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/team-builder-packaging

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.

From plugin
agentlas-os
1.2k41 skills5 agents14 commands1 MCP
Install
$ npx -y skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/team-builder-packaging

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

team-builder-packaging.SKILL.md
name: team-builder-packaging
description: "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."

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 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`.

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Ships withagentlas-os

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

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