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JanYork/llm-wiki-cli
Agent-driven proactive memory CLI for AI agents — autonomously recall, maintain, and evolve persistent, source-grounded knowledge across sessions.
History
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Verified commit e1be6ab30e83947e4b0dba97ba910acfe3bd9821
git clone --filter=blob:none --no-checkout https://github.com/JanYork/llm-wiki-cli.git .hotskills/janyork-llm-wiki-cli && git -C .hotskills/janyork-llm-wiki-cli checkout --detach e1be6ab30e83947e4b0dba97ba910acfe3bd9821
# Copy each selected skill directory from .hotskills/janyork-llm-wiki-cli into .claude/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/JanYork/llm-wiki-cli.git .hotskills/janyork-llm-wiki-cli && git -C .hotskills/janyork-llm-wiki-cli checkout --detach e1be6ab30e83947e4b0dba97ba910acfe3bd9821
# Copy each selected skill directory from .hotskills/janyork-llm-wiki-cli into .agents/skills/<skill-name>/Heat
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Individual skills in this repository
- using-book
integrations/claude-lwc/skills/using-book - using-discussion
integrations/claude-lwc/skills/using-discussion - using-lwc
integrations/claude-lwc/skills/using-lwc - using-plan
integrations/claude-lwc/skills/using-plan - using-practice
integrations/claude-lwc/skills/using-practice - using-sync
integrations/claude-lwc/skills/using-sync - using-todo
integrations/claude-lwc/skills/using-todo - using-tutor
integrations/claude-lwc/skills/using-tutor - using-book
integrations/codex-lwc/skills/using-book - using-discussion
integrations/codex-lwc/skills/using-discussion - using-lwc
integrations/codex-lwc/skills/using-lwc - using-plan
integrations/codex-lwc/skills/using-plan - using-practice
integrations/codex-lwc/skills/using-practice - using-sync
integrations/codex-lwc/skills/using-sync - using-todo
integrations/codex-lwc/skills/using-todo - using-tutor
integrations/codex-lwc/skills/using-tutor - using-book
integrations/pi-lwc/skills/using-book - using-discussion
integrations/pi-lwc/skills/using-discussion - using-lwc
integrations/pi-lwc/skills/using-lwc - using-plan
integrations/pi-lwc/skills/using-plan - using-practice
integrations/pi-lwc/skills/using-practice - using-sync
integrations/pi-lwc/skills/using-sync - using-todo
integrations/pi-lwc/skills/using-todo - using-tutor
integrations/pi-lwc/skills/using-tutor - using-book
skills/using-book - using-discussion
skills/using-discussion - using-lwc
skills/using-lwc - using-plan
skills/using-plan - using-practice
skills/using-practice - using-sync
skills/using-sync - using-todo
skills/using-todo - using-tutor
skills/using-tutor
How it works
using-book
When your agent uses it
Use to import, prepare, read, or synthesize a complete supported book in verified source order. Skip ordinary document lookup.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
652 tokensWhen the skill is activated
Reference documents
29,647 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Enter or recover
- Ordered reading
Scripts executed separately
../using-lwc/scripts/bootstrap.sh../using-lwc/scripts/install-lwc.sh
Files
../../.claude-plugin/marketplace.jsonasset417 bytes../../.claude-plugin/plugin.jsonasset515 bytes../../.mcp.jsonasset125 bytes../../hooks/hooks.jsonasset2,254 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesagents/openai.yamlasset207 bytes../using-discussion/SKILL.mddoc4,895 bytes../using-discussion/agents/openai.yamlasset277 bytes../using-lwc/SKILL.mddoc8,797 bytes../using-lwc/agents/openai.yamlasset258 bytes../using-lwc/assets/global-purpose.mddoc518 bytes../using-lwc/assets/global-schema.mddoc1,135 bytes../using-lwc/references/active-memory.mddoc3,292 bytes../using-lwc/references/agent-onboarding.mddoc5,709 bytes../using-lwc/references/code-graph.mddoc4,161 bytes../using-lwc/references/core-memory.mddoc2,099 bytes../using-lwc/references/document-conversion.mddoc1,762 bytes../using-lwc/references/document-graph.mddoc2,183 bytes../using-lwc/references/llm-wiki.mddoc11,985 bytes../using-lwc/references/memory-archive.mddoc2,226 bytes../using-lwc/references/memory-policy.mddoc25,878 bytes../using-lwc/references/office-reading.mddoc1,971 bytes../using-lwc/references/operations-manual.mddoc21,711 bytes../using-lwc/references/recovery-maintenance.mddoc2,182 bytes../using-lwc/references/strong-context.mddoc1,967 bytes../using-lwc/references/team-memory.mddoc2,748 bytes../using-lwc/references/temporal-memory.mddoc3,266 bytes../using-lwc/references/trigger-playbook.mddoc3,239 bytes../using-lwc/references/word-graph.mddoc1,910 bytes../using-lwc/scripts/bootstrap.shruns9,959 bytes../using-lwc/scripts/install-lwc.shruns4,503 bytes../using-plan/SKILL.mddoc3,264 bytes../using-plan/agents/openai.yamlasset195 bytes../using-practice/SKILL.mddoc3,117 bytes../using-practice/agents/openai.yamlasset214 bytes../using-sync/SKILL.mddoc10,148 bytes../using-sync/agents/openai.yamlasset206 bytes../using-todo/SKILL.mddoc2,036 bytes../using-todo/agents/openai.yamlasset195 bytes../using-tutor/SKILL.mddoc5,597 bytes../using-tutor/agents/openai.yamlasset221 bytes../../../codex-lwc/hooks/hooks.jsonasset1,920 bytes
Read SKILL.md
# Using Book
Use Book when the user wants whole-book absorption, ordered reading, or recovery of an
active Book lease. Skip ordinary lookup, summarization of supplied excerpts, and
unsupported HTML, scanned/OCR PDF, MOBI, or AZW3 input.
Book is a **silent control plane**. Do not narrate status checks, leases, locators,
coverage commits, source lookup, or other routine tool calls. Never inspect its SQLite,
plugin files, or runtime binaries and never probe CLI help for routine arguments. Give
the user only the requested reading result, progress that materially affects them, or
a concise actionable failure.
## Enter or recover
View the complete source on GitHubusing-discussion
When your agent uses it
Silently persist and recover visible multi-turn clarification, interviews, design Q/A and brainstorming, regardless of which Skill or prompt starts them. Use for ongoing discussion, not ordinary single-answer chat.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
982 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
- Local adjustment and completion
Files
SKILL.mdcore4,895 bytesagents/openai.yamlasset277 bytes
Read SKILL.md
# Persistent discussion
When a user requests or enters iterative clarification/brainstorming, use this
protocol alongside the active domain Skill (including grill-me, grilling or
superpowers). No name allowlist. Do not initiate questions merely to use it.
Reuse the authorized project SQLite and current Hook's opaque agent context.
Never manufacture another context, initialize a missing Wiki, or install tooling
solely to record. An unavailable store is a capture limitation, not permission to
pretend the conversation is saved. Without a resolved context, disclose the gap.
Use `lwc contract discussion` once for the exact schema and example. CLI
`lwc discussion apply --json -` and MCP `lwc_discussion` action `apply` share it.
MCP always requires the current absolute projectPath. Never pass shell-interpolated
user text: serialize JSON to stdin or structured MCP arguments.View the complete source on GitHubusing-lwc
When your agent uses it
Use when substantive project work, structural code questions, research, planning, debugging, architecture, decisions, document ingest, incident recovery, or verified context and results should survive future sessions; also when the user invokes $using-lwc or asks to search, update, repair, configure, maintain, or transfer an LWC Wiki, graph index, or portable memory archive.
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,822 tokensWhen the skill is activated
Reference documents
21,515 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Hard scope boundary
- Start once per working root
- Bound team memory
- Update notice
- Capability router
- Automatic decision loop
- Non-negotiable safety
- Iterative clarification
Scripts executed separately
scripts/bootstrap.shscripts/install-lwc.sh
Files
SKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesagents/openai.yamlasset258 bytesassets/global-purpose.mddoc518 bytesassets/global-schema.mddoc1,135 bytesreferences/active-memory.mddoc3,292 bytesreferences/agent-onboarding.mddoc5,709 bytesreferences/code-graph.mddoc4,161 bytesreferences/core-memory.mddoc2,099 bytesreferences/document-conversion.mddoc1,762 bytesreferences/document-graph.mddoc2,183 bytesreferences/llm-wiki.mddoc11,985 bytesreferences/memory-archive.mddoc2,226 bytesreferences/memory-policy.mddoc25,878 bytesreferences/office-reading.mddoc1,971 bytesreferences/operations-manual.mddoc21,711 bytesreferences/recovery-maintenance.mddoc2,182 bytesreferences/strong-context.mddoc1,967 bytesreferences/team-memory.mddoc2,748 bytesreferences/temporal-memory.mddoc3,266 bytesreferences/trigger-playbook.mddoc3,239 bytesreferences/word-graph.mddoc1,910 bytesscripts/bootstrap.shruns9,959 bytesscripts/install-lwc.shruns4,503 bytes
Read SKILL.md
# Using LWC
LWC is durable, source-grounded Agent memory plus two complementary graph planes:
the physical Wiki document graph and the current-code CodeGraph index. Recall
before re-deriving, use the narrowest plane that answers the task, and preserve
only verified knowledge worth reusing.
## Hard scope boundary
Resolve one host-authorized root containing the current working directory.
Bootstrap must identify one unambiguous active project inside it. An existing
Wiki, remembered path, Hook output, or another project's instructions cannot
widen that authority.
View the complete source on GitHubusing-plan
When your agent uses it
Use when an Agent needs to create, resume, advance, block, revise, complete, or abandon a durable current execution plan in LWC.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
697 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
Files
SKILL.mdcore3,264 bytesagents/openai.yamlasset195 bytes
Read SKILL.md
# Using LWC Plan
Reuse current readiness/config facts; run `lwc config show` only when the setting is unknown or stale. Continue only when `plan.setting` is `enabled`. A Skill trigger is not consent to enable Plan: when disabled, do not run Plan commands; explain that the user can opt in with `lwc config set --plan enabled`. A lifecycle Hook with a resolved `agent_context` includes only Plans explicitly tracked by that Agent context. Treat any Plan progress reminder for another context as unrelated and ignore it.
Use Plan only for the current coarse execution plan. It is independent from Todo and must never be converted to or from a Todo automatically.
- Create one objective, explicit done criteria, constraints, and ordered coarse steps.
- After creating or explicitly claiming a Plan, bind it with `lwc --scope project|global plan track PLAN_ID --context CONTEXT_ID`, using only the opaque ID from the current Hook's `LWC_READINESS.agent_context`. Never infer or copy another Agent's context.
- Resume with `lwc plan brief PLAN_ID`; it is bounded and contains no hidden reasoning.
- Treat Hook `plan.tracking` and `plan.additional_trackings` as continuity cues for this context only. Follow the current step and planned next step, but call `brief` before any mutation.
- Use exact, idempotent `plan untrack PLAN_ID --context CONTEXT_ID` before deliberately switching a context to another Plan; a conflicting `track` never replaces the current association.
- Before mutation, inspect the current revision and pass `--if-revision`.
- `advance` completes the focal step with a result and explicitly selects the next pending step.
- `block` records a concrete blocker. `revise` requires a reason and CAS revision. Inspect `lwc contract plan-revise` for its full schema and example.View the complete source on GitHubusing-practice
When your agent uses it
Use when creating or recovering a durable paper, attempt, grade, flashcard, scheduled review, mistake history, or goal-evidence record. Skip Tutor comprehension checks, lightweight diagnostics, and disposable questions.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
650 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
- Enter or recover
- Durable flow
Files
SKILL.mdcore3,117 bytesSKILL.mdcore3,117 bytesagents/openai.yamlasset214 bytes
Read SKILL.md
# Using Practice
Practice preserves assessed work across context loss. Flashcards are Practice items.
It is a **silent control plane**: Do not narrate status, IDs, saves, grading writes, or
scheduler reads. Show only questions, answers, feedback, and meaningful progress.
Never inspect SQLite, plugin or runtime files, command history, or CLI help. Never
reread Skill files or text-search for state. Use only the public commands here.
## Enter or recover
Do not load Practice for a Tutor A/B reply, ordinary comprehension check, or lightweight
diagnostic. Enter only when durable work named in the description will actually be
created or recovered.View the complete source on GitHubusing-sync
When your agent uses it
Use when an Agent needs to synchronize LWC Wiki stores across SSH hosts, resume or abort an interrupted Sync session, or resolve semantic Sync conflicts safely.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
2,115 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
- Continue or stop a session
- Resolve semantic conflicts
Files
SKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesagents/openai.yamlasset206 bytes
Read SKILL.md
# Using LWC Sync
Run Sync through the audited CLI only:
```text
lwc sync HOST [ABS_DIRECTORY] --mode merge|pull|push
```
Every start, resume, resolve, abort, pull, push, or merge can publish or change
durable data. Before the first execution in a bounded workflow, present a safety
notice containing the exact command, target host, absolute directory, scope, mode, affected stores, impact, risks, recovery path, and reversibility.
An explicit user instruction that already names or unambiguously accepts these facts is authorization; do not ask the human to repeat it.
One authorization covers the bounded workflow while its host, directory, scope,View the complete source on GitHubusing-todo
When your agent uses it
Use when an Agent needs to capture, find, update, finish, cancel, or reopen durable deferred work in LWC.
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
468 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
Files
SKILL.mdcore2,036 bytesagents/openai.yamlasset195 bytes
Read SKILL.md
# Using LWC Todo
First run `lwc config show`. Continue only when `todo.setting` is `enabled`. A Skill trigger is not consent to enable Todo: when disabled, do not run Todo commands; explain that the user can opt in with `lwc config set --todo enabled`. A lifecycle Hook with a resolved `agent_context` includes only Todos explicitly tracked by that Agent context. Treat any Todo progress reminder for another context as unrelated and ignore it.
Use Todo only for independent future or deferred work. It is not the current execution plan and must never be converted to or from a Plan automatically.
- Add: `lwc todo add TITLE --tag TAG --cue TEXT --target-at RFC3339 --request-id ID`.
- After adding or explicitly claiming a Todo, bind it with `lwc --scope project|global todo track TODO_ID --context CONTEXT_ID`, using only the opaque ID from the current Hook's `LWC_READINESS.agent_context`. One context may track multiple Todos; never infer or copy another Agent's context.
- Add one direct child with `--parent TODO_ID`. Parentage is organization only: it does not cascade completion, create dependencies, or turn children into Plan steps.
- Discover: `lwc todo list --limit 20`, `lwc todo list --parent TODO_ID`, or `lwc todo search QUERY --limit 20`.
- Inspect before mutation: `lwc todo show TODO_ID`; pass its revision with `--if-revision`.
- Reschedule with `todo update ... --target-at RFC3339`; remove the time with `--clear-target-at`.
- Finish or cancel with a specific result/reason; use `reopen` before changing a closed Todo.
- Stop reminders with exact, idempotent `todo untrack TODO_ID --context CONTEXT_ID`; this removes only that context/Todo pair.View the complete source on GitHubusing-tutor
When your agent uses it
Use when starting or changing teacher-led learning, or recovering Tutor after context loss or a state error. Skip bound steady-state replies and ordinary factual questions.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
1,398 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
- Silent control plane
- Intent gate
- Turn state
- Known public shapes
- Teaching
- Learner model
Files
SKILL.mdcore5,597 bytesSKILL.mdcore5,597 bytesagents/openai.yamlasset221 bytes
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# Using Tutor
Act as **Prometheus**—equal, objective, scientific, concrete, and non-sycophantic.
Correct errors from evidence or first principles; never flatter, shame, or agree performatively.
## Silent control plane
Tutor is a **silent control plane**.
- Do not narrate Skills, commands, status, recovery, IDs, JSON, or persistence; one
sentence only at phase changes, meaningful waits, or multi-step batches.
- Never inspect SQLite, plugin/runtime/Skill files or CLI help; never text-search state.
- `$using-tutor` is control text and must not be recorded as a turn.
View the complete source on GitHubusing-book
When your agent uses it
Use to import, prepare, read, or synthesize a complete supported book in verified source order. Skip ordinary document lookup.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
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
- Enter or recover
- Ordered reading
Files
SKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesagents/openai.yamlasset207 bytes
Read SKILL.md
# Using Book
Use Book when the user wants whole-book absorption, ordered reading, or recovery of an
active Book lease. Skip ordinary lookup, summarization of supplied excerpts, and
unsupported HTML, scanned/OCR PDF, MOBI, or AZW3 input.
Book is a **silent control plane**. Do not narrate status checks, leases, locators,
coverage commits, source lookup, or other routine tool calls. Never inspect its SQLite,
plugin files, or runtime binaries and never probe CLI help for routine arguments. Give
the user only the requested reading result, progress that materially affects them, or
a concise actionable failure.
## Enter or recover
View the complete source on GitHubusing-discussion
When your agent uses it
Silently persist and recover visible multi-turn clarification, interviews, design Q/A and brainstorming, regardless of which Skill or prompt starts them. Use for ongoing discussion, not ordinary single-answer chat.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
982 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
- Local adjustment and completion
Files
SKILL.mdcore4,895 bytesagents/openai.yamlasset277 bytes
Read SKILL.md
# Persistent discussion
When a user requests or enters iterative clarification/brainstorming, use this
protocol alongside the active domain Skill (including grill-me, grilling or
superpowers). No name allowlist. Do not initiate questions merely to use it.
Reuse the authorized project SQLite and current Hook's opaque agent context.
Never manufacture another context, initialize a missing Wiki, or install tooling
solely to record. An unavailable store is a capture limitation, not permission to
pretend the conversation is saved. Without a resolved context, disclose the gap.
Use `lwc contract discussion` once for the exact schema and example. CLI
`lwc discussion apply --json -` and MCP `lwc_discussion` action `apply` share it.
MCP always requires the current absolute projectPath. Never pass shell-interpolated
user text: serialize JSON to stdin or structured MCP arguments.View the complete source on GitHubusing-lwc
When your agent uses it
Use when substantive project work, structural code questions, research, planning, debugging, architecture, decisions, document ingest, incident recovery, or verified context and results should survive future sessions; also when the user invokes $using-lwc or asks to search, update, repair, configure, maintain, or transfer an LWC Wiki, graph index, or portable memory archive.
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,822 tokensWhen the skill is activated
Reference documents
21,515 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Hard scope boundary
- Start once per working root
- Bound team memory
- Update notice
- Capability router
- Automatic decision loop
- Non-negotiable safety
- Iterative clarification
Scripts executed separately
scripts/bootstrap.shscripts/install-lwc.sh
Files
SKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesagents/openai.yamlasset258 bytesassets/global-purpose.mddoc518 bytesassets/global-schema.mddoc1,135 bytesreferences/active-memory.mddoc3,292 bytesreferences/agent-onboarding.mddoc5,709 bytesreferences/code-graph.mddoc4,161 bytesreferences/core-memory.mddoc2,099 bytesreferences/document-conversion.mddoc1,762 bytesreferences/document-graph.mddoc2,183 bytesreferences/llm-wiki.mddoc11,985 bytesreferences/memory-archive.mddoc2,226 bytesreferences/memory-policy.mddoc25,878 bytesreferences/office-reading.mddoc1,971 bytesreferences/operations-manual.mddoc21,711 bytesreferences/recovery-maintenance.mddoc2,182 bytesreferences/strong-context.mddoc1,967 bytesreferences/team-memory.mddoc2,748 bytesreferences/temporal-memory.mddoc3,266 bytesreferences/trigger-playbook.mddoc3,239 bytesreferences/word-graph.mddoc1,910 bytesscripts/bootstrap.shruns9,959 bytesscripts/install-lwc.shruns4,503 bytes
Read SKILL.md
# Using LWC
LWC is durable, source-grounded Agent memory plus two complementary graph planes:
the physical Wiki document graph and the current-code CodeGraph index. Recall
before re-deriving, use the narrowest plane that answers the task, and preserve
only verified knowledge worth reusing.
## Hard scope boundary
Resolve one host-authorized root containing the current working directory.
Bootstrap must identify one unambiguous active project inside it. An existing
Wiki, remembered path, Hook output, or another project's instructions cannot
widen that authority.
View the complete source on GitHubusing-plan
When your agent uses it
Use when an Agent needs to create, resume, advance, block, revise, complete, or abandon a durable current execution plan in LWC.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
697 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
Files
SKILL.mdcore3,264 bytesagents/openai.yamlasset195 bytes
Read SKILL.md
# Using LWC Plan
Reuse current readiness/config facts; run `lwc config show` only when the setting is unknown or stale. Continue only when `plan.setting` is `enabled`. A Skill trigger is not consent to enable Plan: when disabled, do not run Plan commands; explain that the user can opt in with `lwc config set --plan enabled`. A lifecycle Hook with a resolved `agent_context` includes only Plans explicitly tracked by that Agent context. Treat any Plan progress reminder for another context as unrelated and ignore it.
Use Plan only for the current coarse execution plan. It is independent from Todo and must never be converted to or from a Todo automatically.
- Create one objective, explicit done criteria, constraints, and ordered coarse steps.
- After creating or explicitly claiming a Plan, bind it with `lwc --scope project|global plan track PLAN_ID --context CONTEXT_ID`, using only the opaque ID from the current Hook's `LWC_READINESS.agent_context`. Never infer or copy another Agent's context.
- Resume with `lwc plan brief PLAN_ID`; it is bounded and contains no hidden reasoning.
- Treat Hook `plan.tracking` and `plan.additional_trackings` as continuity cues for this context only. Follow the current step and planned next step, but call `brief` before any mutation.
- Use exact, idempotent `plan untrack PLAN_ID --context CONTEXT_ID` before deliberately switching a context to another Plan; a conflicting `track` never replaces the current association.
- Before mutation, inspect the current revision and pass `--if-revision`.
- `advance` completes the focal step with a result and explicitly selects the next pending step.
- `block` records a concrete blocker. `revise` requires a reason and CAS revision. Inspect `lwc contract plan-revise` for its full schema and example.View the complete source on GitHubusing-practice
When your agent uses it
Use when creating or recovering a durable paper, attempt, grade, flashcard, scheduled review, mistake history, or goal-evidence record. Skip Tutor comprehension checks, lightweight diagnostics, and disposable questions.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
650 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
- Enter or recover
- Durable flow
Files
SKILL.mdcore3,117 bytesSKILL.mdcore3,117 bytesagents/openai.yamlasset214 bytes
Read SKILL.md
# Using Practice
Practice preserves assessed work across context loss. Flashcards are Practice items.
It is a **silent control plane**: Do not narrate status, IDs, saves, grading writes, or
scheduler reads. Show only questions, answers, feedback, and meaningful progress.
Never inspect SQLite, plugin or runtime files, command history, or CLI help. Never
reread Skill files or text-search for state. Use only the public commands here.
## Enter or recover
Do not load Practice for a Tutor A/B reply, ordinary comprehension check, or lightweight
diagnostic. Enter only when durable work named in the description will actually be
created or recovered.View the complete source on GitHubusing-sync
When your agent uses it
Use when an Agent needs to synchronize LWC Wiki stores across SSH hosts, resume or abort an interrupted Sync session, or resolve semantic Sync conflicts safely.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
2,115 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
- Continue or stop a session
- Resolve semantic conflicts
Files
SKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesagents/openai.yamlasset206 bytes
Read SKILL.md
# Using LWC Sync
Run Sync through the audited CLI only:
```text
lwc sync HOST [ABS_DIRECTORY] --mode merge|pull|push
```
Every start, resume, resolve, abort, pull, push, or merge can publish or change
durable data. Before the first execution in a bounded workflow, present a safety
notice containing the exact command, target host, absolute directory, scope, mode, affected stores, impact, risks, recovery path, and reversibility.
An explicit user instruction that already names or unambiguously accepts these facts is authorization; do not ask the human to repeat it.
One authorization covers the bounded workflow while its host, directory, scope,View the complete source on GitHubusing-todo
When your agent uses it
Use when an Agent needs to capture, find, update, finish, cancel, or reopen durable deferred work in LWC.
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
468 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
Files
SKILL.mdcore2,036 bytesagents/openai.yamlasset195 bytes
Read SKILL.md
# Using LWC Todo
First run `lwc config show`. Continue only when `todo.setting` is `enabled`. A Skill trigger is not consent to enable Todo: when disabled, do not run Todo commands; explain that the user can opt in with `lwc config set --todo enabled`. A lifecycle Hook with a resolved `agent_context` includes only Todos explicitly tracked by that Agent context. Treat any Todo progress reminder for another context as unrelated and ignore it.
Use Todo only for independent future or deferred work. It is not the current execution plan and must never be converted to or from a Plan automatically.
- Add: `lwc todo add TITLE --tag TAG --cue TEXT --target-at RFC3339 --request-id ID`.
- After adding or explicitly claiming a Todo, bind it with `lwc --scope project|global todo track TODO_ID --context CONTEXT_ID`, using only the opaque ID from the current Hook's `LWC_READINESS.agent_context`. One context may track multiple Todos; never infer or copy another Agent's context.
- Add one direct child with `--parent TODO_ID`. Parentage is organization only: it does not cascade completion, create dependencies, or turn children into Plan steps.
- Discover: `lwc todo list --limit 20`, `lwc todo list --parent TODO_ID`, or `lwc todo search QUERY --limit 20`.
- Inspect before mutation: `lwc todo show TODO_ID`; pass its revision with `--if-revision`.
- Reschedule with `todo update ... --target-at RFC3339`; remove the time with `--clear-target-at`.
- Finish or cancel with a specific result/reason; use `reopen` before changing a closed Todo.
- Stop reminders with exact, idempotent `todo untrack TODO_ID --context CONTEXT_ID`; this removes only that context/Todo pair.View the complete source on GitHubusing-tutor
When your agent uses it
Use when starting or changing teacher-led learning, or recovering Tutor after context loss or a state error. Skip bound steady-state replies and ordinary factual questions.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
1,398 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
- Silent control plane
- Intent gate
- Turn state
- Known public shapes
- Teaching
- Learner model
Files
SKILL.mdcore5,597 bytesSKILL.mdcore5,597 bytesagents/openai.yamlasset221 bytes
Read SKILL.md
# Using Tutor
Act as **Prometheus**—equal, objective, scientific, concrete, and non-sycophantic.
Correct errors from evidence or first principles; never flatter, shame, or agree performatively.
## Silent control plane
Tutor is a **silent control plane**.
- Do not narrate Skills, commands, status, recovery, IDs, JSON, or persistence; one
sentence only at phase changes, meaningful waits, or multi-step batches.
- Never inspect SQLite, plugin/runtime/Skill files or CLI help; never text-search state.
- `$using-tutor` is control text and must not be recorded as a turn.
View the complete source on GitHubusing-book
When your agent uses it
Use to import, prepare, read, or synthesize a complete supported book in verified source order. Skip ordinary document lookup.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
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
- Enter or recover
- Ordered reading
Files
SKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesagents/openai.yamlasset207 bytes
Read SKILL.md
# Using Book
Use Book when the user wants whole-book absorption, ordered reading, or recovery of an
active Book lease. Skip ordinary lookup, summarization of supplied excerpts, and
unsupported HTML, scanned/OCR PDF, MOBI, or AZW3 input.
Book is a **silent control plane**. Do not narrate status checks, leases, locators,
coverage commits, source lookup, or other routine tool calls. Never inspect its SQLite,
plugin files, or runtime binaries and never probe CLI help for routine arguments. Give
the user only the requested reading result, progress that materially affects them, or
a concise actionable failure.
## Enter or recover
View the complete source on GitHubusing-discussion
When your agent uses it
Silently persist and recover visible multi-turn clarification, interviews, design Q/A and brainstorming, regardless of which Skill or prompt starts them. Use for ongoing discussion, not ordinary single-answer chat.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
982 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
- Local adjustment and completion
Files
SKILL.mdcore4,895 bytesagents/openai.yamlasset277 bytes
Read SKILL.md
# Persistent discussion
When a user requests or enters iterative clarification/brainstorming, use this
protocol alongside the active domain Skill (including grill-me, grilling or
superpowers). No name allowlist. Do not initiate questions merely to use it.
Reuse the authorized project SQLite and current Hook's opaque agent context.
Never manufacture another context, initialize a missing Wiki, or install tooling
solely to record. An unavailable store is a capture limitation, not permission to
pretend the conversation is saved. Without a resolved context, disclose the gap.
Use `lwc contract discussion` once for the exact schema and example. CLI
`lwc discussion apply --json -` and MCP `lwc_discussion` action `apply` share it.
MCP always requires the current absolute projectPath. Never pass shell-interpolated
user text: serialize JSON to stdin or structured MCP arguments.View the complete source on GitHubusing-lwc
When your agent uses it
Use when substantive project work, structural code questions, research, planning, debugging, architecture, decisions, document ingest, incident recovery, or verified context and results should survive future sessions; also when the user invokes $using-lwc or asks to search, update, repair, configure, maintain, or transfer an LWC Wiki, graph index, or portable memory archive.
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,822 tokensWhen the skill is activated
Reference documents
21,515 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Hard scope boundary
- Start once per working root
- Bound team memory
- Update notice
- Capability router
- Automatic decision loop
- Non-negotiable safety
- Iterative clarification
Scripts executed separately
scripts/bootstrap.shscripts/install-lwc.sh
Files
SKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesagents/openai.yamlasset258 bytesassets/global-purpose.mddoc518 bytesassets/global-schema.mddoc1,135 bytesreferences/active-memory.mddoc3,292 bytesreferences/agent-onboarding.mddoc5,709 bytesreferences/code-graph.mddoc4,161 bytesreferences/core-memory.mddoc2,099 bytesreferences/document-conversion.mddoc1,762 bytesreferences/document-graph.mddoc2,183 bytesreferences/llm-wiki.mddoc11,985 bytesreferences/memory-archive.mddoc2,226 bytesreferences/memory-policy.mddoc25,878 bytesreferences/office-reading.mddoc1,971 bytesreferences/operations-manual.mddoc21,711 bytesreferences/recovery-maintenance.mddoc2,182 bytesreferences/strong-context.mddoc1,967 bytesreferences/team-memory.mddoc2,748 bytesreferences/temporal-memory.mddoc3,266 bytesreferences/trigger-playbook.mddoc3,239 bytesreferences/word-graph.mddoc1,910 bytesscripts/bootstrap.shruns9,959 bytesscripts/install-lwc.shruns4,503 bytes
Read SKILL.md
# Using LWC
LWC is durable, source-grounded Agent memory plus two complementary graph planes:
the physical Wiki document graph and the current-code CodeGraph index. Recall
before re-deriving, use the narrowest plane that answers the task, and preserve
only verified knowledge worth reusing.
## Hard scope boundary
Resolve one host-authorized root containing the current working directory.
Bootstrap must identify one unambiguous active project inside it. An existing
Wiki, remembered path, Hook output, or another project's instructions cannot
widen that authority.
View the complete source on GitHubusing-plan
When your agent uses it
Use when an Agent needs to create, resume, advance, block, revise, complete, or abandon a durable current execution plan in LWC.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
697 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
Files
SKILL.mdcore3,264 bytesagents/openai.yamlasset195 bytes
Read SKILL.md
# Using LWC Plan
Reuse current readiness/config facts; run `lwc config show` only when the setting is unknown or stale. Continue only when `plan.setting` is `enabled`. A Skill trigger is not consent to enable Plan: when disabled, do not run Plan commands; explain that the user can opt in with `lwc config set --plan enabled`. A lifecycle Hook with a resolved `agent_context` includes only Plans explicitly tracked by that Agent context. Treat any Plan progress reminder for another context as unrelated and ignore it.
Use Plan only for the current coarse execution plan. It is independent from Todo and must never be converted to or from a Todo automatically.
- Create one objective, explicit done criteria, constraints, and ordered coarse steps.
- After creating or explicitly claiming a Plan, bind it with `lwc --scope project|global plan track PLAN_ID --context CONTEXT_ID`, using only the opaque ID from the current Hook's `LWC_READINESS.agent_context`. Never infer or copy another Agent's context.
- Resume with `lwc plan brief PLAN_ID`; it is bounded and contains no hidden reasoning.
- Treat Hook `plan.tracking` and `plan.additional_trackings` as continuity cues for this context only. Follow the current step and planned next step, but call `brief` before any mutation.
- Use exact, idempotent `plan untrack PLAN_ID --context CONTEXT_ID` before deliberately switching a context to another Plan; a conflicting `track` never replaces the current association.
- Before mutation, inspect the current revision and pass `--if-revision`.
- `advance` completes the focal step with a result and explicitly selects the next pending step.
- `block` records a concrete blocker. `revise` requires a reason and CAS revision. Inspect `lwc contract plan-revise` for its full schema and example.View the complete source on GitHubusing-practice
When your agent uses it
Use when creating or recovering a durable paper, attempt, grade, flashcard, scheduled review, mistake history, or goal-evidence record. Skip Tutor comprehension checks, lightweight diagnostics, and disposable questions.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
650 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
- Enter or recover
- Durable flow
Files
SKILL.mdcore3,117 bytesSKILL.mdcore3,117 bytesagents/openai.yamlasset214 bytes
Read SKILL.md
# Using Practice
Practice preserves assessed work across context loss. Flashcards are Practice items.
It is a **silent control plane**: Do not narrate status, IDs, saves, grading writes, or
scheduler reads. Show only questions, answers, feedback, and meaningful progress.
Never inspect SQLite, plugin or runtime files, command history, or CLI help. Never
reread Skill files or text-search for state. Use only the public commands here.
## Enter or recover
Do not load Practice for a Tutor A/B reply, ordinary comprehension check, or lightweight
diagnostic. Enter only when durable work named in the description will actually be
created or recovered.View the complete source on GitHubusing-sync
When your agent uses it
Use when an Agent needs to synchronize LWC Wiki stores across SSH hosts, resume or abort an interrupted Sync session, or resolve semantic Sync conflicts safely.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
2,115 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
- Continue or stop a session
- Resolve semantic conflicts
Files
SKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesagents/openai.yamlasset206 bytes
Read SKILL.md
# Using LWC Sync
Run Sync through the audited CLI only:
```text
lwc sync HOST [ABS_DIRECTORY] --mode merge|pull|push
```
Every start, resume, resolve, abort, pull, push, or merge can publish or change
durable data. Before the first execution in a bounded workflow, present a safety
notice containing the exact command, target host, absolute directory, scope, mode, affected stores, impact, risks, recovery path, and reversibility.
An explicit user instruction that already names or unambiguously accepts these facts is authorization; do not ask the human to repeat it.
One authorization covers the bounded workflow while its host, directory, scope,View the complete source on GitHubusing-todo
When your agent uses it
Use when an Agent needs to capture, find, update, finish, cancel, or reopen durable deferred work in LWC.
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
468 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
Files
SKILL.mdcore2,036 bytesagents/openai.yamlasset195 bytes
Read SKILL.md
# Using LWC Todo
First run `lwc config show`. Continue only when `todo.setting` is `enabled`. A Skill trigger is not consent to enable Todo: when disabled, do not run Todo commands; explain that the user can opt in with `lwc config set --todo enabled`. A lifecycle Hook with a resolved `agent_context` includes only Todos explicitly tracked by that Agent context. Treat any Todo progress reminder for another context as unrelated and ignore it.
Use Todo only for independent future or deferred work. It is not the current execution plan and must never be converted to or from a Plan automatically.
- Add: `lwc todo add TITLE --tag TAG --cue TEXT --target-at RFC3339 --request-id ID`.
- After adding or explicitly claiming a Todo, bind it with `lwc --scope project|global todo track TODO_ID --context CONTEXT_ID`, using only the opaque ID from the current Hook's `LWC_READINESS.agent_context`. One context may track multiple Todos; never infer or copy another Agent's context.
- Add one direct child with `--parent TODO_ID`. Parentage is organization only: it does not cascade completion, create dependencies, or turn children into Plan steps.
- Discover: `lwc todo list --limit 20`, `lwc todo list --parent TODO_ID`, or `lwc todo search QUERY --limit 20`.
- Inspect before mutation: `lwc todo show TODO_ID`; pass its revision with `--if-revision`.
- Reschedule with `todo update ... --target-at RFC3339`; remove the time with `--clear-target-at`.
- Finish or cancel with a specific result/reason; use `reopen` before changing a closed Todo.
- Stop reminders with exact, idempotent `todo untrack TODO_ID --context CONTEXT_ID`; this removes only that context/Todo pair.View the complete source on GitHubusing-tutor
When your agent uses it
Use when starting or changing teacher-led learning, or recovering Tutor after context loss or a state error. Skip bound steady-state replies and ordinary factual questions.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
1,398 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
- Silent control plane
- Intent gate
- Turn state
- Known public shapes
- Teaching
- Learner model
Files
SKILL.mdcore5,597 bytesSKILL.mdcore5,597 bytesagents/openai.yamlasset221 bytes
Read SKILL.md
# Using Tutor
Act as **Prometheus**—equal, objective, scientific, concrete, and non-sycophantic.
Correct errors from evidence or first principles; never flatter, shame, or agree performatively.
## Silent control plane
Tutor is a **silent control plane**.
- Do not narrate Skills, commands, status, recovery, IDs, JSON, or persistence; one
sentence only at phase changes, meaningful waits, or multi-step batches.
- Never inspect SQLite, plugin/runtime/Skill files or CLI help; never text-search state.
- `$using-tutor` is control text and must not be recorded as a turn.
View the complete source on GitHubusing-book
When your agent uses it
Use to import, prepare, read, or synthesize a complete supported book in verified source order. Skip ordinary document lookup.
What it loads into context
Frontmatter
32 tokensAlways available to the agent
SKILL.md
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
- Enter or recover
- Ordered reading
Files
SKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesSKILL.mdcore3,066 bytesagents/openai.yamlasset207 bytes
Read SKILL.md
# Using Book
Use Book when the user wants whole-book absorption, ordered reading, or recovery of an
active Book lease. Skip ordinary lookup, summarization of supplied excerpts, and
unsupported HTML, scanned/OCR PDF, MOBI, or AZW3 input.
Book is a **silent control plane**. Do not narrate status checks, leases, locators,
coverage commits, source lookup, or other routine tool calls. Never inspect its SQLite,
plugin files, or runtime binaries and never probe CLI help for routine arguments. Give
the user only the requested reading result, progress that materially affects them, or
a concise actionable failure.
## Enter or recover
View the complete source on GitHubusing-discussion
When your agent uses it
Silently persist and recover visible multi-turn clarification, interviews, design Q/A and brainstorming, regardless of which Skill or prompt starts them. Use for ongoing discussion, not ordinary single-answer chat.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
982 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
- Local adjustment and completion
Files
SKILL.mdcore4,895 bytesagents/openai.yamlasset277 bytes
Read SKILL.md
# Persistent discussion
When a user requests or enters iterative clarification/brainstorming, use this
protocol alongside the active domain Skill (including grill-me, grilling or
superpowers). No name allowlist. Do not initiate questions merely to use it.
Reuse the authorized project SQLite and current Hook's opaque agent context.
Never manufacture another context, initialize a missing Wiki, or install tooling
solely to record. An unavailable store is a capture limitation, not permission to
pretend the conversation is saved. Without a resolved context, disclose the gap.
Use `lwc contract discussion` once for the exact schema and example. CLI
`lwc discussion apply --json -` and MCP `lwc_discussion` action `apply` share it.
MCP always requires the current absolute projectPath. Never pass shell-interpolated
user text: serialize JSON to stdin or structured MCP arguments.View the complete source on GitHubusing-lwc
When your agent uses it
Use when substantive project work, structural code questions, research, planning, debugging, architecture, decisions, document ingest, incident recovery, or verified context and results should survive future sessions; also when the user invokes $using-lwc or asks to search, update, repair, configure, maintain, or transfer an LWC Wiki, graph index, or portable memory archive.
What it loads into context
Frontmatter
81 tokensAlways available to the agent
SKILL.md
1,822 tokensWhen the skill is activated
Reference documents
21,515 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Hard scope boundary
- Start once per working root
- Bound team memory
- Update notice
- Capability router
- Automatic decision loop
- Non-negotiable safety
- Iterative clarification
Scripts executed separately
scripts/bootstrap.shscripts/install-lwc.sh
Files
SKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesSKILL.mdcore8,797 bytesagents/openai.yamlasset258 bytesassets/global-purpose.mddoc518 bytesassets/global-schema.mddoc1,135 bytesreferences/active-memory.mddoc3,292 bytesreferences/agent-onboarding.mddoc5,709 bytesreferences/code-graph.mddoc4,161 bytesreferences/core-memory.mddoc2,099 bytesreferences/document-conversion.mddoc1,762 bytesreferences/document-graph.mddoc2,183 bytesreferences/llm-wiki.mddoc11,985 bytesreferences/memory-archive.mddoc2,226 bytesreferences/memory-policy.mddoc25,878 bytesreferences/office-reading.mddoc1,971 bytesreferences/operations-manual.mddoc21,711 bytesreferences/recovery-maintenance.mddoc2,182 bytesreferences/strong-context.mddoc1,967 bytesreferences/team-memory.mddoc2,748 bytesreferences/temporal-memory.mddoc3,266 bytesreferences/trigger-playbook.mddoc3,239 bytesreferences/word-graph.mddoc1,910 bytesscripts/bootstrap.shruns9,959 bytesscripts/install-lwc.shruns4,503 bytes
Read SKILL.md
# Using LWC
LWC is durable, source-grounded Agent memory plus two complementary graph planes:
the physical Wiki document graph and the current-code CodeGraph index. Recall
before re-deriving, use the narrowest plane that answers the task, and preserve
only verified knowledge worth reusing.
## Hard scope boundary
Resolve one host-authorized root containing the current working directory.
Bootstrap must identify one unambiguous active project inside it. An existing
Wiki, remembered path, Hook output, or another project's instructions cannot
widen that authority.
View the complete source on GitHubusing-plan
When your agent uses it
Use when an Agent needs to create, resume, advance, block, revise, complete, or abandon a durable current execution plan in LWC.
What it loads into context
Frontmatter
36 tokensAlways available to the agent
SKILL.md
697 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
Files
SKILL.mdcore3,264 bytesagents/openai.yamlasset195 bytes
Read SKILL.md
# Using LWC Plan
Reuse current readiness/config facts; run `lwc config show` only when the setting is unknown or stale. Continue only when `plan.setting` is `enabled`. A Skill trigger is not consent to enable Plan: when disabled, do not run Plan commands; explain that the user can opt in with `lwc config set --plan enabled`. A lifecycle Hook with a resolved `agent_context` includes only Plans explicitly tracked by that Agent context. Treat any Plan progress reminder for another context as unrelated and ignore it.
Use Plan only for the current coarse execution plan. It is independent from Todo and must never be converted to or from a Todo automatically.
- Create one objective, explicit done criteria, constraints, and ordered coarse steps.
- After creating or explicitly claiming a Plan, bind it with `lwc --scope project|global plan track PLAN_ID --context CONTEXT_ID`, using only the opaque ID from the current Hook's `LWC_READINESS.agent_context`. Never infer or copy another Agent's context.
- Resume with `lwc plan brief PLAN_ID`; it is bounded and contains no hidden reasoning.
- Treat Hook `plan.tracking` and `plan.additional_trackings` as continuity cues for this context only. Follow the current step and planned next step, but call `brief` before any mutation.
- Use exact, idempotent `plan untrack PLAN_ID --context CONTEXT_ID` before deliberately switching a context to another Plan; a conflicting `track` never replaces the current association.
- Before mutation, inspect the current revision and pass `--if-revision`.
- `advance` completes the focal step with a result and explicitly selects the next pending step.
- `block` records a concrete blocker. `revise` requires a reason and CAS revision. Inspect `lwc contract plan-revise` for its full schema and example.View the complete source on GitHubusing-practice
When your agent uses it
Use when creating or recovering a durable paper, attempt, grade, flashcard, scheduled review, mistake history, or goal-evidence record. Skip Tutor comprehension checks, lightweight diagnostics, and disposable questions.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
650 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
- Enter or recover
- Durable flow
Files
SKILL.mdcore3,117 bytesSKILL.mdcore3,117 bytesagents/openai.yamlasset214 bytes
Read SKILL.md
# Using Practice
Practice preserves assessed work across context loss. Flashcards are Practice items.
It is a **silent control plane**: Do not narrate status, IDs, saves, grading writes, or
scheduler reads. Show only questions, answers, feedback, and meaningful progress.
Never inspect SQLite, plugin or runtime files, command history, or CLI help. Never
reread Skill files or text-search for state. Use only the public commands here.
## Enter or recover
Do not load Practice for a Tutor A/B reply, ordinary comprehension check, or lightweight
diagnostic. Enter only when durable work named in the description will actually be
created or recovered.View the complete source on GitHubusing-sync
When your agent uses it
Use when an Agent needs to synchronize LWC Wiki stores across SSH hosts, resume or abort an interrupted Sync session, or resolve semantic Sync conflicts safely.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
2,115 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
- Continue or stop a session
- Resolve semantic conflicts
Files
SKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesSKILL.mdcore10,148 bytesagents/openai.yamlasset206 bytes
Read SKILL.md
# Using LWC Sync
Run Sync through the audited CLI only:
```text
lwc sync HOST [ABS_DIRECTORY] --mode merge|pull|push
```
Every start, resume, resolve, abort, pull, push, or merge can publish or change
durable data. Before the first execution in a bounded workflow, present a safety
notice containing the exact command, target host, absolute directory, scope, mode, affected stores, impact, risks, recovery path, and reversibility.
An explicit user instruction that already names or unambiguously accepts these facts is authorization; do not ask the human to repeat it.
One authorization covers the bounded workflow while its host, directory, scope,View the complete source on GitHubusing-todo
When your agent uses it
Use when an Agent needs to capture, find, update, finish, cancel, or reopen durable deferred work in LWC.
What it loads into context
Frontmatter
33 tokensAlways available to the agent
SKILL.md
468 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
Files
SKILL.mdcore2,036 bytesagents/openai.yamlasset195 bytes
Read SKILL.md
# Using LWC Todo
First run `lwc config show`. Continue only when `todo.setting` is `enabled`. A Skill trigger is not consent to enable Todo: when disabled, do not run Todo commands; explain that the user can opt in with `lwc config set --todo enabled`. A lifecycle Hook with a resolved `agent_context` includes only Todos explicitly tracked by that Agent context. Treat any Todo progress reminder for another context as unrelated and ignore it.
Use Todo only for independent future or deferred work. It is not the current execution plan and must never be converted to or from a Plan automatically.
- Add: `lwc todo add TITLE --tag TAG --cue TEXT --target-at RFC3339 --request-id ID`.
- After adding or explicitly claiming a Todo, bind it with `lwc --scope project|global todo track TODO_ID --context CONTEXT_ID`, using only the opaque ID from the current Hook's `LWC_READINESS.agent_context`. One context may track multiple Todos; never infer or copy another Agent's context.
- Add one direct child with `--parent TODO_ID`. Parentage is organization only: it does not cascade completion, create dependencies, or turn children into Plan steps.
- Discover: `lwc todo list --limit 20`, `lwc todo list --parent TODO_ID`, or `lwc todo search QUERY --limit 20`.
- Inspect before mutation: `lwc todo show TODO_ID`; pass its revision with `--if-revision`.
- Reschedule with `todo update ... --target-at RFC3339`; remove the time with `--clear-target-at`.
- Finish or cancel with a specific result/reason; use `reopen` before changing a closed Todo.
- Stop reminders with exact, idempotent `todo untrack TODO_ID --context CONTEXT_ID`; this removes only that context/Todo pair.View the complete source on GitHubusing-tutor
When your agent uses it
Use when starting or changing teacher-led learning, or recovering Tutor after context loss or a state error. Skip bound steady-state replies and ordinary factual questions.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
1,398 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
- Silent control plane
- Intent gate
- Turn state
- Known public shapes
- Teaching
- Learner model
Files
SKILL.mdcore5,597 bytesSKILL.mdcore5,597 bytesagents/openai.yamlasset221 bytes
Read SKILL.md
# Using Tutor
Act as **Prometheus**—equal, objective, scientific, concrete, and non-sycophantic.
Correct errors from evidence or first principles; never flatter, shame, or agree performatively.
## Silent control plane
Tutor is a **silent control plane**.
- Do not narrate Skills, commands, status, recovery, IDs, JSON, or persistence; one
sentence only at phase changes, meaningful waits, or multi-step batches.
- Never inspect SQLite, plugin/runtime/Skill files or CLI help; never text-search state.
- `$using-tutor` is control text and must not be recorded as a turn.
View the complete source on GitHubSkills included
- using-book
- using-discussion
- using-lwc
- using-plan
- using-practice
- using-sync
- using-todo
- using-tutor
- using-book
- using-discussion
- using-lwc
- using-plan
- using-practice
- using-sync
- using-todo
- using-tutor
- using-book
- using-discussion
- using-lwc
- using-plan
- using-practice
- using-sync
- using-todo
- using-tutor
- using-book
- using-discussion
- using-lwc
- using-plan
- using-practice
- using-sync
- using-todo
- using-tutor
Repository facts
- License
- Apache-2.0
- Created
- Jul 29, 2026
- Last pushed
- Oct 7, 2026
- Forks
- 6
- Open issues
- 0
- Project activity
- Active
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 56 notes
integrations/claude-lwc/skills/using-book/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-book/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-book/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-book/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-book/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-lwc/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-lwc/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-lwc/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-lwc/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-practice/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-sync/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-sync/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-sync/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/claude-lwc/skills/using-tutor/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/codex-lwc/skills/using-book/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/codex-lwc/skills/using-book/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/codex-lwc/skills/using-book/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/codex-lwc/skills/using-book/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/codex-lwc/skills/using-book/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedintegrations/codex-lwc/skills/using-lwc/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 10 dangerous shell commandsin 4 files: integrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:105 using-lwc/scripts/install-lwc.sh:105 using-lwc/scripts/install-lwc.sh:105 and 1 more
- 76 network referencesin 10 files: integrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:15 using-lwc/scripts/install-lwc.sh:15 using-lwc/scripts/install-lwc.sh:15 and 7 more
- No hidden or obfuscated text
- No instruction overrides
- 10 executable scriptsin 8 files: integrations/claude-lwc/skills/using-lwc/scripts/bootstrap.sh:1 integrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:1 using-lwc/scripts/bootstrap.sh:1 and 5 more
- No access to secrets
- No requests to vote in Hot
Show all 96 signals by file
integrations/claude-lwc/.claude-plugin/marketplace.json
- Network accessline 1
{ "$schema": "https://anthropic.com/claude-code/marketplace.schema.json", - Network accessline 2
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", - Network accessline 5
"owner": { "name": "JanYork", "url": "https://github.com/JanYork" - Network accessline 6
"name": "JanYork", "url": "https://github.com/JanYork" }, - Network accessline 7
"url": "https://github.com/JanYork"
integrations/claude-lwc/.claude-plugin/plugin.json
- Network accessline 5
"author": { "name": "JanYork", "url": "https://github.com/JanYork" - Network accessline 6
"name": "JanYork", "url": "https://github.com/JanYork" }, - Network accessline 7
"url": "https://github.com/JanYork" - Network accessline 8
}, "homepage": "https://github.com/JanYork/llm-wiki-cli", "repository": "https://github.com/JanYork/llm-wiki-cli", - Network accessline 9
"homepage": "https://github.com/JanYork/llm-wiki-cli", - Network accessline 10
"repository": "https://github.com/JanYork/llm-wiki-cli",
integrations/claude-lwc/skills/using-lwc/references/llm-wiki.md
- Network accessline 19
- **Personal**: tracking your own goals, health, psychology, self-improvement — filing journal entries, articles, podcast notes, and building up a structured picture of yourself over time. - **Research**: going deep on a topic over weeks or - Network accessline 19
- **Personal**: tracking your own goals, health, psychology, self-improvement — filing journal entries, articles, podcast notes, and building up a structured picture of yourself over time. - **Research**: going deep on a topic over weeks or - Network accessline 20
- **Research**: going deep on a topic over weeks or months — reading papers, articles, reports, and incrementally building a comprehensive wiki with an evolving thesis. - **Reading a book**: filing each chapter as you go, building out pages - Network accessline 20
- **Research**: going deep on a topic over weeks or months — reading papers, articles, reports, and incrementally building a comprehensive wiki with an evolving thesis. - **Reading a book**: filing each chapter as you go, building out pages - Network accessline 21
- **Reading a book**: filing each chapter as you go, building out pages for characters, themes, plot threads, and how they connect. By the end you have a rich companion wiki. Think of fan wikis like [Tolkien Gateway](https://tolkiengateway. - Network accessline 21
- **Reading a book**: filing each chapter as you go, building out pages for characters, themes, plot threads, and how they connect. By the end you have a rich companion wiki. Think of fan wikis like [Tolkien Gateway](https://tolkiengateway. - Network accessline 53
At some point you may want to build small tools that help the LLM operate on the wiki more efficiently. A search engine over the wiki pages is the most obvious one — at small scale the index file is enough, but as the wiki grows you want pr - Network accessline 53
At some point you may want to build small tools that help the LLM operate on the wiki more efficiently. A search engine over the wiki pages is the most obvious one — at small scale the index file is enough, but as the wiki grows you want pr
integrations/claude-lwc/skills/using-lwc/scripts/bootstrap.sh
integrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh
- Executable scriptline 1
#!/bin/sh - Executable scriptline 1
#!/bin/sh - Network accessline 15
need curl need uname - Network accessline 15
need curl need uname - Network accessline 54
target="${architecture}-${platform}" latest_url="https://github.com/${repository}/releases/latest" effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || - Network accessline 54
target="${architecture}-${platform}" latest_url="https://github.com/${repository}/releases/latest" effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || - Network accessline 55
latest_url="https://github.com/${repository}/releases/latest" effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || die "Could not resolve the latest release" - Network accessline 55
latest_url="https://github.com/${repository}/releases/latest" effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || die "Could not resolve the latest release" - Network accessline 56
effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || - Network accessline 56
effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || - Network accessline 65
version="${tag#v}" archive="lwc-${version}-${target}.${archive_extension}" release_url="https://github.com/${repository}/releases/download/${tag}" - Network accessline 65
version="${tag#v}" archive="lwc-${version}-${target}.${archive_extension}" release_url="https://github.com/${repository}/releases/download/${tag}" - Network accessline 67
release_url="https://github.com/${repository}/releases/download/${tag}" - Network accessline 67
release_url="https://github.com/${repository}/releases/download/${tag}" - Dangerous shell operationline 105
[ -z "$staged_binary" ] || rm -f "$staged_binary" - Dangerous shell operationline 105
[ -z "$staged_binary" ] || rm -f "$staged_binary" - Dangerous shell operationline 106
rm -rf "$work_dir" - Dangerous shell operationline 106
rm -rf "$work_dir" - Network accessline 111
curl -fsSL "$release_url/$archive" -o "$work_dir/$archive" || - Network accessline 111
curl -fsSL "$release_url/$archive" -o "$work_dir/$archive" || - Network accessline 112
die "Could not download $archive" curl -fsSL "$release_url/SHA256SUMS" -o "$work_dir/SHA256SUMS" || die "Could not download SHA256SUMS" - Network accessline 112
die "Could not download $archive" curl -fsSL "$release_url/SHA256SUMS" -o "$work_dir/SHA256SUMS" || die "Could not download SHA256SUMS" - Network accessline 113
curl -fsSL "$release_url/SHA256SUMS" -o "$work_dir/SHA256SUMS" || - Network accessline 113
curl -fsSL "$release_url/SHA256SUMS" -o "$work_dir/SHA256SUMS" ||
integrations/codex-lwc/skills/using-lwc/references/llm-wiki.md
- Network accessline 19
- **Personal**: tracking your own goals, health, psychology, self-improvement — filing journal entries, articles, podcast notes, and building up a structured picture of yourself over time. - **Research**: going deep on a topic over weeks or - Network accessline 20
- **Research**: going deep on a topic over weeks or months — reading papers, articles, reports, and incrementally building a comprehensive wiki with an evolving thesis. - **Reading a book**: filing each chapter as you go, building out pages - Network accessline 21
- **Reading a book**: filing each chapter as you go, building out pages for characters, themes, plot threads, and how they connect. By the end you have a rich companion wiki. Think of fan wikis like [Tolkien Gateway](https://tolkiengateway. - Network accessline 53
At some point you may want to build small tools that help the LLM operate on the wiki more efficiently. A search engine over the wiki pages is the most obvious one — at small scale the index file is enough, but as the wiki grows you want pr
integrations/codex-lwc/skills/using-lwc/scripts/bootstrap.sh
- Executable scriptline 1
#!/bin/sh
integrations/codex-lwc/skills/using-lwc/scripts/install-lwc.sh
- Executable scriptline 1
#!/bin/sh - Network accessline 15
need curl need uname - Network accessline 54
target="${architecture}-${platform}" latest_url="https://github.com/${repository}/releases/latest" effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || - Network accessline 55
latest_url="https://github.com/${repository}/releases/latest" effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || die "Could not resolve the latest release" - Network accessline 56
effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || - Network accessline 65
version="${tag#v}" archive="lwc-${version}-${target}.${archive_extension}" release_url="https://github.com/${repository}/releases/download/${tag}" - Network accessline 67
release_url="https://github.com/${repository}/releases/download/${tag}" - Dangerous shell operationline 105
[ -z "$staged_binary" ] || rm -f "$staged_binary" - Dangerous shell operationline 106
rm -rf "$work_dir" - Network accessline 111
curl -fsSL "$release_url/$archive" -o "$work_dir/$archive" || - Network accessline 112
die "Could not download $archive" curl -fsSL "$release_url/SHA256SUMS" -o "$work_dir/SHA256SUMS" || die "Could not download SHA256SUMS" - Network accessline 113
curl -fsSL "$release_url/SHA256SUMS" -o "$work_dir/SHA256SUMS" ||
integrations/pi-lwc/skills/using-lwc/references/llm-wiki.md
- Network accessline 19
- **Personal**: tracking your own goals, health, psychology, self-improvement — filing journal entries, articles, podcast notes, and building up a structured picture of yourself over time. - **Research**: going deep on a topic over weeks or - Network accessline 20
- **Research**: going deep on a topic over weeks or months — reading papers, articles, reports, and incrementally building a comprehensive wiki with an evolving thesis. - **Reading a book**: filing each chapter as you go, building out pages - Network accessline 21
- **Reading a book**: filing each chapter as you go, building out pages for characters, themes, plot threads, and how they connect. By the end you have a rich companion wiki. Think of fan wikis like [Tolkien Gateway](https://tolkiengateway. - Network accessline 53
At some point you may want to build small tools that help the LLM operate on the wiki more efficiently. A search engine over the wiki pages is the most obvious one — at small scale the index file is enough, but as the wiki grows you want pr
integrations/pi-lwc/skills/using-lwc/scripts/bootstrap.sh
- Executable scriptline 1
#!/bin/sh
integrations/pi-lwc/skills/using-lwc/scripts/install-lwc.sh
- Executable scriptline 1
#!/bin/sh - Network accessline 15
need curl need uname - Network accessline 54
target="${architecture}-${platform}" latest_url="https://github.com/${repository}/releases/latest" effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || - Network accessline 55
latest_url="https://github.com/${repository}/releases/latest" effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || die "Could not resolve the latest release" - Network accessline 56
effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || - Network accessline 65
version="${tag#v}" archive="lwc-${version}-${target}.${archive_extension}" release_url="https://github.com/${repository}/releases/download/${tag}" - Network accessline 67
release_url="https://github.com/${repository}/releases/download/${tag}" - Dangerous shell operationline 105
[ -z "$staged_binary" ] || rm -f "$staged_binary" - Dangerous shell operationline 106
rm -rf "$work_dir" - Network accessline 111
curl -fsSL "$release_url/$archive" -o "$work_dir/$archive" || - Network accessline 112
die "Could not download $archive" curl -fsSL "$release_url/SHA256SUMS" -o "$work_dir/SHA256SUMS" || die "Could not download SHA256SUMS" - Network accessline 113
curl -fsSL "$release_url/SHA256SUMS" -o "$work_dir/SHA256SUMS" ||
skills/using-lwc/references/llm-wiki.md
- Network accessline 19
- **Personal**: tracking your own goals, health, psychology, self-improvement — filing journal entries, articles, podcast notes, and building up a structured picture of yourself over time. - **Research**: going deep on a topic over weeks or - Network accessline 20
- **Research**: going deep on a topic over weeks or months — reading papers, articles, reports, and incrementally building a comprehensive wiki with an evolving thesis. - **Reading a book**: filing each chapter as you go, building out pages - Network accessline 21
- **Reading a book**: filing each chapter as you go, building out pages for characters, themes, plot threads, and how they connect. By the end you have a rich companion wiki. Think of fan wikis like [Tolkien Gateway](https://tolkiengateway. - Network accessline 53
At some point you may want to build small tools that help the LLM operate on the wiki more efficiently. A search engine over the wiki pages is the most obvious one — at small scale the index file is enough, but as the wiki grows you want pr
skills/using-lwc/scripts/bootstrap.sh
- Executable scriptline 1
#!/bin/sh
skills/using-lwc/scripts/install-lwc.sh
- Executable scriptline 1
#!/bin/sh - Network accessline 15
need curl need uname - Network accessline 54
target="${architecture}-${platform}" latest_url="https://github.com/${repository}/releases/latest" effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || - Network accessline 55
latest_url="https://github.com/${repository}/releases/latest" effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || die "Could not resolve the latest release" - Network accessline 56
effective_url="$(curl -fsSLI -o /dev/null -w '%{url_effective}' "$latest_url")" || - Network accessline 65
version="${tag#v}" archive="lwc-${version}-${target}.${archive_extension}" release_url="https://github.com/${repository}/releases/download/${tag}" - Network accessline 67
release_url="https://github.com/${repository}/releases/download/${tag}" - Dangerous shell operationline 105
[ -z "$staged_binary" ] || rm -f "$staged_binary" - Dangerous shell operationline 106
rm -rf "$work_dir" - Network accessline 111
curl -fsSL "$release_url/$archive" -o "$work_dir/$archive" || - Network accessline 112
die "Could not download $archive" curl -fsSL "$release_url/SHA256SUMS" -o "$work_dir/SHA256SUMS" || die "Could not download SHA256SUMS" - Network accessline 113
curl -fsSL "$release_url/SHA256SUMS" -o "$work_dir/SHA256SUMS" ||
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.
Declared and executed: 4 facts
- Contacts github.com, which SKILL.md, the README and the plugin manifest do not mentionusing-lwc/scripts/install-lwc.sh:55High confidence
- Contacts github.com, which SKILL.md, the README and the plugin manifest do not mentionusing-lwc/scripts/install-lwc.sh:55High confidence
- Contacts github.com, which SKILL.md, the README and the plugin manifest do not mentionusing-lwc/scripts/install-lwc.sh:55High confidence
- Contacts github.com, which SKILL.md, the README and the plugin manifest do not mentionusing-lwc/scripts/install-lwc.sh:55High confidence
Signal confidence: 85 facts
- Network access in prose of documentationintegrations/claude-lwc/skills/using-lwc/references/llm-wiki.md:19Low confidence
- Network access in prose of documentationusing-lwc/references/llm-wiki.md:19Low confidence
- Network access in prose of documentationintegrations/claude-lwc/skills/using-lwc/references/llm-wiki.md:20Low confidence
- Network access in prose of documentationusing-lwc/references/llm-wiki.md:20Low confidence
- Network access in prose of documentationintegrations/claude-lwc/skills/using-lwc/references/llm-wiki.md:21Low confidence
- Network access in prose of documentationusing-lwc/references/llm-wiki.md:21Low confidence
- Network access in prose of documentationintegrations/claude-lwc/skills/using-lwc/references/llm-wiki.md:53Low confidence
- Network access in prose of documentationusing-lwc/references/llm-wiki.md:53Low confidence
- Executable script in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/bootstrap.sh:1High confidence
- Executable script in code of a file that runsusing-lwc/scripts/bootstrap.sh:1High confidence
- Executable script in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:1High confidence
- Executable script in code of a file that runsusing-lwc/scripts/install-lwc.sh:1High confidence
- Network access in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:15High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:15High confidence
- Network access in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:54High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:54High confidence
- Network access in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:55High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:55High confidence
- Network access in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:56High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:56High confidence
- Network access in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:65High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:65High confidence
- Network access in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:67High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:67High confidence
- Dangerous shell operation in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:105High confidence
- Dangerous shell operation in code of a file that runsusing-lwc/scripts/install-lwc.sh:105High confidence
- Dangerous shell operation in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:106High confidence
- Dangerous shell operation in code of a file that runsusing-lwc/scripts/install-lwc.sh:106High confidence
- Network access in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:111High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:111High confidence
- Network access in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:112High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:112High confidence
- Network access in code of a file that runsintegrations/claude-lwc/skills/using-lwc/scripts/install-lwc.sh:113High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:113High confidence
- Network access in prose of documentationusing-lwc/references/llm-wiki.md:19Low confidence
- Network access in prose of documentationusing-lwc/references/llm-wiki.md:20Low confidence
- Network access in prose of documentationusing-lwc/references/llm-wiki.md:21Low confidence
- Network access in prose of documentationusing-lwc/references/llm-wiki.md:53Low confidence
- Executable script in code of a file that runsusing-lwc/scripts/bootstrap.sh:1High confidence
- Executable script in code of a file that runsusing-lwc/scripts/install-lwc.sh:1High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:15High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:54High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:55High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:56High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:65High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:67High confidence
- Dangerous shell operation in code of a file that runsusing-lwc/scripts/install-lwc.sh:105High confidence
- Dangerous shell operation in code of a file that runsusing-lwc/scripts/install-lwc.sh:106High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:111High confidence
- Network access in code of a file that runsusing-lwc/scripts/install-lwc.sh:112High confidence
and 35 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Manifest integrations/claude-lwc/.claude-plugin/plugin.json | .claude/skills/<skill-name>/ |
| Codex | Native | Manifest AGENTS.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md integrations/claude-lwc/skills/using-book/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md integrations/claude-lwc/skills/using-book/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md integrations/claude-lwc/skills/using-book/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md integrations/claude-lwc/skills/using-book/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.