Design and ship a multi-agent system on AgentField. Use when the user asks to build, scaffold, design, or run an agent, reasoner network, multi-agent backend, or 'an agent that does X' — whenever the work would otherwise be a single LLM call or a flat LangChain/CrewAI/AutoGen chain. The skill produces composite intelligence: a deep, dynamic, parallel reasoner graph with a working docker compose up smoke test. For an agent installed on this machine through af and visible in AgentField Desktop, use the agentfield-personal skill instead.
EnglishBuild and install a personal AI agent on this machine's AgentField: real source in ~/agentfield-agents, packaged with agentfield-package.yaml, installed with af install, started with af run, registered on the local control plane, and visible in AgentField Desktop with a keys form and an auto-start toggle. Use when the user wants an agent that lives on their machine as a persistent capability — a pricing agent, a support agent, a research agent — rather than a deployable project. A standalone repository with Docker Compose is the agentfield skill; calling agents that already exist is the agentfield-use skill.
EnglishDiscover and call agents already running on a local AgentField control plane. Use when the user asks to use, call, query, run, or delegate work to an installed AgentField agent (swe-planner, pr-af, sec-af, ...), to list what agents or reasoners are available, or to check on an execution. Not for building new agents — that is the agentfield skill.
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AGENT SKILLS ATLASIncludes Agentfield, Agentfield Personal, and Agentfield Use.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Agentfield
Design and ship a multi-agent system on AgentField. Use when the user asks to build, scaffold, design, or run an agent, reasoner network, multi-agent backend, or 'an agent that does X' — whenever the work would otherwise be a single LLM call or a flat LangChain/CrewAI/AutoGen chain. The skill produces composite intelligence: a deep, dynamic, parallel reasoner graph with a working docker compose up smoke test. For an agent installed on this machine through af and visible in AgentField Desktop, use the agentfield-personal skill instead.
Agentfield Personal
Build and install a personal AI agent on this machine's AgentField: real source in ~/agentfield-agents, packaged with agentfield-package.yaml, installed with af install, started with af run, registered on the local control plane, and visible in AgentField Desktop with a keys form and an auto-start toggle. Use when the user wants an agent that lives on their machine as a persistent capability — a pricing agent, a support agent, a research agent — rather than a deployable project. A standalone repository with Docker Compose is the agentfield skill; calling agents that already exist is the agentfield-use skill.
Agentfield Use
Discover and call agents already running on a local AgentField control plane. Use when the user asks to use, call, query, run, or delegate work to an installed AgentField agent (swe-planner, pr-af, sec-af, ...), to list what agents or reasoners are available, or to check on an execution. Not for building new agents — that is the agentfield skill.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Agentfield skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: Apache-2.0. The author’s terms apply.