16:00:00Z feat/rate-limiter - Network accessline 209
2024-01-15T14:30:00Z feat/rate-limiter PR main - CREATED https://github.com/org/repo/pull/123 - abc1234 "Awaiting review" - Network accessline 210
2024-01-15T16:00:00Z feat/rate-limiter PR main - MERGED https://github.com/org/repo/pull/123 - def5678 "Approved by 2 reviewers" - Network accessline 211
2024-01-15T16:30:00Z main DEPLOY staging v1.2.3 SUCCESS - https://staging.example.com ghi9012 "Smoke tests pass" - Network accessline 212
2024-01-15T17:00:00Z main DEPLOY production v1.2.3 SUCCESS - https://example.com ghi9012 "15 min monitoring: all clear" - Network accessline 213
2024-01-16T09:15:00Z hotfix/auth-fix DEPLOY production v1.2.4 ROLLED_BACK - https://example.com jkl3456 "Error rate spike at T+7, reverted to v1.2.3"
skills/slo/SKILL.md
skills/stdio/SKILL.md
- Network accessline 108
[rtk](https://github.com/rtk-ai/rtk) is a separate Rust binary that
skills/team/SKILL.md
- Network accessline 31
- max_agents=3 success_criterion: | # shell, exits 0 when team succeeds npm test && npm run lint && curl -fsS localhost:3000/health - Network accessline 33
npm test && npm run lint && curl -fsS localhost:3000/health - Network accessline 120
success_criterion: | npm test && npm run lint && \ curl -fsS localhost:3000/health > /dev/null - Network accessline 122
curl -fsS localhost:3000/health > /dev/null
skills/terse/SKILL.md
skills/tutorial/SKILL.md
skills/verify/SKILL.md
skills/webperf/SKILL.md
- Network accessline 21
# Lighthouse audit (median of 3 runs) npx lighthouse https://example.com \ - Network accessline 22
npx lighthouse https://example.com \ - Network accessline 92
# Subset fonts npx glyphhanger https://example.com \ - Network accessline 93
npx glyphhanger https://example.com \ - Network accessline 105
npx critical https://example.com \
tests/accuracy-guard.sh
- Executable scriptline 1
#!/usr/bin/env bash
tests/adapter-smoke.sh
- Executable scriptline 1
#!/usr/bin/env bash - Dangerous shell operationline 14
# pi's installer runs `rm -rf "$PREFIX/godmode"` and pi's default PREFIX - Dangerous shell operationline 83
trap 'rm -rf -- "$TMP"' EXIT - Dangerous shell operationline 130
# installer defaults (pi's installer rm -rf's "$PREFIX/godmode" and its
tests/models-routing.sh
- Executable scriptline 1
#!/usr/bin/env bash - Dangerous shell operationline 17
cleanup() { rm -rf "$TMP"; } - Dangerous shell operationline 115
rm -f "$HOME/.config/godmode/models.json" - Dangerous shell operationline 134
rm -f "$REPO/godmode.models.json" - Dangerous shell operationline 151
envrun "$REPO" 'GODMODE_MODEL_BUILD=x; rm -rf /' resolve build - Dangerous shell operationline 244
rm -f "$TMP/copy/godmode.models.json" - Dangerous shell operationline 296
rm -f "$REPO/godmode.models.json" "$HOME/.config/godmode/models.json" - Dangerous shell operationline 297
OUT="$(cd "$REPO" && env -i PATH="$PATH" HOME="$HOME" GODMODE_MODEL_BUILD='x; rm -rf /' bash "$RUNNER" build 2>"$TMP/err")" && RC=0 || RC=$? - Dangerous shell operationline 298
GODMODE_MODEL_BUILD='x; rm -rf /' bash "$RUNNER" build 2>"$TMP/err")" && RC=0 || RC=$? - Dangerous shell operationline 341
rm -f "$REPO/godmode.models.json"
tests/route-eval.sh
- Executable scriptline 1
#!/usr/bin/env bash
tests/terse-bench.sh
- Executable scriptline 1
#!/usr/bin/env bash
tests/timing-bench.sh
tests/token-bench.sh
- Executable scriptline 1
#!/usr/bin/env bash
tests/validate-analyze.sh
tests/validate-prose-count.sh
tests/validate-skills.sh
- Executable scriptline 1
#!/usr/bin/env bash
tests/validate-structure.sh
- Executable scriptline 1
#!/usr/bin/env bash - Network accessline 235
case "$link_path" in http://*|https://*|mailto:*|"#"*|"") - Network accessline 236
http://*|https://*|mailto:*|"#"*|"") - Network accessline 265
while IFS= read -r link_path; do case "$link_path" in http://*|https://*|mailto:*|"#"*|"") - Network accessline 266
case "$link_path" in http://*|https://*|mailto:*|"#"*|"") continue - Network accessline 267
http://*|https://*|mailto:*|"#"*|"")
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 500 facts
- Executable script in code of a file that runs.godmode/measure-quality-v2.sh:1High confidence
- Executable script in code of a file that runs.godmode/measure-quality-v3.sh:1High confidence
- Executable script in code of a file that runs.godmode/measure-quality-v4.sh:1High confidence
- Network access in code of a file that runs.godmode/measure-quality-v4.sh:16High confidence
- Executable script in code of a file that runs.godmode/measure-quality.sh:1High confidence
- Network access in prose of documentationCHANGELOG.md:5Low confidence
- Network access in prose of documentationCHANGELOG.md:6Low confidence
- Network access in prose of documentationPROGRESS.md:86Low confidence
- Network access in prose of documentationPROGRESS.md:87Low confidence
- Network access in prose of documentationPROGRESS.md:88Low confidence
- Network access in prose of documentationPROGRESS.md:235Low confidence
- Network access in prose of documentationPROGRESS.md:236Low confidence
- Network access in prose of documentationPROGRESS.md:237Low confidence
- Access to secrets in prose of documentation: a variable, placeholder or call, not a stored valuePROGRESS.md:273Low confidence
- Dangerous shell operation in prose of documentationPROGRESS.md:301Low confidence
- Dangerous shell operation in prose of documentationPROGRESS.md:316Low confidence
- Network access in prose of documentationPROGRESS.md:323Low confidence
- Network access in prose of documentationPROGRESS.md:324Low confidence
- Network access in prose of documentationPROGRESS.md:378Low confidence
- Network access in prose of documentationPROGRESS.md:379Low confidence
- Network access in prose of documentationPROGRESS.md:380Low confidence
- Network access in prose of documentationPROGRESS.md:409Low confidence
- Network access in prose of documentationPROGRESS.md:410Low confidence
- Network access in prose of documentationPROGRESS.md:411Low confidence
- Network access in prose of documentationREADME.md:9Low confidence
- Network access in prose of documentationREADME.md:10Low confidence
- Network access in prose of documentationREADME.md:11Low confidence
- Network access in prose of documentationREADME.md:12Low confidence
- Network access in prose of documentationREADME.md:13Low confidence
- Network access in prose of documentationREADME.md:14Low confidence
- Network access in prose of documentationREADME.md:15Low confidence
- Network access in prose of documentationREADME.md:16Low confidence
- Network access in prose of documentationREADME.md:17Low confidence
- Network access in prose of documentationREADME.md:18Low confidence
- Network access in prose of documentationREADME.md:19Low confidence
- Network access in prose of documentationREADME.md:32Low confidence
- Network access in prose of documentationREADME.md:350Low confidence
- Network access in prose of documentationREADME.md:351Low confidence
- Network access in prose of documentationREADME.md:408Low confidence
- Network access in prose of documentationREADME.md:409Low confidence
- Network access in prose of documentationREADME.md:410Low confidence
- Dangerous shell operation in prose of documentationREADME.md:413Low confidence
- Network access in prose of documentationREADME.md:441Low confidence
- Network access in prose of documentationREADME.md:443Low confidence
- Network access in prose of documentationREADME.md:571Low confidence
- Network access in prose of documentationREADME.md:597Low confidence
- Network access in prose of documentationREADME.md:598Low confidence
- Network access in prose of documentationREADME.md:615Low confidence
- Network access in prose of documentationREADME.md:617Low confidence
- Network access in prose of documentationREADME.md:631Low confidence
and 450 more
Only the first 500 facts are listed.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Manifest .claude-plugin/marketplace.json | .claude/skills/<skill-name>/ |
| Codex | Native | Manifest AGENTS.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Native | Path GEMINI.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.