agentlas-core-engine-meta-agent
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.
npx skills add agentlas-ai/Agentlas-OS --skill agentlas-core-engine-meta-agent --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Agentlas Core Engine Meta-Agent ## Procedure 1. Read `AGENTS.md`. 2. Read `.agentlas/mode-map.json`. 3. Run mode classification. 4. Ask clarify questions when missing details change files, adapters, or public/private boundary. 5. Pick one team member: - Single Agent Builder; - Multi Agent Team Builder; - Agentlas Packager. 6. Load only the matching support skills. 7. Emit or repair the Agentlas contracts, including `.agentlas/global-commands.json`. Include `.agentlas` auto-activation seed files when local continuity is part of the output. 8. 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. 9. 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. 10. Verify with `scripts/verify-package.sh`. ## Output Return `status`, `evidence`, `output`,
- Procedure
- Output
What does the agentlas-core-engine-meta-agent skill do?
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.
How do I install it?
Run `npx skills add agentlas-ai/Agentlas-OS --skill agentlas-core-engine-meta-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From agentlas-ai/Agentlas-OS, a repository with 1,165 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.