---
name: agentlas-ai/team-builder-packaging
source: https://app.decimal.ai/s/agentlas-ai-team-builder-packaging@2/SKILL.md
source_sha256: 788927e81247
---

# Team Builder Packaging

## Procedure

1. Start with the orchestrator/HQ.
2. Run `docs/builder-interview-research-gate.md` before writing the roster:
   ask an 8-12 question first batch, research the domain, compare tool/plugin
   choices, and write the 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/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.
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`.