BayramAnnakov/team-os-toolkit

team-improve

Build the self-improvement loop for an agent your team already runs. Mines its session traces for the places a person corrected it, clusters them into staged improvement candidates, and derives a frozen test set from those episodes — where the agent proposes…

原文语言：英语

team-workflow

The execution layer of a Team OS. Turns a job you repeat — ticket → pull request, meeting → notes → tickets, call → CRM update, alert → triage — into a workflow an agent runs, with a human approval gate at the step that can't be taken back. It decides first…

原文语言：英语

team-prototype

The prototyping layer of a Team OS. Turns a feature description into a working, publishable prototype, then autonomously improves it across independent Generator-Evaluator rounds — grading it against YOUR team's own glossary, personas and decision principles,…

原文语言：英语

synthetic-interviews

Run a synthetic user panel against a prototype, a flow, or a concept — personas built from YOUR team's brain, each walked step by step until they give up, with every finding split into what a real session would also have found versus what the model is…

原文语言：英语

init-team-decisions

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…

原文语言：英语

init-team-os

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…

原文语言：英语

robin-init

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…

原文语言：英语

init-team-brain

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.…

原文语言：英语