Team Builder Packaging

SkillDocs & knowledge

Use when generating or auditing a multi-role agent team package with orchestrator, PM Soul, Memory Curator, Policy Gate, workers, eval, QA, handoffs, and runtime adapters.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Team Builder Packaging skill

What this skill tells your AI

The instructions your AI receives, as published by agentlas-ai/agentlas-os in skills/team-builder-packaging/SKILL.md and read by ahel’s review.

Procedure

  1. Start with the orchestrator/HQ.

  2. Run contracts/builder-interview-research-gate.md before writing the roster: ask an 8-12 question first batch, research official sources, similar agent repositories or comparables, academic/professional theory, and plugin docs, compare tool/plugin choices, and write the domain-expert synthesis plus prompt-performance contract.

  3. Add PM Soul or project owner.

  4. Add Memory Curator and Memory Ticket handoff.

  5. Add Policy Gate, eval judge, and QA/evidence gate.

  6. Add workers only for real domain ownership proved by interview or research.

  7. Add docs/builder-interview.md, docs/research-sources.md, docs/tool-selection.md, docs/domain-expert-synthesis.md, docs/prompt-performance-contract.md, and .agentlas/capability-eval-plan.json unless explicitly creating a minimal private scaffold.

  8. Encode handoff and return contracts.

  9. Emit one orchestrator/HQ global command in .agentlas/global-commands.json and runtime command files. Do not expose worker commands unless requested. 9b. Declare the execution graph in manifest.json. This is what the Hub runtime reads to build the team; a package that omits it is published, charged for as a team, and can never be called:

    {
      "entrypoints": { "orchestrator": "agents/00-orchestrator/agent.md" },
      "roster": ["agents/10-<role>/agent.md", "agents/20-<role>/agent.md"]
    }
    

    Write both keys explicitly. The runtime also accepts older spellings (entrypoint, orchestrator, entry; workers, members, team) and can derive the roster from agents/<name>/agent.md, but relying on that leaves the team's shape implicit and it drifts. Note that entry in agentlas.json is the PACKAGE entrypoint, not the team manager — never reuse it for that.

  10. Emit runtime adapters and package verification.

  11. Run scripts/verify-team-package.sh <package-root> before reporting completed. If it fails, do not hand off a result; correct the package by adding an orchestrator/HQ plus company-blueprint topology or by collapsing it to a valid single-agent package.

Output

Return team_topology, nodes, edges, memory_architecture, gates, runtime_adapters, global_commands, and verification.

Signals

GitHub stars
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Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
team-builder-packaging
Source
github.com/agentlas-ai/agentlas-os