AI Agents Library

Production-Ready AI Agent Prompts & Skills

What's Inside

Two things, usable independently:

• frameworks/shared-skills/ — 140 agent skills following the

• custom-gpt/ — 28 Custom GPT system prompts for ChatGPT, written to fit

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

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.