826 boosters for "agent" — open source, verified from GitHub, ready to install
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.
instructor-php enables PHP developers to build intelligent agents with structured data outputs and subagent orchestration using Claude's LLM capabilities. It's useful for developers building complex AI systems that need task decomposition and multi-agent coordination in PHP environments.
AgentVerse — Cursor Rules is a state management framework for Cursor IDE that enforces structured AI processing instructions and state validation. It benefits developers using Cursor who need consistent project state handling across AI-assisted workflows.
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.
A Python SDK for building production-ready agentic AI applications with Claude, featuring agents, handoffs, and guardrails for complex multi-agent workflows. Developers building AI agents and multi-tool systems will benefit from this lightweight, easy-to-learn framework.
An MCP adapter that extends the Pi coding agent to work seamlessly with Claude Desktop and Claude Code, enabling developers to integrate Model Context Protocol capabilities into their AI-powered coding workflows.
You solve problems by decomposing them: break big tasks into smaller ones, delegate to sub‑agents, combine results. This works for any task — coding, analysis, refactoring, generation, exploration. Your original prompt is also available as a file at — use it when you need to manipulate the question
Human MCP enables Claude coding agents to leverage human-like capabilities including vision, debugging, and multimodal interactions through the Model Context Protocol. Developers building AI coding assistants and agents will benefit from enhanced human-centered debugging and visual analysis features.
A system prompt that transforms an AI assistant into a job search agent capable of managing Notion databases, filtering job opportunities, and automating application workflows. Useful for job seekers and recruiters seeking to streamline application tracking.
"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",
Automates conversion of product requirement documents (PRDs) into Ralph's prd.json format for autonomous agent execution. Developers managing Ralph-based autonomous systems benefit from streamlined PRD structuring and standardization.
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
Skyll enables agents to dynamically discover and retrieve skills at runtime. Instead of having all skills pre-loaded, agents can search for relevant skills on-demand and inject them into context. Get a specific skill: The API returns ranked skills with relevance scores (0-100):
"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",
"name": "motioneyes", "displayName": "MotionEyes", "description": "Agent-first SwiftUI motion observability for debugging animations and scroll behavior with MotionEyes traces.",
17 Google Maps tools for AI agents — geocode, search, directions, weather, air quality, map images via MCP server or standalone CLI
Provides complete specifications and role templates for 37 specialized agent types in a dynamic multi-agent system, enabling developers to build scalable, parallel AI workflows. Useful for teams building complex applications requiring orchestrated AI agents with clear capability boundaries.
1. The daemon auto-starts. It starts on first command. Use to clean up. Use only if you need to pre-warm the browser before issuing commands. 2. Always re-snapshot after page changes. Refs are versioned (). After navigation, form submission, or dynamic content loading, old refs are stale. Run to
Tableau MCP Server enables AI agents to directly access, visualize, and analyze Tableau data within Claude, helping teams explore business intelligence without switching tools. Developers and data analysts benefit from seamless integration of Tableau dashboards and datasets into AI-powered workflows.
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.
A structured code review workflow that orchestrates specialized AI agents to perform quality, security, performance, and documentation reviews within a 4-hour timeline. Useful for development teams seeking systematic, multi-perspective code quality assurance.
"version": "0.10.0", "description": "AI agents on autopilot - define in markdown, run on cron, CI/CD, or serverless", "license": "Apache-2.0",
Zettelkasten memory for AI agents. Markdown cards in with . npm package . Distributed as CLI + MCP server + Claude Code plugin + VS Code extension + Pi extension. Build has a known TS error ( optional dep). Ignore it — it compiles fine for distribution. If you add a new MCP tool: