Agent-Field
Review Skills published by Agent-Field, their source repositories, maintenance signals, and identity status.
- Skills
- 3
- Repository stars
- 2,475
- Identity status
- Source-linked
Provenance
Source and identity
- Profile type
- Creator
- Canonical name
- Agent-Field
- Public sources
- 1
- License context
- Apache-2.0
Source entries
Agent Skills from Agent-Field
Repository stars and maintenance signals provide context, but do not automatically become an individual Skill's quality score.
Agent-Field/agentfield
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
Agent-Field/agentfield
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
Agent-Field/agentfield
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.
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Repository context
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