786 boosters for "agent" — open source, verified from GitHub, ready to install
A system prompt for training AI agents on terminal/coding tasks using GRPO, enabling autonomous task completion in containerized Linux environments. Ideal for developers building advanced AI coding assistants and automation systems.
"description": "Open-source cross-agent memory layer for coding agents across Cursor, Claude Code, Codex, Windsurf, Gemini CLI, Copilot, Kiro, OpenCode, Antigravity, and Trae via MCP.", "sideEffects": false, "memorix": "./dist/cli/index.js"
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.
This Cursor rule guides developers to use Bun as their default runtime and build tool, replacing Node.js, npm, and common libraries with Bun's native equivalents. Ideal for agents and indie developers building with Cursor who want to standardize on Bun's faster, integrated toolchain.
LC-StudyLab provides Cursor IDE rules and documentation links for LangChain v1.0, enabling developers to quickly reference core components and advanced features while coding with LangChain's full ecosystem.
"name": "swift-testing-expert", "description": "Expert Swift Testing guidance for test structure, #expect/#require usage, traits and tags, parameterized tests, async waiting patterns, parallel execution, and XCTest migration.", "name": "Antoine van der Lee",
"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.
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.
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.
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.
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.
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
"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.
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.
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.
