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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A collection of Agent Skills Standard and Best Practice for Programming Languages, Frameworks that help our AI Agent follow best practies on frameworks and programming laguages
| Date | Stars |
|---|---|
| 2026-07-31 | 536 |
| 2026-08-06 | 537 |
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# Agent Skills Standard [](https://www.npmjs.com/package/agent-skills-standard) [](LICENSE) [](https://github.com/HoangNguyen0403/agent-skills-standard/stargazers) [](https://github.com/HoangNguyen0403/agent-skills-standard/security/code-scanning) **The portable SDLC standards layer for AI coding agents. Sync once, then work in your own runtime.** **Current release:** `v2.5.1` — trust-gated review workflows, markdown-first security handoff, expanded framework/database guidance, and a new Python backend skill pack for SDLC delivery. 280 ready-to-use coding standards for **Cursor, Claude Code, GitHub Copilot, Gemini, Windsurf, Trae, Kiro, Roo** and more — synced, versioned, and optimized to use **85% fewer tokens** than traditional prompt engineering. ```bash npx agent-skills-standard@latest init npx agent-skills-standard@latest sync # Done. Your AI now has portable team standards and SDLC workflows. ``` If `ags -V` still shows an old version after reinstalling, check your PATH order. `~/Library/pnpm` must come before `~/Library/pnpm/bin`, then run `hash -r` and verify with `ags -V` again. **Not an engineer?** You don't need to run any of the above — just describe your idea to your AI agent. See [Getting Started: Product Owner](docs/getting-started-product-owner.md). --- ## The Problem Every team has coding standards. But AI agents don't know them. You end up repeating the same instructions: _"Use OnPush change detection"_, _"Always wrap errors with context"_, _"No business logic in handlers"_. And every time, you face the same trade-off: - **Too many rules** = AI forgets them, wastes tokens, gets confused - **Too few rules** = AI writes generic code that doesn't match your standards - **Copy-paste `.cursorrules`** = out of date in a week, doesn't scale to teams ## The Solution Agent Skills Standard turns your engineering rules into **modular, version-controlled skills** that any AI agent can load on demand. | Without Skills | With Skills | | :------------------------------------------ | :------------------------------------------------------------------ | | 3,600+ token architect prompt in every chat | ~500 token skill, loaded only when relevant | | Rules drift across team members' prompts | Single source of truth, synced via CLI | | Works in one AI tool, copy-paste to others | Works in Cursor, Claude, Copilot, Gemini, Windsurf, Trae, Kiro, Roo | | AI scans all rules every time (slow, lossy) | Hierarchical lookup: ~25 lines scanned per edit | ### Not Another Agent Runtime Agent Skills Standard does **not** force you into a new daily command system. `ags` is for setup, sync, validation, MCP wiring, and updates. After sync, your AI tool receives native assets: - Claude/Roo/OpenCode commands - Codex/Cursor/Trae skills - Gemini TOML commands - Copilot prompts - Antigravity/Kiro workflow files - MCP tools for runtime enforcement You keep the files in your repo, customize them with `.skillsrc` and `custom_overrides`, and run workflows inside the agent you already use. ### How It Works ```bash You run: npx agent-skills-standard sync What your AI gets: 1. AGENTS.md (router ~20 lines) "Editing *.ts? Check typescript/_INDEX.md" 2. typescript/_INDEX.md (trigger table) File Match: typescript-language *.ts, *.tsx, tsconfig.json Keyword: typescript-security validate, sanitize, auth 3. typescript-language/SKILL.md (loaded on demand) The ac
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:fd0e0aa81801335d, topic:agentic-ai, desc:ai agent