claude-skills-reference/CLAUDE.md

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Purpose

This is a comprehensive skills library for Claude AI and Claude Code - reusable, production-ready skill packages that bundle domain expertise, best practices, analysis tools, and strategic frameworks. The repository provides modular skills that teams can download and use directly in their workflows.

Current Scope: 170 production-ready skills across 9 domains with 210+ Python automation tools, 310+ reference guides, 12 agents, and 5 slash commands.

Key Distinction: This is NOT a traditional application. It's a library of skill packages meant to be extracted and deployed by users into their own Claude workflows.

Navigation Map

This repository uses modular documentation. For domain-specific guidance, see:

Domain	CLAUDE.md Location	Focus
Agent Development	agents/CLAUDE.md	cs-* agent creation, YAML frontmatter, relative paths
Marketing Skills	marketing-skill/CLAUDE.md	Content creation, SEO, ASO, demand gen, campaign analytics
Product Team	product-team/CLAUDE.md	RICE, OKRs, user stories, UX research, SaaS scaffolding
Engineering (Core)	engineering-team/CLAUDE.md	Fullstack, AI/ML, DevOps, security, data, QA tools
Engineering (POWERFUL)	engineering/	Agent design, RAG, MCP, CI/CD, database, observability
C-Level Advisory	c-level-advisor/CLAUDE.md	CEO/CTO strategic decision-making
Project Management	project-management/CLAUDE.md	Atlassian MCP, Jira/Confluence integration
RA/QM Compliance	ra-qm-team/CLAUDE.md	ISO 13485, MDR, FDA, GDPR, ISO 27001 compliance
Business & Growth	business-growth/CLAUDE.md	Customer success, sales engineering, revenue operations
Finance	finance/CLAUDE.md	Financial analysis, DCF valuation, budgeting, forecasting
Standards Library	standards/CLAUDE.md	Communication, quality, git, security standards
Templates	templates/CLAUDE.md	Template system usage

Architecture Overview

Repository Structure

claude-code-skills/
├── .claude-plugin/            # Plugin registry (marketplace.json)
├── agents/                    # 12 cs-* prefixed agents across all domains
├── commands/                  # 5 slash commands (changelog, tdd, tech-debt, etc.)
├── engineering-team/          # 23 core engineering skills + Playwright Pro + Self-Improving Agent
├── engineering/               # 25 POWERFUL-tier advanced skills
├── product-team/              # 8 product skills + Python tools
├── marketing-skill/           # 42 marketing skills (7 pods) + Python tools
├── c-level-advisor/           # 28 C-level advisory skills (10 roles + orchestration)
├── project-management/        # 6 PM skills + Atlassian MCP
├── ra-qm-team/                # 12 RA/QM compliance skills
├── business-growth/           # 4 business & growth skills + Python tools
├── finance/                   # 1 finance skill + Python tools
├── eval-workspace/            # Skill evaluation results (Tessl)
├── standards/                 # 5 standards library files
├── templates/                 # Reusable templates
├── docs/                      # MkDocs Material documentation site
├── scripts/                   # Build scripts (docs generation)
└── documentation/             # Implementation plans, sprints, delivery

Skill Package Pattern

Each skill follows this structure:

skill-name/
├── SKILL.md              # Master documentation
├── scripts/              # Python CLI tools (no ML/LLM calls)
├── references/           # Expert knowledge bases
└── assets/               # User templates

Design Philosophy: Skills are self-contained packages. Each includes executable tools (Python scripts), knowledge bases (markdown references), and user-facing templates. Teams can extract a skill folder and use it immediately.

Key Pattern: Knowledge flows from references/ → into SKILL.md workflows → executed via scripts/ → applied using assets/ templates.

Git Workflow

Branch Strategy: feature → dev → main (PR only)

Branch Protection Active: Main branch requires PR approval. Direct pushes blocked.

Quick Start

# 1. Always start from dev
git checkout dev
git pull origin dev

# 2. Create feature branch
git checkout -b feature/agents-{name}

# 3. Work and commit (conventional commits)
feat(agents): implement cs-{agent-name}
fix(tool): correct calculation logic
docs(workflow): update branch strategy

# 4. Push and create PR to dev
git push origin feature/agents-{name}
gh pr create --base dev --head feature/agents-{name}

# 5. After approval, PR merges to dev
# 6. Periodically, dev merges to main via PR

Branch Protection Rules:

• ✅ Main: Requires PR approval, no direct push
• ✅ Dev: Unprotected, but PRs recommended
• ✅ All: Conventional commits enforced

See documentation/WORKFLOW.md for complete workflow guide. See standards/git/git-workflow-standards.md for commit standards.

Development Environment

No build system or test frameworks - intentional design choice for portability.

Python Scripts:

• Use standard library only (minimal dependencies)
• CLI-first design for easy automation
• Support both JSON and human-readable output
• No ML/LLM calls (keeps skills portable and fast)

If adding dependencies:

• Keep scripts runnable with minimal setup (pip install package at most)
• Document all dependencies in SKILL.md
• Prefer standard library implementations

Current Version

Version: v2.1.1 (latest)

v2.1.1 Highlights:

• 18 skills optimized from 66-83% to 85-100% via Tessl quality review
• 21 over-500-line skills split into SKILL.md + references/
• YAML frontmatter (name + description) added to all SKILL.md files
• 6 new agents + 5 slash commands for full domain coverage
• MkDocs Material documentation site at alirezarezvani.github.io/claude-skills

v2.0.0 (2026-02-16):

• 25 POWERFUL-tier engineering skills added (engineering/ folder)
• Plugin marketplace infrastructure (.claude-plugin/marketplace.json)
• Multi-platform support: Claude Code, OpenAI Codex, OpenClaw

Past Sprints: See documentation/delivery/ and CHANGELOG.md for history.

Roadmap

Phase 1-2 Complete: 170 production-ready skills deployed across 9 domains

• Engineering Core (23), Engineering POWERFUL (25), Product (8), Marketing (42), PM (6), C-Level (28), RA/QM (12), Business & Growth (4), Finance (1)
• 210+ Python automation tools, 310+ reference guides, 12 agents, 5 commands
• Complete enterprise coverage from engineering through regulatory compliance, sales, customer success, and finance
• MkDocs Material docs site with 170+ indexed pages for SEO

See domain-specific roadmaps in each skill folder's README.md or roadmap files.

Key Principles

1. Skills are products - Each skill deployable as standalone package
2. Documentation-driven - Success depends on clear, actionable docs
3. Algorithm over AI - Use deterministic analysis (code) vs LLM calls
4. Template-heavy - Provide ready-to-use templates users customize
5. Platform-specific - Specific best practices > generic advice

Anti-Patterns to Avoid

• Creating dependencies between skills (keep each self-contained)
• Adding complex build systems or test frameworks (maintain simplicity)
• Generic advice (focus on specific, actionable frameworks)
• LLM calls in scripts (defeats portability and speed)
• Over-documenting file structure (skills are simple by design)

Working with This Repository

Creating New Skills: Follow the appropriate domain's roadmap and CLAUDE.md guide (see Navigation Map above).

Editing Existing Skills: Maintain consistency across markdown files. Use the same voice, formatting, and structure patterns.

Quality Standard: Each skill should save users 40%+ time while improving consistency/quality by 30%+.

Additional Resources

• .gitignore: Excludes .vscode/, .DS_Store, AGENTS.md, PROMPTS.md, .env*
• Plugin Registry: .claude-plugin/marketplace.json - Marketplace distribution
• Standards Library: standards/ - Communication, quality, git, documentation, security
• Implementation Plans: documentation/implementation/
• Sprint Delivery: documentation/delivery/

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Last Updated: March 2026 Version: v2.1.1 Status: 170 skills deployed across 9 domains, 18 marketplace plugins, docs site live