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 - 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: 42 production-ready skills across 6 domains with 97 Python automation tools.

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, demand gen Python tools
Product Team	product-team/CLAUDE.md	RICE, OKRs, user stories, UX research tools
Engineering	engineering-team/CLAUDE.md	Scaffolding, fullstack, AI/ML, data tools
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 compliance workflows
Standards Library	standards/CLAUDE.md	Communication, quality, git, security standards
Templates	templates/CLAUDE.md	Template system usage

Current Sprint: See documentation/delivery/sprint-11-05-2025/ for active sprint context and progress.

Architecture Overview

Repository Structure

claude-code-skills/
├── agents/                    # cs-* prefixed agents (in development)
├── marketing-skill/           # 3 marketing skills + Python tools
├── product-team/              # 5 product skills + Python tools
├── engineering-team/          # 14 engineering skills + Python tools
├── c-level-advisor/           # 2 C-level skills
├── project-management/        # 6 PM skills + Atlassian MCP
├── ra-qm-team/                # 12 RA/QM compliance skills
├── standards/                 # 5 standards library files
├── templates/                 # Reusable templates
└── 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

Follow conventional commits and semantic versioning:

# Feature branches by domain
git checkout -b feature/marketing/seo-optimizer
git checkout -b feature/agents/content-creator

# Conventional commit format
feat(agents): implement cs-content-creator agent
fix(seo-optimizer): correct keyword density calculation
docs(README): update agent catalog section

# Semantic versioning by skill
git tag v1.0-content-creator
git tag v1.0-product-manager-toolkit

Branch Strategy: Domain-based branches, squash merge to main, semantic tags per skill release.

See standards/git/git-workflow-standards.md for complete workflow details.

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 Sprint

Active Sprint: sprint-11-05-2025 (Nov 5-19, 2025) Goal: Skill-Agent Integration Phase 1-2 Status: Day 1 complete (foundation), Day 2 ready (marketing agents)

Progress Tracking:

• Sprint Plan - Day-by-day execution plan
• Sprint Context - Goals, scope, risks
• Sprint Progress - Real-time auto-updating tracker

Roadmap

Phase 1 Complete: 42 production-ready skills deployed

• Marketing (3), C-Level (2), Product (5), PM (6), Engineering (14), RA/QM (12)
• 97 Python automation tools, 90+ reference guides
• Complete enterprise coverage from marketing through regulatory compliance

Next Priorities:

• Phase 2 (Q1 2026): Marketing expansion - SEO optimizer, social media manager, campaign analytics
• Phase 3 (Q2 2026): Business & growth - Sales engineer, customer success, growth marketer
• Phase 4 (Q3 2026): Specialized domains - Mobile, blockchain, web3, finance

Target: 50+ skills by Q3 2026

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*
• Standards Library: standards/ - Communication, quality, git, documentation, security
• Implementation Plans: documentation/implementation/
• Sprint Delivery: documentation/delivery/

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Last Updated: November 5, 2025 Current Sprint: sprint-11-05-2025 (Skill-Agent Integration Phase 1-2) Status: 42 skills deployed, agent system in development