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.

The fastest workflow for every AI coding agent. Live status, quick prompts, worktrees, and diff review from one tmux TUI.

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.

Agent skills distilled from the hard-won lessons of world-renowned programmers, in the spirit of "97 Things Every Programmer Should Know"

SE-CoVe: Software Engineering Chain-of-Verification plugin for Claude Code

Multi-model AI code review server using OpenRouter - get diverse perspectives from multiple LLMs in parallel

Cross-platform toolkit to enhance Claude Code with multi-LLM consensus, 8 specialist agents, semantic knowledge search, and one-command install.

A local detector for AI-writing patterns. Scores every prose file your agent saves. Python standard library only, no network, no model.

Linter for AI agent configurations. Validates SKILL.md, CLAUDE.md, hooks, MCP, and more.

The linter for your agent harness. Works with Claude Code, Codex, and Cursor.

Your AI can write the UI. This makes sure it writes your UI. A deterministic scanner scores your design system 0-100 against 34 public repos, writes rules for Claude, Cursor, Copilot and Windsurf with --apply, and runs as a local MCP server with --mcp.

Reverse engineer anything with agents, from app behavior down to native binaries.

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.

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.

Full-cycle delivery pipeline for coding agents: a mandatory built-in intake grill, then 10 gated stages (docs, brainstorm+decompose, spec, plan, build, tests, lint/deploy, post-deploy, docs/wiki, acceptance). Every stage's doctrine ships inside the skill

Lint your AI agent context files, MCP server configs, and session data against your actual codebase

Reverse engineer anything with agents, from app behavior down to native binaries.

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Official SonarQube MCP Server for code quality and security in AI agents

MCP server that runs CLI AI coding agents (Claude Code, Codex, opencode, Antigravity) as sub-agents from any MCP client, with background sessions and structured code review

Local code intelligence MCP server and CLI for AI coding agents

Enables AI agents to perform read-only static analysis of Node.js backend projects, detecting database query anti-patterns, async bottlenecks, connection pooling mistakes, and dependency hygiene issues while returning structured evidence-backed findings.

ProMentor 是一个 AI Coding Agent Skill。装上它，你的 AI 编程助手立刻化身为导师——扫描项目架构、生成阶梯式 Chapter、带你手写核心逻辑、自动判题、AI Code Review。