AGENTS.md · git:20260629.ee6fb37 · 2026-06-29 · sha256 48e87ebc6dce1667
AGENTS.md git:20260629.ee6fb37A
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# AI Skills Library — Agent Instructions ## What This Repository Is 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: Claude Code, Cursor, Copilot, Codex / ChatGPT, Gemini CLI, Windsurf, Cline, Aider, Goose, and more. **This is NOT a traditional application.** It's a library of self-contained skill packages meant to be extracted and deployed by users into their own workflows. ## Supported Platforms | Platform | Config File | Status | |----------|------------|--------| | Claude Code | `CLAUDE.md` + `.claude-plugin/marketplace.json` | Primary | | OpenAI Codex / ChatGPT | `AGENTS.md` (root + nested per-domain) | Full | | Cursor | `.cursor/rules/*.mdc` (+ legacy `.cursorrules`) | Full | | Gemini CLI | `GEMINI.md` + `.gemini/skills-index.json` | Full | | GitHub Copilot | `.github/copilot-instructions.md` | Full | | Windsurf | `.windsurfrules` | Full | | Cline | `.clinerules` | Full | | Goose | `.goosehints` | Full | | Aider · Jules · RooCode / Kilo Code | `AGENTS.md` | Full | > Codex and other AGENTS.md-aware agents also read **nested `AGENTS.md`/`CLAUDE.md` files** inside each > domain folder for scoped guidance (e.g. `engineering/CLAUDE.md`, `project-management/CLAUDE.md`). ## Repository Structure (domain → skill count) ``` ├── 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) ├── agents/ # 68 cs-* domain agents + 8 cross-domain personas ├── scripts/ # Manifest builder (build_manifest.py) + skill installer ├── standards/ # Best-practices library ├── templates/ # Reusable templates + sample workflows └── cli/skills.json # Machine-readable manifest (regenerated by build_manifest.py) ``` ## Skill Package Pattern Every skill follows the same structure: ``` skill-name/ ├── SKILL.md # Master documentation with workflows (progressive disclosure: lean Tier-1 + on-demand references) ├── scripts/ # Python CLI tools (standard library, no ML/LLM calls) ├── references/ # Expert knowledge bases └── assets/ # User-facing templates ``` Knowledge flows: `references/` → `SKILL.md` workflows → `scripts/` execution → `assets/` templates. ## Quick Install ```bash # Browse available skills python scripts/skill-installer.py list # Install a skill python scripts/skill-installer.py install senior-fullstack --agent claude python scripts/skill-installer.py install content-creator --agent cursor python scripts/skill-installer.py install ceo-advisor --agent codex # Keep skills up to date python scripts/skill-installer.py update ``` After adding/removing/renaming any skill, regenerate the manifest so every platform surface stays in sync: ```bash python scripts/build_manifest.py # rewrites cli/skills.json + registry.json ``` ## Code Style - **Python scripts:** Standard library only, CLI-first with argparse, JSON + human-readable output - **Markdown:** YAML frontmatter on all SKILL.md files, descriptions ≤ ~60 tokens, 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