Agent skill

Team Builder Packaging

by agentlas-ai in agentlas-ai/Agentlas-OS

A skill your agent uses 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.

Apache-2.0Auto-check passedAgent Workflows

Install Team Builder Packaging

skills CLI
$ npx skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentlas-ai/Agentlas-OS team-builder-packaging --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/team-builder-packaging .claude/skills/team-builder-packaging && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
team-builder-packaging
GitHub stars
1.6k
Token cost
~642 tokens
SKILL.md length
265 words
Files
1
Skills in repo
53
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses 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.

  • Works in 9 steps: Start with the orchestrator/HQ. → Run… → Add PM Soul or project owner. → …
  • Auditing a multi-role agent team package with orchestrator
  • SKILL.md covers Procedure and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Team Builder Packaging is an agent skill from agentlas-ai/Agentlas-OS. 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.

Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model. The licence is Apache-2.0.

When your agent uses it

  • Auditing a multi-role agent team package with orchestrator
  • Runtime adapters

Example prompts

  • “/team-builder-packaging”

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  1. Start with the orchestrator/HQ.
  2. Run contracts/builder-interview-research-gate.md before writing the roster
  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,
  8. Encode handoff and return contracts.
  9. Emit one orchestrator/HQ global command in .agentlas/global-commands.json

What it can do on your machine

Read from SKILL.md and the folder at commit 6254906. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Team Builder Packaging loads about 642 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 265 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~642

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agentlas-ai/Agentlas-OS at commit 6254906, republished under its Apache-2.0 licence (© agentlas-ai). 265 words, ~642 tokens.

Download SKILL.mdSave it as .claude/skills/team-builder-packaging/SKILL.md (or your agent's skills folder).
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 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:

    json
    {
      "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.

© agentlas-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/team-builder-packaging of agentlas-ai/Agentlas-OS.

Open the folder on GitHubat commit 6254906

Compare with similar skills

Team Builder Packaging next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Team Builder Packaging compared with similar skills
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Team Builder Packaging this skillagentlas-ai/Agentlas-OS1.6k—~642Automated safety check: PassApache-2.0
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k10 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Skill CreatorAzure/azqr79589 repos~8.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Team Builder Packaging

What does Team Builder Packaging do?

A skill your agent uses 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 is an agent skill from agentlas-ai/Agentlas-OS. 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.

When should I use Team Builder Packaging?

Team Builder Packaging fits situations like: auditing a multi-role agent team package with orchestrator; runtime adapters.

How do I install Team Builder Packaging in Claude Code?

Run `npx skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging -a claude-code`. Or copy the skill folder (skills/team-builder-packaging in agentlas-ai/Agentlas-OS) into .claude/skills/team-builder-packaging in your project. Claude Code loads it when a task matches its description.

How do I install Team Builder Packaging in Codex?

Run `npx skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging -a codex`. Or copy the skill folder (skills/team-builder-packaging in agentlas-ai/Agentlas-OS) into .agents/skills/team-builder-packaging in your project. Codex loads it when a task matches its description.

Can I use Team Builder Packaging in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/team-builder-packaging, .gemini/skills/team-builder-packaging, .github/skills/team-builder-packaging and .opencode/skills/team-builder-packaging in your project.

What does Team Builder Packaging need to run?

SKILL.md names no scripts, command-line tools or credentials: Team Builder Packaging is instructions for the agent only.

Does Team Builder Packaging access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Team Builder Packaging safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Team Builder Packaging use?

Team Builder Packaging is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Team Builder Packaging use?

About 642 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Team Builder Packaging?

Skills that share tags, products or a category with Team Builder Packaging: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Team Builder Packaging?

agentlas-ai (a GitHub organization) maintains it in agentlas-ai/Agentlas-OS, which has 1,582 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on October 8, 2026.

Source: agentlas-ai/Agentlas-OS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.