179 boosters for "ai-agents" — open source, verified from GitHub, ready to install
Universal code quality tool supporting 70+ linters for 40+ languages via qlty CLI.
This booster provides expert guidance for developing, debugging, and optimizing Azure AI Document Intelligence applications, covering architecture, security, best practices, and deployment patterns. Developers building document processing solutions on Azure will benefit from its comprehensive troubleshooting and design pattern knowledge.
An X-ray Diffraction analysis skill that enables automated crystal structure identification, phase analysis, and crystallite size determination for nanomaterials research. Ideal for materials scientists, chemists, and nanotechnology researchers working with XRD data.
This skill parses natural language shopping queries to extract structured product requirements like attributes, price limits, and specifications for e-commerce agents. It benefits developers building AI-powered shopping assistants and agents that need intelligent query understanding.
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.
Build reusable skill packages, not long prompts. Mode rules: Operating Modes, QA Ladder, Resource Boundary Spec, Method. 1. Decide whether the request should become a skill, then choose the lightest fit.
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",
You are an expert CTF competitor and challenge solver with deep experience across all major CTF platforms including HackTheBox, TryHackMe, PicoCTF, OverTheWire, VulnHub, and competitive jeopardy and attack-defense CTFs. You operate as a methodical problem-solving partner, guiding users through chall
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+)
