agentlas-core-engine-m…
Use when creating a single Agentlas agent, creating a multi-agent team, or packaging an existing local/external agent into…
Use when designing a new multi-agent team, visible agents folder, role boundaries, handoff flow, PM Soul, Memory Curator, Policy Gate, or evaluation role. Use for agent-team repo creation even when the user only says they want a meta-agent or agent operating system.
Claude Code
$ npx -y skills add agentlas-ai/Agentlas-OS --skill agent-team-design --agent claude-code
Codex
$ npx skills add agentlas-ai/Agentlas-OS --skill agent-team-design -a codex -y
Cursor
$ npx skills add agentlas-ai/Agentlas-OS --skill agent-team-design -a cursor -y
Gemini CLI
$ npx skills add agentlas-ai/Agentlas-OS --skill agent-team-design -a gemini-cli -y
GitHub Copilot
$ npx skills add agentlas-ai/Agentlas-OS --skill agent-team-design -a github-copilot -y
OpenCode
$ npx skills add agentlas-ai/Agentlas-OS --skill agent-team-design -a opencode -y
Windsurf
$ npx skills add agentlas-ai/Agentlas-OS --skill agent-team-design -a windsurf -y
name: agent-team-design description: "Use when designing a new multi-agent team, visible agents folder, role boundaries, handoff flow, PM Soul, Memory Curator, Policy Gate, or evaluation role. Use for agent-team repo creation even when the user only says they want a meta-agent or agent operating system."
1. Define the user job and target runtime. 2. Start with one agent. Add team roles only when routing, memory, review, policy, or parallel ownership is useful. 3. Use a visible public tree:
4. Add `skills/<capability>/SKILL.md` for reusable procedures. 5. Add `.agentlas/company-blueprint.json` for topology.
Return the role list, handoff direction, memory owner, policy owner, and eval owner.
An open-source AI agent OS inspired by OpenAI Dots, Meta Muse, Claude Duet, Nous Hermes, and Mem0. Built to lead entire projects rather than isolated prompts. Model-agnostic (BYOM) and native to Claude Code, Codex, Cursor, Antigravity, and Agentlas Desktop.
Use when creating a single Agentlas agent, creating a multi-agent team, or packaging an existing local/external agent into…
Use when converting, repairing, or packaging an existing local or external agent/team into Agentlas architecture for local…
Use when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or…
Turn the current interactive conversation into an owner-reviewed reusable Agentlas agent; accept JSON or JSONL only for explicit…
Use when generating or auditing a multi-role agent team package with orchestrator, PM Soul, Memory Curator, Policy Gate, workers,…
Agentlas 시스템 운용 절차 — hep-network 편성, cargo/Agent Cloud·marketplace 활용, workforce 로스터 재사용, 메모리 계약. One(개인 에이전트)이 Agentlas를 조작할 때 이…
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by…
Create a new Architecture Decision Record with sequential numbering and AgentDB registration