39 packages found
Session-Driven Development - Maintain perfect context across AI coding sessions with Claude Code
Official MCP server for Brilliant Directories — manage members, posts, leads, reviews, pages, and more from any AI agent
Self-hosted AI code review that runs in CI and posts inline comments. 12 AI providers (Claude, GPT-4o, Gemini, Ollama, …
A curated collection of high-quality prompt templates designed for Claude, focused on coding, problem-solving, productiv
One-command bootstrap for a fully wired Claude Code workstation — installs Claude Code, RTK, context-mode, code-review-g
Multi-agent code review mesh — orchestrates AI agents from multiple providers to review code in parallel, cross-review e
AI-operable research workspace for Zotero, Obsidian, and NotebookLM. Use any two, or all three, through CLI, MCP, REST,
MCP (Model Context Protocol) server that enables AI assistants to interact with Storybook design systems. Extract compon
Claude Code skill: Multi-agent adversarial review panel — 4-6 AI reviewers debate your code/plans, then a supreme judge
The TouchDesigner MCP server — describe a visual to Claude, Cursor or Codex and it builds a real, playable node network
✈️ 24-tool MCP server for Claude Code: preflight checks for your prompts, cross-service context, session history search
Self-hosted AI technical workbench. Visual, persistent, multi-stream. Development, architecture, and operational analyti
An MCP server for code reviews using OpenAI and Google models for Claude-code
A Python MCP (Model Context Protocol) server that connects Claude Desktop to GitHub Pull Requests. It fetches PR diffs,
MCP server for interacting with CodeRabbit AI reviews on GitHub pull requests
The ultimate Web3 Growth & Research MCP Server. Equip your AI agent with data to run wallet forensics for traders and DA
MCP server for bulk Spotify operations - batch playlist creation with confidence scoring, library exports, CSV imports,
Search Steam games, fetch user reviews, and analyze sentiment with topic drill-down to make informed purchasing decision
MCP Server to previewing mermaid diagrams with live reload
Code Guardian Studio – AI-powered code refactor engine for large repositories, built on Claude Code + MCP.
MCP server for searching 600,000+ CS/AI research papers with citation graphs, full text, embeddings, and BibTeX. Works w
MCP server for Science AI Journal — Pre-Check, AI Review, Research Gaps, Journal Recommender, Duplicate Publication Chec
Translation quality evaluation MCP Server powered by xCOMET (eXplainable COMET).
MCP prompt template server: hot-reload, thinking frameworks, quality gates
Local-first agentic operating system template for running one business or serious project with Codex, Claude Code, and r
SIGNAL — Agent Skills: terse structured output (tiers, templates, checkpoints), git workflow skills (commit, push, PR, r
Give Claude Code a second opinion using OpenAI Codex - automatic plan review via hooks
An engineering team in a box for Claude Code — 12 specialized agents, 15 automation hooks, and the P7/P9/P10 methodology
Claude Code skill for PaperBanana - Generate publication-quality academic diagrams with AI
Human-supervised AI code generation using Plan-Do-Check-Act methodology with TDD and refactoring. Works as Claude Code s
Planning mode for Claude Code and Cowork. Claude pauses execution, clarifies intent, and compiles a reviewable plan befo
Institutional-quality equity research reports for NSE/BSE stocks. Generate comprehensive Buy/Sell/Hold analysis with zer
A multi-agent collaborative paper writing workflow, implemented as a Claude Code skill. It orchestrates Claude Code, Ope
Spec-driven AI workflow plugin for Claude Code, OpenAI Codex, and Factory Droid. Zero-dep task tracking, worker subagent
Local multi-agent coding orchestrator with 22 pipeline roles, TDD enforcement, SonarQube integration, and automated code
Self-orchestrating multi-agent system for Claude Code — you say WHAT, the AI decides HOW. v7.1: 15 AI agents, Smart Rout
AI agent that implements your specs, opens PRs, and reviews code overnight. Queue GitHub issues or PRDs, wake up to pull
Systematic debugging — root cause analysis, bisection, memory leaks, deadlocks
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