git:20260321.deb73d4 to git:20260629.ee6fb37

31 added, 30 removed. Audit A to A.

# AI Skills Library — Cursor Rules

+ > **Note:** Cursor now prefers per-rule files in `.cursor/rules/*.mdc` (Project Rules).

+ > This `.cursorrules` file is kept for backward compatibility; see `.cursor/rules/` for the

+ > scoped, auto-attaching rules. Keep both in sync when counts or structure change.

## What This Repository Is

- This is the universal AI skills library — 204 production-ready skill packages across 13 professional domains with 559 Python automation tools and 12 sample CI/CD workflows. It works with every major AI coding assistant.

+ This is the universal AI skills library — **339 production-ready skill packages across 17 professional domains** with **787 Python automation tools**, 76 agents (incl. 8 cross-domain personas), 27 slash commands, and 8 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

+ ## Repository Structure (domain → skill count)

- - engineering-team/ — 28 core engineering skills + 95 Python tools

- - engineering/ — 33 advanced architecture skills + 94 Python tools

- - marketing-skill/ — 35 marketing skills + 106 Python tools

- - product-team/ — 8 product skills + 15 Python tools

- - project-management/ — 23 PM skills + 51 Python tools

- - c-level-advisor/ — 26 C-level advisory skills + 75 Python tools

- - ra-qm-team/ — 21 regulatory/quality/compliance skills + 38 Python tools

- - business-growth/ — 16 business & growth skills + 48 Python tools

- - data-analytics/ — 5 data analytics skills + 16 Python tools

- - hr-operations/ — 4 HR operations skills + 12 Python tools

- - sales-success/ — 5 sales success skills + 15 Python tools

- - finance/ — 1 finance skill + 4 Python tools

- - scripts/ — Skill installer + utility scripts

- - standards/ — Best practices library

- - templates/ — Reusable templates + 12 sample workflows

+ - engineering/ — 82 skills (architecture, fullstack, DevOps, security, AI/ML, data, agent tooling)

+ - project-management/ — 66 skills (discovery, delivery, career, strategy-frameworks/, gtm/, Jira/Linear/Notion)

+ - marketing/ — 39 skills (content, SEO/AEO, demand gen, brand, analytics)

+ - c-level-advisor/ — 31 skills (CEO/CTO/CFO/CMO/CRO/CPO/COO/CHRO/CISO + CAIO/CDO/CCO/GC/VPE)

+ - ra-qm-team/ — 27 skills (ISO 13485, MDR, FDA, SOC 2, GDPR, EU AI Act, NIS2, DORA, NIST CSF)

+ - business-growth/ — 20 skills (CRO, pricing, revenue ops, commercial)

+ - legal/ — 17 skills (EXPERIMENTAL: contracts, NDA, privacy, DPIA, breach response)

+ - product-team/ — 13 skills (RICE, OKRs, UX research, product analytics, Apple HIG)

+ - personal-productivity/ — 10 skills (resume, leads, meetings, invoices, email triage)

+ - vertical-advisors/ — 7 skills (fintech, healthtech, edtech, ecommerce, proptech, climate-tech, marketplace)

+ - data-analytics/ — 5 skills (analysis, BI, data science, ML ops)

+ - sales-success/ — 5 skills (account exec, sales ops, solutions architect)

+ - documents/ — 4 skills (docx, pdf, pptx, xlsx — stdlib OOXML)

+ - hr-operations/ — 4 skills (talent, people analytics, HRBP)

+ - research/ — 4 skills (litreview, grants, patent, dossier)

+ - finance/ — 3 skills (financial analysis, DCF, forecasting)

+ - workflow/ — 2 skills (skill-router, handoff — meta-skills for routing & context handoff)

+ Supporting: `scripts/` (manifest builder + installer), `standards/` (best-practices library), `templates/` (reusable templates + sample workflows), `agents/` (cs-* domain agents + personas), `cli/skills.json` (machine-readable manifest).

## Skill Package Pattern

Every skill follows this structure:

- - SKILL.md — Master documentation with workflows

+ - SKILL.md — Master documentation with workflows (progressive disclosure: lean Tier-1, detailed references on demand)

- 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

+ - Markdown: YAML frontmatter on all SKILL.md files, consistent formatting, descriptions ≤ ~60 tokens

- 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

+ ```bash

python scripts/skill-installer.py list

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

python scripts/skill-installer.py update

+ ```

+ After adding/removing/renaming any skill, regenerate the manifest: `python scripts/build_manifest.py`.