— · no license
A set of Claude Code and GitHub Copilot plugins providing the AI Literacy framework's complete development workflow — harness engineering, agent orchestration, literate programming, CUPID code review, and the three enforcement loops
— · MIT
Claude Code plugin for building LLM-maintained Obsidian wikis from raw research — compile, query, lint, and evolve your personal knowledge base. Inspired by Karpathy's knowledge base workflow.
v3.0.0 · MIT
Plan iron, verify real. Claude Code plugin: ironclad planning with independent verification chain. Turns any input into bulletproof plans, executes with TDD, verifies with agents that never saw the executor's work.
v3.1.0 · MIT
Reverse engineer anything with agents, from app behavior down to native binaries.
— · Apache-2.0
Ghidra MCP Server — 200+ MCP tools for AI-powered reverse engineering. GUI plugin + headless server, lazy tool loading, convention enforcement, batch operations, Ghidra Server integration, and Docker deployment.
v2.8.0 · MIT
frontend-craft is a universal frontend plugin that brings the same opinionated engineering standards to all 15 AI coding assistants.
v1.33.0 · MIT
Claude Code plugin for structured, AI-driven software development. Orchestrates complex workflows -- from issue assessment to staged implementation to review and merge -- giving developers the speed of full automation with the control of human-in-the-loop checkpoints.
v1.1.2 · no license
Claude Code plugin that stops "almost done" loops — declare your stages in workflow.json, runs them as a state machine that auto-retries until quick tests, code review, and journey tests all pass. Live web viewer + cross-machine resume + templates hub.
v1.2.0 · MIT
SE-CoVe: Software Engineering Chain-of-Verification plugin for Claude Code
v9.66.1 · MIT
Run multiple AI models against the same research, design, or coding task. Surface disagreements before you ship.
— · MIT
Development workflows for Claude Code that keep broad exploration focused on the outcome you approved.
v0.9.2 · Apache-2.0
A local detector for AI-writing patterns. Scores every prose file your agent saves. Python standard library only, no network, no model.
v3.0.0 · Apache-2.0
Senior-developer discipline for AI coding agents. A commit gate that counts unchecked as failing, quality controllers that refuse to call unfinished work done, and a lessons loop that closes each escaped bug's class. One Go binary, no runtime deps, works with 20+ agents.
v0.15.0 · MIT
Open-source Agent Skills for Claude Code and Codex: ship-DAG orchestration, A-F code review, AI evals, CI gates, design, copy, SEO/AEO/GEO, Instagram growth, app shipping, creator rights, and consumer recovery.
v3.14.1 · MIT
Ask Codex, Gemini, Grok, and 400+ OpenRouter models (Qwen, Kimi, DeepSeek) for second opinions or arbiter-mediated consensus. One MCP server for Claude Code, Codex, Cursor, Kiro, OpenCode. Measures which models earn their seat.
— · 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
v0.1.0 · MIT
Multi-agent codebase review for PRs, CI, and downstream fork syncs.
v1.1.13 · MIT
The linter for your agent harness. Works with Claude Code, Codex, and Cursor.
v0.3.18 · Apache-2.0
:star: AI-assisted development workflow that produces understanding alongside code. Teach, capture decisions, document, assemble reviews.
v0.4.3 · MIT
Hire Google's Antigravity CLI (agy) as a fast Gemini staffer for Claude Code and OpenAI Codex.
— · MIT
Portable skills, agents, hooks, and Pi extensions for Claude Code, Codex CLI, Copilot, Cursor, Grok, and Pi.
— · MIT
AI-powered development tools. 19 agents, 22 commands, 32 skills, 1 hook, 1 MCP server for code review, research, design, and workflow automation.
v1.6.0 · MIT
Claude Code skill that delegates implementation to GPT-5.6 Sol via Codex CLI, Claude plans and reviews the diff, Sol writes the code. Multi-model AI coding where the model that wrote the diff never grades it.