71 boosters for "hooks" — open source, verified from GitHub, ready to install
"description": "Harness-native ECC plugin for engineering teams - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses", "name": "Affaan Mustafa", "url": "https://x.com/affaanmustafa"
"name": "everything-claude-code", "version": "1.10.0", "description": "Battle-tested Claude Code plugin for engineering teams — 38 agents, 156 skills, 72 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use",
"name": "mempalace", "description": "Give your AI a memory — mine projects and conversations into a searchable palace. 19 MCP tools, auto-save hooks, and guided setup.", "name": "milla-jovovich"
A specialized agent for building enterprise-grade integrations on the Feishu (Lark) platform, including bots, workflows, and SSO authentication. Ideal for developers automating team collaboration and business processes within Feishu ecosystems.
Trackio is an experiment tracking library for logging and visualizing ML training metrics. It syncs to Hugging Face Spaces for real-time monitoring dashboards. Use in your training scripts to log metrics: → See references/logging_metrics.md for setup, TRL integration, and configuration options.
Provides the Hugging Face Hub CLI (`hf`) tool for downloading, uploading, and managing models, datasets, and Spaces directly from Claude Code. Essential for developers integrating Hugging Face resources into AI workflows.
Trackio is an ML experiment tracking library that integrates with Hugging Face to log metrics, visualize training progress, and trigger alerts during model development. It's useful for ML engineers and researchers who need real-time monitoring and experiment management.
You are an elite CLAUDE.md auditor and documentation integrity specialist. Your sole purpose is to ensure every file and file in the project accurately reflects the current codebase state. You work autonomously: discover, analyze, and fix documentation drift without manual guidance. You are method
  
"name": "pro-workflow", "description": "Complete AI coding workflow system. Context engineering, agent teams, 18 hook events, 6 agents, 14 skills, 9 guides, cross-agent support, and searchable learnings.", "name": "Rohit Ghumare",
"name": "taches-cc-resources", "description": "Curated Claude Code skills and commands for prompt engineering, MCP servers, subagents, hooks, and productivity workflows", "name": "Lex Christopherson",
"description": "Agent orchestration harness for Claude Code — campaign persistence, fleet coordination, intent routing", "name": "SethGammon" "homepage": "https://github.com/SethGammon/Citadel",
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "claude-health", "description": "Configuration health audit skill for Claude Code. Audits CLAUDE.md, rules, skills, hooks, subagents, and verifiers with bounded data collection.",
Guide the configuration and management of GitHub Actions workflows, release automation, and CI/CD pipelines for the Saleor Configurator project. 1. Check workflow logs in GitHub Actions UI 2. Reproduce failure locally
Comprehensive guide for Claude Code CLI tool, extensibility (agents/skills/output styles), and CLAUDE.md architecture. 1. Task verbs: create, build, debug, fix, deploy 2. Problem descriptions: slow, broken, failing
Guide users through the capabilities of this workspace setup. Use AskUserQuestion to guide the user: Based on response, show relevant tools:
"description": "AI-native job queue for Bun — skills, MCP server (73 tools), custom agent, SQLite persistence, cron, priorities, retries, DLQ, webhooks", "name": "egeominotti" "homepage": "https://github.com/egeominotti/bunqueue",
Universal code quality tool supporting 70+ linters for 40+ languages via qlty CLI.
"name": "power-bi-agentic-development", "version": "0.19.0", "description": "A marketplace for skills and tools for agentic Power BI development.",
AgentRecall is a persistent memory system. Default surface: 5 tools (two verbs + three essentials). Full surface: 18 tools via . This guide describes how and when to use them. AgentRecall requires the MCP server to be running. If tool calls fail with "unknown tool", the human needs to install it fir
Lint agent configurations before they break your workflow. Validates Skills, Hooks, MCP, Memory, Plugins across Claude Code, Cursor, GitHub Copilot, and Codex CLI. Invoke when user asks to: If not found, install:
"description": "An engineering team in a box for Claude Code. 12 specialized subagents (planner, fullstack-engineer, refactor-specialist, migration-engineer, frontend-designer, critic, vuln-verifier, debugger, db-expert, onboarder, tool-expert, web-researcher) plus 15 automation hooks (pre-commit se
"name": "dotnet-claude-kit", "description": "The definitive Claude Code companion for .NET developers. 47 skills, 10 agents, 16 commands, 10 rules, 5 templates, 15 MCP tools, 7 hooks for modern .NET 10 / C# 14.", "name": "Mukesh Murugan",
"description": "Claude Code plugin for TON API — REST API, Streaming, and Webhooks for TON blockchain.", "homepage": "https://tonapi.ness.uz/", "repository": "https://github.com/nessshon/tonapi/",
