Make every team AI native — TeamAI syncs a team's AI skills, rules, docs and env across AI coding tools. Use when the task operates on team-shared AI configuration or team knowledge: setting up a team repo, joining one, managing members, syncing with pull or push, or checking team status. Also use to build or query a codebase knowledge base for a large multi-repo project (architecture analysis, architecture reverse-engineering, code-to-knowledge, team-wiki-codebase, architecture wiki), and to share what a session taught you back to the team (share session learnings, contribute a learning, share what I learned with my team), including after a friction reminder. Triggers include "set up teamai", "join the team repo", "sync team skills", "team wiki", "share what I learned", and running /teamai. Talking about a team needs no skill; operating on what the team shares does.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Make every team AI native — one shared foundation for the skills, rules, docs and env a team works with.
Install: npm i -g teamai-cli@latest (Node.js >= 20). If teamai skill get is not recognised, the installed CLI predates it; upgrade the same way.
This file is a discovery stub, not the usage guide. Load the workflow from the CLI before running anything, so the instructions match the installed version:
teamai skill get core # daily work: routing, pull, push, status, doctor
teamai skill get core --full # adds the full command reference and troubleshooting
The CLI serves skill content that always matches the installed version, so instructions never go stale. The content in this stub cannot change between releases, which is why it just points at skill get.
teamai skill get setup # day 0: create a team repo (admin) or join one (member), manage, uninstall
teamai skill get wiki # large multi-repo codebase: architecture reverse-engineering and knowledge base
teamai skill get share # turn what this session taught you into a team learning (needs recall on)
Publishing a skill, rule or doc the user already has is in core; it needs no recall.
A friction reminder at the end of a turn means teamai skill get share.
teamai skill list shows everything the installed version serves. teamai skill path <name> prints the directory holding a skill's scripts and templates.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
TeamAI daily workflow: route a /teamai request, sync with pull and push, inspect status, diagnose with doctor, and reach the specialized workflows. Loaded by the teamai discovery stub.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
TeamAI day 0 and repo lifecycle: create a team repo as admin, join an existing team as a member, manage members, roles, MCP and env, and uninstall. Loaded on demand by the teamai discovery stub.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Turn a session into a team learning: summarize what was solved, discovered or worked around, and publish it to the team knowledge base with `teamai contribute`. Loaded on demand by the teamai discovery stub, and by the friction reminder that ends a session worth sharing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Make AI truly understand large codebases: for multi-repository, multi-microservice projects that have evolved over years, run architecture reverse-engineering + a Graph RAG graph + multi-language AST to compress a huge codebase into a structured knowledge base, where every conclusion traces back to a code line and every relation carries a confidence label. Suited to projects with 10+ repositories or microservices that AI cannot understand globally by reading the code directly. Triggers: architecture analysis, architecture reverse-engineering, codebase knowledge base, code-to-knowledge, architecture wiki, large multi-repo codebase. Loaded on demand by the teamai discovery stub.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.