Agentlas core engine meta agent
Skill agentlas-ai/Agentlas-OS/.agents/skills/agentlas-core-engine-meta-agent
Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
npx -y skills add agentlas-ai/Agentlas-OS --skill agentlas-core-engine-meta-agentAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Use when creating a single Agentlas agent, creating a multi-agent team, or packaging an existing local/external agent into Agentlas architecture. Make sure to use this for /meta-agent requests.
SKILL.md
1.5 KB, as published. Nobody here has run it
Agentlas Core Engine Meta-Agent
Procedure
- Read
AGENTS.md. - Read
.agentlas/mode-map.json. - Run mode classification.
- Ask clarify questions when missing details change files, adapters, or public/private boundary.
- Pick one team member:
- Single Agent Builder;
- Multi Agent Team Builder;
- Agentlas Packager.
- Load only the matching support skills.
- Emit or repair the Agentlas contracts, including
.agentlas/global-commands.json. Include.agentlasauto-activation seed files when local continuity is part of the output. - Write all generated or repaired runtime agent instructions in English, including adapters, role prompts, skills, handoff contracts, return contracts, and operating docs. Translate Korean or other-language source material into English agent behavior. Localized public copy and routing trigger examples may use the target user language.
- Add the generated command to Codex, Codex, Gemini CLI, generic AGENTS.md, and terminal adapters. For teams, expose the orchestrator/HQ command and route workers through HQ unless direct worker commands were requested.
- Verify with
scripts/verify-package.sh.
Output
Return status, evidence, output, global_commands, and blockers.