437 boosters for "agents" — open source, verified from GitHub, ready to install
"name": "director-mode-lite", "description": "Use Claude Code like a Director, not a Programmer. Complete toolkit with 26 commands, 14 agents, 31 skills, and TDD-based Auto-Loop.", "name": "Lucas Wang",
A comprehensive guide for creating and managing autonomous agents within the CrewAI framework, enabling developers to build specialized AI team members with defined roles, goals, and collaborative capabilities. Ideal for developers building multi-agent AI systems who need clear patterns for agent design and configuration.
This is a Shell/Markdown toolkit for Claude Code Director Mode. Keep shell scripts POSIX-compatible where possible. Markdown files are the primary deliverable.
Litmus spawns multiple OpenClaw subagents that experiment on your GPU overnight. Each runs on its own git branch in a shared lab repository — every experiment is a commit, agents can read each other's code, cherry-pick breakthroughs, and build on the global best at any time.
"name": "matlab-skills", "description": "A collection of agent skills for MATLAB development, including Live Script generation, unit test creation and execution, performance optimization, HTML/JavaScript app building, and digital filter design.", "name": "The MathWorks, Inc.",
"name": "@whenmoon-afk/memory-mcp", "description": "Brain-inspired memory for AI agents - MCP server", "main": "./dist/index.js",
"name": "ai-pm-copilot", "description": "PM toolkit with 15 agents, 23 skills, and 3 multi-agent team presets for solo developers and small teams", "repository": "https://github.com/slgoodrich/agents",
Parse PDF, Office (Word/PPT/Excel), and image files into clean Markdown — with LaTeX formulas, tables, images, and OCR. One zero-dependency script, two backends, No , no API key. The free Agent API handles files ≤ 10 MB / ≤ 20 pages.
A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.
Turn your AI agents into pixel-art NPCs in a retro virtual office. Watch them work, complete quests, earn XP, and chat at the water cooler. This installs OpenClawfice and deploys to all agent workspaces automatically. Then deploy to agent workspaces:
Interactive Agents enables multi-level agent communication through a stack-based model where subagents take over conversation threads interactively until completion. Developers building complex agent systems with nested tool calls and dynamic routing will benefit from this orchestration pattern.
"description": "Turn Claude Code into a persistent agent — memory, personality, voice, messaging, and more.", "name": "Juan Cristobal Andrews", "url": "https://github.com/crisandrews"
"source": "./plugins/fulcrum", "description": "Task orchestration for Claude Code",
A Cursor rules-based research agent specialized in exploring repositories, documentation, and remote codebases using Nia MCP tools without modifying files. Ideal for developers conducting deep technical research, knowledge discovery, and cross-team information handoffs.
MCP server that connects AI coding agents to the IOTA blockchain. Provides 18 tools across wallet operations, Move smart contract development, and on-chain data queries — all via stdio transport with no secrets in the MCP process. 1. Configure the MCP server in your agent's settings (Claude Code, Cu
This is the root-level SKILL.md for agentskills.io compatibility. The full skill definition is in . See Installation in the README for setup instructions.
An MCP server that integrates Mailgun's email service with AI clients like Claude, enabling automated email operations through the Model Context Protocol. Developers building AI applications that need email capabilities benefit from this integration.
atris is a self-improving context system that provides structured agent rules and workflows for AI coding assistants like Cursor, enabling developers to maintain organized task management, code navigation, and communication standards across projects.
This project includes deepsafe-scan, a preflight security scanner for AI agent environments. When the user asks to audit, scan, or check security of their AI agent setup, skills, or MCP servers, run the scanner: For a full scan with LLM analysis (if OPENAIAPIKEY is set):
Give AI agents access to money. Manage finances, trade cryptocurrency. MCP server for AI agents to interact with 20+ blockchains. 380+ tools for DeFi, DEX aggregation, security scanning, cross-chain bridges, QR payments. x402 enabled - AI agents can autonomously pay for premium APIs and trade with o
Use AskUserQuestion to ask the buyer: Tell the user the version was updated, then re-read the EVALUATION.md file from the updated directory and proceed with the skill. After the preamble, read the full evaluation methodology:
"name": "@kastalien-research/thoughtbox", "packageManager": "pnpm@9.15.4", "description": "MCP server providing cognitive enhancement tools for LLM agents: structured reasoning, mental models, and literate programming notebooks",
Subagents enable deep agents to delegate work while maintaining clean context. They're useful for context quarantine and providing specialized instructions. Subagents solve the context bloat problem. When agents use tools producing large outputs (web searches, file reads, database queries), the cont
Agents merge language models with tools to build systems capable of reasoning about tasks, deciding which tools to suit the situation, and iteratively working toward solutions. The function provides a production-ready implementation. Agents follow a loop pattern: input flows to the model, which dec
