@vasilyu1983/project-astrology-chinese

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SKILL.md

AI Agents Library

Production-Ready AI Agent Prompts & Skills

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28 Custom GPT agents and 140 agent skills for ChatGPT, Claude Code, and Codex.

License: MIT Custom GPTs Skills PRs Welcome

Quick StartSkillsCustom GPTsContributing

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What's Inside

Agent skills are portable instruction sets that teach AI agents how to execute domain work well — each is a directory with a SKILL.md entry point (YAML frontmatter + routing), progressive-disclosure references, and self-contained scripts and data.

Two things, usable independently:

Quick Start

git clone https://github.com/vasilyu1983/AI-Agents-public.git
cd AI-Agents-public

# One skill
ln -s "$PWD/frameworks/shared-skills/skills/ai-rag" ~/.claude/skills/ai-rag

# All of them
for s in frameworks/shared-skills/skills/*/; do
  ln -s "$PWD/$s" ~/.claude/skills/"$(basename "$s")"
done

Symlinks mean edits take effect immediately — no re-sync step.

For a Custom GPT: open custom-gpt/<category>/<agent>/01_*.md, paste into the GPT builder's Instructions field, and attach the sibling 02_sources-*.json as Knowledge if present.

Agent Skills

Family Count Covers
software-* 34 Backend, frontend, iOS, Android, desktop, security, payments, performance
ai-* 21 RAG, evals, prompt engineering, pretraining, post-training, inference, MLOps
qa-* 17 Test strategy, debugging, resilience, observability, accessibility, Playwright
foundations-* 16 Queueing, control, information, game, decision, reliability theory for systems
ai-coding-agents-* 13 Coding-agent runtime internals: sandboxing, permissions, sessions, tools
dev-* 10 Git workflow, API design, dependency management, code graphs, planning
agents-* 6 Hooks, MCP servers, skill authoring, swarm orchestration, repo memory
data-* 5 Lakehouse, streaming, SQL optimization, analytics engineering
ops-* 4 DevOps platform, incident response, cost optimization, CI/CD
document-* 4 docx, pdf, pptx, xlsx
docs-* 3 Docs-as-code, AI-ready PRDs, note retrieval
research-* 3 arXiv triage, GitHub mining, research method extraction
product-* 2 Product management, help centers
gamedev-* 2 Godot, Roblox

Two areas are unusually deep and harder to find elsewhere: coding-agent runtime internals (how agent CLIs actually implement sandboxing, permissions, and session resume) and systems-theory foundations (queueing and control theory applied to real design decisions, not as abstract math).

Full breakdown: frameworks/shared-skills/README.md.

How a skill is structured

<skill-name>/
├── SKILL.md      # Entry point — frontmatter + routing. Kept small.
├── references/   # Depth, loaded only when the task needs it
├── scripts/      # Deterministic helpers — no model call needed
├── assets/       # Templates and output contracts
└── data/         # sources.json and curated data

SKILL.md stays cheap enough to hold in context; references/ carry the detail and cost nothing until read.

Custom GPT Agents

28 agents across six categories:

Category Count
Productivity 8
Lifestyle 7
Programming 5
Education 3
Research & Analysis 3
Writing 2

Each folder holds 01_*.md (the system prompt) and, where useful, a curated sources JSON.

Repository Layout

AI-Agents-public/
├── custom-gpt/                      # 28 Custom GPT prompts by category
├── frameworks/
│   └── shared-skills/skills/        # 140 agent skills
├── CONTRIBUTING.md
└── LICENSE

How This Library Is Built

These skills are the public subset of a larger private library that is run as an engineered system, not a prompt collection. Every skill here passed through that system's quality machinery:

  • A routing engine — 8 domain routers dispatch 500+ decision scenarios, each an ordered skill chain with an explicit gate and a named failure mode. Skills are written to compose, not just to exist.
  • A generated knowledge graph with drift gates — the catalog (nodes, ownership, ordered scenario edges) is exported from the markdown and CI-checked against it, so prose and structure provably cannot diverge. A pre-tool hook blocks confabulated skill names at invocation time.
  • Adversarial review — scenario content is periodically challenged by parallel expert-panel agent runs (consistency, currency, decision value), and fixes are verified by retrieval smoke tests before merging.
  • Static security screening — third-party skills are scanned for prompt injection, hidden Unicode, and exfiltration sinks before they enter the library (taxonomy adapted from NVIDIA/SkillSpector).
  • Freshness discipline — volatile facts (framework versions, model pricing) live in per-skill data/ files refreshed by script, and prose is gated against its own data to stop version rot.

Standards & Compatibility

  • Specification: skills follow the Agent Skills specification — portable directories, YAML frontmatter, progressive disclosure.
  • Platforms: Claude Code (~/.claude/skills) and Codex CLI (~/.agents/skills); the same directories work in both.
  • Self-containment: every skill works detached from this repo — own data/, own scripts/, symlink-safe path resolution — so a single copied folder is a working install.

Scope

This is a curated public subset of a larger private library. Project-specific, client-scoped, marketing, startup, and legal skills are not published, and skills depending on internal libraries are excluded because they cannot be used outside their origin repo.

Contributing

Issues and PRs welcome — see CONTRIBUTING.md. Useful contributions: correcting something that has gone stale, adding a reference that saved you time, or reporting a skill that misfires.

License

MIT — see LICENSE. Use freely, including commercially.

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