341 boosters for "agents" — open source, verified from GitHub, ready to install
A guide for creating specialist AI agents within the Lobster AI framework, with domain-specific tools and package structure. Useful for developers building multi-agent systems on clawhub.
  
"description": "Agent Team & Skill Architect — Meta-skill that designs agent teams, defines specialized agents, and generates skills for your domain/project. 도메인/프로젝트에 맞는 하네스를 구성하고, 전문 에이전트를 정의하며, 에이전트가 사용할 스킬을 생성하는 메타 스킬.", "url": "https://github.com/revfactory" "homepage": "https://github.com/revf
"name": "taches-cc-resources", "description": "Curated Claude Code skills and commands for prompt engineering, MCP servers, subagents, hooks, and productivity workflows", "name": "Lex Christopherson",
ClawdChat is a skill for deep analysis of Moltbook (an AI agents social network) that extracts and visualizes core problems and solutions discussed by AI agents. It's useful for AI community members and researchers seeking to understand collective intelligence patterns in AI agent discussions.
Agent Identity provides cryptographic on-chain identity registration and verification for AI agents, enabling them to prove authenticity across platforms by staking USDC. Useful for AI developers building multi-platform agents who need trustless identity verification.
Agent Toolkit MCP Server enables AI agents to integrate Clerk authentication into applications across multiple frameworks (Next.js, Express, React, etc.). Developers building AI-powered apps that need secure user authentication and session management benefit most from this toolkit.
Swarm Agents is a production-oriented multi-agent orchestration framework that enables persistent, autonomous agents to coordinate through peer-to-peer messaging and shared workspaces, supporting complex task decomposition and dynamic agent spawning. It benefits developers building sophisticated multi-agent AI systems who need robust orchestration, convergence detection, and supervisor-based monitoring.
AgentDock Cursor Rules is a framework guide that establishes architectural principles and coding conventions for building AI agents using TypeScript in Cursor. It benefits developers creating complex, configurable AI-powered applications who need clear structure and best practices.
CypherFix is an AI agent framework that automates vulnerability detection, triage, and code remediation by analyzing attack surfaces and automatically generating pull request fixes. Security teams and developers benefit from reduced manual pentesting overhead and faster vulnerability remediation cycles.
A hands-on course teaching developers how to build AI-powered agents using Foundry Local with modern SDK patterns, function calling, and hybrid cloud designs. Benefits beginners and intermediate developers wanting to prototype agentic applications quickly on edge devices.
"name": "edmunds-claude-code", "description": "Edmund's personal Claude Code setup with 14 productivity commands and 11 specialized AI agents for modern web development", "path": ".claude/commands/new-task.md",
Claw Compactor is a 6-layer token compression skill for OpenClaw agents that reduces workspace token spend by 50–97% through deterministic rules and an LLM-driven memory system called Engram. It's designed for developers building token-efficient AI agents who need automatic cost optimization at session start.
Apify MCP Server enables Claude to interact with Apify's web scraping and automation platform through the Model Context Protocol, allowing AI agents to run actors, manage tasks, and extract data from websites programmatically.
A system prompt that enables AI agents to automate browser tasks by navigating websites, extracting data, and performing interactive actions across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). Ideal for developers and AI engineers building autonomous web automation workflows.
Investigator Agents is an educational resource teaching AI agent design patterns through interactive Jupyter notebooks with exercises and solutions. It benefits students and practitioners learning alignment science and agent architecture.
Automates the discovery, fixing, and PR management of GitHub issues by spawning sub-agents to implement solutions and handle code reviews. Developers working on active repositories benefit from reduced manual triage and implementation overhead.
template: scoreinteractivesystem_prompt role: system prompt for interactive planning mode vars: hasWorkflowPreview, workflowStructure, stepDetails, hasRunSession, runTask, runWorkflow, runStatus, runStepLogs, runReports
"name": "claude-reflect", "description": "Self-learning system for Claude Code that captures corrections and updates CLAUDE.md automatically", "name": "Bayram Annakov",
Heuristic scoring (no AI key configured).
AGENTS.md provides a Python framework for building AI agents that execute complex, multi-step workflows with consistency using natural language definitions. Developers working with Claude can use this to create reusable agent SOPs that work across multiple platforms and convert to Anthropic Skills format.
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "sentrux-marketplace", "description": "Sentrux — live codebase visualization and structural quality gate for AI-agent-written code",
TAKT is a system prompt for coordinating multi-agent AI workflows with human intervention checkpoints, enabling developers to define agent orchestration topologies and retry logic in YAML. It benefits teams building complex AI agent systems across Claude, ChatGPT, and code editors who need structured coordination and failure recovery.
"name": "dotnet-skills", "description": "Comprehensive .NET development skills and agents for Claude Code - covering C#, F#, Akka.NET, Aspire, testing frameworks, and specialized tools", "name": "Aaron Stannard",
