— · Apache-2.0
Claude Code plugin: delegate to Codex, Gemini, Cursor, GitHub Copilot, and Qwen CLIs via their native protocols (ACP, ASP). Use /gemini:research, /cursor:debug, /codex:execute, /copilot:review and more — Claude can also auto-dispatch.
v1.22.0 · MIT
Mission control for AI coding agents - run 20 autonomous agents with real-time monitoring and session persistence
v5.150.0 · Apache-2.0
Open-source coding-agent harness you can actually change — own the loop (prompts, gates, routing, skills, terminal states), use any model, run long tasks while you're away.
v2.1.0 · MIT
Use Claude Code like a Director, not a Programmer. MIT toolkit with Auto-Loop, guided setup, 27 commands, 14 agents, and 32 skills.
— · Apache-2.0
Agent Skills marketplace: framework-aware skills for code review, documentation, test-plan generation, AI-writing detection, architectural analysis, and git workflows — for Python, Go, Rust, Elixir, React, Remix, and iOS/Swift. Works with Claude Code, Codex, and any agent that supports Agent Skills.
v3.6.1 · MIT
Primes your project for peak Claude Code performance
— · MIT
Claude Code skills plugin for Git, GitHub, and skill authoring workflows
v2.0.0 · MIT
Claude Code hooks that auto-switch model tier based on task complexity
v0.20.0 · MIT
Idea-to-store harness for Flutter/Flame games
v5.1.0 · MIT
You say it. AutoCode ships it. 48 skills. Code to deployment in one session. I-Lang v5.0 judgment + secret-safe deploys. Free forever.
v3.79.0 · MIT
Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and context across sessions. Hybrid FTS5 + TF-IDF search with episode batching. Single SQLite DB, no external services. Alternative to claude-mem with 600x lower cost.
v2.4.2 · MIT
A Claude Code plugin whose workshop of expert agents learns as it builds: repeated fixes become permanent rules, loved tweaks become taste it remembers - and every change waits behind a write gate you control.
— · MIT
Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence
v3.22.0 · MIT
Loop engineering for AI coding agents — turn ad-hoc sessions into a repeatable research → plan → wave-execute → close loop with verification gates. Runs on Claude Code, Codex CLI, Cursor, and Pi. MIT community plugin.
v2.0.2 · MIT
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
v0.2.0 · MIT
Turn a one-line idea into a branch with tested, reviewed, committed code. The brainstorm-to-commit pipeline for Claude Code.
v0.13.0 · MIT
Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.
v0.1.16 · Apache-2.0
Claude Code Plugins for AI Native-based Engineer
v2.32.1 · MIT
Universal provider proxy for OpenAI Codex & Claude Code — use any LLM with Codex CLI/App/SDK and Claude Code
— · MIT
🤫 Token-lean sessions at the harness level. An easy to grasp output style, output-shrinking hooks, and log compression cut both input and output tokens.
v0.11.0 · MIT
Session memory for Claude Code. Auto-captures every session into a plain Obsidian markdown vault. Zero config. MIT. macOS + Linux.
v0.1.4 · MIT
Fable-style verification gate for Claude Code: don't say done until it's verified. Port of the Codex plugin by Agent Korea (플라잉따릉이).
v0.2.0 · MIT
Sync your Claude Code brain across machines — memory, skills, agents, rules, and settings with intelligent semantic merge. Git-based, auto-sync hooks.
v1.2.1 · MIT
Eco mode for Claude Code. /eco: -31% to -73% output tokens with critical findings intact; /eco-max: up to -75% with lowered effort. Measured hardest on Claude Fable 5 (fable5), deep-studied on Sonnet 5, works on Opus 4.8 too. We publish our negative results. 82 raw benchmark runs.