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agent skills marketplace for mcp bundler(can be used with other ai tools with support of agent skills markeplaces). some skills are mine, also borrowed skills(credited to authors)
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.
View weekly changes
ab-test-setup/SKILL.md
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agent-browser/SKILL.md
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analytics-tracking/SKILL.md
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brainstorming/SKILL.md
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browser-use/SKILL.md
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c4-architecture/SKILL.md
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code-recon/SKILL.md
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competitor-alternatives/SKILL.md
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copy-editing/SKILL.md
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copywriting/SKILL.md
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crafting-effective-readmes/SKILL.md
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dflow/SKILL.md
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drift-protocol/SKILL.md
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email-sequence/SKILL.md
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enterprise-readiness-skill/SKILL.md
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epub-translate/SKILL.md
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example-skill/SKILL.md
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form-cro/SKILL.md
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free-tool-strategy/SKILL.md
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git-workflow-skill/SKILL.md
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helius/SKILL.md
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hf-cli/SKILL.md
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hf-tool-builder/SKILL.md
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hugging-face-evaluation-manager/SKILL.md
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hugging-face-paper-publisher/SKILL.md
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kamino/SKILL.md
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launch-strategy/SKILL.md
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magicblock/SKILL.md
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marketing-ideas/SKILL.md
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marketing-psychology/SKILL.md
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mermaid-diagrams/SKILL.md
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meteora/SKILL.md
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model-trainer/SKILL.md
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n8n-code-javascript/SKILL.md
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n8n-code-python/SKILL.md
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n8n-expression-syntax/SKILL.md
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n8n-mcp-tools-expert/SKILL.md
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n8n-node-configuration/SKILL.md
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n8n-validation-expert/SKILL.md
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n8n-workflow-patterns/SKILL.md
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obsidian-agent-skill/SKILL.md
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onboarding-cro/SKILL.md
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openai-knowledge/SKILL.md
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page-cro/SKILL.md
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paid-ads/SKILL.md
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paywall-upgrade-cro/SKILL.md
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pinocchio-development/SKILL.md
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popup-cro/SKILL.md
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pricing-strategy/SKILL.md
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programmatic-seo/SKILL.md
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raydium/SKILL.md
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referral-program/SKILL.md
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remotion/SKILL.md
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schema-markup/SKILL.md
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seo-audit/SKILL.md
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signup-flow-cro/SKILL.md
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skill-boilerplate-skill/SKILL.md
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social-content/SKILL.md
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solana-agent-kit/SKILL.md
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solana-kit/SKILL.md
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solana-kit-migration/SKILL.md
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spec-to-plan/SKILL.md
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swift-concurrency-expert/SKILL.md
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swiftui-liquid-glass/SKILL.md
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swiftui-ui-patterns/SKILL.md
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swiftui-view-refactor/SKILL.md
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things3-agent-skill/SKILL.md
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vulnhunter/SKILL.md
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wordpress-plugin-core/SKILL.md
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wordpress-router/SKILL.md
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wp-abilities-api/SKILL.md
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wp-block-development/SKILL.md
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wp-block-themes/SKILL.md
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wp-interactivity-api/SKILL.md
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wp-performance/SKILL.md
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wp-phpstan/SKILL.md
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wp-playground/SKILL.md
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wp-plugin-development/SKILL.md
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wp-project-triage/SKILL.md
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Verified commit c68b078bdf270d81272face3b8bebcd707bb3ecc
git clone --filter=blob:none --no-checkout https://github.com/eugenepyvovarov/mcpbundler-agent-skills-marketplace.git .hotskills/eugenepyvovarov-mcpbundler-agent-skills-marketplace && git -C .hotskills/eugenepyvovarov-mcpbundler-agent-skills-marketplace checkout --detach c68b078bdf270d81272face3b8bebcd707bb3ecc
# Copy each selected skill directory from .hotskills/eugenepyvovarov-mcpbundler-agent-skills-marketplace into .claude/skills/<skill-name>/Heat
0.4- 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
- Web upvotesNot available
- Weekly Hot picksNot 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
- ab-test-setup
ab-test-setup - agent-browser
agent-browser - analytics-tracking
analytics-tracking - brainstorming
brainstorming - browser-use
browser-use - c4-architecture
c4-architecture - code-recon
code-recon - competitor-alternatives
competitor-alternatives - copy-editing
copy-editing - copywriting
copywriting - crafting-effective-readmes
crafting-effective-readmes - dflow
dflow - drift-protocol
drift-protocol - email-sequence
email-sequence - enterprise-readiness
enterprise-readiness-skill - epub-translate
epub-translate - example-skill
example-skill - form-cro
form-cro - free-tool-strategy
free-tool-strategy - git-workflow
git-workflow-skill - helius
helius - hugging-face-cli
hf-cli - hugging-face-tool-builder
hf-tool-builder - hugging-face-evaluation
hugging-face-evaluation-manager - hugging-face-paper-publisher
hugging-face-paper-publisher - kamino
kamino - launch-strategy
launch-strategy - magicblock
magicblock - marketing-ideas
marketing-ideas - marketing-psychology
marketing-psychology - mermaid-diagrams
mermaid-diagrams - meteora
meteora - hugging-face-model-trainer
model-trainer - n8n-code-javascript
n8n-code-javascript - n8n-code-python
n8n-code-python - n8n-expression-syntax
n8n-expression-syntax - n8n-mcp-tools-expert
n8n-mcp-tools-expert - n8n-node-configuration
n8n-node-configuration - n8n-validation-expert
n8n-validation-expert - n8n-workflow-patterns
n8n-workflow-patterns - obsidian-vault-manager
obsidian-agent-skill - onboarding-cro
onboarding-cro - openai-knowledge
openai-knowledge - page-cro
page-cro - paid-ads
paid-ads - paywall-upgrade-cro
paywall-upgrade-cro - pinocchio-development
pinocchio-development - popup-cro
popup-cro - pricing-strategy
pricing-strategy - programmatic-seo
programmatic-seo - raydium
raydium - referral-program
referral-program - remotion-best-practices
remotion - schema-markup
schema-markup - seo-audit
seo-audit - signup-flow-cro
signup-flow-cro - skill-boilerplate
skill-boilerplate-skill - social-content
social-content - solana-agent-kit
solana-agent-kit - solana-kit
solana-kit - solana-kit-migration
solana-kit-migration - spec-to-plan
spec-to-plan - swift-concurrency-expert
swift-concurrency-expert - swiftui-liquid-glass
swiftui-liquid-glass - swiftui-ui-patterns
swiftui-ui-patterns - swiftui-view-refactor
swiftui-view-refactor - things3-manager
things3-agent-skill - vulnhunter
vulnhunter - wordpress-plugin-core
wordpress-plugin-core - wordpress-router
wordpress-router - wp-abilities-api
wp-abilities-api - wp-block-development
wp-block-development - wp-block-themes
wp-block-themes - wp-interactivity-api
wp-interactivity-api - wp-performance
wp-performance - wp-phpstan
wp-phpstan - wp-playground
wp-playground - wp-plugin-development
wp-plugin-development - wp-project-triage
wp-project-triage - wp-wpcli-and-ops
wp-wpcli-and-ops - writing-clearly-and-concisely
writing-clearly-and-concisely - x-bookmarks-manager
x-bookmarks-agent-skill
How it works
ab-test-setup
When your agent uses it
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.
What it loads into context
Frontmatter
82 tokensAlways available to the agent
SKILL.md
1,663 tokensWhen the skill is activated
Reference documents
3,743 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Initial Assessment
- Core Principles
- Hypothesis Framework
- Test Types
- Sample Size
- Metrics Selection
- Designing Variants
- Traffic Allocation
- Implementation
- Running the Test
- Analyzing Results
- Documentation
- Common Mistakes
- Task-Specific Questions
- Related Skills
Files
../.claude-plugin/marketplace.jsonasset68,859 bytes../.claude-plugin/marketplace.jsonasset68,859 bytes../.claude-plugin/marketplace.jsonasset68,859 bytes../.claude-plugin/marketplace.jsonasset68,859 bytes../.claude-plugin/marketplace.jsonasset68,859 bytes../.claude-plugin/marketplace.jsonasset68,859 bytes../.claude-plugin/marketplace.jsonasset68,859 bytesSKILL.mdcore7,074 bytesreferences/sample-size-guide.mddoc7,068 bytesreferences/test-templates.mddoc6,250 bytes../wordpress-plugin-core/.claude-plugin/plugin.jsonasset667 bytes
Read SKILL.md
# A/B Test Setup
You are an expert in experimentation and A/B testing. Your goal is to help design tests that produce statistically valid, actionable results.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before designing a test, understand:
1. **Test Context** - What are you trying to improve? What change are you considering?
2. **Current State** - Baseline conversion rate? Current traffic volume?
3. **Constraints** - Technical complexity? Timeline? Tools available?View the complete source on GitHubagent-browser
When your agent uses it
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
What it loads into context
Frontmatter
120 tokensAlways available to the agent
SKILL.md
2,254 tokensWhen the skill is activated
Reference documents
7,560 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Workflow
- Essential Commands
- Common Patterns
- Ref Lifecycle (Important)
- Semantic Locators (Alternative to Refs)
- JavaScript Evaluation (eval)
- Deep-Dive Documentation
- Ready-to-Use Templates
Scripts executed separately
templates/authenticated-session.shtemplates/capture-workflow.shtemplates/form-automation.sh
Files
SKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesSKILL.mdcore9,837 bytesreferences/authentication.mddoc5,023 bytesreferences/commands.mddoc9,559 bytesreferences/proxy-support.mddoc4,686 bytesreferences/session-management.mddoc4,337 bytesreferences/snapshot-refs.mddoc4,299 bytesreferences/video-recording.mddoc3,569 bytestemplates/authenticated-session.shruns3,399 bytestemplates/capture-workflow.shruns1,832 bytestemplates/form-automation.shruns1,838 bytes
Read SKILL.md
# Browser Automation with agent-browser
## Core Workflow
Every browser automation follows this pattern:
1. **Navigate**: `agent-browser open <url>`
2. **Snapshot**: `agent-browser snapshot -i` (get element refs like `@e1`, `@e2`)
3. **Interact**: Use refs to click, fill, select
4. **Re-snapshot**: After navigation or DOM changes, get fresh refs
```bash
agent-browser open https://example.com/form
agent-browser snapshot -iView the complete source on GitHubanalytics-tracking
When your agent uses it
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.
What it loads into context
Frontmatter
95 tokensAlways available to the agent
SKILL.md
1,818 tokensWhen the skill is activated
Reference documents
5,096 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Initial Assessment
- Core Principles
- Tracking Plan Framework
- Event Naming Conventions
- Essential Events
- Event Properties
- GA4 Implementation
- Google Tag Manager
- UTM Parameter Strategy
- Debugging and Validation
- Privacy and Compliance
- Output Format
- Task-Specific Questions
- Tool Integrations
- Related Skills
Files
SKILL.mdcore7,954 bytesSKILL.mdcore7,954 bytesreferences/event-library.mddoc8,208 bytesreferences/ga4-implementation.mddoc5,825 bytesreferences/gtm-implementation.mddoc7,226 bytes
Read SKILL.md
# Analytics Tracking
You are an expert in analytics implementation and measurement. Your goal is to help set up tracking that provides actionable insights for marketing and product decisions.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before implementing tracking, understand:
1. **Business Context** - What decisions will this data inform? What are key conversions?
2. **Current State** - What tracking exists? What tools are in use?
3. **Technical Context** - What's the tech stack? Any privacy/compliance requirements?View the complete source on GitHubbrainstorming
When your agent uses it
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
What it loads into context
Frontmatter
40 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
- Overview
- Anti-Pattern: "This Is Too Simple To Need A Design"
- Checklist
- Process Flow
- The Process
- After the Design
- Key Principles
Files
SKILL.mdcore4,690 bytes
Read SKILL.md
# Brainstorming Ideas Into Designs
## Overview
Help turn ideas into fully formed designs and specs through natural collaborative dialogue.
Start by understanding the current project context, then ask questions one at a time to refine the idea. Once you understand what you're building, present the design and get user approval.
<HARD-GATE>
Do NOT invoke any implementation skill, write any code, scaffold any project, or take any implementation action until you have presented a design and the user has approved it. This applies to EVERY project regardless of perceived simplicity.
</HARD-GATE>
## Anti-Pattern: "This Is Too Simple To Need A Design"
View the complete source on GitHubbrowser-use
When your agent uses it
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
7,100 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
- Installation
- Setup
- Quick Start
- Core Workflow
- Browser Modes
- Commands
- Exposing Local Dev Servers
- Running Subagents (Remote Mode)
- Global Options
- API Key Configuration
- Examples
- Common Patterns
- Tips
- Troubleshooting
- Cleanup
Files
SKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytesSKILL.mdcore30,448 bytes
Read SKILL.md
# Browser Automation with browser-use CLI
The `browser-use` command provides fast, persistent browser automation. It maintains browser sessions across commands, enabling complex multi-step workflows.
## Installation
```bash
# Run without installing (recommended for one-off use)
uvx "browser-use[cli]" open https://example.com
# Or install permanently
uv pip install "browser-use[cli]"
# Install browser dependencies (Chromium)View the complete source on GitHubc4-architecture
When your agent uses it
Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
2,594 tokensWhen the skill is activated
Reference documents
13,517 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow
- C4 Diagram Levels
- Quick Start Examples
- Element Syntax
- Styling and Layout
- Best Practices
- Microservices Guidelines
- Output Location
- Audience-Appropriate Detail
- References
Files
README.mddoc7,072 bytesSKILL.mdcore10,575 bytesreferences/advanced-patterns.mddoc18,346 bytesreferences/c4-syntax.mddoc14,564 bytesreferences/common-mistakes.mddoc12,441 bytes
Read SKILL.md
# C4 Architecture Documentation
Generate software architecture documentation using C4 model diagrams in Mermaid syntax.
## Workflow
1. **Understand scope** - Determine which C4 level(s) are needed based on audience
2. **Analyze codebase** - Explore the system to identify components, containers, and relationships
3. **Generate diagrams** - Create Mermaid C4 diagrams at appropriate abstraction levels
4. **Document** - Write diagrams to markdown files with explanatory context
## C4 Diagram Levels
Select the appropriate level based on the documentation need:View the complete source on GitHubWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
3,503 tokensWhen the skill is activated
Reference documents
9,657 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- The Recon Pyramid
- Phase 1: Overview Reconnaissance
- Phase 2: Architecture Mapping
- Phase 3: Module Deep Dive
- Phase 4: Function-Level Analysis
- Phase 5: Detail Reconnaissance
- Output: Context Document
- Quick Start Commands
- Skill Files
- Guidelines
Files
SKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesSKILL.mdcore14,762 bytesdocs/advanced-techniques.mddoc9,198 bytesexamples/web-app-recon/fastapi-example.mddoc15,107 bytesresources/question-bank.mddoc6,696 bytesresources/recon-checklist.mddoc5,954 bytestemplates/context-document.mddoc5,554 bytes
Read SKILL.md
# CodeRecon - Deep Architectural Context Building
Build comprehensive architectural understanding through ultra-granular code analysis. Designed for security auditors, code reviewers, and developers who need to rapidly understand unfamiliar codebases before diving deep.
## Overview
CodeRecon is a systematic approach to codebase reconnaissance that builds layered understanding from high-level architecture down to implementation details. Inspired by Trail of Bits' audit-context-building methodology.
### Why CodeRecon?
Before you can find vulnerabilities, you need to understand:
- How the system is architected
- Where data flows
- What the trust boundaries are
- Where security-critical logic livesView the complete source on GitHubcompetitor-alternatives
When your agent uses it
When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' or 'competitive landing pages.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.
What it loads into context
Frontmatter
115 tokensAlways available to the agent
SKILL.md
1,797 tokensWhen the skill is activated
Reference documents
3,002 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Initial Assessment
- Core Principles
- Page Formats
- Essential Sections
- Content Architecture
- Research Process
- SEO Considerations
- Output Format
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore8,064 bytesSKILL.mdcore8,064 bytesSKILL.mdcore8,064 bytesreferences/content-architecture.mddoc7,370 bytesreferences/templates.mddoc5,084 bytes
Read SKILL.md
# Competitor & Alternative Pages
You are an expert in creating competitor comparison and alternative pages. Your goal is to build pages that rank for competitive search terms, provide genuine value to evaluators, and position your product effectively.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before creating competitor pages, understand:
1. **Your Product**
- Core value proposition
- Key differentiatorsView the complete source on GitHubcopy-editing
When your agent uses it
When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
3,021 tokensWhen the skill is activated
Reference documents
2,011 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Philosophy
- The Seven Sweeps Framework
- Quick-Pass Editing Checks
- Copy Editing Checklist
- Common Copy Problems & Fixes
- Working with Copy Sweeps
- References
- Task-Specific Questions
- Related Skills
- When to Use Each Skill
Files
SKILL.mdcore13,215 bytesreferences/plain-english-alternatives.mddoc8,146 bytes
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# Copy Editing
You are an expert copy editor specializing in marketing and conversion copy. Your goal is to systematically improve existing copy through focused editing passes while preserving the core message.
## Core Philosophy
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before editing. Use brand voice and customer language from that context to guide your edits.
Good copy editing isn't about rewriting—it's about enhancing. Each pass focuses on one dimension, catching issues that get missed when you try to fix everything at once.
**Key principles:**
- Don't change the core message; focus on enhancing it
- Multiple focused passes beat one unfocused reviewView the complete source on GitHubcopywriting
When your agent uses it
When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," or "CTA copy." For email copy, see email-sequence. For popup copy, see popup-cro.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
1,638 tokensWhen the skill is activated
Reference documents
3,034 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Writing
- Copywriting Principles
- Writing Style Rules
- Best Practices
- Page Structure Framework
- CTA Copy Guidelines
- Page-Specific Guidance
- Voice and Tone
- Output Format
- Related Skills
Files
SKILL.mdcore7,127 bytesreferences/copy-frameworks.mddoc7,428 bytesreferences/natural-transitions.mddoc5,179 bytes
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# Copywriting
You are an expert conversion copywriter. Your goal is to write marketing copy that is clear, compelling, and drives action.
## Before Writing
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
### 1. Page Purpose
- What type of page? (homepage, landing page, pricing, feature, about)
- What is the ONE primary action you want visitors to take?View the complete source on GitHubcrafting-effective-readmes
When your agent uses it
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
630 tokensWhen the skill is activated
Reference documents
13,372 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Process
- Project Types
- Essential Sections (All Types)
- References
Files
README.mddoc6,186 bytesSKILL.mdcore2,676 bytesreferences/art-of-readme.mddoc24,440 bytesreferences/make-a-readme.mddoc6,679 bytesreferences/standard-readme-example-maximal.mddoc1,586 bytesreferences/standard-readme-example-minimal.mddoc169 bytesreferences/standard-readme-spec.mddoc9,864 bytessection-checklist.mddoc680 bytesstyle-guide.mddoc434 bytestemplates/internal.mddoc1,952 bytestemplates/oss.mddoc1,667 bytestemplates/personal.mddoc1,078 bytestemplates/xdg-config.mddoc1,478 bytesusing-references.mddoc1,325 bytes
Read SKILL.md
# Crafting Effective READMEs
## Overview
READMEs answer questions your audience will have. Different audiences need different information - a contributor to an OSS project needs different context than future-you opening a config folder.
**Always ask:** Who will read this, and what do they need to know?
## Process
### Step 1: Identify the Task
**Ask:** "What README task are you working on?"
View the complete source on GitHubWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
3,893 tokensWhen the skill is activated
Reference documents
12,200 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Start
- API Reference
- Swap Modes Comparison
- Execution Modes
- Prediction Markets
- Common Token Mints
- Priority Fees
- Error Handling
- Platform Fees
- Jito Integration
- DFlow Swap Orchestrator
- Skill Structure
- Guidelines
- Resources
Scripts executed separately
examples/declarative-swaps/intent-swap.tsexamples/imperative-swaps/basic-swap.tsexamples/trade-api/unified-trade.tstemplates/swap-client.ts
Files
SKILL.mdcore15,032 bytesdocs/advanced-patterns.mddoc10,858 bytesdocs/troubleshooting.mddoc9,652 bytesexamples/declarative-swaps/intent-swap.tsruns7,357 bytesexamples/imperative-swaps/basic-swap.tsruns5,536 bytesexamples/trade-api/unified-trade.tsruns9,581 bytesresources/api-reference.mddoc10,347 bytesresources/error-codes.mddoc9,260 bytesresources/token-mints.mddoc4,483 bytestemplates/swap-client.tsruns11,174 bytes
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# DFlow - Next-Generation Solana Trading Infrastructure
Comprehensive guide for building trading applications on Solana using DFlow's Swap API. Enables token swaps with optimal routing, lower slippage, and access to both spot markets and prediction markets.
## Overview
DFlow provides a suite of APIs for next-generation trading on Solana:
- **Imperative Swaps** - Full control over route selection at signature time
- **Declarative Swaps** - Intent-based swaps with deferred route optimization
- **Trade API** - Unified interface for spot and prediction market trading
- **Prediction Markets** - Infrastructure for trading outcome tokens
### Base URL
```
https://quote-api.dflow.netView the complete source on GitHubdrift-protocol
When your agent uses it
Complete Drift Protocol SDK for building perpetual futures, spot trading, and DeFi applications on Solana. Use when building trading bots, integrating Drift markets, managing positions, or working with vaults.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
4,867 tokensWhen the skill is activated
Reference documents
26,601 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Start
- Core Concepts
- Trading Operations
- Deposits and Withdrawals
- Position Management
- Market Data
- Events
- Jupiter Swaps
- Sub-Accounts
- Advanced: Swift Protocol (Orderless Trades)
- Advanced: Builder Codes (DBC)
- Error Handling
- Resources
- Skill Structure
Scripts executed separately
templates/trading-bot-template.ts
Files
SKILL.mdcore20,053 bytesSKILL.mdcore20,053 bytesSKILL.mdcore20,053 bytesSKILL.mdcore20,053 bytesdocs/market-making.mddoc7,403 bytesdocs/troubleshooting.mddoc6,471 bytesdocs/vaults.mddoc4,796 bytesexamples/basic-setup/README.mddoc5,737 bytesexamples/deposits-withdrawals/README.mddoc6,650 bytesexamples/events/README.mddoc6,698 bytesexamples/jupiter-swaps/README.mddoc5,299 bytesexamples/orders/README.mddoc8,250 bytesexamples/positions/README.mddoc8,057 bytesexamples/vaults/README.mddoc6,860 bytesresources/drift-client-api.mddoc11,942 bytesresources/precision-constants.mddoc4,078 bytesresources/types-reference.mddoc9,884 bytesresources/user-api.mddoc11,737 bytestemplates/trading-bot-template.tsruns13,332 bytes
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# Drift Protocol SDK Development Guide
A comprehensive guide for building Solana applications with the Drift Protocol SDK - the leading perpetual futures and spot trading protocol on Solana.
## Overview
Drift Protocol is a decentralized exchange on Solana offering:
- **Perpetual Futures**: Up to 20x leverage on crypto assets
- **Spot Trading**: Borrow/lend and margin trading
- **Cross-Collateral**: Use multiple assets as collateral
- **Vaults**: Delegated trading pools
- **Jupiter Integration**: Direct spot swaps
## Quick StartView the complete source on GitHubemail-sequence
When your agent uses it
When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," or "lifecycle emails." For in-app onboarding, see onboarding-cro.
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
2,040 tokensWhen the skill is activated
Reference documents
4,862 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Initial Assessment
- Core Principles
- Email Sequence Strategy
- Sequence Types Overview
- Email Types by Category
- Email Copy Guidelines
- Output Format
- Task-Specific Questions
- Tool Integrations
- Related Skills
Files
SKILL.mdcore7,900 bytesreferences/copy-guidelines.mddoc2,051 bytesreferences/email-types.mddoc13,515 bytesreferences/sequence-templates.mddoc3,774 bytes
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# Email Sequence Design
You are an expert in email marketing and automation. Your goal is to create email sequences that nurture relationships, drive action, and move people toward conversion.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before creating a sequence, understand:
1. **Sequence Type**
- Welcome/onboarding sequence
- Lead nurture sequenceView the complete source on GitHubenterprise-readiness
When your agent uses it
Assess and enhance software projects for enterprise-grade security, quality, and automation. This skill should be used when evaluating projects for production readiness, implementing supply chain security (SLSA, signing, SBOMs), hardening CI/CD pipelines, establishing quality gates, reviewing code or PRs, writing documentation (ADRs, changelogs, migration guides), or pursuing OpenSSF Best Practices Badge. Aligned with OpenSSF Scorecard, Best Practices Badge (all levels), SLSA, and S2C2F. By Netresearch.
What it loads into context
Frontmatter
118 tokensAlways available to the agent
SKILL.md
6,354 tokensWhen the skill is activated
Reference documents
46,794 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- MANDATORY Requirements
- OpenSSF Scorecard Optimization Playbook
- Assessment Workflow
- Post-Implementation Verification
- Continuous Improvement
- Dependency CVE Workflow
- Reference Files (Load Based on Stack)
- Quality & Process References (Language-Agnostic)
- Implementation Guides
- Automation Scripts
- Document Templates
- CI Workflow Templates
- Scoring Interpretation
- Code Review Quick Checklist
- Critical Rules
- Related Skills
- Resources
Scripts executed separately
scripts/add-spdx-headers.shscripts/analyze-bus-factor.shscripts/check-branch-coverage.shscripts/check-coverage-threshold.shscripts/check-tls-minimum.shscripts/verify-badge-criteria.shscripts/verify-reproducible-build.shscripts/verify-review-requirements.shscripts/verify-signed-tags.shscripts/verify-spdx-headers.sh
Files
SKILL.mdcore25,460 bytesSKILL.mdcore25,460 bytesSKILL.mdcore25,460 bytesSKILL.mdcore25,460 bytesSKILL.mdcore25,460 bytesSKILL.mdcore25,460 bytesSKILL.mdcore25,460 bytesSKILL.mdcore25,460 bytesSKILL.mdcore25,460 bytesSKILL.mdcore25,460 bytescheckpoints.yamlasset3,798 bytesreferences/2fa-enforcement.mddoc6,528 bytesreferences/badge-display.mddoc6,823 bytesreferences/branch-coverage.mddoc9,443 bytesreferences/ci-patterns.mddoc13,123 bytesreferences/code-review.mddoc7,664 bytesreferences/dco-implementation.mddoc4,296 bytesreferences/documentation.mddoc7,832 bytesreferences/dynamic-analysis.mddoc10,248 bytesreferences/general.mddoc9,130 bytesreferences/github.mddoc19,762 bytesreferences/go.mddoc7,296 bytesreferences/openssf-badge-gold.mddoc10,034 bytesreferences/openssf-badge-silver.mddoc13,160 bytesreferences/quick-start-guide.mddoc4,885 bytesreferences/reproducible-builds.mddoc4,527 bytesreferences/security-hardening.mddoc12,572 bytesreferences/signed-releases.mddoc5,026 bytesreferences/slsa-provenance.mddoc8,767 bytesreferences/solo-maintainer-guide.mddoc8,059 bytesreferences/sonarcloud.mddoc9,696 bytesreferences/test-invocation.mddoc8,516 bytesscripts/add-spdx-headers.shruns2,984 bytesscripts/analyze-bus-factor.shruns3,224 bytesscripts/check-branch-coverage.shruns4,381 bytesscripts/check-coverage-threshold.shruns2,132 bytesscripts/check-tls-minimum.shruns6,043 bytesscripts/verify-badge-criteria.shruns5,342 bytesscripts/verify-reproducible-build.shruns3,692 bytesscripts/verify-review-requirements.shruns5,746 bytesscripts/verify-signed-tags.shruns3,761 bytesscripts/verify-spdx-headers.shruns3,115 bytes
Read SKILL.md
# Enterprise Readiness Assessment
## When to Use
- Evaluating projects for production/enterprise readiness
- Implementing supply chain security (SLSA, signing, SBOMs)
- Hardening CI/CD pipelines
- Establishing quality gates
- Pursuing OpenSSF Best Practices Badge (Passing/Silver/Gold)
- Reviewing code or PRs for quality
- Writing ADRs, changelogs, or migration guides
- Configuring Git hooks or CI pipelines
---View the complete source on GitHubepub-translate
When your agent uses it
Translate EPUB (.epub) ebooks to another language by unpacking the EPUB container, extracting XHTML block-level fragments into JSONL translation units, translating them via the OpenAI Responses API (e.g. gpt-5.1 / gpt-5-mini) while preserving markup, updating language metadata, and repackaging a valid EPUB (mimetype-first and uncompressed). Use when Codex needs to translate and rebuild EPUB files.
What it loads into context
Frontmatter
96 tokensAlways available to the agent
SKILL.md
1,233 tokensWhen the skill is activated
Reference documents
580 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow
- Commands
- JSONL formats
- Translation rules (markup-safe)
- Local data and env
Scripts executed separately
scripts/epub-translatescripts/epub_translate.py
Files
.gitignoreasset57 bytesLICENSEasset1,073 bytesREADME.mddoc2,225 bytesSKILL.mdcore4,466 bytesscripts/epub-translateruns561 bytesscripts/epub_translate.pyruns45,250 bytes
Read SKILL.md
# EPUB Translate
## Workflow
1. One-time setup (writes `.skills-data/epub-translate/.env`): `scripts/epub-translate setup`
2. Extract translation units: `scripts/epub-translate extract --epub /path/book.epub`
3. Translate via OpenAI API: `scripts/epub-translate translate --job-dir <job-dir> --target-lang <bcp47> [--fraction 0.1]`
4. Apply + repack: `scripts/epub-translate apply --job-dir <job-dir> --translations <job-dir>/translations.jsonl --target-lang <bcp47> --out-epub /path/book.<bcp47>.epub`
5. Optional: validate output: `scripts/epub-translate validate --epub /path/book.<bcp47>.epub`
## Commands
- `scripts/epub-translate setup`:
- Prompts for `OPENAI_API_KEY` (saved to `.skills-data/epub-translate/.env`).
- Prompts for default `OPENAI_MODEL` (e.g. `gpt-5.1`, `gpt-5-mini`).
- `scripts/epub-translate extract ...`:View the complete source on GitHubexample-skill
When your agent uses it
An example skill demonstrating the basic structure and format
What it loads into context
Frontmatter
17 tokensAlways available to the agent
SKILL.md
168 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
- Overview
- Instructions
- Examples
- Guidelines
- Notes
Files
SKILL.mdcore848 bytes
Read SKILL.md
# Example Skill
This is an example skill that demonstrates how to structure a skill for Claude Code.
## Overview
Use this skill as a reference when creating your own skills. It shows the required frontmatter format and common sections.
## Instructions
1. Read and understand the user's request
2. Apply the skill's specialized knowledge
3. Provide clear, actionable output
View the complete source on GitHubform-cro
When your agent uses it
When the user wants to optimize any form that is NOT signup/registration — including lead capture forms, contact forms, demo request forms, application forms, survey forms, or checkout forms. Also use when the user mentions "form optimization," "lead form conversions," "form friction," "form fields," "form completion rate," or "contact form." For signup/registration forms, see signup-flow-cro. For popups containing forms, see popup-cro.
What it loads into context
Frontmatter
110 tokensAlways available to the agent
SKILL.md
2,453 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
- Initial Assessment
- Core Principles
- Field-by-Field Optimization
- Form Layout Optimization
- Multi-Step Forms
- Error Handling
- Submit Button Optimization
- Trust and Friction Reduction
- Form Types: Specific Guidance
- Mobile Optimization
- Measurement
- Output Format
- Experiment Ideas
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore10,700 bytes
Read SKILL.md
# Form CRO
You are an expert in form optimization. Your goal is to maximize form completion rates while capturing the data that matters.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, identify:
1. **Form Type**
- Lead capture (gated content, newsletter)
- Contact formView the complete source on GitHubfree-tool-strategy
When your agent uses it
When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," or "free resource." This skill bridges engineering and marketing — useful for founders and technical marketers.
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
1,257 tokensWhen the skill is activated
Reference documents
836 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Initial Assessment
- Core Principles
- Tool Types Overview
- Ideation Framework
- Lead Capture Strategy
- SEO Considerations
- Build vs. Buy
- MVP Scope
- Evaluation Scorecard
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore5,569 bytesreferences/tool-types.mddoc3,776 bytes
Read SKILL.md
# Free Tool Strategy (Engineering as Marketing)
You are an expert in engineering-as-marketing strategy. Your goal is to help plan and evaluate free tools that generate leads, attract organic traffic, and build brand awareness.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before designing a tool strategy, understand:
1. **Business Context** - What's the core product? Who is the target audience? What problems do they have?
2. **Goals** - Lead generation? SEO/traffic? Brand awareness? Product education?View the complete source on GitHubgit-workflow
When your agent uses it
Agent Skill: Git workflow best practices for teams and CI/CD. This skill should be used when establishing branching strategies, implementing Conventional Commits, creating or reviewing PRs, managing PR review threads, merging PRs with signed commits, handling merge conflicts, or integrating Git with CI/CD. By Netresearch.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
829 tokensWhen the skill is activated
Reference documents
16,946 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Expertise Areas
- Reference Files
- Conventional Commits (Quick Reference)
- Branch Naming
- GitHub Flow (Default)
- Verification
- GitHub Immutable Releases
Scripts executed separately
scripts/verify-git-workflow.sh
Files
SKILL.mdcore3,622 bytesSKILL.mdcore3,622 bytesSKILL.mdcore3,622 bytescheckpoints.yamlasset5,191 bytesreferences/advanced-git.mddoc10,000 bytesreferences/branching-strategies.mddoc8,749 bytesreferences/ci-cd-integration.mddoc13,646 bytesreferences/commit-conventions.mddoc9,970 bytesreferences/github-releases.mddoc6,632 bytesreferences/pull-request-workflow.mddoc15,304 bytesscripts/verify-git-workflow.shruns7,478 bytes
Read SKILL.md
# Git Workflow Skill
Expert patterns for Git version control: branching, commits, collaboration, and CI/CD.
## Expertise Areas
- **Branching**: Git Flow, GitHub Flow, Trunk-based development
- **Commits**: Conventional Commits, semantic versioning
- **Collaboration**: PR workflows, code review, merge strategies, thread resolution
- **CI/CD**: GitHub Actions, GitLab CI, branch protection
## Reference Files
Detailed documentation for each area:View the complete source on GitHubhelius
When your agent uses it
Comprehensive guide for Helius - Solana's leading RPC and API infrastructure provider. Covers RPC nodes, DAS (Digital Asset Standard) API, Enhanced Transactions, Priority Fees, Webhooks, ZK Compression, LaserStream gRPC, and the Helius SDK for building high-performance Solana applications
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
4,272 tokensWhen the skill is activated
Reference documents
36,160 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Start
- RPC Infrastructure
- DAS API (Digital Asset Standard)
- Enhanced Transactions API
- Priority Fee API
- Webhooks
- ZK Compression API
- Transaction Sending
- WebSocket Subscriptions
- LaserStream (gRPC)
- Staking API
- SDK Namespaces
- Error Handling
- Rate Limits & Pricing
- Best Practices
- Resources
- Skill Structure
Scripts executed separately
templates/helius-setup.ts
Files
SKILL.mdcore17,533 bytesSKILL.mdcore17,533 bytesSKILL.mdcore17,533 bytesSKILL.mdcore17,533 bytesSKILL.mdcore17,533 bytesdocs/troubleshooting.mddoc10,574 bytesexamples/basic-rpc/README.mddoc9,810 bytesexamples/fetch-nfts/README.mddoc10,443 bytesexamples/send-transactions/README.mddoc15,989 bytesexamples/streaming/README.mddoc14,054 bytesexamples/webhooks/README.mddoc13,590 bytesresources/das-api.mddoc10,674 bytesresources/enhanced-apis.mddoc11,343 bytesresources/rpc-methods.mddoc13,127 bytesresources/sdk-reference.mddoc11,142 bytesresources/webhooks.mddoc12,956 bytesresources/zk-compression.mddoc11,864 bytestemplates/helius-setup.tsruns12,070 bytes
Read SKILL.md
# Helius Development Guide
Build high-performance Solana applications with Helius - the leading RPC and API infrastructure provider with 99.99% uptime, global edge nodes, and developer-first APIs.
## Overview
Helius provides:
- **RPC Infrastructure**: Globally distributed nodes with ultra-low latency
- **DAS API**: Unified NFT and token data (compressed & standard)
- **Enhanced Transactions**: Parsed, human-readable transaction data
- **Priority Fee API**: Real-time fee recommendations
- **Webhooks**: Event-driven blockchain monitoring
- **ZK Compression**: Compressed account and token APIs
- **LaserStream**: gRPC-based real-time data streamingView the complete source on GitHubhugging-face-cli
When your agent uses it
Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
1,804 tokensWhen the skill is activated
Reference documents
9,398 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Command Reference
- Core Commands
- Common Patterns
- Key Options
- References
Files
SKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesSKILL.mdcore7,428 bytesreferences/commands.mddoc27,188 bytesreferences/examples.mddoc8,542 bytes
Read SKILL.md
# Hugging Face CLI
The `hf` CLI provides direct terminal access to the Hugging Face Hub for downloading, uploading, and managing repositories, cache, and compute resources.
## Quick Command Reference
| Task | Command |
|------|---------|
| Login | `hf auth login` |
| Download model | `hf download <repo_id>` |
| Download to folder | `hf download <repo_id> --local-dir ./path` |
| Upload folder | `hf upload <repo_id> . .` |
| Create repo | `hf repo create <name>` |
| Create tag | `hf repo tag create <repo_id> <tag>` |View the complete source on GitHubhugging-face-tool-builder
When your agent uses it
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
1,214 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
- Script Rules
- Sample Scripts
- High Level Endpoints
- Accessing the API
- Using the HF command line tool
Scripts executed separately
references/baseline_hf_api.pyreferences/baseline_hf_api.shreferences/baseline_hf_api.tsxreferences/find_models_by_paper.shreferences/hf_enrich_models.shreferences/hf_model_card_frontmatter.shreferences/hf_model_papers_auth.sh
Files
SKILL.mdcore5,323 bytesSKILL.mdcore5,323 bytesSKILL.mdcore5,323 bytesSKILL.mdcore5,323 bytesSKILL.mdcore5,323 bytesSKILL.mdcore5,323 bytesreferences/baseline_hf_api.pyruns1,369 bytesreferences/baseline_hf_api.shruns707 bytesreferences/baseline_hf_api.tsxruns1,265 bytesreferences/find_models_by_paper.shruns7,695 bytesreferences/hf_enrich_models.shruns2,267 bytesreferences/hf_model_card_frontmatter.shruns4,548 bytesreferences/hf_model_papers_auth.shruns4,840 bytes
Read SKILL.md
# Hugging Face API Tool Builder
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the `hf` command line tool. Model and Dataset cards can be accessed from repositories directly.
## Script Rules
Make sure to follow these rules:
- Scripts must take a `--help` command line argument to describe their inputs and outputs
- Non-destructive scripts should be tested before handing over to the User
- Shell scripts are preferred, but use Python or TSX if complexity or user need requires it.
[Credential-related source omitted]
- Investigate the shape of the API results before commiting to a final design; make use of piping and chaining where composability would be an advantage - prefer simple solutions where possible.
- Share usage examples once complete.
View the complete source on GitHubhugging-face-evaluation
When your agent uses it
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
What it loads into context
Frontmatter
58 tokensAlways available to the agent
SKILL.md
5,972 tokensWhen the skill is activated
Reference documents
3,340 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Integration with HF Ecosystem
- Core Dependencies
- Inference Provider Evaluation
- vLLM Custom Model Evaluation (GPU required)
- ⚠<U+FE0F> CRITICAL: Check for Existing PRs Before Creating New Ones
- 1. Inspect and Extract Evaluation Tables from README
- 2. Import from Artificial Analysis
- 3. Model-Index Management
- 4. Run Evaluations on HF Jobs (Inference Providers)
- 5. Run Custom Model Evaluations with vLLM (NEW)
Scripts executed separately
examples/artificial_analysis_to_hub.pyscripts/evaluation_manager.pyscripts/inspect_eval_uv.pyscripts/inspect_vllm_uv.pyscripts/lighteval_vllm_uv.pyscripts/run_eval_job.pyscripts/run_vllm_eval_job.pyscripts/test_extraction.py
Files
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Read SKILL.md
# Overview
This skill provides tools to add structured evaluation results to Hugging Face model cards. It supports multiple methods for adding evaluation data:
- Extracting existing evaluation tables from README content
- Importing benchmark scores from Artificial Analysis
- Running custom model evaluations with vLLM or accelerate backends (lighteval/inspect-ai)
## Integration with HF Ecosystem
- **Model Cards**: Updates model-index metadata for leaderboard integration
- **Artificial Analysis**: Direct API integration for benchmark imports
- **Papers with Code**: Compatible with their model-index specification
- **Jobs**: Run evaluations directly on Hugging Face Jobs with `uv` integration
- **vLLM**: Efficient GPU inference for custom model evaluation
- **lighteval**: HuggingFace's evaluation library with vLLM/accelerate backends
- **inspect-ai**: UK AI Safety Institute's evaluation frameworkView the complete source on GitHubhugging-face-paper-publisher
When your agent uses it
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
4,351 tokensWhen the skill is activated
Reference documents
10,104 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Integration with HF Ecosystem
- 1. Paper Page Management
- 2. Link Papers to Artifacts
- 3. Research Article Creation
- 4. Metadata Management
Scripts executed separately
scripts/paper_manager.py
Files
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Read SKILL.md
# Overview
This skill provides comprehensive tools for AI engineers and researchers to publish, manage, and link research papers on the Hugging Face Hub. It streamlines the workflow from paper creation to publication, including integration with arXiv, model/dataset linking, and authorship management.
## Integration with HF Ecosystem
- **Paper Pages**: Index and discover papers on Hugging Face Hub
- **arXiv Integration**: Automatic paper indexing from arXiv IDs
- **Model/Dataset Linking**: Connect papers to relevant artifacts through metadata
- **Authorship Verification**: Claim and verify paper authorship
- **Research Article Template**: Generate professional, modern scientific papers
# Version
1.0.0
# DependenciesView the complete source on GitHubkamino
When your agent uses it
Complete guide for Kamino Finance - Solana's leading DeFi protocol for lending, borrowing, liquidity management, and leverage trading. Covers klend-sdk (lending), kliquidity-sdk (automated liquidity strategies), scope-sdk (oracle aggregator), multiply/leverage operations, vaults, and obligation orders.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
6,423 tokensWhen the skill is activated
Reference documents
32,504 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Start
- Kamino Lending (klend-sdk)
- Leverage/Multiply Operations
- Obligation Orders
- Kamino Liquidity (kliquidity-sdk)
- Scope Oracle (scope-sdk)
- CLI Commands
- Program Addresses
- Reserve Configuration
- Error Handling
- Best Practices
- TypeScript Types
- Resources
- Skill Structure
Scripts executed separately
templates/full-integration.tstemplates/lending-setup.tstemplates/liquidity-setup.ts
Files
SKILL.mdcore26,312 bytesSKILL.mdcore26,312 bytesSKILL.mdcore26,312 bytesSKILL.mdcore26,312 bytesSKILL.mdcore26,312 bytesdocs/troubleshooting.mddoc9,536 bytesexamples/lending/borrow-repay.mddoc13,545 bytesexamples/lending/deposit-withdraw.mddoc10,819 bytesexamples/lending/leverage.mddoc16,259 bytesexamples/liquidity/strategy-management.mddoc15,759 bytesexamples/oracle/price-feeds.mddoc15,396 bytesresources/klend-api-reference.mddoc14,088 bytesresources/kliquidity-api-reference.mddoc17,501 bytesresources/program-addresses.mddoc5,716 bytesresources/scope-api-reference.mddoc12,307 bytestemplates/full-integration.tsruns15,046 bytestemplates/lending-setup.tsruns11,338 bytestemplates/liquidity-setup.tsruns12,673 bytes
Read SKILL.md
# Kamino Finance Development Guide
Build sophisticated DeFi applications on Solana with Kamino Finance - the comprehensive DeFi protocol offering lending, borrowing, automated liquidity management, leverage trading, and oracle aggregation.
## Overview
Kamino Finance provides:
- **Kamino Lend (K-Lend)**: Lending and borrowing protocol with isolated markets
- **Kamino Liquidity (K-Liquidity)**: Automated CLMM liquidity management strategies
- **Scope Oracle**: Oracle price aggregator for reliable pricing
- **Multiply/Leverage**: Leveraged long/short positions on assets
- **Vaults**: Yield-generating vault strategies
- **Obligation Orders**: Automated LTV-based and price-based order execution
View the complete source on GitHublaunch-strategy
When your agent uses it
When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' or 'product update.' This skill covers phased launches, channel strategy, and ongoing launch momentum.
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
2,636 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
- Before Starting
- Core Philosophy
- The ORB Framework
- Five-Phase Launch Approach
- Product Hunt Launch Strategy
- Post-Launch Product Marketing
- Ongoing Launch Strategy
- Launch Checklist
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore12,465 bytes
Read SKILL.md
# Launch Strategy
You are an expert in SaaS product launches and feature announcements. Your goal is to help users plan launches that build momentum, capture attention, and convert interest into users.
## Before Starting
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
---
## Core Philosophy
The best companies don't just launch once—they launch again and again. Every new feature, improvement, and update is an opportunity to capture attention and engage your audience.View the complete source on GitHubWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,775 tokensWhen the skill is activated
Reference documents
16,545 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Architecture
- Prerequisites
- Quick Start
- Key Concepts
- ER Validators (Devnet)
- Critical Rules
- Products
- Resources
- Skill Structure
Scripts executed separately
templates/client-template.ts
Files
SKILL.mdcore7,512 bytesSKILL.mdcore7,512 bytesdocs/advanced-patterns.mddoc9,712 bytesdocs/troubleshooting.mddoc8,147 bytesexamples/anchor-counter/README.mddoc7,106 bytesexamples/crank-automation/README.mddoc9,751 bytesexamples/delegation-flow/README.mddoc10,373 bytesexamples/vrf-randomness/README.mddoc9,235 bytesresources/api-reference.mddoc7,336 bytesresources/program-ids.mddoc4,246 bytestemplates/client-template.tsruns10,522 bytestemplates/program-template.rsasset5,368 bytes
Read SKILL.md
# MagicBlock Ephemeral Rollups Guide
A comprehensive guide for building high-performance Solana applications with MagicBlock Ephemeral Rollups - enabling sub-10ms latency and gasless transactions.
## Overview
MagicBlock Ephemeral Rollups (ER) are specialized SVM runtimes that enhance Solana with:
- **Sub-10ms latency** (vs ~400ms on base Solana)
- **Gasless transactions** for seamless UX
- **Full composability** with existing Solana programs
- **Horizontal scaling** via on-demand rollups
## Architecture
```View the complete source on GitHubmarketing-ideas
When your agent uses it
When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' or 'ideas to grow.' This skill provides 139 proven marketing approaches organized by category.
What it loads into context
Frontmatter
88 tokensAlways available to the agent
SKILL.md
1,171 tokensWhen the skill is activated
Reference documents
2,958 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How to Use This Skill
- Ideas by Category (Quick Reference)
- Implementation Tips
- Top Ideas by Use Case
- Output Format
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore4,805 bytesreferences/ideas-by-category.mddoc14,682 bytes
Read SKILL.md
# Marketing Ideas for SaaS
You are a marketing strategist with a library of 139 proven marketing ideas. Your goal is to help users find the right marketing strategies for their specific situation, stage, and resources.
## How to Use This Skill
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
When asked for marketing ideas:
1. Ask about their product, audience, and current stage if not clear
2. Suggest 3-5 most relevant ideas based on their context
3. Provide details on implementation for chosen ideas
4. Consider their resources (time, budget, team size)View the complete source on GitHubmarketing-psychology
When your agent uses it
When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application.
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
4,213 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
- How to Use This Skill
- Foundational Thinking Models
- Understanding Buyers & Human Psychology
- Influencing Behavior & Persuasion
- Pricing Psychology
- Design & Delivery Models
- Growth & Scaling Models
- Quick Reference
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore21,546 bytesSKILL.mdcore21,546 bytes
Read SKILL.md
# Marketing Psychology & Mental Models
You are an expert in applying psychological principles and mental models to marketing. Your goal is to help users understand why people buy, how to influence behavior ethically, and how to make better marketing decisions.
## How to Use This Skill
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before applying mental models. Use that context to tailor recommendations to the specific product and audience.
Mental models are thinking tools that help you make better decisions, understand customer behavior, and create more effective marketing. When helping users:
1. Identify which mental models apply to their situation
2. Explain the psychology behind the model
3. Provide specific marketing applicationsView the complete source on GitHubmermaid-diagrams
When your agent uses it
Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
1,692 tokensWhen the skill is activated
Reference documents
19,526 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Syntax Structure
- Diagram Type Selection Guide
- Quick Start Examples
- Detailed References
- Best Practices
- Configuration and Theming
- Exporting and Rendering
- Common Pitfalls
- When to Create Diagrams
Files
README.mddoc9,352 bytesSKILL.mdcore7,479 bytesreferences/advanced-features.mddoc10,365 bytesreferences/architecture-diagrams.mddoc4,858 bytesreferences/c4-diagrams.mddoc15,266 bytesreferences/class-diagrams.mddoc6,915 bytesreferences/erd-diagrams.mddoc12,348 bytesreferences/flowcharts.mddoc9,844 bytesreferences/sequence-diagrams.mddoc9,213 bytes
Read SKILL.md
# Mermaid Diagramming
Create professional software diagrams using Mermaid's text-based syntax. Mermaid renders diagrams from simple text definitions, making diagrams version-controllable, easy to update, and maintainable alongside code.
## Core Syntax Structure
All Mermaid diagrams follow this pattern:
```mermaid
diagramType
definition content
```
**Key principles:**View the complete source on GitHubmeteora
When your agent uses it
Complete Meteora DeFi SDK suite for building liquidity pools, AMMs, bonding curves, vaults, and token launches on Solana. Use when integrating DLMM, DAMM v2, Dynamic Bonding Curves, Alpha Vaults, or Stake-for-Fee functionality.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
7,174 tokensWhen the skill is activated
Reference documents
24,551 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Start
- DLMM SDK (Dynamic Liquidity Market Maker)
- DAMM v2 SDK (CP-AMM)
- Dynamic Bonding Curve SDK
- Dynamic Vault SDK
- Alpha Vault SDK
- Stake-for-Fee SDK (M3M3)
- Common Patterns
- Resources
- Skill Structure
Scripts executed separately
examples/alpha-vault/participation.tsexamples/bonding-curve/create-token.tsexamples/bonding-curve/graduation.tsexamples/bonding-curve/trade.tsexamples/damm-v2/create-pool.tsexamples/damm-v2/manage-position.tsexamples/damm-v2/swap.tsexamples/dlmm/add-liquidity.tsexamples/dlmm/claim-fees.tsexamples/dlmm/swap.tsexamples/stake-for-fee/staking.tsexamples/vault/deposit-withdraw.tstemplates/liquidity-manager.tstemplates/token-launch.tstemplates/trading-bot.ts
Files
SKILL.mdcore28,151 bytesSKILL.mdcore28,151 bytesdocs/fee-structures.mddoc6,804 bytesdocs/migration-guide.mddoc6,481 bytesdocs/strategy-guide.mddoc10,366 bytesdocs/troubleshooting.mddoc9,471 bytesexamples/alpha-vault/participation.tsruns9,623 bytesexamples/bonding-curve/create-token.tsruns5,463 bytesexamples/bonding-curve/graduation.tsruns7,366 bytesexamples/bonding-curve/trade.tsruns7,619 bytesexamples/damm-v2/create-pool.tsruns5,646 bytesexamples/damm-v2/manage-position.tsruns8,108 bytesexamples/damm-v2/swap.tsruns5,635 bytesexamples/dlmm/add-liquidity.tsruns4,605 bytesexamples/dlmm/claim-fees.tsruns5,521 bytesexamples/dlmm/swap.tsruns3,120 bytesexamples/stake-for-fee/staking.tsruns9,984 bytesexamples/vault/deposit-withdraw.tsruns8,227 bytesresources/alpha-vault-reference.mddoc9,908 bytesresources/bonding-curve-reference.mddoc9,387 bytesresources/damm-v2-api-reference.mddoc11,403 bytesresources/dlmm-api-reference.mddoc8,768 bytesresources/m3m3-api-reference.mddoc10,751 bytesresources/program-addresses.mddoc4,489 bytesresources/vault-api-reference.mddoc7,082 bytestemplates/liquidity-manager.tsruns12,967 bytestemplates/token-launch.tsruns9,451 bytestemplates/trading-bot.tsruns9,654 bytes
Read SKILL.md
# Meteora Protocol Development Guide
A comprehensive guide for building Solana DeFi applications with Meteora's suite of SDKs - the leading liquidity infrastructure on Solana.
## Overview
Meteora provides a complete DeFi infrastructure stack on Solana:
- **DLMM (Dynamic Liquidity Market Maker)**: Concentrated liquidity with dynamic fees
- **DAMM v2 (Dynamic AMM)**: Next-generation AMM with advanced pool management
- **Dynamic Bonding Curve**: Customizable token launch curves with auto-graduation
- **Dynamic Vault**: Yield-optimized token vaults
- **Alpha Vault**: Anti-bot protection for token launches
- **Stake-for-Fee (M3M3)**: Staking rewards from trading feesView the complete source on GitHubhugging-face-model-trainer
When your agent uses it
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
7,031 tokensWhen the skill is activated
Reference documents
18,594 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Key Directives
- Local Script Dependencies
- Prerequisites Checklist
- Asynchronous Job Guidelines
- Quick Start: Three Approaches
- Hardware Selection
- Critical: Saving Results to Hub
- Timeout Management
- Cost Estimation
- Example Training Scripts
- Monitoring and Tracking
- Dataset Validation
- Converting Models to GGUF
- Common Training Patterns
- Common Failure Modes
- Troubleshooting
- Resources
- Key Takeaways
Scripts executed separately
scripts/convert_to_gguf.pyscripts/dataset_inspector.pyscripts/estimate_cost.pyscripts/train_dpo_example.pyscripts/train_grpo_example.pyscripts/train_sft_example.pyscripts/unsloth_sft_example.py
Files
SKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesSKILL.mdcore27,941 bytesreferences/gguf_conversion.mddoc9,867 bytesreferences/hardware_guide.mddoc6,778 bytesreferences/hub_saving.mddoc8,517 bytesreferences/reliability_principles.mddoc10,867 bytesreferences/trackio_guide.mddoc5,796 bytesreferences/training_methods.mddoc5,011 bytesreferences/training_patterns.mddoc6,127 bytesreferences/troubleshooting.mddoc8,858 bytesreferences/unsloth.mddoc8,005 bytesscripts/convert_to_gguf.pyruns12,637 bytesscripts/dataset_inspector.pyruns15,683 bytesscripts/estimate_cost.pyruns4,854 bytesscripts/train_dpo_example.pyruns3,118 bytesscripts/train_grpo_example.pyruns2,384 bytesscripts/train_sft_example.pyruns3,343 bytesscripts/unsloth_sft_example.pyruns16,854 bytes
Read SKILL.md
# TRL Training on Hugging Face Jobs
## Overview
Train language models using TRL (Transformer Reinforcement Learning) on fully managed Hugging Face infrastructure. No local GPU setup required—models train on cloud GPUs and results are automatically saved to the Hugging Face Hub.
**TRL provides multiple training methods:**
- **SFT** (Supervised Fine-Tuning) - Standard instruction tuning
- **DPO** (Direct Preference Optimization) - Alignment from preference data
- **GRPO** (Group Relative Policy Optimization) - Online RL training
- **Reward Modeling** - Train reward models for RLHF
**For detailed TRL method documentation:**
```pythonView the complete source on GitHubn8n-code-javascript
When your agent uses it
Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with $helpers, working with dates using DateTime, troubleshooting Code node errors, or choosing between Code node modes.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
4,059 tokensWhen the skill is activated
Reference documents
23,031 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Mode Selection Guide
- Data Access Patterns
- Critical: Webhook Data Structure
- Return Format Requirements
- Common Patterns Overview
- Error Prevention - Top 5 Mistakes
- Built-in Functions & Helpers
- Best Practices
- When to Use Code Node
- Integration with Other Skills
- Quick Reference Checklist
- Additional Resources
Files
BUILTIN_FUNCTIONS.mddoc16,845 bytesCOMMON_PATTERNS.mddoc29,205 bytesDATA_ACCESS.mddoc16,107 bytesERROR_PATTERNS.mddoc16,433 bytesREADME.mddoc9,563 bytesSKILL.mdcore16,110 bytesSKILL.mdcore16,110 bytesSKILL.mdcore16,110 bytesSKILL.mdcore16,110 bytesSKILL.mdcore16,110 bytesSKILL.mdcore16,110 bytesSKILL.mdcore16,110 bytesSKILL.mdcore16,110 bytesSKILL.mdcore16,110 bytesSKILL.mdcore16,110 bytesSKILL.mdcore16,110 bytesSKILL.mdcore16,110 bytes
Read SKILL.md
# JavaScript Code Node
Expert guidance for writing JavaScript code in n8n Code nodes.
---
## Quick Start
```javascript
// Basic template for Code nodes
const items = $input.all();
// Process data
const processed = items.map(item => ({View the complete source on GitHubn8n-code-python
When your agent uses it
Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
4,565 tokensWhen the skill is activated
Reference documents
19,344 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- ⚠<U+FE0F> Important: JavaScript First
- Quick Start
- Mode Selection Guide
- Python Modes: Beta vs Native
- Data Access Patterns
- Critical: Webhook Data Structure
- Return Format Requirements
- Critical Limitation: No External Libraries
- Common Patterns Overview
- Error Prevention - Top 5 Mistakes
- Standard Library Reference
- Best Practices
- When to Use Python vs JavaScript
- Integration with Other Skills
- Quick Reference Checklist
- Additional Resources
Files
COMMON_PATTERNS.mddoc19,329 bytesDATA_ACCESS.mddoc15,026 bytesERROR_PATTERNS.mddoc13,913 bytesREADME.mddoc9,524 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSKILL.mdcore17,971 bytesSTANDARD_LIBRARY.mddoc18,115 bytes
Read SKILL.md
# Python Code Node (Beta)
Expert guidance for writing Python code in n8n Code nodes.
---
## ⚠<U+FE0F> Important: JavaScript First
**Recommendation**: Use **JavaScript for 95% of use cases**. Only use Python when:
- You need specific Python standard library functions
- You're significantly more comfortable with Python syntax
- You're doing data transformations better suited to Python
**Why JavaScript is preferred:**View the complete source on GitHubn8n-expression-syntax
When your agent uses it
Validate n8n expression syntax and fix common errors. Use when writing n8n expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors, or working with webhook data in workflows.
What it loads into context
Frontmatter
54 tokensAlways available to the agent
SKILL.md
2,553 tokensWhen the skill is activated
Reference documents
5,192 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Expression Format
- Core Variables
- 🚨 CRITICAL: Webhook Data Structure
- Common Patterns
- When NOT to Use Expressions
- Validation Rules
- Common Mistakes
- Working Examples
- Data Type Handling
- Advanced Patterns
- Debugging Expressions
- Expression Helpers
- Best Practices
- Related Skills
- Summary
Files
COMMON_MISTAKES.mddoc8,658 bytesEXAMPLES.mddoc8,303 bytesREADME.mddoc2,323 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytesSKILL.mdcore9,600 bytes
Read SKILL.md
# n8n Expression Syntax
Expert guide for writing correct n8n expressions in workflows.
---
## Expression Format
All dynamic content in n8n uses **double curly braces**:
```
{{expression}}
```
View the complete source on GitHubn8n-mcp-tools-expert
When your agent uses it
Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, or using any n8n-mcp tool. Provides tool selection guidance, parameter formats, and common patterns.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
4,283 tokensWhen the skill is activated
Reference documents
8,732 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Tool Categories
- Quick Reference
- Tool Selection Guide
- Critical: nodeType Formats
- Common Mistakes
- Tool Usage Patterns
- Detailed Guides
- Template Usage
- Self-Help Tools
- Tool Availability
- Unified Tool Reference
- Performance Characteristics
- Best Practices
- Summary
Files
README.mddoc2,763 bytesSEARCH_GUIDE.mddoc8,192 bytesSKILL.mdcore16,447 bytesSKILL.mdcore16,447 bytesSKILL.mdcore16,447 bytesSKILL.mdcore16,447 bytesSKILL.mdcore16,447 bytesSKILL.mdcore16,447 bytesSKILL.mdcore16,447 bytesSKILL.mdcore16,447 bytesVALIDATION_GUIDE.mddoc9,687 bytesWORKFLOW_GUIDE.mddoc12,914 bytes
Read SKILL.md
# n8n MCP Tools Expert
Master guide for using n8n-mcp MCP server tools to build workflows.
---
## Tool Categories
n8n-mcp provides tools organized into categories:
1. **Node Discovery** → [SEARCH_GUIDE.md](SEARCH_GUIDE.md)
2. **Configuration Validation** → [VALIDATION_GUIDE.md](VALIDATION_GUIDE.md)
3. **Workflow Management** → [WORKFLOW_GUIDE.md](WORKFLOW_GUIDE.md)
4. **Template Library** - Search and deploy 2,700+ real workflowsView the complete source on GitHubn8n-node-configuration
When your agent uses it
Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning common configuration patterns by node type.
What it loads into context
Frontmatter
46 tokensAlways available to the agent
SKILL.md
4,084 tokensWhen the skill is activated
Reference documents
10,345 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Configuration Philosophy
- Core Concepts
- Configuration Workflow
- get_node Detail Levels
- Property Dependencies Deep Dive
- Common Node Patterns
- Operation-Specific Configuration
- Handling Conditional Requirements
- Configuration Anti-Patterns
- Best Practices
- Detailed References
- Summary
Files
DEPENDENCIES.mddoc14,598 bytesOPERATION_PATTERNS.mddoc15,358 bytesREADME.mddoc9,800 bytesSKILL.mdcore17,353 bytesSKILL.mdcore17,353 bytesSKILL.mdcore17,353 bytesSKILL.mdcore17,353 bytesSKILL.mdcore17,353 bytesSKILL.mdcore17,353 bytesSKILL.mdcore17,353 bytesSKILL.mdcore17,353 bytesSKILL.mdcore17,353 bytes
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# n8n Node Configuration
Expert guidance for operation-aware node configuration with property dependencies.
---
## Configuration Philosophy
**Progressive disclosure**: Start minimal, add complexity as needed
Configuration best practices:
- `get_node` with `detail: "standard"` is the most used discovery pattern
- 56 seconds average between configuration edits
- Covers 95% of use cases with 1-2K tokens responseView the complete source on GitHubn8n-validation-expert
When your agent uses it
Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about validation profiles, error types, or the validation loop process.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
3,645 tokensWhen the skill is activated
Reference documents
10,298 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Validation Philosophy
- Error Severity Levels
- The Validation Loop
- Validation Profiles
- Common Error Types
- Auto-Sanitization System
- False Positives
- Validation Result Structure
- Workflow Validation
- Recovery Strategies
- Best Practices
- Detailed Guides
- Summary
Files
ERROR_CATALOG.mddoc17,212 bytesFALSE_POSITIVES.mddoc14,723 bytesREADME.mddoc7,956 bytesSKILL.mdcore14,552 bytesSKILL.mdcore14,552 bytesSKILL.mdcore14,552 bytesSKILL.mdcore14,552 bytesSKILL.mdcore14,552 bytesSKILL.mdcore14,552 bytesSKILL.mdcore14,552 bytesSKILL.mdcore14,552 bytesSKILL.mdcore14,552 bytesSKILL.mdcore14,552 bytes
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# n8n Validation Expert
Expert guide for interpreting and fixing n8n validation errors.
---
## Validation Philosophy
**Validate early, validate often**
Validation is typically iterative:
- Expect validation feedback loops
- Usually 2-3 validate → fix cycles
- Average: 23s thinking about errors, 58s fixing themView the complete source on GitHubn8n-workflow-patterns
When your agent uses it
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, or scheduled tasks.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
2,748 tokensWhen the skill is activated
Reference documents
21,632 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The 5 Core Patterns
- Pattern Selection Guide
- Common Workflow Components
- Workflow Creation Checklist
- Data Flow Patterns
- Common Gotchas
- Integration with Other Skills
- Pattern Statistics
- Quick Start Examples
- Detailed Pattern Files
- Real Template Examples
- Best Practices
- Summary
Files
README.mddoc7,022 bytesSKILL.mdcore11,511 bytesSKILL.mdcore11,511 bytesSKILL.mdcore11,511 bytesSKILL.mdcore11,511 bytesSKILL.mdcore11,511 bytesSKILL.mdcore11,511 bytesai_agent_workflow.mddoc17,512 bytesdatabase_operations.mddoc16,132 byteshttp_api_integration.mddoc14,672 bytesscheduled_tasks.mddoc15,897 byteswebhook_processing.mddoc11,789 bytes
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# n8n Workflow Patterns
Proven architectural patterns for building n8n workflows.
---
## The 5 Core Patterns
Based on analysis of real workflow usage:
1. **[Webhook Processing](webhook_processing.md)** (Most Common)
- Receive HTTP requests → Process → Output
- Pattern: Webhook → Validate → Transform → Respond/Notify
View the complete source on GitHubobsidian-vault-manager
When your agent uses it
Manage local Obsidian vaults and markdown notes. Use when Codex needs to connect to local Obsidian vaults, register vault paths, or create/edit/refactor/search notes, frontmatter, links, tags, and attachments within a vault.
What it loads into context
Frontmatter
61 tokensAlways available to the agent
SKILL.md
1,185 tokensWhen the skill is activated
Reference documents
13,198 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick start
- Local data and env
- Vault connection workflow
- Working rules
- Common tasks
- Scripts
- References
Scripts executed separately
scripts/obsidian_cli.pyscripts/vault_registry.py
Files
LICENSEasset1,073 bytesREADME.mddoc1,701 bytesSKILL.mdcore4,994 bytesreferences/obsidian-bases-skill.mddoc16,409 bytesreferences/obsidian-json-canvas-skill.mddoc14,001 bytesreferences/obsidian-markdown-skill.mddoc10,801 bytesreferences/obsidian-vaults.mddoc1,058 bytesscripts/obsidian_cli.pyruns9,547 bytesscripts/vault_registry.pyruns22,721 bytes
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# Obsidian Vault Manager
## Quick start
- Register or discover vaults with Obsidian CLI first:
- `python3 scripts/vault_registry.py discover --merge`
- `python3 scripts/vault_registry.py list`
- Add a vault manually when needed:
- `python3 scripts/vault_registry.py add --path "/path/to/Vault" --name "Vault"`
- Manage active workspace:
- `python3 scripts/vault_registry.py set-active --name "Vault"`
- `python3 scripts/vault_registry.py set-workdir --name "Vault" --workdir "path/inside/vault"`
- `python3 scripts/vault_registry.py active`
- Run full Obsidian CLI command surface via `obsidian` subcommand (machine-first by default):
- `python3 scripts/vault_registry.py obsidian --vault "Vault" search query="meeting notes"`View the complete source on GitHubonboarding-cro
When your agent uses it
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," or "new user experience." For signup/registration optimization, see signup-flow-cro. For ongoing email sequences, see email-sequence.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
1,405 tokensWhen the skill is activated
Reference documents
1,510 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Initial Assessment
- Core Principles
- Defining Activation
- Onboarding Flow Design
- Multi-Channel Onboarding
- Handling Stalled Users
- Measurement
- Output Format
- Common Patterns by Product Type
- Experiment Ideas
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore6,303 bytesreferences/experiments.mddoc7,199 bytes
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# Onboarding CRO
You are an expert in user onboarding and activation. Your goal is to help users reach their "aha moment" as quickly as possible and establish habits that lead to long-term retention.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, understand:
1. **Product Context** - What type of product? B2B or B2C? Core value proposition?
2. **Activation Definition** - What's the "aha moment"? What action indicates a user "gets it"?
3. **Current State** - What happens after signup? Where do users drop off?View the complete source on GitHubopenai-knowledge
When your agent uses it
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
What it loads into context
Frontmatter
87 tokensAlways available to the agent
SKILL.md
464 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
- Overview
- Workflow
Files
SKILL.mdcore1,884 bytes
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# OpenAI Knowledge
## Overview
Use the OpenAI Developer Documentation MCP server to search and fetch exact docs (markdown), then base your answer on that text instead of guessing.
## Workflow
### 1) Check whether the Docs MCP server is available
If the `mcp__openaiDeveloperDocs__*` tools are available, use them.
If you are unsure, run `codex mcp list` and check for `openaiDeveloperDocs`.
View the complete source on GitHubpage-cro
When your agent uses it
When the user wants to optimize, improve, or increase conversions on any marketing page — including homepage, landing pages, pricing pages, feature pages, or blog posts. Also use when the user says "CRO," "conversion rate optimization," "this page isn't converting," "improve conversions," or "why isn't this page working." For signup/registration flows, see signup-flow-cro. For post-signup activation, see onboarding-cro. For forms outside of signup, see form-cro. For popups/modals, see popup-cro.
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
1,261 tokensWhen the skill is activated
Reference documents
1,537 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Initial Assessment
- CRO Analysis Framework
- Output Format
- Page-Specific Frameworks
- Experiment Ideas
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore5,706 bytesreferences/experiments.mddoc7,296 bytes
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# Page Conversion Rate Optimization (CRO)
You are a conversion rate optimization expert. Your goal is to analyze marketing pages and provide actionable recommendations to improve conversion rates.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, identify:
1. **Page Type**: Homepage, landing page, pricing, feature, blog, about, other
2. **Primary Conversion Goal**: Sign up, request demo, purchase, subscribe, download, contact sales
3. **Traffic Context**: Where are visitors coming from? (organic, paid, email, social)View the complete source on GitHubpaid-ads
When your agent uses it
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ad copy,' 'ad creative,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' or 'audience targeting.' This skill covers campaign strategy, ad creation, audience targeting, and optimization.
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
2,355 tokensWhen the skill is activated
Reference documents
4,201 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- Platform Selection Guide
- Campaign Structure Best Practices
- Ad Copy Frameworks
- Audience Targeting Overview
- Creative Best Practices
- Campaign Optimization
- Retargeting Strategies
- Reporting & Analysis
- Platform Setup
- Common Mistakes to Avoid
- Task-Specific Questions
- Tool Integrations
- Related Skills
Files
SKILL.mdcore9,818 bytesreferences/ad-copy-templates.mddoc4,446 bytesreferences/audience-targeting.mddoc5,716 bytesreferences/platform-setup-checklists.mddoc6,943 bytes
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# Paid Ads
You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.
## Before Starting
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
### 1. Campaign Goals
- What's the primary objective? (Awareness, traffic, leads, sales, app installs)
- What's the target CPA or ROAS?View the complete source on GitHubpaywall-upgrade-cro
When your agent uses it
When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates. Also use when the user mentions "paywall," "upgrade screen," "upgrade modal," "upsell," "feature gate," "convert free to paid," "freemium conversion," "trial expiration screen," "limit reached screen," "plan upgrade prompt," or "in-app pricing." Distinct from public pricing pages (see page-cro) — this skill focuses on in-product upgrade moments where the user has already experienced value.
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
1,291 tokensWhen the skill is activated
Reference documents
1,078 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Initial Assessment
- Core Principles
- Paywall Trigger Points
- Paywall Screen Components
- Specific Paywall Types
- Timing and Frequency
- Upgrade Flow Optimization
- A/B Testing
- Anti-Patterns to Avoid
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore5,440 bytesreferences/experiments.mddoc4,896 bytes
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# Paywall and Upgrade Screen CRO
You are an expert in in-app paywalls and upgrade flows. Your goal is to convert free users to paid, or upgrade users to higher tiers, at moments when they've experienced enough value to justify the commitment.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, understand:
1. **Upgrade Context** - Freemium → Paid? Trial → Paid? Tier upgrade? Feature upsell? Usage limit?
2. **Product Model** - What's free? What's behind paywall? What triggers prompts? Current conversion rate?View the complete source on GitHubpinocchio-development
When your agent uses it
Comprehensive guide for building high-performance Solana programs using Pinocchio - the zero-dependency, zero-copy framework. Covers account validation, CPI patterns, optimization techniques, and migration from Anchor.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
3,838 tokensWhen the skill is activated
Reference documents
24,748 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Start
- Instructions
- Entrypoint Options
- CPI Patterns
- Account Validation Patterns
- PDA Operations
- Data Serialization
- IDL Generation with Shank
- Guidelines
- Files in This Skill
- Notes
Scripts executed separately
scripts/scaffold-program.sh
Files
SKILL.mdcore15,283 bytesSKILL.mdcore15,283 bytesSKILL.mdcore15,283 bytesSKILL.mdcore15,283 bytesdocs/edge-cases.mddoc13,918 bytesdocs/migration-from-anchor.mddoc13,930 bytesexamples/counter/README.mddoc11,552 bytesexamples/token-operations/README.mddoc13,397 bytesexamples/vault/README.mddoc13,191 bytesresources/account-patterns.mddoc16,480 bytesresources/cpi-reference.mddoc11,801 bytesresources/optimization-checklist.mddoc2,473 bytesscripts/scaffold-program.shruns4,895 bytestemplates/program-template.rsasset8,337 bytes
Read SKILL.md
# Pinocchio Development Guide
Build blazing-fast Solana programs with Pinocchio - a zero-dependency, zero-copy framework that delivers **88-95% compute unit reduction** and **40% smaller binaries** compared to traditional approaches.
## Overview
Pinocchio is Anza's minimalist Rust library for writing Solana programs without the heavyweight `solana-program` crate. It treats incoming transaction data as a single byte slice, reading it in-place via zero-copy techniques.
### Performance Comparison
| Metric | Anchor | Native (solana-program) | Pinocchio |
|--------|--------|------------------------|-----------|
| Token Transfer CU | ~6,000 | ~4,500 | ~600-800 |
| Binary Size | Large | Medium | Small (-40%) |View the complete source on GitHubpopup-cro
When your agent uses it
When the user wants to create or optimize popups, modals, overlays, slide-ins, or banners for conversion purposes. Also use when the user mentions "exit intent," "popup conversions," "modal optimization," "lead capture popup," "email popup," "announcement banner," or "overlay." For forms outside of popups, see form-cro. For general page conversion optimization, see page-cro.
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,712 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
- Initial Assessment
- Core Principles
- Trigger Strategies
- Popup Types
- Design Best Practices
- Copy Formulas
- Frequency and Rules
- Compliance and Accessibility
- Measurement
- Output Format
- Common Popup Strategies
- Experiment Ideas
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore11,437 bytesSKILL.mdcore11,437 bytes
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# Popup CRO
You are an expert in popup and modal optimization. Your goal is to create popups that convert without annoying users or damaging brand perception.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, understand:
1. **Popup Purpose**
- Email/newsletter capture
- Lead magnet deliveryView the complete source on GitHubpricing-strategy
When your agent uses it
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy.
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
1,502 tokensWhen the skill is activated
Reference documents
2,477 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- Pricing Fundamentals
- Value Metrics
- Tier Structure Overview
- Pricing Research
- When to Raise Prices
- Pricing Page Best Practices
- Pricing Checklist
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore6,559 bytesreferences/research-methods.mddoc4,490 bytesreferences/tier-structure.mddoc6,800 bytes
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# Pricing Strategy
You are an expert in SaaS pricing and monetization strategy. Your goal is to help design pricing that captures value, drives growth, and aligns with customer willingness to pay.
## Before Starting
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
### 1. Business Context
- What type of product? (SaaS, marketplace, e-commerce, service)
- What's your current pricing (if any)?View the complete source on GitHubprogrammatic-seo
When your agent uses it
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit.
What it loads into context
Frontmatter
98 tokensAlways available to the agent
SKILL.md
1,542 tokensWhen the skill is activated
Reference documents
1,919 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Initial Assessment
- Core Principles
- The 12 Playbooks (Overview)
- Choosing Your Playbook
- Implementation Framework
- Quality Checks
- Common Mistakes
- Output Format
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore6,626 bytesreferences/playbooks.mddoc8,048 bytes
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# Programmatic SEO
You are an expert in programmatic SEO—building SEO-optimized pages at scale using templates and data. Your goal is to create pages that rank, provide value, and avoid thin content penalties.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before designing a programmatic SEO strategy, understand:
1. **Business Context**
- What's the product/service?
- Who is the target audience?View the complete source on GitHubWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
1,757 tokensWhen the skill is activated
Reference documents
21,044 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Start
- Pool Types
- Core Operations
- Program IDs
- API Endpoints
- Transaction Options
- Key Features
- Resources
- Skill Structure
Scripts executed separately
templates/raydium-setup.ts
Files
SKILL.mdcore5,878 bytesSKILL.mdcore5,878 bytesdocs/clmm-guide.mddoc7,870 bytesdocs/troubleshooting.mddoc8,163 bytesexamples/clmm-pool/README.mddoc5,933 bytesexamples/clmm-position/README.mddoc10,051 bytesexamples/cpmm-pool/README.mddoc8,936 bytesexamples/liquidity/README.mddoc7,702 bytesexamples/swap/README.mddoc7,130 bytesresources/pool-types.mddoc5,706 bytesresources/program-ids.mddoc5,138 bytesresources/sdk-api-reference.mddoc7,265 bytestemplates/raydium-setup.tsruns8,468 bytes
Read SKILL.md
# Raydium Protocol Integration Guide
A comprehensive guide for building applications with Raydium - Solana's leading AMM and liquidity protocol.
## Overview
Raydium is a suite of automated market makers (AMMs) on Solana offering:
- **CLMM** - Concentrated Liquidity Market Maker for capital-efficient LP positions
- **CPMM** - Constant Product Market Maker with Token22 support (no OpenBook required)
- **AMM** - Classic AMM integrated with OpenBook CLOB
- **Farms** - Yield farming and staking rewards
## Quick Start
### InstallationView the complete source on GitHubreferral-program
When your agent uses it
When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' or 'partner program.' This skill covers program design, incentive structure, and growth optimization.
What it loads into context
Frontmatter
90 tokensAlways available to the agent
SKILL.md
1,600 tokensWhen the skill is activated
Reference documents
1,670 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Starting
- Referral vs. Affiliate
- Referral Program Design
- Program Optimization
- Measuring Success
- Launch Checklist
- Email Sequences
- Affiliate Programs
- Task-Specific Questions
- Tool Integrations
- Related Skills
Files
SKILL.mdcore7,020 bytesreferences/affiliate-programs.mddoc3,938 bytesreferences/program-examples.mddoc3,104 bytes
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# Referral & Affiliate Programs
You are an expert in viral growth and referral marketing. Your goal is to help design and optimize programs that turn customers into growth engines.
## Before Starting
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
### 1. Program Type
- Customer referral program, affiliate program, or both?
- B2B or B2C?View the complete source on GitHubremotion-best-practices
When your agent uses it
Best practices for Remotion - Video creation in React
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
999 tokensWhen the skill is activated
Reference documents
25,938 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use
- Captions
- Using FFmpeg
- Audio visualization
- How to use
Scripts executed separately
rules/assets/charts-bar-chart.tsxrules/assets/text-animations-typewriter.tsxrules/assets/text-animations-word-highlight.tsx
Files
SKILL.mdcore4,097 bytesrules/3d.mddoc2,290 bytesrules/animations.mddoc790 bytesrules/assets.mddoc1,590 bytesrules/assets/charts-bar-chart.tsxruns3,429 bytesrules/assets/text-animations-typewriter.tsxruns2,183 bytesrules/assets/text-animations-word-highlight.tsxruns2,387 bytesrules/audio-visualization.mddoc4,892 bytesrules/audio.mddoc3,625 bytesrules/calculate-metadata.mddoc3,227 bytesrules/can-decode.mddoc1,587 bytesrules/charts.mddoc2,942 bytesrules/compositions.mddoc3,708 bytesrules/display-captions.mddoc5,471 bytesrules/extract-frames.mddoc5,496 bytesrules/ffmpeg.mddoc998 bytesrules/fonts.mddoc3,484 bytesrules/get-audio-duration.mddoc1,357 bytesrules/get-video-dimensions.mddoc1,627 bytesrules/get-video-duration.mddoc1,377 bytesrules/gifs.mddoc3,707 bytesrules/images.mddoc2,783 bytesrules/import-srt-captions.mddoc2,247 bytesrules/light-leaks.mddoc2,305 bytesrules/lottie.mddoc1,779 bytesrules/maps.mddoc11,217 bytesrules/measuring-dom-nodes.mddoc974 bytesrules/measuring-text.mddoc2,783 bytesrules/parameters.mddoc2,380 bytesrules/sequencing.mddoc2,744 bytesrules/subtitles.mddoc922 bytesrules/tailwind.mddoc422 bytesrules/text-animations.mddoc700 bytesrules/timing.mddoc3,939 bytesrules/transcribe-captions.mddoc1,897 bytesrules/transitions.mddoc5,816 bytesrules/transparent-videos.mddoc2,267 bytesrules/trimming.mddoc1,210 bytesrules/videos.mddoc3,509 bytesrules/voiceover.mddoc3,364 bytes
Read SKILL.md
## When to use
Use this skills whenever you are dealing with Remotion code to obtain the domain-specific knowledge.
## Captions
When dealing with captions or subtitles, load the [./rules/subtitles.md](./rules/subtitles.md) file for more information.
## Using FFmpeg
For some video operations, such as trimming videos or detecting silence, FFmpeg should be used. Load the [./rules/ffmpeg.md](./rules/ffmpeg.md) file for more information.
## Audio visualization
View the complete source on GitHubschema-markup
When your agent uses it
When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," or "breadcrumb schema." For broader SEO issues, see seo-audit.
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
1,094 tokensWhen the skill is activated
Reference documents
2,224 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Initial Assessment
- Core Principles
- Common Schema Types
- Quick Reference
- Multiple Schema Types
- Validation and Testing
- Implementation
- Output Format
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore4,773 bytesreferences/schema-examples.mddoc7,997 bytes
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# Schema Markup
You are an expert in structured data and schema markup. Your goal is to implement schema.org markup that helps search engines understand content and enables rich results in search.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before implementing schema, understand:
1. **Page Type** - What kind of page? What's the primary content? What rich results are possible?
2. **Current State** - Any existing schema? Errors in implementation? Which rich results already appearing?View the complete source on GitHubseo-audit
When your agent uses it
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," or "SEO health check." For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema-markup.
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
2,075 tokensWhen the skill is activated
Reference documents
3,524 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Initial Assessment
- Audit Framework
- Technical SEO Audit
- On-Page SEO Audit
- Content Quality Assessment
- Common Issues by Site Type
- Output Format
- References
- Tools Referenced
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore8,953 bytesreferences/aeo-geo-patterns.mddoc9,465 bytesreferences/ai-writing-detection.mddoc6,204 bytes
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# SEO Audit
You are an expert in search engine optimization. Your goal is to identify SEO issues and provide actionable recommendations to improve organic search performance.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before auditing, understand:
1. **Site Context**
- What type of site? (SaaS, e-commerce, blog, etc.)
- What's the primary business goal for SEO?View the complete source on GitHubsignup-flow-cro
When your agent uses it
When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," or "account creation flow." For post-signup onboarding, see onboarding-cro. For lead capture forms (not account creation), see form-cro.
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
2,259 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
- Initial Assessment
- Core Principles
- Field-by-Field Optimization
- Single-Step vs. Multi-Step
- Trust and Friction Reduction
- Mobile Signup Optimization
- Post-Submit Experience
- Measurement
- Output Format
- Common Signup Flow Patterns
- Experiment Ideas
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore9,978 bytes
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# Signup Flow CRO
You are an expert in optimizing signup and registration flows. Your goal is to reduce friction, increase completion rates, and set users up for successful activation.
## Initial Assessment
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, understand:
1. **Flow Type**
- Free trial signup
- Freemium account creationView the complete source on GitHubskill-boilerplate
When your agent uses it
Define a standard per-skill local data layout at <project_root>/.skills-data/<skill-name> and required SKILL.md guidance for env/config/deps/tools. Use when starting a new skill and you must specify where to store data, env files, local binaries, and dependencies.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
773 tokensWhen the skill is activated
Reference documents
1,810 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Determine project_root and data dir
- Mandatory SKILL.md section (copy into every new skill)
- Environment variables
- Boilerplate helper functions
- OS utilities (optional)
Scripts executed separately
scripts/ensure_skill_data.pyscripts/install_utils.pyscripts/setup_envs.py
Files
LICENSEasset1,073 bytesREADME.mddoc3,433 bytesSKILL.mdcore3,101 bytesreferences/boilerplate-functions.mddoc2,786 bytesreferences/os-install.mddoc913 bytesscripts/ensure_skill_data.pyruns5,496 bytesscripts/install_utils.pyruns4,417 bytesscripts/setup_envs.pyruns6,770 bytes
Read SKILL.md
# Skill Boilerplate
## Purpose
Document the mandatory local data layout and instructions to embed in new skills. This skill does not create any folders or files.
## Determine project_root and data dir
- Let <skill-root> be the folder containing SKILL.md.
- If <skill-root>/.. is `skills`, guess project_root as two levels above the `skills` folder (i.e. <skill-root>/../../..).
- This works when skills are stored as <project_root>/<container>/skills/<skill-name>, where <container> can be .codex, .claude, .github, or any other parent.
- Ask the user to confirm the guess; if it is wrong, request project_root.
- If the skill is not under a `skills` directory, do not guess; ask the user for project_root.
- Data dir: <project_root>/.skills-data/<skill-name>/.View the complete source on GitHubsocial-content
When your agent uses it
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific strategies.
What it loads into context
Frontmatter
100 tokensAlways available to the agent
SKILL.md
1,925 tokensWhen the skill is activated
Reference documents
3,223 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before Creating Content
- Platform Quick Reference
- Content Pillars Framework
- Hook Formulas
- Content Repurposing System
- Content Calendar Structure
- Engagement Strategy
- Analytics & Optimization
- Content Ideas by Situation
- Scheduling Best Practices
- Reverse Engineering Viral Content
- Task-Specific Questions
- Related Skills
Files
SKILL.mdcore8,354 bytesreferences/platforms.mddoc4,352 bytesreferences/post-templates.mddoc3,342 bytesreferences/reverse-engineering.mddoc5,409 bytes
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# Social Content
You are an expert social media strategist. Your goal is to help create engaging content that builds audience, drives engagement, and supports business goals.
## Before Creating Content
**Check for product marketing context first:**
If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
### 1. Goals
- What's the primary objective? (Brand awareness, leads, traffic, community)
- What action do you want people to take?View the complete source on GitHubsolana-agent-kit
When your agent uses it
Comprehensive guide for building AI agents that interact with Solana blockchain using SendAI's Solana Agent Kit. Covers 60+ actions, LangChain/Vercel AI integration, MCP server setup, and autonomous agent patterns.
What it loads into context
Frontmatter
53 tokensAlways available to the agent
SKILL.md
3,526 tokensWhen the skill is activated
Reference documents
18,842 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Start
- Plugins & Actions
- Integration Patterns
- Autonomous Mode
- Creating Custom Actions
- Best Practices
- Guidelines
- Files in This Skill
- Notes
Scripts executed separately
templates/agent-template.ts
Files
SKILL.mdcore13,880 bytesSKILL.mdcore13,880 bytesSKILL.mdcore13,880 bytesSKILL.mdcore13,880 bytesSKILL.mdcore13,880 bytesdocs/custom-actions.mddoc11,331 bytesdocs/troubleshooting.mddoc12,529 bytesexamples/autonomous-agent/README.mddoc16,744 bytesexamples/langchain/README.mddoc9,649 bytesexamples/mcp-server/README.mddoc6,759 bytesexamples/vercel-ai/README.mddoc9,086 bytesresources/actions-reference.mddoc9,593 bytestemplates/agent-template.tsruns11,463 bytes
Read SKILL.md
# Solana Agent Kit Development Guide
Build AI agents that autonomously execute **60+ Solana blockchain operations** using SendAI's open-source toolkit. Compatible with LangChain, Vercel AI SDK, and Claude via MCP.
## Overview
The Solana Agent Kit enables any AI model to:
- Deploy and manage tokens (SPL & Token-2022)
- Create and trade NFTs via Metaplex
- Execute DeFi operations (Jupiter, Raydium, Orca, Meteora)
- Stake SOL, bridge tokens, register domains
- Run in interactive or fully autonomous modes
### Key FeaturesView the complete source on GitHubWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
3,232 tokensWhen the skill is activated
Reference documents
20,965 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Start
- Core Concepts
- Package Reference
- Common Patterns
- Type Safety
- Performance Tips
- Error Handling
- Migration from web3.js 1.x
- Resources
- Skill Structure
Scripts executed separately
templates/project-template.ts
Files
SKILL.mdcore13,593 bytesSKILL.mdcore13,593 bytesSKILL.mdcore13,593 bytesdocs/advanced-patterns.mddoc13,940 bytesdocs/troubleshooting.mddoc10,101 bytesexamples/create-token/README.mddoc12,888 bytesexamples/fetch-accounts/README.mddoc9,792 bytesexamples/subscriptions/README.mddoc12,701 bytesexamples/transfer-sol/README.mddoc9,175 bytesresources/api-quick-reference.mddoc6,809 bytesresources/packages-reference.mddoc12,585 bytestemplates/project-template.tsruns10,826 bytes
Read SKILL.md
# Solana Kit Development Guide
A comprehensive guide for building Solana applications with `@solana/kit` - the modern, tree-shakeable, zero-dependency JavaScript SDK from Anza.
## Overview
Solana Kit (formerly web3.js 2.0) is a complete rewrite of the Solana JavaScript SDK with:
- **Tree-shakeable**: Only ship code you use (-78% bundle size)
- **Zero dependencies**: No third-party packages
- **Functional design**: Composable, no classes
- **10x faster crypto**: Native Ed25519 support
- **TypeScript-first**: Full type safety
## Quick Start
View the complete source on GitHubsolana-kit-migration
When your agent uses it
Helps developers understand when to use @solana/kit vs @solana/web3.js (v1), provides migration guidance, API mappings, and handles edge cases for Solana JavaScript SDK transitions
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
2,483 tokensWhen the skill is activated
Reference documents
17,937 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use Each Library
- Quick Decision Flowchart
- Instructions for Migration Analysis
- API Migration Reference
- Edge Cases & Gotchas
- Alternative: Consider Gill
- Guidelines
- Files in This Skill
- Notes
Scripts executed separately
scripts/analyze-migration.shscripts/detect-patterns.js
Files
SKILL.mdcore10,861 bytesSKILL.mdcore10,861 bytesSKILL.mdcore10,861 bytesSKILL.mdcore10,861 bytesSKILL.mdcore10,861 bytesdocs/edge-cases.mddoc14,128 bytesexamples/mixed-codebase/anchor-with-kit.mddoc10,820 bytesexamples/v1-to-kit/basic-transfer.mddoc7,041 bytesexamples/v1-to-kit/subscription-handling.mddoc10,619 bytesexamples/v1-to-kit/token-operations.mddoc9,862 bytesresources/api-mappings.mddoc11,496 bytesresources/compatibility-matrix.mddoc4,732 bytesresources/package-comparison.mddoc6,467 bytesscripts/analyze-migration.shruns7,282 bytesscripts/detect-patterns.jsruns10,639 bytes
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# Solana Kit Migration Assistant
This skill helps you navigate the transition between `@solana/web3.js` (v1.x) and `@solana/kit` (formerly web3.js 2.0), providing guidance on when to use each library and how to migrate between them.
## Overview
The Solana JavaScript ecosystem has two major SDK options:
| Library | Status | Use Case |
|---------|--------|----------|
| `@solana/web3.js` (1.x) | Maintenance mode | Legacy projects, Anchor-dependent apps |
| `@solana/kit` | Active development | New projects, performance-critical apps |
**Key Decision**: `@solana/kit` is the future, but migration isn't always straightforward.View the complete source on GitHubspec-to-plan
When your agent uses it
Transform project descriptions and feature requests into comprehensive specifications and actionable task lists. Use when the user wants to: (1) Create a specification from a project/feature description, (2) Generate a detailed plan with task breakdown, (3) Clarify requirements before implementation, (4) Convert ideas into structured development plans with progress tracking. Works with or without existing codebase files.
What it loads into context
Frontmatter
85 tokensAlways available to the agent
SKILL.md
928 tokensWhen the skill is activated
Reference documents
730 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Process Overview
- Phase 1: Initial Specification
- Phase 2: Clarify Questions
- Phase 3: Generate Markdown Spec
- Phase 4: Create Comprehensive Todo
- Phase 5: Output Plan Markdown
- Workflow Tips
- Reference Files
Files
.mcp-bundler/manifest.jsonasset282 bytesSKILL.mdcore4,675 bytesreferences/phase1_spec_prompt.mddoc1,087 bytesreferences/phase2_plan_prompt.mddoc2,235 bytes
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# Spec-to-Plan Skill
This skill guides the process of transforming project descriptions into clear specifications and actionable task lists for developers.
## Process Overview
The skill follows a five-phase workflow:
1. **Create Initial Specification** - Analyze the feature/project description
2. **Clarify Questions** - Identify and resolve all ambiguities
3. **Generate Markdown Spec** - Produce detailed specification document (presented as `spec.md` in chat)
4. **Create Comprehensive Todo** - Break down into implementable tasks
5. **Output Plan Markdown** - Generate final `plan.md` with progress tracking (presented in chat)
View the complete source on GitHubswift-concurrency-expert
When your agent uses it
Swift Concurrency review and remediation for Swift 6.2+. Use when asked to review Swift Concurrency usage, improve concurrency compliance, or fix Swift concurrency compiler errors in a feature or file.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
387 tokensWhen the skill is activated
Reference documents
2,664 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Workflow
- Reference material
Files
SKILL.mdcore1,721 bytesreferences/swift-6-2-concurrency.mddoc10,673 bytesreferences/swiftui-concurrency-tour-wwdc.mddoc1,645 bytes
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# Swift Concurrency Expert
## Overview
Review and fix Swift Concurrency issues in Swift 6.2+ codebases by applying actor isolation, Sendable safety, and modern concurrency patterns with minimal behavior changes.
## Workflow
### 1. Triage the issue
- Capture the exact compiler diagnostics and the offending symbol(s).
- Identify the current actor context (`@MainActor`, `actor`, `nonisolated`) and whether a default actor isolation mode is enabled.
- Confirm whether the code is UI-bound or intended to run off the main actor.
View the complete source on GitHubswiftui-liquid-glass
When your agent uses it
Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in new SwiftUI UI, refactor an existing feature to Liquid Glass, or review Liquid Glass usage for correctness, performance, and design alignment.
What it loads into context
Frontmatter
66 tokensAlways available to the agent
SKILL.md
849 tokensWhen the skill is activated
Reference documents
1,843 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Workflow Decision Tree
- Core Guidelines
- Review Checklist
- Implementation Checklist
- Quick Snippets
- Resources
Files
SKILL.mdcore3,763 bytesreferences/liquid-glass.mddoc8,159 bytes
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# SwiftUI Liquid Glass
## Overview
Use this skill to build or review SwiftUI features that fully align with the iOS 26+ Liquid Glass API. Prioritize native APIs (`glassEffect`, `GlassEffectContainer`, glass button styles) and Apple design guidance. Keep usage consistent, interactive where needed, and performance aware.
## Workflow Decision Tree
Choose the path that matches the request:
### 1) Review an existing feature
- Inspect where Liquid Glass should be used and where it should not.
- Verify correct modifier order, shape usage, and container placement.
- Check for iOS 26+ availability handling and sensible fallbacks.
### 2) Improve a feature using Liquid GlassView the complete source on GitHubswiftui-ui-patterns
When your agent uses it
Best practices and example-driven guidance for building SwiftUI views and components. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens, or needing component-specific patterns and examples.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
759 tokensWhen the skill is activated
Reference documents
14,312 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick start
- General rules to follow
- Workflow for a new SwiftUI view
- Component references
- Sheet patterns
- Adding a new component reference
Files
SKILL.mdcore3,550 bytesreferences/app-wiring.mddoc6,072 bytesreferences/components-index.mddoc3,584 bytesreferences/controls.mddoc1,682 bytesreferences/deeplinks.mddoc1,703 bytesreferences/focus.mddoc2,390 bytesreferences/form.mddoc3,062 bytesreferences/grids.mddoc1,851 bytesreferences/haptics.mddoc2,049 bytesreferences/input-toolbar.mddoc1,451 bytesreferences/lightweight-clients.mddoc2,524 bytesreferences/list.mddoc2,732 bytesreferences/loading-placeholders.mddoc1,274 bytesreferences/macos-settings.mddoc1,997 bytesreferences/matched-transitions.mddoc1,674 bytesreferences/media.mddoc2,040 bytesreferences/menu-bar.mddoc2,236 bytesreferences/navigationstack.mddoc4,343 bytesreferences/overlay.mddoc1,238 bytesreferences/scrollview.mddoc2,364 bytesreferences/searchable.mddoc1,727 bytesreferences/sheets.mddoc3,200 bytesreferences/split-views.mddoc2,027 bytesreferences/tabview.mddoc3,486 bytesreferences/theming.mddoc1,776 bytesreferences/title-menus.mddoc2,115 bytesreferences/top-bar.mddoc1,359 bytes
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# SwiftUI UI Patterns
## Quick start
Choose a track based on your goal:
### Existing project
- Identify the feature or screen and the primary interaction model (list, detail, editor, settings, tabbed).
- Find a nearby example in the repo with `rg "TabView\("` or similar, then read the closest SwiftUI view.
- Apply local conventions: prefer SwiftUI-native state, keep state local when possible, and use environment injection for shared dependencies.
- Choose the relevant component reference from `references/components-index.md` and follow its guidance.
- Build the view with small, focused subviews and SwiftUI-native data flow.
View the complete source on GitHubswiftui-view-refactor
When your agent uses it
Refactor and review SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view’s layout/ordering, handle view models safely (non-optional when possible), or standardize how dependencies and @Observable state are initialized and passed.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
1,395 tokensWhen the skill is activated
Reference documents
1,720 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Core Guidelines
- Workflow
- Notes
- Large-view handling
Files
SKILL.mdcore6,162 bytesreferences/mv-patterns.mddoc8,033 bytes
Read SKILL.md
# SwiftUI View Refactor
## Overview
Apply a consistent structure and dependency pattern to SwiftUI views, with a focus on ordering, Model-View (MV) patterns, careful view model handling, and correct Observation usage.
## Core Guidelines
### 1) View ordering (top → bottom)
- Environment
- `private`/`public` `let`
- `@State` / other stored properties
- computed `var` (non-view)
- `init`
- `body`View the complete source on GitHubthings3-manager
When your agent uses it
Manage tasks, projects, areas, headings, and tags in the Things 3 macOS app via a local CLI (list Inbox/Today/Upcoming/Anytime/Someday/Logbook, search, create/update/complete/cancel items, open items in Things). Use when Codex needs to manage Things 3 on macOS.
What it loads into context
Frontmatter
77 tokensAlways available to the agent
SKILL.md
791 tokensWhen the skill is activated
Reference documents
884 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick start
- Operating rules (for Codex)
- Local data and env
- Commands (CLI)
- Attribution
Scripts executed separately
scripts/formatters.pyscripts/setup.shscripts/thingsscripts/things_cli.pyscripts/url_scheme.py
Files
LICENSEasset1,073 bytesREADME.mddoc3,528 bytesSKILL.mdcore2,931 bytesSKILL.mdcore2,931 bytesSKILL.mdcore2,931 bytesSKILL.mdcore2,931 bytesSKILL.mdcore2,931 bytesscripts/formatters.pyruns7,190 bytesscripts/setup.shruns1,513 bytesscripts/thingsruns608 bytesscripts/things_cli.pyruns18,131 bytesscripts/url_scheme.pyruns4,970 bytes
Read SKILL.md
# Things 3 Manager (CLI)
## Quick start
- Ensure Things 3 is installed and opened at least once.
- In Things → Settings → General: enable “Enable Things URLs”.
- Run the CLI (auto-bootstraps `.skills-data/things3-manager/venv` and installs deps on first run):
- `bash .codex/skills/things3-manager/scripts/things --help`
- `bash .codex/skills/things3-manager/scripts/things inbox`
- `bash .codex/skills/things3-manager/scripts/things search "weekly review"`
- `bash .codex/skills/things3-manager/scripts/things add-todo --title "Book flights" --when today --tag travel --checklist "passport" --checklist "charger"`
## Operating rules (for Codex)
- Prefer read-only commands first (`inbox`, `today`, `search`, `projects`, `areas`, `tags`) to discover UUIDs and current state.
- Before any write command (`add-todo`, `add-project`, `update-todo`, `update-project`), summarize the exact changes and confirm with the user.View the complete source on GitHubWhen your agent uses it
What it loads into context
Frontmatter
0 tokensAlways available to the agent
SKILL.md
2,019 tokensWhen the skill is activated
Reference documents
11,048 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Sharp Edges Detection
- Variant Analysis
- Workflow
- Integration with Static Analysis
- Examples
- Resources
- Guidelines
- Skill Files
Files
SKILL.mdcore8,899 bytesSKILL.mdcore8,899 bytesSKILL.mdcore8,899 bytesSKILL.mdcore8,899 bytesdocs/methodology.mddoc8,532 bytesexamples/smart-contracts/reentrancy-hunt.mddoc9,112 bytesexamples/web-apps/sql-injection-hunt.mddoc5,882 bytesresources/sharp-edges-catalog.mddoc7,926 bytesresources/variant-patterns.mddoc10,191 bytestemplates/variant-report.mddoc3,457 bytes
Read SKILL.md
# VulnHunter - Security Vulnerability Detection & Analysis
A comprehensive security audit skill for identifying dangerous APIs, footgun patterns, error-prone configurations, and hunting for vulnerability variants across codebases. Inspired by Trail of Bits' sharp-edges and variant-analysis methodologies.
## Overview
VulnHunter combines two powerful security analysis techniques:
1. **Sharp Edges Detection** - Identify error-prone APIs, dangerous defaults, and footgun designs
2. **Variant Analysis** - Find similar vulnerabilities across codebases using pattern-based analysis
### When to Use VulnHunter
**Activate this skill when:**
- Conducting security code reviews or audits
- Reviewing third-party dependencies for dangerous patternsView the complete source on GitHubwordpress-plugin-core
When your agent uses it
Build secure WordPress plugins with hooks, database interactions, Settings API, custom post types, and REST API. Covers Simple, OOP, and PSR-4 architecture patterns plus the Security Trinity. Includes WordPress 6.7-6.9 breaking changes. Use when creating plugins or troubleshooting SQL injection, XSS, CSRF, REST API vulnerabilities, wpdb::prepare errors, nonce edge cases, or WordPress 6.8+ bcrypt migration.
What it loads into context
Frontmatter
111 tokensAlways available to the agent
SKILL.md
9,883 tokensWhen the skill is activated
Reference documents
20,155 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Security Foundation (Detailed)
- Critical Rules
- Known Issues Prevention
- Plugin Architecture Patterns
- Common Patterns
- Bundled Resources
- Advanced Topics
- Distribution & Auto-Updates
- Dependencies
- Official Documentation
- Troubleshooting
- Complete Setup Checklist
Scripts executed separately
examples/github-updater.phpscripts/example-script.shscripts/scaffold-plugin.shtemplates/examples/ajax-handler.phptemplates/examples/custom-post-type.phptemplates/examples/meta-box.phptemplates/examples/rest-endpoint.phptemplates/examples/settings-page.phptemplates/plugin-oop/my-oop-plugin.phptemplates/plugin-oop/uninstall.phptemplates/plugin-oop/views/admin-settings.phptemplates/plugin-psr4/my-psr4-plugin.phptemplates/plugin-psr4/src/API/BookEndpoints.phptemplates/plugin-psr4/src/Admin/Settings.phptemplates/plugin-psr4/src/Frontend/Assets.phptemplates/plugin-psr4/src/Plugin.phptemplates/plugin-psr4/src/PostTypes/Book.phptemplates/plugin-psr4/src/Taxonomies/Genre.phptemplates/plugin-psr4/uninstall.phptemplates/plugin-simple/my-simple-plugin.phptemplates/plugin-simple/uninstall.php
Files
.claude-plugin/plugin.jsonasset667 bytesREADME.mddoc10,993 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesSKILL.mdcore37,950 bytesassets/example-template.txtdoc416 bytesexamples/github-updater.phpruns15,649 bytesreferences/common-hooks.mddoc2,815 bytesreferences/example-reference.mddoc760 bytesreferences/github-auto-updates.mddoc31,045 bytesreferences/security-checklist.mddoc11,991 bytesscripts/example-script.shruns302 bytesscripts/scaffold-plugin.shruns4,962 bytestemplates/examples/ajax-handler.phpruns8,242 bytestemplates/examples/custom-post-type.phpruns9,679 bytestemplates/examples/meta-box.phpruns6,423 bytestemplates/examples/rest-endpoint.phpruns8,892 bytestemplates/examples/settings-page.phpruns8,098 bytestemplates/plugin-oop/README.mddoc7,589 bytestemplates/plugin-oop/my-oop-plugin.phpruns12,848 bytestemplates/plugin-oop/uninstall.phpruns929 bytestemplates/plugin-oop/views/admin-settings.phpruns2,101 bytestemplates/plugin-psr4/README.mddoc9,957 bytestemplates/plugin-psr4/composer.jsonasset706 bytestemplates/plugin-psr4/my-psr4-plugin.phpruns1,734 bytestemplates/plugin-psr4/src/API/BookEndpoints.phpruns5,381 bytestemplates/plugin-psr4/src/Admin/Settings.phpruns5,193 bytestemplates/plugin-psr4/src/Frontend/Assets.phpruns2,078 bytestemplates/plugin-psr4/src/Plugin.phpruns2,410 bytestemplates/plugin-psr4/src/PostTypes/Book.phpruns4,993 bytestemplates/plugin-psr4/src/Taxonomies/Genre.phpruns1,924 bytestemplates/plugin-psr4/uninstall.phpruns929 bytestemplates/plugin-simple/README.mddoc4,742 bytestemplates/plugin-simple/my-simple-plugin.phpruns7,550 bytestemplates/plugin-simple/uninstall.phpruns1,334 bytes
Read SKILL.md
# WordPress Plugin Development (Core)
**Last Updated**: 2026-01-21
**Latest Versions**: WordPress 6.9+ (Dec 2, 2025), PHP 8.0+ recommended, PHP 8.5 compatible
**Dependencies**: None (WordPress 5.9+, PHP 7.4+ minimum)
---
## Quick Start
**Architecture Patterns**: Simple (functions only, <5 functions) | OOP (medium plugins) | PSR-4 (modern/large, recommended 2025+)
**Plugin Header** (only Plugin Name required):
```phpView the complete source on GitHubwordpress-router
When your agent uses it
Use when the user asks about WordPress codebases (plugins, themes, block themes, Gutenberg blocks, WP core checkouts) and you need to quickly classify the repo and route to the correct workflow/skill (blocks, theme.json, REST API, WP-CLI, performance, security, testing, release packaging).
What it loads into context
Frontmatter
111 tokensAlways available to the agent
SKILL.md
512 tokensWhen the skill is activated
Reference documents
680 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use
- Inputs required
- Procedure
- Verification
- Failure modes / debugging
- Escalation
Files
SKILL.mdcore2,227 bytesSKILL.mdcore2,227 bytesSKILL.mdcore2,227 bytesreferences/decision-tree.mddoc2,731 bytes
Read SKILL.md
# WordPress Router
## When to use
Use this skill at the start of most WordPress tasks to:
- identify what kind of WordPress codebase this is (plugin vs theme vs block theme vs WP core checkout vs full site),
- pick the right workflow and guardrails,
- delegate to the most relevant domain skill(s).
## Inputs required
- Repo root (current working directory).
- The user’s intent (what they want changed) and any constraints (WP version targets, WP.com specifics, release requirements).View the complete source on GitHubwp-abilities-api
When your agent uses it
Use when working with the WordPress Abilities API (wp_register_ability, wp_register_ability_category, /wp-json/wp-abilities/v1/*, @wordpress/abilities) including defining abilities, categories, meta, REST exposure, and permissions checks for clients.
What it loads into context
Frontmatter
102 tokensAlways available to the agent
SKILL.md
837 tokensWhen the skill is activated
Reference documents
688 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use
- Inputs required
- Procedure
- Verification
- Failure modes / debugging
- Escalation
Files
SKILL.mdcore3,654 bytesSKILL.mdcore3,654 bytesreferences/php-registration.mddoc2,541 bytesreferences/rest-api.mddoc378 bytes
Read SKILL.md
# WP Abilities API
## When to use
Use this skill when the task involves:
- registering abilities or ability categories in PHP,
- exposing abilities to clients via REST (`wp-abilities/v1`),
- consuming abilities in JS (notably `@wordpress/abilities`),
- diagnosing “ability doesn’t show up” / “client can’t see ability” / “REST returns empty”.
## Inputs required
- Repo root (run `wp-project-triage` first if you haven’t).View the complete source on GitHubwp-block-development
When your agent uses it
Use when developing WordPress (Gutenberg) blocks: block.json metadata, register_block_type(_from_metadata), attributes/serialization, supports, dynamic rendering (render.php/render_callback), deprecations/migrations, viewScript vs viewScriptModule, and @wordpress/scripts/@wordpress/create-block build and test workflows.
What it loads into context
Frontmatter
110 tokensAlways available to the agent
SKILL.md
1,451 tokensWhen the skill is activated
Reference documents
2,321 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use
- Inputs required
- Procedure
- Verification
- Failure modes / debugging
- Escalation
Scripts executed separately
scripts/list_blocks.mjs
Files
SKILL.mdcore6,492 bytesSKILL.mdcore6,492 bytesSKILL.mdcore6,492 bytesSKILL.mdcore6,492 bytesSKILL.mdcore6,492 bytesreferences/attributes-and-serialization.mddoc759 bytesreferences/block-json.mddoc2,336 bytesreferences/creating-new-blocks.mddoc1,594 bytesreferences/debugging.mddoc1,372 bytesreferences/deprecations.mddoc665 bytesreferences/dynamic-rendering.mddoc685 bytesreferences/inner-blocks.mddoc1,196 bytesreferences/registration.mddoc932 bytesreferences/supports-and-wrappers.mddoc512 bytesreferences/tooling-and-testing.mddoc928 bytesscripts/list_blocks.mjsruns2,889 bytes
Read SKILL.md
# WP Block Development
## When to use
Use this skill for block work such as:
- creating a new block, or updating an existing one
- changing `block.json` (scripts/styles/supports/attributes/render/viewScriptModule)
- fixing “block invalid / not saving / attributes not persisting”
- adding dynamic rendering (`render.php` / `render_callback`)
- block deprecations and migrations (`deprecated` versions)
- build tooling for blocks (`@wordpress/scripts`, `@wordpress/create-block`, `wp-env`)
## Inputs requiredView the complete source on GitHubwp-block-themes
When your agent uses it
Use when developing WordPress block themes: theme.json (global settings/styles), templates and template parts, patterns, style variations, and Site Editor troubleshooting (style hierarchy, overrides, caching).
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
882 tokensWhen the skill is activated
Reference documents
1,261 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use
- Inputs required
- Procedure
- Verification
- Failure modes / debugging
- Escalation
Scripts executed separately
scripts/detect_block_themes.mjs
Files
SKILL.mdcore3,968 bytesSKILL.mdcore3,968 bytesSKILL.mdcore3,968 bytesSKILL.mdcore3,968 bytesreferences/creating-new-block-theme.mddoc1,378 bytesreferences/debugging.mddoc721 bytesreferences/patterns.mddoc592 bytesreferences/style-variations.mddoc439 bytesreferences/templates-and-parts.mddoc442 bytesreferences/theme-json.mddoc2,214 bytesscripts/detect_block_themes.mjsruns2,736 bytes
Read SKILL.md
# WP Block Themes
## When to use
Use this skill for block theme work such as:
- editing `theme.json` (presets, settings, styles, per-block styles)
- adding or changing templates (`templates/*.html`) and template parts (`parts/*.html`)
- adding patterns (`patterns/*.php`) and controlling what appears in the inserter
- adding style variations (`styles/*.json`)
- debugging “styles not applying” / “editor doesn’t reflect theme.json”
## Inputs required
View the complete source on GitHubwp-interactivity-api
When your agent uses it
Use when building or debugging WordPress Interactivity API features (data-wp-* directives, @wordpress/interactivity store/state/actions, block viewScriptModule integration, wp_interactivity_*()) including performance, hydration, and directive behavior.
What it loads into context
Frontmatter
94 tokensAlways available to the agent
SKILL.md
1,431 tokensWhen the skill is activated
Reference documents
2,606 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use
- Inputs required
- Procedure
- Verification
- Failure modes / debugging
- Escalation
Files
SKILL.mdcore6,188 bytesSKILL.mdcore6,188 bytesSKILL.mdcore6,188 bytesSKILL.mdcore6,188 bytesSKILL.mdcore6,188 bytesSKILL.mdcore6,188 bytesreferences/debugging.mddoc1,371 bytesreferences/directives-quickref.mddoc1,163 bytesreferences/server-side-rendering.mddoc7,733 bytes
Read SKILL.md
# WP Interactivity API
## When to use
Use this skill when the user mentions:
- Interactivity API, `@wordpress/interactivity`,
- `data-wp-interactive`, `data-wp-on--*`, `data-wp-bind--*`, `data-wp-context`,
- block `viewScriptModule` / module-based view scripts,
- hydration issues or “directives don’t fire”.
## Inputs required
- Repo root + triage output (`wp-project-triage`).View the complete source on GitHubwp-performance
When your agent uses it
Use when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification.
What it loads into context
Frontmatter
101 tokensAlways available to the agent
SKILL.md
1,366 tokensWhen the skill is activated
Reference documents
1,712 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use
- Inputs required
- Procedure
- WordPress 6.9 performance improvements
- Verification
- Failure modes / debugging
- Escalation
Scripts executed separately
scripts/perf_inspect.mjs
Files
SKILL.mdcore5,848 bytesSKILL.mdcore5,848 bytesreferences/autoload-options.mddoc810 bytesreferences/cron.mddoc483 bytesreferences/database.mddoc619 bytesreferences/http-api.mddoc458 bytesreferences/measurement.mddoc1,037 bytesreferences/object-cache.mddoc756 bytesreferences/query-monitor-headless.mddoc1,108 bytesreferences/server-timing.mddoc639 bytesreferences/wp-cli-doctor.mddoc660 bytesreferences/wp-cli-profile.mddoc858 bytesscripts/perf_inspect.mjsruns4,630 bytes
Read SKILL.md
# WP Performance (backend-only)
## When to use
Use this skill when:
- a WordPress site/page/endpoint is slow (frontend TTFB, admin, REST, WP-Cron)
- you need a profiling plan and tooling recommendations (WP-CLI profile/doctor, Query Monitor, Xdebug/XHProf, APMs)
- you’re optimizing DB queries, autoloaded options, object caching, cron tasks, or remote HTTP calls
This skill assumes the agent cannot use a browser UI. Prefer WP-CLI, logs, and HTTP requests.
## Inputs required
View the complete source on GitHubwp-phpstan
When your agent uses it
Use when configuring, running, or fixing PHPStan static analysis in WordPress projects (plugins/themes/sites): phpstan.neon setup, baselines, WordPress-specific typing, and handling third-party plugin classes.
What it loads into context
Frontmatter
80 tokensAlways available to the agent
SKILL.md
931 tokensWhen the skill is activated
Reference documents
1,687 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use
- Inputs required
- Procedure
- Verification
- Failure modes / debugging
- Escalation
Scripts executed separately
scripts/phpstan_inspect.mjs
Files
SKILL.mdcore4,101 bytesSKILL.mdcore4,101 bytesSKILL.mdcore4,101 bytesreferences/configuration.mddoc1,366 bytesreferences/third-party-classes.mddoc2,901 bytesreferences/wordpress-annotations.mddoc3,041 bytesscripts/phpstan_inspect.mjsruns8,033 bytes
Read SKILL.md
# WP PHPStan
## When to use
Use this skill when working on PHPStan in a WordPress codebase, for example:
- setting up or updating `phpstan.neon` / `phpstan.neon.dist`
- generating or updating `phpstan-baseline.neon`
- fixing PHPStan errors via WordPress-friendly PHPDoc (REST requests, hooks, query results)
- handling third-party plugin/theme classes safely (stubs/autoload/targeted ignores)
## Inputs required
- `wp-project-triage` output (run first if you haven't)View the complete source on GitHubwp-playground
When your agent uses it
Use for WordPress Playground workflows: fast disposable WP instances in the browser or locally via @wp-playground/cli (server, run-blueprint, build-snapshot), auto-mounting plugins/themes, switching WP/PHP versions, blueprints, and debugging (Xdebug).
What it loads into context
Frontmatter
107 tokensAlways available to the agent
SKILL.md
1,140 tokensWhen the skill is activated
Reference documents
1,042 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use
- Inputs required
- Procedure
- Verification
- Failure modes / debugging
- Escalation
Files
SKILL.mdcore4,618 bytesSKILL.mdcore4,618 bytesSKILL.mdcore4,618 bytesSKILL.mdcore4,618 bytesreferences/blueprints.mddoc1,508 bytesreferences/cli-commands.mddoc1,563 bytesreferences/debugging.mddoc822 bytes
Read SKILL.md
# WordPress Playground
## When to use
- Spin up a disposable WordPress to test a plugin/theme without full stack setup.
- Run or iterate on Playground Blueprints (JSON) locally.
- Build a reproducible snapshot of a site for sharing or CI.
- Switch WP/PHP versions quickly to reproduce issues.
- Debug plugin/theme code with Xdebug in an isolated Playground.
## Inputs required
- Host machine readiness: Node.js ≥ 20.18, `npm`/`npx` available.
- Project path to mount (`--auto-mount` or explicit mount mapping).View the complete source on GitHubwp-plugin-development
When your agent uses it
Use when developing WordPress plugins: architecture and hooks, activation/deactivation/uninstall, admin UI and Settings API, data storage, cron/tasks, security (nonces/capabilities/sanitization/escaping), and release packaging.
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
888 tokensWhen the skill is activated
Reference documents
820 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use
- Inputs required
- Procedure
- Verification
- Failure modes / debugging
- Escalation
Scripts executed separately
scripts/detect_plugins.mjs
Files
SKILL.mdcore3,997 bytesSKILL.mdcore3,997 bytesSKILL.mdcore3,997 bytesSKILL.mdcore3,997 bytesreferences/data-and-cron.mddoc678 bytesreferences/debugging.mddoc559 bytesreferences/lifecycle.mddoc854 bytesreferences/security.mddoc787 bytesreferences/settings-api.mddoc703 bytesreferences/structure.mddoc401 bytesscripts/detect_plugins.mjsruns2,842 bytes
Read SKILL.md
# WP Plugin Development
## When to use
Use this skill for plugin work such as:
- creating or refactoring plugin structure (bootstrap, includes, namespaces/classes)
- adding hooks/actions/filters
- activation/deactivation/uninstall behavior and migrations
- adding settings pages / options / admin UI (Settings API)
- security fixes (nonces, capabilities, sanitization/escaping, SQL safety)
- packaging a release (build artifacts, readme, assets)
## Inputs requiredView the complete source on GitHubwp-project-triage
When your agent uses it
Use when you need a deterministic inspection of a WordPress repository (plugin/theme/block theme/WP core/Gutenberg/full site) including tooling/tests/version hints, and a structured JSON report to guide workflows and guardrails.
What it loads into context
Frontmatter
93 tokensAlways available to the agent
SKILL.md
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
- When to use
- Inputs required
- Procedure
- Verification
- Failure modes / debugging
Scripts executed separately
scripts/detect_wp_project.mjs
Files
SKILL.mdcore1,485 bytesSKILL.mdcore1,485 bytesSKILL.mdcore1,485 bytesreferences/triage.schema.jsonasset4,480 bytesscripts/detect_wp_project.mjsruns19,183 bytes
Read SKILL.md
# WP Project Triage
## When to use
Use this skill to quickly understand what kind of WordPress repo you’re in and what commands/conventions to follow before making changes.
## Inputs required
- Repo root (current working directory).
## Procedure
1. Run the detector (prints JSON to stdout):
- `node skills/wp-project-triage/scripts/detect_wp_project.mjs`View the complete source on GitHubwp-wpcli-and-ops
When your agent uses it
Use when working with WP-CLI (wp) for WordPress operations: safe search-replace, db export/import, plugin/theme/user/content management, cron, cache flushing, multisite, and scripting/automation with wp-cli.yml.
What it loads into context
Frontmatter
91 tokensAlways available to the agent
SKILL.md
948 tokensWhen the skill is activated
Reference documents
1,116 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use
- Inputs required
- Procedure
- Verification
- Failure modes / debugging
- Escalation
Scripts executed separately
scripts/wpcli_inspect.mjs
Files
SKILL.mdcore3,976 bytesSKILL.mdcore3,976 bytesreferences/automation.mddoc628 bytesreferences/cron-and-cache.mddoc490 bytesreferences/debugging.mddoc519 bytesreferences/multisite.mddoc568 bytesreferences/packages-and-updates.mddoc530 bytesreferences/safety.mddoc804 bytesreferences/search-replace.mddoc1,006 bytesscripts/wpcli_inspect.mjsruns3,048 bytes
Read SKILL.md
# WP-CLI and Ops
## When to use
Use this skill when the task involves WordPress operational work via WP-CLI, including:
- `wp search-replace` (URL changes, domain migrations, protocol switch)
- DB export/import, resets, and inspections (`wp db *`)
- plugin/theme install/activate/update, language packs
- cron event listing/running
- cache/rewrite flushing
- multisite operations (`wp site *`, `--url`, `--network`)
- building repeatable scripts (`wp-cli.yml`, shell scripts, CI jobs)
View the complete source on GitHubwriting-clearly-and-concisely
When your agent uses it
Use when writing prose humans will read—documentation, commit messages, error messages, explanations, reports, or UI text. Applies Strunk's timeless rules for clearer, stronger, more professional writing.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
844 tokensWhen the skill is activated
Reference documents
38,725 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Limited Context Strategy
- Elements of Style
- AI Writing Patterns to Avoid
- Bottom Line
Files
README.mddoc6,078 bytesSKILL.mdcore3,768 byteselements-of-style/01-introductory.mddoc303 byteselements-of-style/02-elementary-rules-of-usage.mddoc12,168 byteselements-of-style/03-elementary-principles-of-composition.mddoc33,622 byteselements-of-style/04-a-few-matters-of-form.mddoc4,918 byteselements-of-style/05-words-and-expressions-commonly-misused.mddoc22,310 bytessigns-of-ai-writing.mddoc94,774 bytes
Read SKILL.md
# Writing Clearly and Concisely
## Overview
Write with clarity and force. This skill covers what to do (Strunk) and what not to do (AI patterns).
## When to Use This Skill
Use this skill whenever you write prose for humans:
- Documentation, README files, technical explanations
- Commit messages, pull request descriptions
- Error messages, UI copy, help text, comments
- Reports, summaries, or any explanationView the complete source on GitHubx-bookmarks-manager
When your agent uses it
Read X/Twitter bookmarks using the bird CLI, verify the active account via `bird whoami`, and return bookmarks as JSON. Use when the user asks to list, search, summarize, or export X bookmarks, or when you must validate the active X account before fetching bookmarks.
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
657 tokensWhen the skill is activated
Reference documents
792 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Workflow (agent-driven)
- Commands
- Output
- Account safety
- Local data and env
- Notes
Scripts executed separately
scripts/setup.shscripts/x-bookmarks
Files
LICENSEasset1,073 bytesREADME.mddoc3,251 bytesSKILL.mdcore2,640 bytesassets/bookmarks-sample.pngasset210,598 bytesscripts/setup.shruns1,839 bytesscripts/x-bookmarksruns2,332 bytes
Read SKILL.md
# X Bookmarks Manager
## Overview
Fetch X bookmarks via a local bird CLI install and return JSON for the agent to summarize or filter.
## Workflow (agent-driven)
1. Ensure bird is installed locally via `scripts/setup.sh` (installs with npm into `.skills-data`).
2. Ensure `BIRD_EXPECTED_USER` is set in `.skills-data/x-bookmarks-manager/.env`.
3. Run `scripts/x-bookmarks` to validate the account and output JSON.
4. Parse or summarize the JSON for the user.
## Commands
- `scripts/x-bookmarks`: validate `bird whoami` and print `bird bookmarks --json`.
- `scripts/setup.sh`: install bird in `.skills-data/x-bookmarks-manager/venv/node_modules/.bin/bird` and create `.env`.View the complete source on GitHubSkills included
- ab-test-setup
- agent-browser
- analytics-tracking
- brainstorming
- browser-use
- c4-architecture
- competitor-alternatives
- copy-editing
- copywriting
- crafting-effective-readmes
- drift-protocol
- email-sequence
- enterprise-readiness
- epub-translate
- example-skill
- form-cro
- free-tool-strategy
- git-workflow
- helius
- hugging-face-cli
- hugging-face-tool-builder
- hugging-face-evaluation
- hugging-face-paper-publisher
- kamino
- launch-strategy
- marketing-ideas
- marketing-psychology
- mermaid-diagrams
- meteora
- hugging-face-model-trainer
- n8n-code-javascript
- n8n-code-python
- n8n-expression-syntax
- n8n-mcp-tools-expert
- n8n-node-configuration
- n8n-validation-expert
- n8n-workflow-patterns
- obsidian-vault-manager
- onboarding-cro
- openai-knowledge
- page-cro
- paid-ads
- paywall-upgrade-cro
- pinocchio-development
- popup-cro
- pricing-strategy
- programmatic-seo
- referral-program
- remotion-best-practices
- schema-markup
- seo-audit
- signup-flow-cro
- skill-boilerplate
- social-content
- solana-agent-kit
- solana-kit-migration
- spec-to-plan
- swift-concurrency-expert
- swiftui-liquid-glass
- swiftui-ui-patterns
- swiftui-view-refactor
- things3-manager
- wordpress-plugin-core
- wordpress-router
- wp-abilities-api
- wp-block-development
- wp-block-themes
- wp-interactivity-api
- wp-performance
- wp-phpstan
- wp-playground
- wp-plugin-development
- wp-project-triage
- wp-wpcli-and-ops
- writing-clearly-and-concisely
- x-bookmarks-manager
Repository facts
- License
- MIT
- Created
- Jan 4, 2026
- Last pushed
- Feb 15, 2026
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- Open issues
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Before you install
Network or broad shell checked with an earlier scanner versionAutomated signals, not a guarantee
Checked Nov 7, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 481 notes
.claude-plugin/marketplace.json:1Analysis incomplete: Referenced executable target unavailable; not analyzed.claude-plugin/marketplace.json:1Analysis incomplete: Referenced executable target unavailable; not analyzed.claude-plugin/marketplace.json:1Analysis incomplete: Referenced executable target unavailable; not analyzed.claude-plugin/marketplace.json:1Analysis incomplete: Referenced executable target unavailable; not analyzed.claude-plugin/marketplace.json:1Analysis incomplete: Referenced executable target unavailable; not analyzed.claude-plugin/marketplace.json:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagent-browser/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- 113 executable scriptsin 113 files: agent-browser/templates/authenticated-session.sh:1 agent-browser/templates/capture-workflow.sh:1 agent-browser/templates/form-automation.sh:1 and 110 more
- 2,889 network referencesin 301 files: .claude-plugin/marketplace.json:5 schema-markup/references/schema-examples.md:10 writing-clearly-and-concisely/signs-of-ai-writing.md:3 and 298 more
- 59 possibly dangerous shell commandsin 23 files: browser-use/SKILL.md:28 model-trainer/scripts/convert_to_gguf.py:27 skill-boilerplate-skill/references/os-install.md:29 and 20 more
- 459 possible references to secretsin 128 files: epub-translate/scripts/epub_translate.py:446 browser-use/SKILL.md:119 hugging-face-evaluation-manager/SKILL.md:149 and 125 more
- No broad tool permissions found
- 4 obfuscation signalsin 4 files: n8n-code-python/SKILL.md:583 n8n-code-python/STANDARD_LIBRARY.md:406 remotion/rules/maps.md:85 and 1 more
- No instruction overrides found
- No Hot vote requests found
Show all 3,524 signals by file
.claude-plugin/marketplace.json
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ab-test-setup/SKILL.md
ab-test-setup/references/sample-size-guide.md
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agent-browser/SKILL.md
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agent-browser/references/authentication.md
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agent-browser/references/commands.md
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agent-browser/references/proxy-support.md
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agent-browser/references/session-management.md
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agent-browser/references/snapshot-refs.md
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agent-browser/references/video-recording.md
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agent-browser/templates/authenticated-session.sh
agent-browser/templates/capture-workflow.sh
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agent-browser/templates/form-automation.sh
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analytics-tracking/references/event-library.md
analytics-tracking/references/ga4-implementation.md
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analytics-tracking/references/gtm-implementation.md
browser-use/SKILL.md
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[Credential-related source omitted] - Possibly dangerous shell commandline 50
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[Credential-related source omitted] - Possible network accessline 82
[Credential-related source omitted] - Possible network accessline 83
[Credential-related source omitted] - Possible network accessline 92
[Credential-related source omitted] - Possible access to secretsline 119
[Credential-related source omitted] - Possibly dangerous shell commandline 159
[Credential-related source omitted] - Possible access to secretsline 165
[Credential-related source omitted] - Possible access to secretsline 166
[Credential-related source omitted] - Possible access to secretsline 167
[Credential-related source omitted] - Possible access to secretsline 168
[Credential-related source omitted] - Possible access to secretsline 169
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[Credential-related source omitted] - Possible access to secretsline 171
[Credential-related source omitted] - Possible access to secretsline 172
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[Credential-related source omitted] - Possible access to secretsline 236
[Credential-related source omitted] - Possible network accessline 274
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[Credential-related source omitted] - Possible access to secretsline 278
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[Credential-related source omitted] - Possible access to secretsline 376
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[Credential-related source omitted] - Possible access to secretsline 633
[Credential-related source omitted] - Possible access to secretsline 649
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[Credential-related source omitted] - Possible network accessline 687
[Credential-related source omitted] - Possible access to secretsline 693
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c4-architecture/README.md
code-recon/SKILL.md
code-recon/docs/advanced-techniques.md
code-recon/examples/web-app-recon/fastapi-example.md
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crafting-effective-readmes/README.md
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crafting-effective-readmes/references/art-of-readme.md
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crafting-effective-readmes/references/make-a-readme.md
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crafting-effective-readmes/references/standard-readme-example-maximal.md
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crafting-effective-readmes/references/standard-readme-spec.md
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crafting-effective-readmes/templates/internal.md
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crafting-effective-readmes/templates/oss.md
dflow/SKILL.md
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dflow/docs/advanced-patterns.md
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dflow/docs/troubleshooting.md
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dflow/examples/declarative-swaps/intent-swap.ts
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dflow/examples/imperative-swaps/basic-swap.ts
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dflow/examples/trade-api/unified-trade.ts
- Executable scriptline 1
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dflow/resources/api-reference.md
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dflow/resources/error-codes.md
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dflow/resources/token-mints.md
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dflow/templates/swap-client.ts
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drift-protocol/SKILL.md
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drift-protocol/docs/market-making.md
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drift-protocol/docs/troubleshooting.md
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drift-protocol/docs/vaults.md
drift-protocol/examples/basic-setup/README.md
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drift-protocol/examples/jupiter-swaps/README.md
drift-protocol/examples/vaults/README.md
drift-protocol/templates/trading-bot-template.ts
enterprise-readiness-skill/SKILL.md
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enterprise-readiness-skill/references/2fa-enforcement.md
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enterprise-readiness-skill/references/badge-display.md
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enterprise-readiness-skill/references/branch-coverage.md
enterprise-readiness-skill/references/dco-implementation.md
enterprise-readiness-skill/references/documentation.md
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enterprise-readiness-skill/references/dynamic-analysis.md
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enterprise-readiness-skill/references/github.md
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[Credential-related source omitted] - Possibly dangerous shell commandline 382
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[Credential-related source omitted] - Possible network accessline 522
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[Credential-related source omitted] - Possible access to secretsline 523
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enterprise-readiness-skill/references/openssf-badge-gold.md
enterprise-readiness-skill/references/openssf-badge-silver.md
enterprise-readiness-skill/references/quick-start-guide.md
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[Credential-related source omitted] - Possible network accessline 94
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[Credential-related source omitted] - Possible network accessline 195
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enterprise-readiness-skill/references/reproducible-builds.md
enterprise-readiness-skill/references/security-hardening.md
- Possible network accessline 436
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enterprise-readiness-skill/references/signed-releases.md
- Possible network accessline 113
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enterprise-readiness-skill/references/slsa-provenance.md
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enterprise-readiness-skill/references/solo-maintainer-guide.md
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enterprise-readiness-skill/references/sonarcloud.md
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enterprise-readiness-skill/references/test-invocation.md
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enterprise-readiness-skill/scripts/add-spdx-headers.sh
- Executable scriptline 1
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enterprise-readiness-skill/scripts/analyze-bus-factor.sh
- Executable scriptline 1
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enterprise-readiness-skill/scripts/check-branch-coverage.sh
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enterprise-readiness-skill/scripts/check-coverage-threshold.sh
- Executable scriptline 1
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enterprise-readiness-skill/scripts/check-tls-minimum.sh
- Executable scriptline 1
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enterprise-readiness-skill/scripts/verify-badge-criteria.sh
- Executable scriptline 1
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enterprise-readiness-skill/scripts/verify-reproducible-build.sh
- Executable scriptline 1
[Credential-related source omitted] - Possibly dangerous shell commandline 28
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enterprise-readiness-skill/scripts/verify-review-requirements.sh
enterprise-readiness-skill/scripts/verify-signed-tags.sh
- Executable scriptline 1
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enterprise-readiness-skill/scripts/verify-spdx-headers.sh
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epub-translate/README.md
epub-translate/SKILL.md
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epub-translate/scripts/epub-translate
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epub-translate/scripts/epub_translate.py
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[Credential-related source omitted] - Possible access to secretsline 446
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git-workflow-skill/SKILL.md
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git-workflow-skill/checkpoints.yaml
git-workflow-skill/references/advanced-git.md
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git-workflow-skill/references/ci-cd-integration.md
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git-workflow-skill/scripts/verify-git-workflow.sh
helius/SKILL.md
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helius/docs/troubleshooting.md
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helius/examples/basic-rpc/README.md
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helius/examples/fetch-nfts/README.md
- Possible access to secretsline 11
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helius/examples/send-transactions/README.md
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[Credential-related source omitted] - Possible access to secretsline 472
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helius/examples/streaming/README.md
helius/examples/webhooks/README.md
- Possible access to secretsline 11
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[Credential-related source omitted] - Possible access to secretsline 176
[Credential-related source omitted] - Possible network accessline 375
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[Credential-related source omitted] - Possible access to secretsline 398
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[Credential-related source omitted] - Possible access to secretsline 511
[Credential-related source omitted]
helius/resources/das-api.md
helius/resources/enhanced-apis.md
- Possible network accessline 26
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helius/resources/rpc-methods.md
- Possible network accessline 7
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helius/resources/sdk-reference.md
- Possible access to secretsline 25
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helius/resources/webhooks.md
- Possible network accessline 27
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[Credential-related source omitted] - Possible network accessline 111
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[Credential-related source omitted] - Possible access to secretsline 113
[Credential-related source omitted] - Possible network accessline 126
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[Credential-related source omitted] - Possible access to secretsline 128
[Credential-related source omitted] - Possible network accessline 137
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[Credential-related source omitted] - Possible network accessline 144
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[Credential-related source omitted] - Possible access to secretsline 146
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[Credential-related source omitted] - Possible access to secretsline 169
[Credential-related source omitted] - Possible network accessline 438
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[Credential-related source omitted]
helius/resources/zk-compression.md
- Possible network accessline 541
[Credential-related source omitted]
helius/templates/helius-setup.ts
- Executable scriptline 1
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[Credential-related source omitted] - Possible access to secretsline 55
[Credential-related source omitted] - Possible network accessline 61
[Credential-related source omitted] - Possible network accessline 62
[Credential-related source omitted] - Possible network accessline 63
[Credential-related source omitted] - Possible access to secretsline 63
[Credential-related source omitted] - Possible access to secretsline 64
[Credential-related source omitted] - Possible network accessline 65
[Credential-related source omitted] - Possible network accessline 66
[Credential-related source omitted] - Possible network accessline 67
[Credential-related source omitted] - Possible access to secretsline 67
[Credential-related source omitted] - Possible access to secretsline 68
[Credential-related source omitted] - Possible access to secretsline 78
[Credential-related source omitted]
hf-cli/SKILL.md
- Possibly dangerous shell commandline 22
[Credential-related source omitted] - Possible access to secretsline 38
[Credential-related source omitted] - Possibly dangerous shell commandline 92
[Credential-related source omitted] - Possibly dangerous shell commandline 93
[Credential-related source omitted] - Possibly dangerous shell commandline 173
[Credential-related source omitted]
hf-cli/references/commands.md
- Possible access to secretsline 28
[Credential-related source omitted] - Possible access to secretsline 29
[Credential-related source omitted] - Possibly dangerous shell commandline 445
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[Credential-related source omitted] - Possibly dangerous shell commandline 447
[Credential-related source omitted] - Possibly dangerous shell commandline 448
[Credential-related source omitted] - Possible access to secretsline 672
[Credential-related source omitted] - Possible access to secretsline 675
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[Credential-related source omitted] - Possible network accessline 723
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[Credential-related source omitted]
hf-cli/references/examples.md
- Possibly dangerous shell commandline 245
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[Credential-related source omitted] - Possible access to secretsline 262
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[Credential-related source omitted]
hf-tool-builder/SKILL.md
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hugging-face-evaluation-manager/scripts/run_eval_job.py
hugging-face-evaluation-manager/scripts/run_vllm_eval_job.py
hugging-face-evaluation-manager/scripts/test_extraction.py
hugging-face-paper-publisher/SKILL.md
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meteora/examples/stake-for-fee/staking.ts
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meteora/examples/vault/deposit-withdraw.ts
meteora/resources/alpha-vault-reference.md
meteora/resources/bonding-curve-reference.md
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meteora/resources/dlmm-api-reference.md
meteora/resources/m3m3-api-reference.md
meteora/resources/program-addresses.md
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meteora/resources/vault-api-reference.md
meteora/templates/liquidity-manager.ts
meteora/templates/token-launch.ts
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meteora/templates/trading-bot.ts
model-trainer/SKILL.md
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model-trainer/references/gguf_conversion.md
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model-trainer/references/hardware_guide.md
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model-trainer/references/hub_saving.md
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model-trainer/references/reliability_principles.md
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model-trainer/references/trackio_guide.md
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model-trainer/references/training_methods.md
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model-trainer/references/training_patterns.md
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model-trainer/references/troubleshooting.md
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model-trainer/references/unsloth.md
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model-trainer/scripts/convert_to_gguf.py
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model-trainer/scripts/dataset_inspector.py
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model-trainer/scripts/estimate_cost.py
model-trainer/scripts/train_dpo_example.py
model-trainer/scripts/train_grpo_example.py
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model-trainer/scripts/train_sft_example.py
model-trainer/scripts/unsloth_sft_example.py
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n8n-code-javascript/BUILTIN_FUNCTIONS.md
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n8n-code-javascript/DATA_ACCESS.md
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n8n-code-javascript/README.md
n8n-code-javascript/SKILL.md
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n8n-code-python/DATA_ACCESS.md
n8n-code-python/ERROR_PATTERNS.md
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n8n-code-python/README.md
n8n-code-python/SKILL.md
n8n-code-python/STANDARD_LIBRARY.md
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n8n-expression-syntax/EXAMPLES.md
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n8n-expression-syntax/README.md
n8n-expression-syntax/SKILL.md
n8n-mcp-tools-expert/README.md
n8n-mcp-tools-expert/SEARCH_GUIDE.md
n8n-mcp-tools-expert/SKILL.md
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n8n-mcp-tools-expert/WORKFLOW_GUIDE.md
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n8n-node-configuration/OPERATION_PATTERNS.md
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n8n-validation-expert/ERROR_CATALOG.md
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n8n-validation-expert/FALSE_POSITIVES.md
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n8n-validation-expert/README.md
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n8n-workflow-patterns/README.md
n8n-workflow-patterns/ai_agent_workflow.md
n8n-workflow-patterns/http_api_integration.md
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obsidian-agent-skill/scripts/obsidian_cli.py
obsidian-agent-skill/scripts/vault_registry.py
openai-knowledge/SKILL.md
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raydium/templates/raydium-setup.ts
remotion/rules/assets.md
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remotion/rules/maps.md
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schema-markup/SKILL.md
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skill-boilerplate-skill/README.md
skill-boilerplate-skill/SKILL.md
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skill-boilerplate-skill/references/boilerplate-functions.md
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skill-boilerplate-skill/scripts/ensure_skill_data.py
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skill-boilerplate-skill/scripts/install_utils.py
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skill-boilerplate-skill/scripts/setup_envs.py
solana-agent-kit/SKILL.md
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solana-agent-kit/docs/troubleshooting.md
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solana-agent-kit/examples/autonomous-agent/README.md
solana-agent-kit/examples/langchain/README.md
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solana-agent-kit/examples/vercel-ai/README.md
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solana-agent-kit/resources/actions-reference.md
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solana-agent-kit/templates/agent-template.ts
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solana-kit-migration/SKILL.md
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solana-kit-migration/examples/mixed-codebase/anchor-with-kit.md
solana-kit-migration/examples/v1-to-kit/basic-transfer.md
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solana-kit-migration/examples/v1-to-kit/subscription-handling.md
solana-kit-migration/examples/v1-to-kit/token-operations.md
solana-kit-migration/resources/api-mappings.md
solana-kit-migration/scripts/analyze-migration.sh
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wp-block-themes/references/theme-json.md
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[Credential-related source omitted] - Possible network accessline 17
[Credential-related source omitted] - Possible network accessline 18
[Credential-related source omitted] - Possible network accessline 19
[Credential-related source omitted] - Possible network accessline 58
[Credential-related source omitted] - Possible network accessline 59
[Credential-related source omitted]
wp-block-themes/scripts/detect_block_themes.mjs
- Executable scriptline 1
[Credential-related source omitted]
wp-interactivity-api/references/server-side-rendering.md
wp-performance/SKILL.md
- Possible network accessline 124
[Credential-related source omitted]
wp-performance/references/autoload-options.md
wp-performance/references/cron.md
- Possible network accessline 13
[Credential-related source omitted]
wp-performance/references/database.md
- Possible network accessline 19
[Credential-related source omitted]
wp-performance/references/measurement.md
- Possible network accessline 6
[Credential-related source omitted] - Possible network accessline 7
[Credential-related source omitted] - Possible network accessline 8
[Credential-related source omitted] - Possible network accessline 19
[Credential-related source omitted] - Possible network accessline 20
[Credential-related source omitted]
wp-performance/references/object-cache.md
wp-performance/references/query-monitor-headless.md
wp-performance/references/server-timing.md
wp-performance/references/wp-cli-doctor.md
wp-performance/references/wp-cli-profile.md
wp-performance/scripts/perf_inspect.mjs
- Executable scriptline 1
[Credential-related source omitted]
wp-phpstan/scripts/phpstan_inspect.mjs
- Executable scriptline 1
[Credential-related source omitted]
wp-playground/SKILL.md
- Possible network accessline 40
[Credential-related source omitted] - Possible network accessline 79
[Credential-related source omitted] - Possible network accessline 80
[Credential-related source omitted] - Possible network accessline 81
[Credential-related source omitted] - Possible network accessline 100
[Credential-related source omitted] - Possible network accessline 101
[Credential-related source omitted]
wp-playground/references/blueprints.md
- Possible network accessline 8
[Credential-related source omitted] - Possible network accessline 9
[Credential-related source omitted] - Possible network accessline 10
[Credential-related source omitted] - Possible network accessline 11
[Credential-related source omitted] - Possible network accessline 12
[Credential-related source omitted]
wp-plugin-development/references/lifecycle.md
wp-plugin-development/references/security.md
wp-plugin-development/references/settings-api.md
wp-plugin-development/references/structure.md
- Possible network accessline 15
[Credential-related source omitted]
wp-plugin-development/scripts/detect_plugins.mjs
- Executable scriptline 1
[Credential-related source omitted]
wp-project-triage/references/triage.schema.json
wp-project-triage/scripts/detect_wp_project.mjs
- Executable scriptline 1
[Credential-related source omitted]
wp-wpcli-and-ops/scripts/wpcli_inspect.mjs
- Executable scriptline 1
[Credential-related source omitted]
writing-clearly-and-concisely/README.md
writing-clearly-and-concisely/elements-of-style/04-a-few-matters-of-form.md
writing-clearly-and-concisely/signs-of-ai-writing.md
- Possible network accessline 3
[Credential-related source omitted] - Possible network accessline 7
[Credential-related source omitted] - Possible network accessline 9
[Credential-related source omitted] - Possible network accessline 11
[Credential-related source omitted] - Possible network accessline 13
[Credential-related source omitted] - Possible network accessline 15
[Credential-related source omitted] - Possible network accessline 21
[Credential-related source omitted] - Possible network accessline 33
[Credential-related source omitted] - Possible network accessline 35
[Credential-related source omitted] - Possible network accessline 43
[Credential-related source omitted] - Possible network accessline 61
[Credential-related source omitted] - Possible network accessline 75
[Credential-related source omitted] - Possible network accessline 77
[Credential-related source omitted] - Possible network accessline 87
[Credential-related source omitted] - Possible network accessline 89
[Credential-related source omitted] - Possible network accessline 91
[Credential-related source omitted] - Possible network accessline 103
[Credential-related source omitted] - Possible network accessline 119
[Credential-related source omitted] - Possible obfuscationline 165
[Credential-related source omitted] - Possible network accessline 171
[Credential-related source omitted] - Possible network accessline 189
[Credential-related source omitted] - Possible network accessline 193
[Credential-related source omitted] - Possible network accessline 197
[Credential-related source omitted] - Possible network accessline 198
[Credential-related source omitted] - Possible network accessline 199
[Credential-related source omitted] - Possible network accessline 200
[Credential-related source omitted] - Possible network accessline 201
[Credential-related source omitted] - Possible network accessline 249
[Credential-related source omitted] - Possible network accessline 259
[Credential-related source omitted] - Possible network accessline 265
[Credential-related source omitted] - Possible network accessline 269
[Credential-related source omitted] - Possible network accessline 287
[Credential-related source omitted] - Possible network accessline 303
[Credential-related source omitted] - Possible network accessline 304
[Credential-related source omitted] - Possible network accessline 305
[Credential-related source omitted] - Possible network accessline 307
[Credential-related source omitted] - Possible network accessline 308
[Credential-related source omitted] - Possible network accessline 309
[Credential-related source omitted] - Possible network accessline 311
[Credential-related source omitted] - Possible network accessline 313
[Credential-related source omitted] - Possible network accessline 321
[Credential-related source omitted] - Possible network accessline 335
[Credential-related source omitted] - Possible network accessline 351
[Credential-related source omitted] - Possible network accessline 413
[Credential-related source omitted] - Possible network accessline 439
[Credential-related source omitted] - Possible network accessline 441
[Credential-related source omitted] - Possible network accessline 443
[Credential-related source omitted] - Possible network accessline 449
[Credential-related source omitted] - Possible network accessline 465
[Credential-related source omitted] - Possible network accessline 485
[Credential-related source omitted] - Possible network accessline 487
[Credential-related source omitted] - Possible network accessline 509
[Credential-related source omitted] - Possible network accessline 517
[Credential-related source omitted] - Possible network accessline 571
[Credential-related source omitted] - Possible network accessline 573
[Credential-related source omitted] - Possible network accessline 594
[Credential-related source omitted] - Possible network accessline 600
[Credential-related source omitted] - Possible network accessline 604
[Credential-related source omitted] - Possible network accessline 605
[Credential-related source omitted] - Possible network accessline 606
[Credential-related source omitted] - Possible network accessline 612
[Credential-related source omitted] - Possible network accessline 613
[Credential-related source omitted] - Possible network accessline 614
[Credential-related source omitted] - Possible network accessline 661
[Credential-related source omitted] - Possible network accessline 662
[Credential-related source omitted] - Possible network accessline 663
[Credential-related source omitted] - Possible network accessline 665
[Credential-related source omitted] - Possible network accessline 667
[Credential-related source omitted] - Possible network accessline 683
[Credential-related source omitted] - Possible network accessline 685
[Credential-related source omitted] - Possible network accessline 717
[Credential-related source omitted] - Possible network accessline 721
[Credential-related source omitted] - Possible network accessline 735
[Credential-related source omitted] - Possible network accessline 745
[Credential-related source omitted] - Possible network accessline 749
[Credential-related source omitted] - Possible network accessline 757
[Credential-related source omitted] - Possible network accessline 758
[Credential-related source omitted] - Possible network accessline 759
[Credential-related source omitted] - Possible network accessline 760
[Credential-related source omitted] - Possible network accessline 764
[Credential-related source omitted] - Possible network accessline 770
[Credential-related source omitted] - Possible network accessline 772
[Credential-related source omitted] - Possible network accessline 782
[Credential-related source omitted] - Possible network accessline 783
[Credential-related source omitted] - Possible network accessline 784
[Credential-related source omitted] - Possible network accessline 785
[Credential-related source omitted] - Possible network accessline 807
[Credential-related source omitted] - Possible network accessline 845
[Credential-related source omitted] - Possible network accessline 875
[Credential-related source omitted] - Possible network accessline 877
[Credential-related source omitted] - Possible network accessline 879
[Credential-related source omitted] - Possible network accessline 883
[Credential-related source omitted] - Possible network accessline 885
[Credential-related source omitted] - Possible network accessline 887
[Credential-related source omitted] - Possible network accessline 889
[Credential-related source omitted] - Possible network accessline 891
[Credential-related source omitted] - Possible network accessline 893
[Credential-related source omitted] - Possible network accessline 895
[Credential-related source omitted] - Possible network accessline 897
[Credential-related source omitted] - Possible network accessline 899
[Credential-related source omitted] - Possible network accessline 901
[Credential-related source omitted]
x-bookmarks-agent-skill/README.md
x-bookmarks-agent-skill/SKILL.md
- Possible access to secretsline 31
[Credential-related source omitted]
x-bookmarks-agent-skill/scripts/setup.sh
- Executable scriptline 1
[Credential-related source omitted] - Possible access to secretsline 15
[Credential-related source omitted] - Possible access to secretsline 16
[Credential-related source omitted] - Possible access to secretsline 17
[Credential-related source omitted] - Possible access to secretsline 28
[Credential-related source omitted] - Possible access to secretsline 30
[Credential-related source omitted] - Possible access to secretsline 34
[Credential-related source omitted]
x-bookmarks-agent-skill/scripts/x-bookmarks
- Executable scriptline 1
[Credential-related source omitted] - Possible access to secretsline 8
[Credential-related source omitted] - Possible access to secretsline 10
[Credential-related source omitted] - Possible access to secretsline 15
[Credential-related source omitted] - Possible access to secretsline 43
[Credential-related source omitted]
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code may do, not why.
Some files could not be read; the facts below still hold.
Combined signals: 5 facts
- May pass content downloaded from browser-use.com to an interpreterbrowser-use/SKILL.md:28High confidence
- May pass content downloaded from browser-use.com to an interpreterbrowser-use/SKILL.md:35High confidence
- May pass content downloaded from browser-use.com to an interpreterbrowser-use/SKILL.md:36High confidence
- May pass content downloaded from browser-use.com to an interpreterbrowser-use/SKILL.md:37High confidence
- May pass content downloaded from browser-use.com to an interpreterbrowser-use/SKILL.md:50High confidence
Signal confidence: 495 facts
- Possible network access in prose of the SKILL.mdab-test-setup/SKILL.md:89Low confidence
- Possible network access in prose of the SKILL.mdab-test-setup/SKILL.md:90Low confidence
- Possible network access in prose of the SKILL.mdab-test-setup/SKILL.md:91Low confidence
- Possible network access in prose of documentationab-test-setup/references/sample-size-guide.md:132Low confidence
- Possible network access in prose of documentationab-test-setup/references/sample-size-guide.md:133Low confidence
- Possible network access in prose of documentationab-test-setup/references/sample-size-guide.md:137Low confidence
- Possible network access in prose of documentationab-test-setup/references/sample-size-guide.md:138Low confidence
- Possible network access in prose of documentationab-test-setup/references/sample-size-guide.md:142Low confidence
- Possible network access in prose of documentationab-test-setup/references/sample-size-guide.md:143Low confidence
- Possible network access in prose of documentationab-test-setup/references/sample-size-guide.md:147Low confidence
- Possible network access in prose of documentationab-test-setup/references/sample-size-guide.md:148Low confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:19High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:73High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:86High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:87High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:95High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:97High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:103High confidence
- Possible access to secrets in code of the SKILL.mdagent-browser/SKILL.md:103High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:104High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:108High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:109High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:111High confidence
- Possible access to secrets in code of the SKILL.mdagent-browser/SKILL.md:112High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:113High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:125High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:138High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:139High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:150High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:151High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:161High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:181High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:182High confidence
- Possibly dangerous shell command in code of the SKILL.mdagent-browser/SKILL.md:233High confidence
- Possibly dangerous shell command in code of the SKILL.mdagent-browser/SKILL.md:234High confidence
- Possibly dangerous shell command in prose of the SKILL.mdagent-browser/SKILL.md:252Low confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:276High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:277High confidence
- Possible network access in code of the SKILL.mdagent-browser/SKILL.md:278High confidence
- Possible network access in code of documentationagent-browser/references/authentication.md:22Low confidence
- Possible network access in code of documentationagent-browser/references/authentication.md:23Low confidence
- Possible network access in code of documentationagent-browser/references/authentication.md:47Low confidence
- Possible network access in code of documentationagent-browser/references/authentication.md:48Low confidence
- Possible network access in code of documentationagent-browser/references/authentication.md:67Low confidence
- Possible network access in code of documentationagent-browser/references/authentication.md:68Low confidence
- Possible network access in code of documentationagent-browser/references/authentication.md:79Low confidence
- Possible network access in code of documentationagent-browser/references/authentication.md:80Low confidence
- Possible network access in code of documentationagent-browser/references/authentication.md:104Low confidence
- Possible network access in code of documentationagent-browser/references/authentication.md:105Low confidence
- Possible network access in code of documentationagent-browser/references/authentication.md:127Low confidence
and 445 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 | Compatible | Standard SKILL.md ab-test-setup/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md ab-test-setup/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md ab-test-setup/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md ab-test-setup/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md ab-test-setup/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.