mode-classification
Use before routing a /meta-agent request to choose single-agent-creator, team-builder, or agentlas-packager from the user's wording and available files.
npx skills add agentlas-ai/Agentlas-OS --skill mode-classification --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.
# Mode Classification Pick one Agentlas meta-agent mode before generating or repairing files. ## Procedure 1. Inspect the user request and any provided path, repo, ZIP, prompt, or agent files. 2. Step 0 - existing material wins: if existing material is being converted, repaired, cleaned, imported, or released, choose `agentlas-packager`. 3. Step 1 - count independent ownership boundaries. Ask how many roles must independently own all three of: - their own memory/context; - their own tools/permissions; - their own success criteria. One boundary means `single-agent-creator`. Two or more boundaries means a `team-builder` candidate. If the boundary count is unclear, run the clarify question loop before generating; do not infer from the word "team" alone. 4. Step 2 - check synthesis need for multi-boundary candidates. If those role outputs must be routed, reviewed, synthesized, or chained through produces/consumes dependencies, choose `team-builder` and require an orchestrator/HQ plus memory, policy, eval, and QA. If the roles are unrelated, create separate single-agent packages instead of one team. 5. Step 3 - shape guard. `single-agent-creator` may have many skills/tools but must not
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What does the mode-classification skill do?
Use before routing a /meta-agent request to choose single-agent-creator, team-builder, or agentlas-packager from the user's wording and available files.
How do I install it?
Run `npx skills add agentlas-ai/Agentlas-OS --skill mode-classification --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.