AI Agent Skills

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from developmen…

Synthesize settled context into a behavior-focused spec for an engineering agent.

AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source…

Autonomous AI development loop for Claude Code with intelligent exit detection

A maintained ctags implementation

A Python implementation of John Gruber’s Markdown with Extension support.

Deep dive into Claude Code internals — architecture, agent loop, context engineering, and more. / 深入解析 Claude Code 源码：架构、Agent 循环、上下文工程、工具系统等

Turn approved specs into long-running autonomous implementation. A minimal, adaptable SDD harness with Agent Skills for Claude Code, Codex, Cursor, Copilot, Windsurf, Op…

Implementation of papers in 100 lines of code.

🔂 Ralph loop with PRs: Run Claude Code in a continuous loop, autonomously creating PRs, waiting for checks, and merging

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

Use when implementing any feature or bugfix, before writing implementation code

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native too…

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.