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AI Agent Orchestration & Collaboration

About AI Agent Orchestration & Collaboration

This domain builds and manages efficient AI agent systems, orchestrating multiple agents for complex task automation and collaboration. It covers multi-agent scheduling, task decomposition, parallel processing, and workflow automation. Skills involve frameworks like Mastra, Genkit, structured autonomy planning, and LangGraph. Ideal for AI engineers, developers, and DevOps to optimize AI-driven development and build scalable agent applications.

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All AI Agent Orchestration & Collaboration Skills

50 / 113 skills
multi-agent-systems

subagent-driven-development

by @obra

Proficiency in driving software development processes by coordinating multiple sub-agents, enabling AI coding agents to decompose complex tasks, process them in parallel, and improve development efficiency and system modularity.

4.7(1.3K)
80.2K
parallel-processing

dispatching-parallel-agents

by @obra

Ability to effectively dispatch and manage multiple parallel AI agents to collaboratively complete complex tasks, optimize resource utilization, and significantly enhance the execution efficiency of AI engineering projects.

4.7(1.2K)
72.8K
ai-agents

agentix-ceo

by @agentix-cloud

As a CEO orchestrator, manage a team of AI workers via the Agentix platform, with workers running ephemeral tasks on Modal.

4.6(7)
19.5K
mastra-ai

mastra

by @mastra-ai

Provide a comprehensive guide to the Mastra framework, teaching how to find documentation, validate API signatures, and build agents and workflows.

4.6(317)
17.2K
google-cloud

gstack

by @garrytan

Garry Tan's (Y Combinator CEO) Claude Code toolkit — 23 opinionated slash commands acting as CEO, Designer, Eng Manager, QA, Release Engineer, etc. — turning Claude Code into a virtual engineering team so one person can ship like twenty.

4.5(200)
11.9K
ai-engineering

ohmg

by @supercent-io

This skill is a multi-agent orchestrator used to coordinate complex cross-domain projects and parallelize tasks among multiple AI agents (e.g., product managers, frontend, backend).

4.5(416)
10.4K
ai-engineering

omc

by @supercent-io

This skill is a multi-agent orchestrator for Claude Code, providing team-first multi-agent collaboration capabilities, supporting intelligent orchestration with 32 specialized agents.

4.5(416)
10.4K
ai-engineering

jeo

by @supercent-io

This skill provides unified integrated agent orchestration capabilities, supporting fully automated, UI-reviewed agent workflows applicable across various platforms.

4.5(415)
10.4K
agentic-ai

agentic-workflow

by @supercent-io

This skill is used to optimize daily AI agent workflows, integrate Git/GitHub workflows, utilize MCP servers, and manage and restore sessions, enhancing agent efficiency.

4.5(406)
10.1K
code-generation

oh-my-codex

by @supercent-io

This skill is a multi-agent orchestrator for OpenAI Codex CLI, coordinating complex AI multi-agent workflows and supporting parallel team collaboration.

4.5(400)
10.0K
ai-agents

agentation

by @benjitaylor

Set up the Agentation annotation toolbar in Next.js projects, providing visual feedback to enhance the development experience.

4.5(230)
9.4K
ai-agent-management

agent-governance

by @github

Add patterns and techniques for governance, security, and trust controls to AI agent systems, suitable for building AI agents that call external services.

4.5(296)
8.9K
ai-autonomy

structured-autonomy-plan

by @github

Provide structured autonomy planning prompts to help users design detailed development plans. (AI Agent Skill, improves efficiency and automation)

4.5(291)
8.5K
langgraph

langgraph-fundamentals

by @langchain-ai

Fundamental skills for building StateGraphs, defining nodes, edges, start and end points, and managing workflows and state updates.

4.5(43)
7.9K
outcome-analysis

result

by @parallel-web

Retrieve results of completed research tasks using a run ID. AI Agent Skill to improve work efficiency and automation.

4.5(20)
7.6K
langchain

deep-agents-orchestration

by @langchain-ai

Orchestrates AI agent tasks, delegating work via SubAgentMiddleware, planning tasks with TodoListMiddleware, and enabling human approval with HumanInTheLoopMiddleware.

4.5(47)
7.1K
ai-automation

ai-automation-workflows

by @inferen-sh

Provides hundreds of AI automation workflows for agents using the inference.sh API.

4.5(282)
7.0K
startup-metrics

startup-metrics-framework

by @wshobson

Master the construction and analysis of key metric frameworks for startups, optimizing product strategy and growth through intelligent automation and multi-agent orchestration.

4.5(20)
6.8K
workflow-automation

workflow-patterns

by @wshobson

Understand and apply DevOps workflow patterns, enhancing development and operations efficiency and process standardization through intelligent automation and multi-agent orchestration.

4.5(53)
6.6K
shellcheck

shellcheck-configuration

by @wshobson

Familiar with ShellCheck configuration, combining intelligent automation and multi-agent orchestration to improve Shell script quality and security, reducing potential errors.

4.5(50)
6.6K
python

python-resource-management

by @wshobson

Specializes in Python backend resource management, enabling intelligent automation and multi-agent orchestration to optimize system efficiency and resource utilization.

4.4(60)
6.3K
devops

task-coordination-strategies

by @wshobson

Focuses on DevOps task coordination strategies, implementing intelligent automation and multi-agent orchestration to optimize development and operations processes and efficiency.

4.4(23)
5.6K
ai-agent-orchestration

clawdirect

by @napoleond

Interact with ClawDirect, a social network experience directory for AI agents, used to browse, like, or add new sites.

4.4(176)
4.6K
autonomous-agents

autonomous-loops

by @affaan-m

Provides patterns and architectures for autonomous Claude Code loops, from simple sequential pipelines to multi-agent DAG systems.

4.4(20)
4.2K
multi-agent-systems

blueprint

by @affaan-m

Transforms a single goal into a multi-session, step-by-step build plan. An AI Agent Skill that enhances work efficiency and automation capabilities.

4.4(29)
3.8K
rfc-process

ralphinho-rfc-pipeline

by @affaan-m

An RFC-driven multi-agent DAG execution model, ensuring quality assurance and efficient collaboration for AI task workflows.

4.4(44)
3.7K
multi-agent-systems

dmux-workflows

by @affaan-m

Orchestrate parallel AI agent sessions with dmux, coordinating multiple Claude Code and Codex instances to work collaboratively.

4.4(47)
3.5K
multi-agent

claude-devfleet

by @affaan-m

Dispatches coding tasks to multiple Claude Code agents working in parallel, each running in an independent git worktree with a full toolset.

4.4(89)
3.5K
team-management

team-builder

by @affaan-m

Interactive menu to browse and combine agent teams on demand, supporting flat or domain-subdirectory agent collections, for quickly building temporary teams for complex tasks.

4.4(30)
3.5K
langgraph

langgraph-docs

by @langchain-ai

This skill explains how to access LangGraph Python documentation to help answer questions and guide implementation, ensuring users can effectively utilize LangGraph.

4.4(26)
3.2K
ai-agents

santa-method

by @affaan-m

Multi-agent adversarial validation framework where two independent AI agents cross-review outputs to uncover biases and errors undetectable by a single agent.

4.4(20)
3.2K
gan

gan-style-harness

by @affaan-m

Multi-agent GAN training system, separating generation and evaluation processes to achieve adversarial iterative optimization, suitable for image generation and style transfer.

4.4(7)
2.7K
ai-agent-memory

do

by @thedotmack

Act as a coordinator, responsible for deploying sub-agents to execute all tasks, coordinating context, routing information, and verifying sub-agent task completion, without directly performing specific work.

4.4(60)
2.6K
decision-making

council

by @boshu2

Establishes a multi-model consensus council that comprehensively evaluates and reaches decision consensus through a parallel arbitration mechanism.

4.3(51)
2.1K
agent-orchestration

claude-to-deerflow

by @bytedance

DeerFlow is an open-source super agent harness that orchestrates sub-agents, memory, and sandboxes to accomplish various tasks through extensible skills. It supports Claude code integration and offers context engineering and long-term memory capabilities, aiming to enhance AI-driven workflow efficiency.

4.3(23)
2.1K
tmux

smux

by @shawnpana

Unified interface for inter-tmux pane communication and control, allowing AI Agents to collaborate across different terminal panes without manual window switching.

4.3(20)
2.0K
inngest

inngest-durable-functions

by @inngest

Creates and configures Inngest durable functions, covering trigger settings, state management, etc., to build reliable backend services.

4.3(85)
1.8K
inngest

inngest-setup

by @inngest

Set up Inngest in TypeScript projects, including SDK installation, function creation, and workflow configuration.

4.3(94)
1.8K
trigger.dev

trigger-tasks

by @triggerdotdev

Builds AI agents, workflows, and persistent background tasks, supporting complex automation and data processing requirements.

4.3(92)
1.7K
event-driven-architecture

trigger-config

by @triggerdotdev

Configures Trigger.dev projects via `trigger.config.ts` file to automate backend tasks.

4.3(65)
1.6K
event-driven-architecture

trigger-agents

by @triggerdotdev

Specializes in designing and implementing AI agent patterns using the Trigger.dev platform, including task orchestration and parallel processing.

4.3(83)
1.6K
ai-agents

everything-claude-code-harness

by @aradotso

Provides professional sub-agents, reusable skills, and performance optimization systems for AI agent tools, enhancing AI engineering efficiency.

4.3(27)
1.6K
multi-agent-systems

multi-agent-orchestration

by @qodex-ai

Designs and orchestrates multi-agent systems, enabling specialized agents to collaborate and solve complex AI engineering problems.

4.3(24)
1.5K
ai-agents

paperclip-ai-orchestration

by @aradotso

Open-source platform for running AI Agent companies, providing organizational structure, goal alignment, ticket management, budget execution, and heartbeat scheduling.

4.3(20)
1.3K
ai-assistants

nvidia-nemoclaw

by @aradotso

TypeScript CLI plugin simplifying the execution of OpenClaw resident AI assistants, installing and orchestrating NVIDIA OpenShell.

4.3(38)
1.3K
ai-agents

openai-symphony-autonomous-agents

by @aradotso

Transforms project work into isolated, autonomously executed implementations, with teams managing work rather than supervising coding agents.

4.3(39)
1.3K
multi-agent

edict-multi-agent-orchestration

by @aradotso

Multi-agent architecture implementing the Tang Dynasty's Three Departments and Six Ministries governance model, with 12 specialized agents forming a checks-and-balances pipeline: Crown Prince (triage) → Secretariat (drafting) → Chancellery (deliberation) → Department of State Affairs (execution), achieving division of labor and supervision in decision-making.

4.3(59)
1.3K
mlops

mcp-integration

by @anthropics

Specializes in MCP (Multi-Agent Collaboration Platform) integration, seamlessly incorporating agent-based coding tools like Claude Code into existing AI engineering workflows.

4.3(48)
1.2K
ai-agents

nelson

by @harrymunro

Coordinates multi-agent task execution, from task planning to parallel work coordination and task completion.

4.3(38)
1.2K
concurrency

parallel-task

by @am-will

Designed for AI engineering, this skill triggers only upon receiving an explicit `/parallel-task` command, executing parallel tasks to improve AI workflow efficiency and throughput.

4.3(48)
1.2K