Sandbox
517 repos for x · CodingClear
pzalutski-pixel/
javalens-mcp

MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.

38
agentskillexchange/
skills

Curated, trusted open catalog of AI agent skills for OpenClaw, Claude Code, Codex, GitHub Copilot, Gemini, Cursor, MCP, LangChain, and more. Browse, install, and verify reusable agent workflows.

38

HEDGEHOG codes Cleaner, Faster and with Fewer Tokens. Hedgehog's AI-driven development builds a task dependency graph from your spec-driven, BMAD-METHOD plan, so Claude Code, Cursor & Gemini CLI stay locked to it. A CLI-enforced state machine for agentic coding. Now builds DeepSeek DSH Plugins. DeepSeek Harness、DSH 插件、AI 编程、BMAD 方法. AI Copywriting

38
zxkane/
autonomous-dev-team

Turns issues into merged PRs/MRs with zero human intervention — supports GitHub and GitLab, and Claude Code, Codex CLI, Kiro CLI, Antigravitiy CLI, opencode, and other agent CLIs.

37
shinpr/
codex-workflows

Development workflows for Codex that keep technical rigor and edge-case handling from becoming product overengineering.

37
razbakov/
skill-mix

A management layer for AI agent skills — discover, install, scope, rate, and update skills across Cursor, Codex, and Claude Code.

36
alexei-led/
cc-thingz

Portable skills, agents, hooks, and Pi extensions for Claude Code, Codex CLI, Copilot, Cursor, Grok, and Pi.

35
0xDarkMatter/
claude-mods

Expert skills, agents, commands, rules, hooks & output styles for Claude Code — session continuity + modern CLI tooling for real-world dev workflows

35
gaoguobin/
codex-fast-proxy

Paused Codex App auth-split proxy experiment; future work would need a Responses-to-Chat-Completions adapter.

34

Scan any agent skill — authored or compiled — for prompt injection, secrets, and malicious execution before it touches your agent. Or compile the long tail on the fly.

33
FlyFission/
nuclear-grade-context-engineering

AI agents now operate with authority. Authority without discipline is how complex systems fail. Nuclear’s control loop, ported to AI-assisted software engineering.

33

C.O.N.T.EX.T is designed to compress complex, multi-domain conversations into machine-optimized "Carry-Packets." These packets achieve a crystallization point of 0.15 entity/token, ensuring that a receiving model can reconstruct the original context with near-perfect fidelity.

32
doeixd/
opencode-ralph-rlm

OpenCode plugin: Ralph outer loop + RLM inner loop — iterative AI development with file-first discipline and sub-agent support

31