@vasilyu1983/startup-go-to-market
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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.
Quick Start • Skills • Custom GPTs • Contributing
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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:
frameworks/shared-skills/— 140 agent skills following the Agent Skills specification. Drop into~/.claude/skills/.custom-gpt/— 28 Custom GPT system prompts for ChatGPT, written to fit the GPT builder's 8000-character Instructions limit.
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/, ownscripts/, 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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Bill of Materials
Everything this skill can do — files, network, commands, and more.