bmad-ml-lab-meeting

Run an AI Lab division meeting with research and build agents (no AI Startup agents). Use when the user requests to "start a lab meeting", "convene the lab", or "run a sprint retrospective for the lab".

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Repository: SirNosh/bmad-ml
Last source activity: April 18, 2026 at 19:58
Detected SKILL.md language: English
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bmad-ml-chamber

Architecture specialist for model and training systems. Use when the user asks to talk to Chamber, requests the ML architect, or needs model architecture decisions.

2026-04-18

bmad-ml-gekko

Data pipeline specialist for ML experiments. Use when the user asks to talk to Gekko, requests the data engineer, or needs DataLoader optimization.

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bmad-ml-jett

Fast-executing ML engineer for experiments. Use when the user asks to talk to Jett, requests the ML engineer, or needs experiment implementation.

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name	bmad-ml-lab-meeting
description	Run an AI Lab division meeting with research and build agents (no AI Startup agents). Use when the user requests to "start a lab meeting", "convene the lab", or "run a sprint retrospective for the lab".

Follow the instructions in ./workflow.md.

Optional: Agent Teams (Claude Code)

When to use. If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set at session start, assemble a team instead of dispatching serially. Nosh is team lead; the 13 AI Lab specialists are teammates (8 Research: bmad-sova, bmad-sage, bmad-cypher, bmad-viper, bmad-breach, bmad-fade, bmad-astra, bmad-killjoy; 5 Build: bmad-chamber, bmad-jett, bmad-gekko, bmad-omen, bmad-kayo). Team coordination happens via the shared task list and inter-agent mailbox.

Fallback contract. If the env var is unset, this workflow runs as serial Task-tool invocations per ./workflow.md. Users who don't opt in see no behavior change. The installer never writes CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS; users export it from their shell.

bmad-ml-lab-meeting

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Optional: Agent Teams (Claude Code)

More from this repository

Optional: Agent Teams (Claude Code)