# 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.

- **Type:** Skill
- **Install:** `agentstack add skill-agentlas-ai-hephaestus-team-builder-packaging`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [agentlas-ai](https://agentstack.voostack.com/s/agentlas-ai)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [agentlas-ai](https://github.com/agentlas-ai)
- **Source:** https://github.com/agentlas-ai/Hephaestus/tree/main/skills/team-builder-packaging
- **Website:** https://agentlas.cloud

## Install

```sh
agentstack add skill-agentlas-ai-hephaestus-team-builder-packaging
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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.
10. Emit runtime adapters and package verification.
11. Run `scripts/verify-team-package.sh ` 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`.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [agentlas-ai](https://github.com/agentlas-ai)
- **Source:** [agentlas-ai/Hephaestus](https://github.com/agentlas-ai/Hephaestus)
- **License:** Apache-2.0
- **Homepage:** https://agentlas.cloud

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-agentlas-ai-hephaestus-team-builder-packaging
- Seller: https://agentstack.voostack.com/s/agentlas-ai
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.