Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.
54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.
CLI-first orchestration for AI coding agents: run selected agents and models in parallel, compare raw answers, and coordinate review or implementation workflows.
Gerrit Code Review Tool Integration for the IntelliJ Platform
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 commands, 246 MCP tools, change-safety gates, audit evidence, zero API keys.
Multi-harness control plane for Claude Code, Codex, Cursor, and OpenCode: quota-aware rotation across multiple Claude/Codex subscriptions, shared thread context, and cross-model review.
Architect-centric agentic swarm plugin for OpenCode. Hub-and-spoke orchestration with SME consultation, code generation, and QA review.
Sno Station Skills: 31 tested skills that turn Claude Code and Codex into one working team. Cross-vendor peer review, automatic handoff when an agent hits its quota, a one-page morning brief, work orders with proof, and a nightly loop that learns from your own sessions. Open source, installed with one sno setup.
Autonomous AI dev-team bot
Semantic code linting with Decision Models
From ticket to reviewed pull request. Free and open-source, on your machine.
A Herdr client for any screen. Control terminals, monitor coding agents, and review files and diffs from desktop or mobile.
A focused GitHub desktop workspace for notifications, issues, pull requests, Actions, repository discovery, and an optional repository-aware agent.
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
Local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev.
Autonomous development for real products. Governed agents build from specs you approve, follow the rules you set, and nothing merges until another agent proves it. Your decisions, judgement and taste are the bar that work must clear. Declare your vision and let agents build it.
Local-first, auditable multi-agent control room for coding, review, evidence, and private remote work.
Second-model AI auto-review for DeepSeek Harness approval requests: a read-only reviewer subagent returns structured allow/deny verdicts with reasons, fail-closed by default, fully auditable from the session log (approval/asked -> autoReview/verdict -> approval/decided).
codexqa: 11 local-first Agent Skills for Cursor, Claude Code, Codex & OpenClaw — change impact analysis, AI code review, defect scan, testcase generation, browser replay & RCA.
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.
Walk through a diff the way a senior engineer reads it. A read-only TUI that turns a git change into a guided tour.
👁️ Review AI generated code and plan changes
A keyboard-first diff viewer with LSP support and GitHub integration.
Claim-Driven Development: turn software intent into verifiable evidence.
A persistent incremental diff review loop for pi
Two-model debate review of PRs and MRs, plus a babysitter that works the review rounds. Skills for any coding agent.
Review agent-authored changes in hunk from herdr and send inline comments back to the responsible agent.
Review behavior, not just diffs. Jev prioritizes human attention; OpenAI explains the changes. Local CLI + agent skill + GitHub extension.
带 AI 精读大型开源仓库的方法论:四阶段流程、可复用模板、28 条踩坑清单,核心是让每个技术论断都可回溯到源码具体行
Quality gate for AI/Codex-generated pull requests: blocks TODO leftovers, leaked secrets, sloppy commits and red CI before they reach main.
Click any React UI element, jump to its exact JSX/TSX source, inspect proven API data flow, and prepare reviewable AI patches. Local-first and development-only.
Agent Skill for complex work: research before asking, ask before planning, plan before building, verify before delivering, independent review before calling it done. Plain text, no runtime.
Cheaper and better Greptile alternative runs on your own github actions.
Explains GitHub PRs in a human-friendly way, using LLMs.
AI-powered CLI for reviewing GitHub pull requests, detecting potential bugs, security risks, regressions, and missing tests, with structured Markdown reports for open-source maintainers.
AI-Powered Code Review and Quality Analysis Tool
AI coding agent workspace for macOS, built on Zed and pi. Native code editing and review, browser use, computer use, and global agent access controls.
Multi-agent code review, supervised and auditable
Rules and checks that make Claude Code look around a change, not just at the lines it writes: ten questions before code, a reviewer that didn't write it, proof before done, bugs fixed as a class.
Native Markdown reader for macOS. Keep it open while you write and it follows every save. Comment on a phrase and the note is saved into the .md file itself. Your coding agent can open a plan here and wait while you mark it up.
Unofficial Factory Droid integration for VS Code and Cursor, with coding chat, code review, BYOK models, and independent code completion.
Self-hosted Git server for home labs and local machines
Salesforce DX code review: Apex, LWC, Flows, security (CRUD/FLS), governors, and Bugbot.
Code Reviewer
Production-grade Agent Skills for AI coding agents—composable workflows for planning, TDD, debugging, review, UI/UX, releases, incidents, and evals.
Agents can work. They cannot declare success. A governed coordination protocol for multi-agent AI work: eight contracts (task, resource, ownership, handoff, verification, evidence, approval, recovery) enforced in code, plus a reproducible conformance benchmark. Apache-2.0 code, CC BY 4.0 specification, zero dependencies, Node 18+.
The review companion that knows what you look for: ranks the PRs waiting on you, shows what the diff doesn't, and learns how you review. Runs on your machine.
Turn a security or performance exposure into a reviewable decision
Verifiable multi-agent patch evaluation infrastructure
Evidence-based code review skills for Codex and Claude Code
Structural overview of a repository: every non-ignored file as a read-only panel on a zoomable canvas
Record your screen, narrate the bug, and hand your AI coding agent structured Markdown - one annotated screenshot per mark. Desktop app, CLI, and MCP server for Claude Code, Cursor, Codex, and Windsurf. On-device Whisper transcription, local-first, MIT.
Code review via the change impact measure
ReviewBench is an open, reproducible benchmark for evaluating AI code review systems on real-world pull requests.
AI-native SDLC skills for Claude Code: requirement intake & audit, adversarial review gate, AI test orchestration, decision re-check, release config audit
34 个核心 Demo + 3 个附录,覆盖前端工程化全链路:pnpm/Vite/ESLint/Husky、分包懒加载、CI/CD、Vitest/Playwright、性能监控、请求池/重试、Service Worker、AI 辅助 PR Review、知识图谱可视化、VS Code 插件与 Agent 自动修复。Vue 3 + TS + Vite + pnpm 实战。等核心工程化能力。每个 Demo 都可运行、可验证、有踩坑记录。适合有一定前端基础的工程师步步为营的进阶学习与团队基建参考。
A local review board for work an agent wants a human to look at — agent publishes, you annotate in the browser, feedback flows back as JSON.
Repository retrieval and context engine for Claude Code and Codex: finds relevant code, reuses project knowledge, and pairs each task with specialist skills and verification.
One self-contained AGENTS.md with shared rules for AI coding agents: Claude Code, OpenAI Codex, Gemini, Cursor Agent, and more.
Make Claude the manager, not the coder: one skill that hands work to cheaper AI CLIs, verifies the results, and gets a second vendor to review.