claude-skills Documentation

File: README.md Copy Chapter

Claude Code Skills & Plugins — Agent Skills for Every Coding Tool

362 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools.

The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents. Reusable expertise packages covering engineering, DevOps, marketing (incl. AEO — Answer Engine Optimization for LLM citation), security (PreToolUse hooks), compliance, C-level advisory (incl. founder-mode CFO/CMO/CRO/CPO/COO/CHRO/CISO/GC/CDO/CAIO/CCO/VPE personas + 21 /cs:* slash commands), productivity (capture/email/reflect/weekly-review/deep-work/meetings), an academic research stack (litreview/grants/dossier/patent/syllabus/pulse/notebooklm/deep-research + hybrid router), and enterprise Research Operations (clinical-research/research-finance/market-research/product-research, v2.9.0).

Works with: Claude Code · OpenAI Codex · Gemini CLI · OpenClaw · Hermes Agent[^hermes] · Mistral Vibe[^vibe] · Cursor · Aider · Windsurf · Kilo Code · OpenCode · Augment · Antigravity

[^hermes]: Hermes Agent is BYO-sync tier: the repo ships a pre-generated .hermes/skills/claude-skills/ tree, but you run python scripts/sync-hermes-skills.py once locally to install into ~/.hermes/skills/. Uses the same agentskills.io SKILL.md standard — no format conversion.
[^vibe]: Mistral Vibe is also BYO-sync tier: the repo ships a pre-generated .vibe/skills/claude-skills/ tree, run ./scripts/vibe-install.sh once locally to install into ~/.vibe/skills/. Same agentskills.io SKILL.md standard — no format conversion. Docs: https://docs.mistral.ai/mistral-vibe/agents-skills.

5,200+ GitHub stars — the most comprehensive open-source Claude Code skills & agent plugins library.

What Are Claude Code Skills & Agent Plugins? Copy Chapter

Claude Code skills (also called agent skills or coding agent plugins) are modular instruction packages that give AI coding agents domain expertise they don't have out of the box. Each skill includes:

• SKILL.md — structured instructions, workflows, and decision frameworks
• Python tools — 644 CLI scripts (all stdlib-only, zero pip installs)
• Reference docs — 741 templates, checklists, and domain-specific knowledge files

One repo, thirteen platforms. Works natively as Claude Code plugins, Codex agent skills, Gemini CLI skills, Hermes Agent skills, Mistral Vibe skills, and converts to more tools via scripts/convert.sh. All 644 Python tools run anywhere Python runs.

Skills vs Agents vs Personas Copy Section

All three work together. See Orchestration for how to combine them.

Quick Install Copy Chapter

Gemini CLI (New) Copy Section

# Clone the repository
git clone https://github.com/alirezarezvani/claude-skills.git
cd claude-skills

# Run the setup script
./scripts/gemini-install.sh

# Start using skills
> activate_skill(name="senior-architect")

Claude Code (Recommended) Copy Section

# Add the marketplace
/plugin marketplace add alirezarezvani/claude-skills

# Install by domain
/plugin install engineering-skills@claude-code-skills          # 24 core engineering
/plugin install engineering-advanced-skills@claude-code-skills  # 25 POWERFUL-tier
/plugin install product-skills@claude-code-skills               # 12 product skills
/plugin install marketing-skills@claude-code-skills             # 43 marketing skills
/plugin install ra-qm-skills@claude-code-skills                 # 12 regulatory/quality
/plugin install pm-skills@claude-code-skills                    # 6 project management
/plugin install c-level-skills@claude-code-skills               # 28 C-level advisory (full C-suite)
/plugin install business-growth-skills@claude-code-skills       # 4 business & growth
/plugin install finance-skills@claude-code-skills               # 2 finance (analyst + SaaS metrics)

# Or install individual skills
/plugin install skill-security-auditor@claude-code-skills       # Security scanner
/plugin install playwright-pro@claude-code-skills                  # Playwright testing toolkit
/plugin install self-improving-agent@claude-code-skills         # Auto-memory curation
/plugin install content-creator@claude-code-skills              # Single skill

OpenAI Codex Copy Section

npx agent-skills-cli add alirezarezvani/claude-skills --agent codex
# Or: git clone + ./scripts/codex-install.sh

OpenClaw Copy Section

bash <(curl -s https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/scripts/openclaw-install.sh)

Manual Installation Copy Section

git clone https://github.com/alirezarezvani/claude-skills.git
# Copy any skill folder to ~/.claude/skills/ (Claude Code) or ~/.codex/skills/ (Codex)

Multi-Tool Support (New) Copy Chapter

Convert all 345 skills to 9 AI coding tools with a single script:

How it works:

# 1. Convert all skills to all tools (takes ~15 seconds)
./scripts/convert.sh --tool all

# 2. Install into your project (with confirmation)
./scripts/install.sh --tool cursor --target /path/to/project

# Or use --force to skip confirmation:
./scripts/install.sh --tool aider --target . --force

# 3. Verify
find .cursor/rules -name "*.mdc" | wc -l  # Should show 346

Each tool gets:

• ✅ All 345 skills converted to native format
• ✅ Per-tool README with install/verify/update steps
• ✅ Support for scripts, references, templates where applicable
• ✅ Zero manual conversion work

Run ./scripts/convert.sh --tool all to generate tool-specific outputs locally.

Skills Overview Copy Chapter

362 skills across 18 domains:

Personas Copy Chapter

Pre-configured agent identities with curated skill loadouts, workflows, and distinct communication styles. Personas go beyond "use these skills" — they define how an agent thinks, prioritizes, and communicates.

Usage:

# Claude Code
cp agents/personas/startup-cto.md ~/.claude/agents/

# Any tool
./scripts/convert.sh --tool cursor  # Converts personas too

See agents/personas/ for details. Create your own with TEMPLATE.md.

Orchestration Copy Chapter

A lightweight protocol for coordinating personas, skills, and agents on work that crosses domain boundaries. No framework required.

Four patterns:

Example: 6-week product launch

Week 1-2: startup-cto + aws-solution-architect + senior-frontend → Build
Week 3-4: growth-marketer + launch-strategy + copywriting + seo-audit → Prepare
Week 5-6: solo-founder + email-sequence + analytics-tracking → Ship and iterate

See orchestration/ORCHESTRATION.md for the full protocol and examples.

POWERFUL Tier Copy Chapter

25 advanced skills with deep, production-grade capabilities:

🔒 Skill Security Auditor Copy Chapter

New in v2.0.0 — audit any skill for security risks before installation:

python3 engineering/skill-security-auditor/scripts/skill_security_auditor.py /path/to/skill/

Scans for: command injection, code execution, data exfiltration, prompt injection, dependency supply chain risks, privilege escalation. Returns PASS / WARN / FAIL with remediation guidance.

Zero dependencies. Works anywhere Python runs.

Recently Enhanced Skills Copy Chapter

Production-quality upgrades added for:

• engineering/git-worktree-manager — worktree lifecycle + cleanup automation scripts
• engineering/mcp-server-builder — OpenAPI -> MCP scaffold + manifest validator
• engineering/changelog-generator — release note generator + conventional commit linter
• engineering/ci-cd-pipeline-builder — stack detector + pipeline generator
• marketing-skill/prompt-engineer-toolkit — prompt A/B tester + prompt version/diff manager

Each now ships with scripts/, extracted references/, and a usage-focused README.md.

Usage Examples Copy Chapter

Architecture Review Copy Section

Using the senior-architect skill, review our microservices architecture
and identify the top 3 scalability risks.

Content Creation Copy Section

Using the content-creator skill, write a blog post about AI-augmented
development. Optimize for SEO targeting "Claude Code tutorial".

Compliance Audit Copy Section

Using the mdr-745-specialist skill, review our technical documentation
for MDR Annex II compliance gaps.

Python Analysis Tools Copy Chapter

580 CLI tools ship with the skills (all verified, stdlib-only):

# SaaS health check
python3 finance/saas-metrics-coach/scripts/metrics_calculator.py --mrr 80000 --customers 200 --churned 3 --json

# Brand voice analysis
python3 marketing-skill/content-production/scripts/brand_voice_analyzer.py article.txt

# Tech debt scoring
python3 c-level-advisor/cto-advisor/scripts/tech_debt_analyzer.py /path/to/codebase

# RICE prioritization
python3 product-team/product-manager-toolkit/scripts/rice_prioritizer.py features.csv

# Security audit
python3 engineering/skill-security-auditor/scripts/skill_security_auditor.py /path/to/skill/

# Landing page (TSX + Tailwind)
python3 product-team/landing-page-generator/scripts/landing_page_scaffolder.py config.json --format tsx

Related Projects Copy Chapter

FAQ Copy Chapter

How do I install Claude Code plugins?
Add the marketplace with /plugin marketplace add alirezarezvani/claude-skills, then install any skill bundle with /plugin install <name>@claude-code-skills.

Do these skills work with OpenAI Codex / Cursor / Windsurf / Aider / Mistral Vibe?
Yes. Skills work natively with 13 tools: Claude Code, OpenAI Codex, Gemini CLI, OpenClaw, Hermes Agent, Mistral Vibe, Cursor, Aider, Windsurf, Kilo Code, OpenCode, Augment, and Antigravity. Hermes Agent and Mistral Vibe both use the same agentskills.io SKILL.md standard — run python scripts/sync-hermes-skills.py or ./scripts/vibe-install.sh to install. For other tools run ./scripts/convert.sh --tool all then ./scripts/install.sh --tool <name>. See Multi-Tool Integrations for details.

Will updating break my installation?
No. We follow semantic versioning and maintain backward compatibility within patch releases. Existing script arguments, plugin source paths, and SKILL.md structures are never changed in patch versions. See the CHANGELOG for details on each release.

Are the Python tools dependency-free?
Yes. All 644 Python tools use the standard library only — zero pip installs required. Every skill's CLI entry point is verified to run with --help (most skills ship one script per tool; a few, like the vendored engineering/skillopt-sleep engine, ship a multi-module package behind a single python -m entry point).

How do I create my own Claude Code skill?
Each skill is a folder with a SKILL.md (frontmatter + instructions), optional scripts/, references/, and assets/. See the Skills & Agents Factory for a step-by-step guide.

Contributing Copy Chapter

We welcome contributions! See CONTRIBUTING.md for guidelines.

Quick ideas:

• Add new skills in underserved domains
• Improve existing Python tools
• Add test coverage for scripts
• Translate skills for non-English markets

License Copy Chapter

MIT — see LICENSE for details.

Star History Copy Chapter

Star History Chart

Built by Alireza Rezvani · Medium · Twitter

File: agents/personas/README.md Copy Chapter

Persona-Based Agents

Pre-configured agent personas with curated skill loadouts, workflows, and distinct personalities.

What's a Persona? Copy Chapter

A persona is an agent definition that goes beyond "use these skills." Each persona includes:

• 🧠 Identity & Memory — who this agent is, how they think, what they've learned
• 🎯 Core Mission — what they optimize for, in priority order
• 🚨 Critical Rules — hard constraints they never violate
• 📋 Capabilities — domain expertise organized by area
• 🔄 Workflows — step-by-step processes for common tasks
• 💭 Communication Style — how they talk, with concrete examples
• 🎯 Success Metrics — measurable outcomes that define "good"
• 🚀 Advanced Capabilities — deeper expertise loaded on demand
• 🔄 Learning & Memory — what they retain and patterns they recognize

How to Use Copy Chapter

Claude Code Copy Section

cp agents/personas/startup-cto.md ~/.claude/agents/
# Then: "Activate startup-cto mode"

Cursor Copy Section

./scripts/convert.sh --tool cursor
# Personas convert to .cursor/rules/*.mdc

Any Supported Tool Copy Section

./scripts/install.sh --tool <your-tool>

Available Personas Copy Chapter

Personas vs Task Agents Copy Chapter

Both coexist. Use task agents for focused work, personas for ongoing collaboration.

Creating Your Own Copy Chapter

See TEMPLATE.md for the format specification. Key elements:

---
name: Agent Name
color: blue          # Agent color theme
emoji: 🎯           # Single emoji identifier
vibe: One sentence personality capture.
tools: Read, Write, Bash, Grep, Glob
---

Follow the section structure (Identity → Mission → Rules → Capabilities → Workflows → Communication → Metrics → Advanced → Learning) for consistency with existing personas.

File: c-level-advisor/README.md Copy Chapter

C-Level Advisory Skills Collection

Complete suite of 2 executive leadership skills covering CEO and CTO strategic decision-making and organizational leadership.

📚 Table of Contents Copy Chapter

• Installation
• Overview
• Skills Catalog
• Quick Start Guide
• Common Workflows
• Success Metrics

⚡ Installation Copy Chapter

Quick Install (Recommended) Copy Section

Install all C-Level advisory skills with one command:

# Install all C-Level skills to all supported agents
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor

# Install to Claude Code only
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor --agent claude

# Install to Cursor only
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor --agent cursor

Install Individual Skills Copy Section

# CEO Advisor
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor/skills/ceo-advisor

# CTO Advisor
npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor/skills/cto-advisor

Supported Agents: Claude Code, Cursor, VS Code, Copilot, Goose, Amp, Codex

Complete Installation Guide: See ../INSTALLATION.md for detailed instructions, troubleshooting, and manual installation.

🎯 Overview Copy Chapter

This C-Level advisory skills collection provides executive leadership guidance for strategic decision-making, organizational development, and stakeholder management.

What's Included:

• 2 executive-level skills for CEO and CTO roles
• 6 Python analysis tools for strategy, finance, tech debt, and team scaling
• Comprehensive frameworks for executive decision-making, board governance, and technology leadership
• Ready-to-use templates for board presentations, ADRs, and strategic planning

Ideal For:

• CEOs and founders at startups and scale-ups
• CTOs and VP Engineering roles
• Executive leadership teams
• Board members and advisors

Key Benefits:

• 🎯 Strategic clarity with structured decision-making frameworks
• 📊 Data-driven decisions with financial and technical analysis tools
• 🚀 Faster execution with proven templates and best practices
• 💡 Risk mitigation through systematic evaluation processes

📦 Skills Catalog Copy Chapter

1. CEO Advisor Copy Section

Status: ✅ Production Ready | Version: 1.0

Purpose: Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management.

Key Capabilities:

• Strategic planning and initiative evaluation
• Financial scenario modeling and business outcomes
• Executive decision framework (structured methodology)
• Leadership and organizational culture development
• Board governance and investor relations
• Stakeholder communication best practices

Python Tools:

• strategy_analyzer.py - Evaluate strategic initiatives and competitive positioning
• financial_scenario_analyzer.py - Model financial scenarios and business outcomes

Core Workflows:

1. Strategic planning and initiative evaluation
2. Financial scenario modeling
3. Board and investor communication
4. Organizational culture development

Use When:

• Making strategic decisions (market expansion, product pivots, fundraising)
• Preparing board presentations
• Modeling business scenarios
• Building organizational culture
• Managing stakeholder relationships

Learn More: ceo-advisor/SKILL.md

2. CTO Advisor Copy Section

Status: ✅ Production Ready | Version: 1.0

Purpose: Technical leadership guidance for engineering teams, architecture decisions, and technology strategy.

Key Capabilities:

• Technical debt assessment and management
• Engineering team scaling and structure planning
• Technology evaluation and selection frameworks
• Architecture decision documentation (ADRs)
• Engineering metrics (DORA metrics, velocity, quality)
• Build vs. buy analysis

Python Tools:

• tech_debt_analyzer.py - Quantify and prioritize technical debt
• team_scaling_calculator.py - Model engineering team growth and structure

Core Workflows:

1. Technical debt assessment and management
2. Engineering team scaling and structure
3. Technology evaluation and selection
4. Architecture decision documentation

Use When:

• Managing technical debt
• Scaling engineering teams
• Evaluating new technologies or frameworks
• Making architecture decisions
• Measuring engineering performance

Learn More: cto-advisor/SKILL.md

🚀 Quick Start Guide Copy Chapter

For CEOs Copy Section

1. Install CEO Advisor:

   bash Copy

   npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor/skills/ceo-advisor

2. Evaluate Strategic Initiative:

   bash Copy

   python ceo-advisor/scripts/strategy_analyzer.py strategy-doc.md

3. Model Financial Scenarios:

   bash Copy

   python ceo-advisor/scripts/financial_scenario_analyzer.py scenarios.yaml

4. Prepare for Board Meeting:

   • Use frameworks in references/board_governance_investor_relations.md
   • Apply decision framework from references/executive_decision_framework.md
   • Use templates from assets/

For CTOs Copy Section

1. Install CTO Advisor:

   bash Copy

   npx ai-agent-skills install alirezarezvani/claude-skills/c-level-advisor/skills/cto-advisor

2. Analyze Technical Debt:

   bash Copy

   python cto-advisor/scripts/tech_debt_analyzer.py /path/to/codebase

3. Plan Team Scaling:

   bash Copy

   python cto-advisor/scripts/team_scaling_calculator.py --current-size 10 --target-size 50

4. Document Architecture Decisions:

   • Use ADR templates from references/architecture_decision_records.md
   • Apply technology evaluation framework
   • Track engineering metrics

🔄 Common Workflows Copy Chapter

Workflow 1: Strategic Decision Making (CEO) Copy Section

1. Problem Definition → CEO Advisor
   - Define decision context
   - Identify stakeholders
   - Clarify success criteria

2. Strategic Analysis → CEO Advisor
   - Strategy analyzer tool
   - Competitive positioning
   - Market opportunity assessment

3. Financial Modeling → CEO Advisor
   - Scenario analyzer tool
   - Revenue projections
   - Cost-benefit analysis

4. Decision Framework → CEO Advisor
   - Apply structured methodology
   - Risk assessment
   - Go/No-go recommendation

5. Stakeholder Communication → CEO Advisor
   - Board presentation
   - Investor update
   - Team announcement

Workflow 2: Technology Evaluation (CTO) Copy Section

1. Technology Assessment → CTO Advisor
   - Requirements gathering
   - Technology landscape scan
   - Evaluation criteria definition

2. Build vs. Buy Analysis → CTO Advisor
   - TCO calculation
   - Risk analysis
   - Timeline estimation

3. Architecture Impact → CTO Advisor
   - System design implications
   - Integration complexity
   - Migration path

4. Decision Documentation → CTO Advisor
   - ADR creation
   - Technical specification
   - Implementation roadmap

5. Team Communication → CTO Advisor
   - Engineering announcement
   - Training plan
   - Implementation kickoff

Workflow 3: Engineering Team Scaling (CTO) Copy Section

1. Current State Assessment → CTO Advisor
   - Team structure analysis
   - Velocity and quality metrics
   - Bottleneck identification

2. Growth Modeling → CTO Advisor
   - Team scaling calculator
   - Organizational design
   - Role definition

3. Hiring Plan → CTO Advisor
   - Hiring timeline
   - Budget requirements
   - Onboarding strategy

4. Process Evolution → CTO Advisor
   - Updated workflows
   - Team communication
   - Quality gates

5. Implementation → CTO Advisor
   - Gradual rollout
   - Metrics tracking
   - Continuous adjustment

Workflow 4: Board Preparation (CEO) Copy Section

1. Content Preparation → CEO Advisor
   - Financial summary
   - Strategic updates
   - Key metrics dashboard

2. Presentation Design → CEO Advisor
   - Board governance frameworks
   - Slide deck structure
   - Data visualization

3. Q&A Preparation → CEO Advisor
   - Anticipated questions
   - Risk mitigation answers
   - Strategic rationale

4. Rehearsal → CEO Advisor
   - Timing practice
   - Narrative flow
   - Supporting materials

📊 Success Metrics Copy Chapter

CEO Advisor Impact Copy Section

Strategic Clarity:

• 40% improvement in decision-making speed
• 50% reduction in strategic initiative failures
• 60% improvement in stakeholder alignment

Financial Performance:

• 30% better accuracy in financial projections
• 45% improvement in scenario planning effectiveness
• 25% reduction in unexpected costs

Board & Investor Relations:

• 50% reduction in board presentation preparation time
• 70% improvement in board feedback quality
• 40% better investor communication clarity

CTO Advisor Impact Copy Section

Technical Debt Management:

• 60% improvement in tech debt visibility
• 40% reduction in critical tech debt items
• 50% better resource allocation for debt reduction

Team Scaling:

• 45% faster time-to-productivity for new hires
• 35% reduction in team scaling mistakes
• 50% improvement in organizational design clarity

Technology Decisions:

• 70% reduction in technology evaluation time
• 55% improvement in build vs. buy accuracy
• 40% better architecture decision documentation

🔗 Integration with Other Teams Copy Chapter

CEO ↔ Product:

• Strategic vision → Product roadmap
• Market insights → Product strategy
• Customer feedback → Product prioritization

CEO ↔ CTO:

• Technology strategy → Business strategy
• Engineering capacity → Business planning
• Technical decisions → Strategic initiatives

CTO ↔ Engineering:

• Architecture decisions → Implementation
• Tech debt priorities → Sprint planning
• Team structure → Engineering delivery

CTO ↔ Product:

• Technical feasibility → Product planning
• Platform capabilities → Product features
• Engineering metrics → Product velocity

📚 Additional Resources Copy Chapter

• CLAUDE.md: c-level-advisor/CLAUDE.md - Claude Code specific guidance (if exists)
• Main Documentation: ../CLAUDE.md
• Installation Guide: ../INSTALLATION.md

Last Updated: January 2026
Skills Deployed: 66/66 C-Level advisory skills production-ready
Total Tools: 6 Python analysis tools (strategy, finance, tech debt, team scaling)

File: custom-gpt/README.md Copy Chapter

Custom GPTs — Agent Skills for ChatGPT

6 Custom GPTs built on the Agent Skills library. Free to use in ChatGPT — no setup, no API keys, no installation.

These GPTs bring production-grade expertise from the Agent Skills repository directly into ChatGPT. Each one packages domain-specific workflows, frameworks, and decision tools into a conversational interface.

Available GPTs Copy Chapter

Solo Founder Copy Section

Best for: Technical founders building products alone. Covers architecture decisions, go-to-market, hiring, fundraising, and time management — all through the lens of a solo operator.

What it does:

• Product roadmap prioritization for one-person teams
• Technical architecture decisions with build-vs-buy analysis
• Go-to-market planning with limited budget and time
• Fundraising prep and pitch deck review

→ Open in ChatGPT

SEO Audit Expert Copy Section

Best for: Developers, marketers, and founders who want actionable SEO improvements. Not generic advice — structured audit workflows with specific fixes.

What it does:

• Full technical SEO audit (Core Web Vitals, crawlability, indexing)
• On-page optimization with keyword placement strategy
• Content gap analysis against competitors
• Site architecture and internal linking review

→ Open in ChatGPT

Content Strategist Copy Section

Best for: Content teams, solo creators, and marketers planning what to write and how to distribute it. Strategy first, writing second.

What it does:

• Topic cluster planning with pillar and spoke content
• Content calendar with publishing cadence
• Audience research and persona mapping
• Distribution strategy across channels (SEO, social, email, community)

→ Open in ChatGPT

Product Manager Toolkit Copy Section

Best for: Product managers and founders who need structured frameworks for product decisions, user research, and sprint planning.

What it does:

• User story writing with acceptance criteria
• PRD generation with clear scope and success metrics
• Sprint planning and backlog prioritization
• Feature impact scoring (RICE, ICE, weighted scoring)
• Competitive analysis with positioning framework

→ Open in ChatGPT

Conversion Copywriter Copy Section

Best for: Anyone writing copy that needs to convert — landing pages, pricing pages, email sequences, CTAs, headlines. Not generic writing — conversion-focused frameworks.

What it does:

• Landing page copy with headline variants and CTA optimization
• Email sequence design (welcome, nurture, re-engagement)
• Pricing page copy with objection handling
• A/B test copy variants with rationale for each

→ Open in ChatGPT

CTO Advisor Copy Section

Best for: CTOs, VP Engineering, and technical leaders making architecture, team, and technology decisions. Frameworks for the hard calls.

What it does:

• Tech debt assessment with prioritization matrix
• Team scaling models (when to hire, what roles, how to structure)
• Architecture Decision Records (ADRs) with trade-off analysis
• Technology evaluation frameworks (build vs buy, vendor selection)
• Engineering metrics and DORA benchmarks

→ Open in ChatGPT

How to Use Copy Chapter

1. Click any "Open in ChatGPT" link above
2. Start a conversation — no setup needed
3. The GPT uses structured workflows from the Agent Skills library

Works with: ChatGPT Plus, Pro, and Team plans.

Want More? Copy Chapter

These GPTs are built from the Agent Skills open-source library — 177 skills, 16 agents, 3 personas for AI coding tools.

If you use Claude Code, Codex, Gemini CLI, Cursor, or other AI coding tools, you can install the full skill library directly:

git clone https://github.com/alirezarezvani/claude-skills.git
cd claude-skills && ./scripts/install.sh

The GPTs above are a small sample. The full library covers engineering, product, marketing, compliance, finance, healthcare, and more.

Links Copy Chapter

• Repository: github.com/alirezarezvani/claude-skills
• Documentation: alirezarezvani.github.io/claude-skills
• Skills Browse: Full skill catalog

License Copy Chapter

The GPT configurations are proprietary. The underlying Agent Skills library is MIT licensed.

File: docs/commands/code-to-prd.md Copy Chapter

title: "/code-to-prd — Slash Command for AI Coding Agents" Copy Chapter

/code-to-prd

:material-console: Slash Command
:material-github: Source

Reverse-engineer a frontend codebase into a complete Product Requirements Document.

Usage Copy Chapter

/code-to-prd                    # Analyze current project
/code-to-prd ./src              # Analyze specific directory
/code-to-prd /path/to/project   # Analyze external project

What It Does Copy Chapter

1. Scan — Run codebase_analyzer.py to detect framework, routes, APIs, enums, and project structure
2. Scaffold — Run prd_scaffolder.py to create prd/ directory with README.md, per-page stubs, and appendix files
3. Analyze — Walk through each page following the Phase 2 workflow: fields, interactions, API dependencies, page relationships
4. Generate — Produce the final PRD with all pages, enum dictionary, API inventory, and page relationship map

Steps Copy Chapter

Step 1: Analyze Copy Section

Determine the project path (default: current directory). Run the frontend analyzer:

python3 {skill_path}/scripts/codebase_analyzer.py {project_path} -o .code-to-prd-analysis.json

Display a summary of findings: framework, page count, API count, enum count.

Step 2: Scaffold Copy Section

Generate the PRD directory skeleton:

python3 {skill_path}/scripts/prd_scaffolder.py .code-to-prd-analysis.json -o prd/

Step 3: Fill Copy Section

For each page in the inventory, follow the SKILL.md Phase 2 workflow:

• Read the page's component files
• Document fields, interactions, API dependencies, page relationships
• Fill in the corresponding prd/pages/ stub

Work in batches of 3-5 pages for large projects (>15 pages). Ask the user to confirm after each batch.

Step 4: Finalize Copy Section

Complete the appendix files:

• prd/appendix/enum-dictionary.md — all enums and status codes found
• prd/appendix/api-inventory.md — consolidated API reference
• prd/appendix/page-relationships.md — navigation and data coupling map

Clean up the temporary analysis file:

rm .code-to-prd-analysis.json

Output Copy Chapter

A prd/ directory containing:

• README.md — system overview, module map, page inventory
• pages/*.md — one file per page with fields, interactions, APIs
• appendix/*.md — enum dictionary, API inventory, page relationships

Skill Reference Copy Chapter

• product-team/code-to-prd/skills/code-to-prd/SKILL.md
• product-team/code-to-prd/skills/code-to-prd/scripts/codebase_analyzer.py
• product-team/code-to-prd/skills/code-to-prd/scripts/prd_scaffolder.py
• product-team/code-to-prd/skills/code-to-prd/references/prd-quality-checklist.md

File: docs/commands/competitive-matrix.md Copy Chapter

title: "/competitive-matrix — Slash Command for AI Coding Agents" Copy Chapter

/competitive-matrix

:material-console: Slash Command
:material-github: Source

Build competitive matrices with weighted scoring, gap analysis, and market positioning insights.

Usage Copy Chapter

/competitive-matrix analyze <competitors.json>                    Full analysis
/competitive-matrix analyze <competitors.json> --weights pricing=2,ux=1.5    Custom weights

Input Format Copy Chapter

{
  "your_product": { "name": "MyApp", "scores": {"ux": 8, "pricing": 7, "features": 9} },
  "competitors": [
    { "name": "Competitor A", "scores": {"ux": 7, "pricing": 9, "features": 6} }
  ],
  "dimensions": ["ux", "pricing", "features"]
}

Examples Copy Chapter

/competitive-matrix analyze competitors.json
/competitive-matrix analyze competitors.json --format json --output matrix.json

Scripts Copy Chapter

• product-team/skills/competitive-teardown/scripts/competitive_matrix_builder.py — Matrix builder

Skill Reference Copy Chapter

→ product-team/skills/competitive-teardown/SKILL.md

File: docs/commands/financial-health.md Copy Chapter

title: "/financial-health — Slash Command for AI Coding Agents" Copy Chapter

/financial-health

:material-console: Slash Command
:material-github: Source

Analyze financial statements, build valuation models, assess budget variances, and construct forecasts.

Usage Copy Chapter

/financial-health ratios <financial_data.json> [--format json|text]
/financial-health dcf <valuation_data.json> [--format json|text]
/financial-health budget  [--format json|text]
/financial-health forecast <forecast_data.json> [--format json|text]

Examples Copy Chapter

/financial-health ratios quarterly_financials.json --format json
/financial-health dcf acme_valuation.json
/financial-health budget q1_budget.json --format json
/financial-health forecast revenue_history.json

Scripts Copy Chapter

• finance/skills/financial-analyst/scripts/ratio_calculator.py — Profitability, liquidity, leverage, efficiency, valuation ratios
• finance/skills/financial-analyst/scripts/dcf_valuation.py — DCF enterprise and equity valuation with sensitivity analysis
• finance/skills/financial-analyst/scripts/budget_variance_analyzer.py — Actual vs budget vs prior year variance analysis
• finance/skills/financial-analyst/scripts/forecast_builder.py — Driver-based revenue forecasting with scenario modeling

Skill Reference Copy Chapter

→ finance/skills/financial-analyst/SKILL.md

Related Commands Copy Chapter

• /saas-health — SaaS-specific metrics (ARR, MRR, churn, CAC, LTV, Quick Ratio)

File: docs/commands/focused-fix.md Copy Chapter

title: "/focused-fix — Slash Command for AI Coding Agents" Copy Chapter

/focused-fix

:material-console: Slash Command
:material-github: Source

Systematically repair an entire feature or module using the 5-phase protocol. Target: $ARGUMENTS (a feature path or module name).

If $ARGUMENTS is empty, ask the user which feature/module to fix.

Protocol — Execute ALL 5 Phases IN ORDER Copy Chapter

Phase 1: SCOPE — Map the Feature Boundary Copy Section

1. Identify the primary folder/files for the target feature
2. Read EVERY file in that folder — understand its purpose
3. Create a feature manifest:

FEATURE SCOPE:
  Primary path: 
  Entry points: [files imported by other parts of the app]
  Internal files: [files only used within this feature]
  Total files: N

Phase 2: TRACE — Map All Dependencies Copy Section

INBOUND (what this feature imports):

• For every import statement, trace to source, verify it exists and is exported
• Check env vars, config files, DB models, API endpoints, third-party packages

OUTBOUND (what imports this feature):

• Search entire codebase for imports from this feature
• Verify consumers use correct API/interface

Output a dependency map with inbound, outbound, env vars, and config files.

Phase 3: DIAGNOSE — Find Every Issue Copy Section

Run ALL diagnostic checks:

• Code: imports resolve, no circular deps, types consistent, error handling, TODO/FIXME
• Runtime: env vars set, migrations current, API shapes correct
• Tests: run ALL related tests, record failures, check coverage
• Logs: check git log for recent changes, search error logs
• Config: validate config files, check dev/prod mismatches

For each issue found:

• Confirm root cause with evidence before adding to fix list
• Assign risk: HIGH (public API, auth, >3 callers) / MED (internal with tests) / LOW (leaf module)

Output a diagnosis report with issues grouped by severity.

Phase 4: FIX — Repair Systematically Copy Section

Fix in this EXACT order:

1. Dependencies — broken imports, missing packages
2. Types — type mismatches at boundaries
3. Logic — business logic bugs
4. Tests — fix or create tests for each fix
5. Integration — verify end-to-end with consumers

Rules:

• Fix ONE issue at a time, run related test after each
• If a fix breaks something else → go back to DIAGNOSE
• Fix HIGH before MED before LOW
• 3-Strike Rule: If 3+ fixes create NEW issues, STOP. Tell the user the architecture may need rethinking, not patching.

Phase 5: VERIFY — Confirm Everything Works Copy Section

1. Run ALL tests in the feature folder
2. Run ALL tests in files that import from this feature
3. Run full test suite if available
4. Summarize all changes made

Output a completion report with files changed, fixes applied, test results, and consumers verified.

Iron Law Copy Chapter

NO FIXES WITHOUT COMPLETING SCOPE → TRACE → DIAGNOSE FIRST

If you haven't finished Phase 3, you cannot propose fixes.

Related Skills Copy Chapter

• engineering/focused-fix — Full SKILL.md with detailed checklists, output templates, and anti-patterns
• superpowers:systematic-debugging — For individual complex bugs found during Phase 3

File: docs/commands/google-workspace.md Copy Chapter

title: "/google-workspace — Slash Command for AI Coding Agents" Copy Chapter

/google-workspace

:material-console: Slash Command
:material-github: Source

Google Workspace CLI administration via the gws CLI. Run setup diagnostics, security audits, browse and execute recipes, and analyze command output.

Usage Copy Chapter

/google-workspace setup [--json]
/google-workspace audit [--services gmail,drive,calendar] [--json]
/google-workspace recipe list [--persona <role>] [--json]
/google-workspace recipe search <keyword> [--json]
/google-workspace recipe run <name> [--dry-run]
/google-workspace recipe describe <name>
/google-workspace analyze [--filter <field=value>] [--group-by <field>] [--stats <field>] [--format table|csv|json]

Examples Copy Chapter

/google-workspace setup
/google-workspace audit --services gmail,drive --json
/google-workspace recipe list --persona pm
/google-workspace recipe search "email"
/google-workspace recipe run standup-report --dry-run
/google-workspace recipe describe morning-briefing
/google-workspace analyze --filter "mimeType=pdf" --select "name,size" --format table

Scripts Copy Chapter

• engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/gws_doctor.py — Pre-flight diagnostics
• engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/auth_setup_guide.py — Auth setup guide
• engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/gws_recipe_runner.py — Recipe catalog & runner
• engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/workspace_audit.py — Security audit
• engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/output_analyzer.py — JSON/NDJSON analyzer

Subcommands Copy Chapter

setup Copy Section

Run pre-flight diagnostics and auth validation.

python3 engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/gws_doctor.py [--json]
python3 engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/auth_setup_guide.py --validate [--json]

audit Copy Section

Run security and configuration audit.

python3 engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/workspace_audit.py [--services gmail,drive,calendar] [--json]

recipe Copy Section

Browse, search, and execute the 43 built-in gws recipes.

python3 engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/gws_recipe_runner.py --list [--persona <role>] [--json]
python3 engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/gws_recipe_runner.py --search <keyword> [--json]
python3 engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/gws_recipe_runner.py --describe <name>
python3 engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/gws_recipe_runner.py --run <name> [--dry-run]

analyze Copy Section

Parse, filter, and aggregate JSON output from any gws command.

gws <command> --json | python3 engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/output_analyzer.py [options]
python3 engineering-team/google-workspace-cli/skills/google-workspace-cli/scripts/output_analyzer.py --demo --format table

Skill Reference Copy Chapter

-> engineering-team/google-workspace-cli/skills/google-workspace-cli/SKILL.md

Related Commands Copy Chapter

• No direct dependencies (self-contained Google Workspace skill)