mcpbeat

Team Builder Packaging

agentlas-ai/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.

406 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1165
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/agentlas-ai/Agentlas-OS --skill team-builder-packaging

The instruction itself

3 sections, as written by the author

Team Builder Packaging

Procedure

  • Start with the orchestrator/HQ.
  • 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.

  • Add PM Soul or project owner.
  • Add Memory Curator and Memory Ticket handoff.
  • Add Policy Gate, eval judge, and QA/evidence gate.
  • Add workers only for real domain ownership proved by interview or research.
  • 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.

  • Encode handoff and return contracts.
  • 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.

How to use it

Copy the folder

Take agentlas-ai/team-builder-packaging from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.