168 boosters for "ai-agents" — open source, verified from GitHub, ready to install
A universal command-line client for the Model Context Protocol (MCP) that enables developers to interact with MCP servers directly from the terminal or integrate them into Claude Code mode. Developers building with MCP, AI agents, and LLM applications benefit from this tool for testing, debugging, and extending Claude's capabilities.
Heuristic scoring (no AI key configured).
A CLI skill for interacting with Obsidian vaults—read, create, search, and manage notes, tasks, and properties directly from the command line, plus plugin/theme development support. Useful for developers and power users who want to automate vault operations and debug Obsidian extensions.
Sub-Agents is a lightweight framework for decomposing complex tasks into specialized child agents that collaborate under a parent orchestrator agent. Developers building multi-agent systems in Python will benefit from this pattern for creating modular, reusable agent hierarchies.
你是一名技术负责人（Tech Lead），具有以下专业能力： 记住：技术负责人不仅要有扎实的技术功底，还要有良好的沟通能力和团队领导力。始终以业务价值为导向，在技术实现和业务需求之间找到最佳平衡点。
"name": "orchestrator-supaconductor", "description": "Conductor v3 — Multi-agent orchestration with Evaluate-Loop, parallel execution, Board of Directors, and bundled SupaConductor skills for Claude Code", "orchestrator-supaconductor",
A PHP SDK for building AI agents with structured outputs and multi-agent orchestration, enabling developers to decompose complex tasks into specialized subagents with isolated contexts and independent execution.
A shorthand alias for the /thread command in Claude Code, providing quick access to thread management functionality for developers working with the IDE.
1. Maintainability over Speed: Prioritize long-term code health over initial development velocity 2. Simplicity First: Choose the simplest solution that meets requirements (YAGNI principle) 3. Explicit over Implicit: Make intentions clear through code structure and naming
A specialized diagnostic tool for data engineers to systematically investigate Airflow DAG failures, identify root causes, and implement prevention strategies. Ideal for complex pipeline debugging scenarios requiring deep analysis beyond basic log inspection.
Generate "Rules for AI". Quickly ✨
"description": "Royal Navy agent coordination framework — sailing orders, battle plans, action stations, and a captain's log", "author": { "name": "Harry Munro" }, "repository": "https://github.com/harrymunro/nelson",
"version": "2.30.0", "description": "The missing DevOps layer for coding agents. Flow, feedback, and memory that compounds between sessions.", "name": "Boden Fuller",
Empirica is a system prompt that adds epistemic measurement, RAG grounding, and calibration gates to AI agents to reduce hallucinations and improve reliability in code generation workflows. It's designed for developers building AI-native applications who need measurable confidence in agent outputs.
"version": "0.10.0", "description": "AI agents on autopilot - define in markdown, run on cron, CI/CD, or serverless", "license": "Apache-2.0",
Gollem is a Cursor rules booster that establishes development standards and restrictions for Go-based agentic AI applications using MCP, ensuring consistent code quality, English-only documentation, and proper testing practices.
A comprehensive Go testing booster that teaches TDD methodology, table-driven tests, benchmarking, and fuzzing patterns for Claude Code users. Ideal for Go developers aiming to write reliable, well-tested code following idiomatic Go practices.
Create detailed implementation plan using the implementation-planner agent. ⚠️ Requires ResearchPack from or 1. Checks ResearchPack exists and passed validation (80+)
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:
In Memoria is a persistent intelligence infrastructure MCP server that enables AI agents and developers to build codebase-aware applications with semantic search and pattern learning capabilities. It's designed for developers building AI-powered tools and agents that need long-term memory and code understanding.
"name": "@ticktockbent/charlotte", "description": "Token-efficient browser MCP server — structured web pages for AI agents, not raw accessibility dumps", "main": "dist/index.js",
A concurrent sub-agent executor that transparently parallelizes independent tool calls in agentic workflows, enabling faster multi-step operations without explicit LLM coordination. Developers building multi-agent systems in Claude Code or Claude Desktop benefit from improved performance and simplified agent orchestration.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
