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Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
orchestrate-batch-refactor
Plan and execute large refactor efforts with parallel multi-agent analysis. Use when: refactoring many files, splitting workstreams, or coordinating sub-agents for batch code changes.
review-swarm
Parallel read-only multi-agent code review of git diffs. Use when: reviewing diffs for regressions, security risks, performance issues, or wanting a parallel review swarm.
smolagents
You are an expert in smolagents, Hugging Face's minimalist agent framework. You help developers build AI agents that write and execute Python code to solve tasks, use tools from the Hugging Face Hub,
squad-agents
Build AI agent teams that collaborate on projects using Squad framework. Use when: orchestrating multiple specialized agents, building collaborative AI workflows, delegating complex tasks across agent
swarm-intelligence
Build swarm intelligence systems where multiple AI agents collaborate to make predictions and solve complex problems. Use when: implementing ensemble AI predictions, building consensus-based decision
trading-agents
Build multi-agent LLM trading systems for financial analysis and automated trading decisions. Use when: building AI-powered investment research, automating financial analysis pipelines, creating multi
maple
MAPLE AI Development Squad — install the full skill set for multi-agent development workflows: pipeline-runner, tdd-workflow, playwright-cli, github-cli, mermaid-diagrams, and more. Designed for Claud
ntm-test-coverage
Audit and expand test coverage with comprehensive logging
grok-swarms
Use when orchestrating complex multi-agent projects. A Grok 4.3 orchestrator plans with the human then dispatches swarms of optimal Grok executors in isolated TMUX sessions using native Hermes kanban
lambda-lang
Native agent-to-agent language for compact multi-agent messaging. A shared tongue agents speak directly, not a translation layer. 340+ atoms across 7 domains; 3x smaller than natural language.
agentchat
Real-time agent-to-agent communication via the AgentChat WebSocket protocol. Connect to AgentChat servers, join channels, send and receive messages, and coordinate with other agents.
octoclaw
OctoClaw is the TypeScript-first policy, delegation, status, and operator layer for OpenClaw. Use it when a turn should be routed through reply/delegate policy, WorkContract-backed delegation, runtime
agentic-jujutsu
Use when multiple agents need to write to the same repo concurrently without file-lock stalls — applies claim-before-write, parallel branch fan-out, and semantic 3-way merge to achieve ~87% auto-confl
agent-orchestrator
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
agent-orchestrator
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
agent-orchestrator
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
agent-orchestrator
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
agent-orchestrator
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
multi-advisor
Conselho de especialistas — consulta multiplos agentes do ecossistema em paralelo para analise multi-perspectiva de qualquer topico. Ativa personas, especialistas e agentes tecnicos simultaneamente, c
moai-foundation-context
Enterprise context and session management with token budget optimization and state persistence
moai-foundation-context
Enterprise context and session management with token budget optimization and state persistence
multi-agent-architect
Design and optimize production-grade multi-agent systems with LangGraph, LangChain, and DeepAgents for complex AI workflows.
stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
crewai-multi-agent
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with
Find
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Rate and publish
Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.
Prefer the terminal? osr stack apply registry://starter installs the starter template.