team-os-toolkit

Mine how YOUR team actually decides into a decisions.md — dated, sourced decision principles with statuses, scopes, and one-way doors — and generate a decide-like-<your-team> apprentice-loop skill: teammate commits to a recommendation first, the skill cites principles and gap-analyzes the reasoning, episodes get logged for calibration, and consistently-calibrated teammates graduate to owning whole decision classes. Use when the user says "init team decisions", "set up a decision system", "capture how we decide", "build a decide-like-us skill", or keeps getting pinged with "what would <the founder> say?".

Evidence-first Team OS setup. Mines the host agent's local transcripts (Claude Code, Codex, …), MCP config, and existing repos to pre-populate a team knowledge repo interview, asks at most 5 questions, builds the minimal repo that answers the team's top recurring question, and ends with a ready-to-post demonstration message. Use when the user says "init team os", "set up our team os from evidence", "build our team knowledge repo", or wants a TeamOS scaffolded from what their machine already knows.

Configure a personalized Robin (AI chief of staff) spec for any team. Reads the user's TeamOS knowledge repo, mines MCP config and installed runtimes to resolve ROBIN-SPEC's implementation-defined slots, drafts the team's soul.md and duty roster into their repo, and emits ROBIN-SPEC.local.md plus a KICKOFF.md prompt for any coding agent to implement Robin on the user's stack. Use when the user says "robin init", "configure my robin spec", "set up a team agent spec", "set up a chief of staff agent", or wants to start implementing a Robin-style team agent.

Generate a product-knowledge layer (a "brain") for a team's codebase - glossary and object model mined from real code, rot-rate tiers, a claims-manifest drift checker that fails commits when docs disagree with code, an eval harness, and a weekly sync skill. Use when the user says "init team brain", "create a product brain", "set up drift-checked product docs", or wants onsa-brain-style product knowledge for their repos.