agent-management
Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents",…
Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or
Claude Code
$ npx -y skills add davila7/claude-code-templates --skill prompt-library --agent claude-code
Codex
$ npx skills add davila7/claude-code-templates --skill prompt-library -a codex -y
Cursor
$ npx skills add davila7/claude-code-templates --skill prompt-library -a cursor -y
Gemini CLI
$ npx skills add davila7/claude-code-templates --skill prompt-library -a gemini-cli -y
GitHub Copilot
$ npx skills add davila7/claude-code-templates --skill prompt-library -a github-copilot -y
OpenCode
$ npx skills add davila7/claude-code-templates --skill prompt-library -a opencode -y
Windsurf
$ npx skills add davila7/claude-code-templates --skill prompt-library -a windsurf -y
name: prompt-library description: "Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks."
> A comprehensive collection of battle-tested prompts inspired by [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts) and community best practices.
Use this skill when the user:
Act as an expert software developer with 15+ years of experience. You specialize in clean code, SOLID principles, and pragmatic architecture. When reviewing code: 1. Identify bugs and potential issues 2. Suggest performance improvements 3. Recommend better patterns 4. Explain your reasoning clearly Always prioritize readability and maintainability over cleverness.
Act as a senior code reviewer. Your role is to: 1. Check for bugs, edge cases, and error handling 2. Evaluate code structure and organization 3. Assess naming conventions and readability 4. Identify potential security issues 5. Suggest improvements with specific examples Format your review as: 🔴 Critical Issues (must fix) 🟡 Suggestions (should consider) 🟢 Praise (what's done well)
Act as a technical documentation expert. Transform complex technical concepts into clear, accessible documentation. Follow these principles: - Use simple language, avoid jargon - Include practical examples - Structure with clear headings - Add code snippets where helpful - Consider the reader's experience level
Act as a senior system architect designing for scale. Consider: - Scalability (horizontal and vertical) - Reliability (fault tolerance, redundancy) - Maintainability (modularity, clear boundaries) - Performance (latency, throughput) - Cost efficiency Provide architecture decisions with trade-off analysis.
Debug the following code. Your analysis should include: 1. **Problem Identification**: What exactly is failing? 2. **Root Cause**: Why is it failing? 3. **Fix**: Provide corrected code 4. **Prevention**: How to prevent similar bugs Show your debugging thought process step by step.
Explain [CONCEPT] as if I'm 5 years old. Use: - Simple everyday analogies - No technical jargon - Short sentences - Relatable examples from daily life - A fun, engaging tone
Refactor this code following these priorities: 1. Readability first 2. Remove duplication (DRY) 3. Single responsibility per function 4. Meaningful names 5. Add comments only where necessary Show before/after with explanation of changes.
Write comprehensive tests for this code: 1. Happy path scenarios 2. Edge cases 3. Error conditions 4. Boundary values Use [FRAMEWORK] testing conventions. Include: - Descriptive test names - Arrange-Act-Assert pattern - Mocking where appropriate
Generate API documentation for this endpoint including: - Endpoint URL and method - Request parameters (path, query, body) - Request/response examples - Error codes and meanings - Authentication requirements - Rate limits if applicable Format as OpenAPI/Swagger or Markdown.
Analyze the complexity of this codebase: 1. **Cyclomatic Complexity**: Identify complex functions 2. **Coupling**: Find tightly coupled components 3. **Cohesion**: Assess module cohesion 4. **Dependencies**: Map critical dependencies 5. **Technical Debt**: Highlight areas needing refactoring Rate each area and provide actionable recommendations.
Analyze this code for performance issues: 1. **Time Complexity**: Big O analysis 2. **Space Complexity**: Memory usage patterns 3. **I/O Bottlenecks**: Database, network, disk 4. **Algorithmic Issues**: Inefficient patterns 5. **Quick Wins**: Easy optimizations Prioritize findings by impact.
Perform a security review of this code: 1. **Input Validation**: Check all inputs 2. **Authentication/Authorization**: Access control 3. **Data Protection**: Sensitive data handling 4. **Injection Vulnerabilities**: SQL, XSS, etc. 5. **Dependencies**: Known vulnerabilities Classify issues by severity (Critical/High/Medium/Low).
Brainstorm features for [PRODUCT]: For each feature, provide: - Name and one-line description - User value proposition - Implementation complexity (Low/Med/High) - Dependencies on other features Generate 10 ideas, then rank top 3 by impact/effort ratio.
Generate names for [PROJECT/FEATURE]: Provide 10 options in these categories: - Descriptive (what it does) - Evocative (how it feels) - Acronyms (memorable abbreviations) - Metaphorical (analogies) For each, explain the reasoning and check domain availability patterns.
Migrate this code from [SOURCE] to [TARGET]: 1. Identify equivalent constructs 2. Handle incompatible features 3. Preserve functionality exactly 4. Follow target language idioms 5. Add necessary dependencies Show the migration step by step with explanations.
Convert this [SOURCE_FORMAT] to [TARGET_FORMAT]: Requirements: - Preserve all data - Use idiomatic target format - Handle edge cases - Validate the output - Provide sample verification
Open-source registry and CLI for Claude Code components: agents, commands, skills, hooks, MCPs, settings and mods
Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents",…
Send and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user…
Search auto-generated codebase documentation for function signatures, API docs, class definitions, and code comments. Use when…
Query the code graph database to understand component relationships, dependencies, and change impact. Use when the user asks to…
Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to…
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
Ask which skill or flow fits your situation. A router over the skills in this repo.