
版本: v3.0 Complete Edition 更新: 2025-01-22 状态: ✅ 完整 (139个技能)
2,902 developers. Ranked by the GitHub stars their repos have earned. Each card shows their biggest plugin.
2,902 developers

版本: v3.0 Complete Edition 更新: 2025-01-22 状态: ✅ 完整 (139个技能)

A video link in, a structured archival Markdown note out. Capture the transcript, creator metadata, description, chapters, actual language, and provenance in one Obsidian-ready file, without an API key.

Reverse engineer clean behavioral specs from any codebase. Greenfield reads source code, documentation, SDKs, runtime behavior, and binaries, then produces behavioral specifications, test vectors, acceptance criteria, and a full provenance trail.

An agent-first task board, Take human out of the loop.

Dogwood is a governance language designed for AI agents and their tools. It supports Cedar policies and adds temporal conditions (since, formerly, once, aggregations) to look back over an agent's recent events.

QA harness built for Claude Code | E2E testing with screen recordings, console logs, network HARs, and Playwright traces

Anything in, clean Markdown out. Self-hosted conversion of web pages, documents, images, audio and YouTube videos into token-lean Markdown, for you and for your AI agents. Quick start · Use with AI agents · API · Configuration ·

Rules\skills\subagens for vibecoding in 1C(bsl)

Rent the model. Own everything else. Free, open-source AI app for real work.

Stop explaining .NET to your AI. Start building. We've all been there: asking Claude to use Entity Framework, only to get EF6 patterns in a .NET 8 project. Explaining to Copilot that Blazor Server and Blazor WebAssembly aren't the same thing.

Web search, content extraction, site crawling, URL discovery, and deep research — powered by the Tavily CLI.

Open Second Brain is a memory layer for AI agents that lives in an Obsidian vault. Agents read and write it through MCP servers, lifecycle hooks and the o2b CLI.

Skill from video 1 of the Quant Series: How To Use The Hedge Fund Method To Win Every Single Trade. Framework by Roan (@RohOnChain) — I'm the guy installing it on camera.

22 production-quality Claude Code Skills for cybersecurity professionals, covering offensive security, defensive operations, reverse engineering, threat hunting, threat intelligence, purple team / adversary emulation, CSOC automation, AI/LLM security, mobile, OT/ICS, GRC, software supply chain security, and more.

Governs dbt and SQL workflows with verifier agents checking data quality across Postgres, MySQL, SQLite, and Snowflake. Fires during pipeline runs, warehouse queries, or report generation.

Official agentic skills for Qt software development and quality assurance, designed for use with AI coding tools such as Claude Code, Codex CLI, and GitHub Copilot. Skills have been tested with frontier LLMs from the Claude, Gemini, and GPT model families.

Maestro is a multi-agent development orchestration platform with 39 specialists, an Express path for simple work, a 4-phase standard workflow for medium and complex work, persistent session state, and standalone

A World of Tanks-style armored combat simulator built directly with Three.js and Vite: 220 vehicles, 33 destructible battlefields, and 13 modes, with plate-level armor, ballistics, modules, spotting, and physics. Play in your browser on desktop or mobile. Built end-to-end by a multi-agent Claude/Codex pipeline.

Describe what you want built — get a finished project. An agent skill for Claude Code, Cursor and Codex: asks only where your idea forks, then writes the spec, splits it into tasks, builds it and checks the result against your original brief. Live progress on a dashboard that opens by itself.

30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.

AI agents that act as your personal venture analyst - from startup idea brainstorming to full validation and go-to-market strategy. Built for developers who'd rather validate in 10 minutes than regret in six months. Powered by Claude Code, OpenAI Codex, and Cursor.

Persistent engineering context that helps coding agents understand a repository without rediscovering its architecture every session. Preserve decisions, constraints, and cross-module contracts that source code does not explain cheaply.

A local-first stack for building a personal AI assistant for work inside real corporate constraints. Use the coding agents, browser sessions, desktop apps, notifications, and tool access you already have.

🚀✨ News: This branch is the version that solved YTD. 🎉 Danus orchestrates mathematical reasoning agents with fact-graph memory.