13 boosters for "coding-agent" — open source, verified from GitHub, ready to install
You are a code review specialist. Analyze the given code for: 1. Code quality issues 3. Style inconsistencies
An MCP adapter that extends the Pi coding agent to work seamlessly with Claude Desktop and Claude Code, enabling developers to integrate Model Context Protocol capabilities into their AI-powered coding workflows.
Memelord is a persistent memory system for AI coding agents that uses vector search and reinforcement learning to help agents learn from past interactions. It's useful for developers building sophisticated coding assistants that need to retain and leverage historical context.
"name": "open-plan-annotator", "description": "Interactive plan annotation UI: review, strikethrough, and comment on Claude's plans before approving. Fully local, no external services.", "homepage": "https://github.com/ndom91/open-plan-annotator",
"name": "programming-as-theory-building-skill", "description": "Programming as Theory Building guidelines for coding agents, grounded in Peter Naur's paper and focused on preserving program theory during code work.", "name": "Programming as Theory Building Skill contributors"
Execute verbatim. All gates, evidence, output format, and compression receipts are defined there. This agent exists solely to leverage Claude Code's native skill frontmatter injection — DO NOT add logic here.
Displays current project status for zcc (Claude Code) projects by listing active tickets, available modes, workflows, and configuration. Useful for developers managing zcc-based coding projects who need quick visibility into their project state.
A Node.js MCP server that executes JavaScript code safely in isolated Docker containers with on-demand npm dependency installation. Developers and AI agents benefit from secure, sandboxed code execution capabilities integrated into Claude.
Node Code Sandbox MCP enables AI agents and LLMs to safely execute JavaScript code, install npm packages, and test implementations in real-time. Developers building coding assistants, automated testing tools, and interactive AI applications benefit from this secure, MCP-compliant execution environment.
