Jeff 8d74aa4e42 docs(teamai-skill): fix wrong share-learnings hand-off hint (#736)
Step 9 of setup-admin.md told users to run
`/teamai 我想把学到的经验分享给团队` to share what they learned. This
contradicts the teamai SKILL.md, which states twice that sharing a
session's learnings is automatic and must NOT be routed through
`/teamai` — it is handled by the separate teamai-share-learnings skill.

Replace that bullet with the correct guidance:
- `/teamai` share entry is for publishing a reusable skill
  (contribute-member.md), not loose learnings.
- Session learnings are shared automatically via teamai-share-learnings.
2026-09-23 10:44:53 +08:00
2026-03-03 14:38:43 +08:00
2026-03-03 14:38:43 +08:00

teamai-cli

TeamAI — Make Every Team AI Native

Tencent%2Fteamai-cli | Trendshift

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CI npm version npm downloads License: MIT

The shared foundation for how your team works, learns, and improves with AI.

TeamAI turns individual AI capabilities into shared team capabilities — across agents, machines, and team members.

Why TeamAI

Eight everyday scenarios, before and after TeamAI

Quick Start

Send this one line to your AI tool:

Install the teamai skill: https://github.com/Tencent/teamai-cli/tree/main/skills/teamai , load the teamai skill, then set up TeamAI for my team from scratch.

Once TeamAI is set up, just talk to the /teamai skill in your AI tool:

Set up a team from scratch

/teamai Help me set up TeamAI for my team from scratch

Join a team

/teamai Help me join my team's TeamAI, repo URL is https://github.com/your-org/your-repo

Share with the team

Skills, rules, MCP servers, and other agent resources can all be shared:

/teamai Share my xxx skill with the team

Open the dashboard

/teamai Open the TeamAI dashboard
Command-line install

Install

npm install -g teamai-cli

Team admin / solo user

Create a shared-experience repo on your git host (GitHub, GitLab, GitCode, CNB, TGit, or a private Git service), grant write access to team members, then run teamai init https://github.com/your-org/your-repo.

No team repo yet? Start from a template pre-loaded with production-ready skills, rules, and review agents. Browse the teamai-hub org, click Fork, then teamai init against your new repo.

Team members

# Choose one, depending on where you want resources installed

# Project-scope init (default, resources installed under the project directory)
cd /path/to/my-project
teamai init https://github.com/your-org/your-repo

# Or, user-scope init (resources installed under ~/)
teamai init https://github.com/your-org/your-repo --scope user

Once initialized, every AI session automatically pulls the latest skills / rules and other Harness updates published by admins — no manual sync needed.

Learn More

Contributors

Thanks to everyone who has contributed to TeamAI!

Contributors

Made with contrib.rocks.

Contributing

Join the conversation, or open an issue or PR. See CONTRIBUTING.md for how to contribute.

License

MIT

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