agentlas-core-engine-m…
Use when creating a single Agentlas agent, creating a multi-agent team, or packaging an existing local/external agent into…
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.
Claude Code
$ npx -y skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging --agent claude-code
Codex
$ npx skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging -a codex -y
Cursor
$ npx skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging -a cursor -y
Gemini CLI
$ npx skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging -a gemini-cli -y
GitHub Copilot
$ npx skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging -a github-copilot -y
OpenCode
$ npx skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging -a opencode -y
Windsurf
$ npx skills add agentlas-ai/Agentlas-OS --skill team-builder-packaging -a windsurf -y
name: team-builder-packaging description: "Use when generating or auditing a multi-role agent team package with orchestrator, workers, handoffs, Memory Ticket outputs, and runtime adapters (PM Soul, Memory Curator, Policy Gate, eval and QA are OS-resident)."
1. Start with the orchestrator/HQ. 2. Run `contracts/builder-interview-research-gate.md` before writing the roster: assess supplied context and ask only material gaps, including zero questions when sufficient (8-12 only if that many gaps remain); 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 a project owner role if the team needs one. 4. Add the Memory Ticket handoff (the Memory Curator is OS-resident). 5. Rely on the OS-resident Policy Gate, eval judge, and QA/evidence gate; do not package them. 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.
Return `team_topology`, `nodes`, `edges`, `memory_architecture`, `gates`, `runtime_adapters`, `global_commands`, and `verification`.
An open-source AI agent OS inspired by OpenAI Dots, Meta Muse, Claude Duet, Nous Hermes, and Mem0. Built to lead entire projects rather than isolated prompts. Model-agnostic (BYOM) and native to Claude Code, Codex, Cursor, Antigravity, and Agentlas Desktop.
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