git:20260306.88737f0 to git:20260309.eaeefa4

9 added, 9 removed. Audit A to A.

# AI Skills Library — Cursor Rules

## What This Repository Is

- This is the universal AI skills library — 97 production-ready skill packages across 13 professional domains with 178 Python automation tools and 12 sample CI/CD workflows. It works with every major AI coding assistant.

+ This is the universal AI skills library — 199 production-ready skill packages across 13 professional domains with 215+ Python automation tools and 12 sample CI/CD workflows. It works with every major AI coding assistant.

This is NOT a traditional application. It's a library of self-contained skill packages meant to be extracted and deployed into user workflows.

## Repository Structure

- engineering-team/ — 24 core engineering skills + 50 Python tools

- - engineering/ — 12 advanced architecture skills + 33 Python tools

- - marketing-skill/ — 10 marketing skills + 6 Python tools

- - product-team/ — 7 product skills + 6 Python tools

- - project-management/ — 9 PM skills + 5 Python tools

- - c-level-advisor/ — 5 C-level advisory skills + 4 Python tools

- - ra-qm-team/ — 12 regulatory/quality skills + 10 Python tools

- - business-growth/ — 3 business skills + 9 Python tools

+ - engineering/ — 33 advanced architecture skills + 33 Python tools

+ - marketing-skill/ — 35 marketing skills + 6 Python tools

+ - product-team/ — 8 product skills + 6 Python tools

+ - project-management/ — 21 PM skills + 5 Python tools

+ - c-level-advisor/ — 26 C-level advisory skills + 4 Python tools

+ - ra-qm-team/ — 21 regulatory/quality/compliance skills + 35 Python tools

+ - business-growth/ — 16 business & growth skills + 9 Python tools

- data-analytics/ — 5 data analytics skills

- hr-operations/ — 4 HR operations skills

- sales-success/ — 5 sales success skills

- finance/ — 1 finance skill + 4 Python tools

- scripts/ — Skill installer + utility scripts

- standards/ — Best practices library

- - templates/ — Reusable templates

+ - templates/ — Reusable templates + 12 sample workflows

## Skill Package Pattern

Every skill follows this structure:

- SKILL.md — Master documentation with workflows

- scripts/ — Python CLI tools (standard library only, no ML/LLM calls)

- references/ — Expert knowledge bases

- assets/ — User-facing templates

Knowledge flows: references/ → SKILL.md workflows → scripts/ execution → assets/ templates.

## Navigation

For domain-specific guidance, see the CLAUDE.md in each domain folder:

- agents/CLAUDE.md — Agent creation

- engineering-team/CLAUDE.md — Engineering skills

- marketing-skill/CLAUDE.md — Marketing skills

- product-team/CLAUDE.md — Product skills

- project-management/CLAUDE.md — PM skills

- c-level-advisor/CLAUDE.md — C-level advisory

- ra-qm-team/CLAUDE.md — Regulatory compliance

## Code Style

- Python scripts: Standard library only, CLI-first with argparse, JSON + human-readable output

- Markdown: YAML frontmatter on all SKILL.md files, consistent formatting

- Commits: Conventional commits — feat(domain):, fix(tool):, docs(skill):

## Key Principles

1. Skills are products — Each skill is deployable as a standalone package

2. Documentation-driven — Clear, actionable docs over generic advice

3. Algorithm over AI — Deterministic analysis (Python scripts) over LLM calls

4. Template-heavy — Ready-to-use templates users customize

5. Self-contained — No dependencies between skills

## Anti-Patterns

- Creating dependencies between skills

- Adding complex build systems or test frameworks

- Generic advice instead of specific, actionable frameworks

- LLM/ML calls in scripts (defeats portability)

- Over-documenting file structure

## Quick Install

python scripts/skill-installer.py list

python scripts/skill-installer.py install <skill-name> --agent cursor

python scripts/skill-installer.py update