Saul Moro
f19f9de23a
* ci(lint): enable type-aware linting with no-floating-promises and no-misused-promises tsc does not report a promise nobody awaits or an async callback handed to an API that ignores its result. In a CLI that is an error nobody sees. oxlint's --type-aware mode checks both through oxlint-tsgolint. - package.json: add oxlint-tsgolint 7.0.2003 (oxlint 1.85.0 needs >=7.0.2001) and pass --type-aware to `npm run lint`. The package ships prebuilt binaries as optional dependencies with no install script, so CI's `npm ci --ignore-scripts` needs no change. - .oxlintrc.json: turn on typescript/no-floating-promises and typescript/no-misused-promises. Under src/__tests__/**, no-misused-promises skips checksVoidReturn.arguments: vi.spyOn(fse, ...) types the spy from fs-extra's last overload, the callback one that returns void, so every correct async mockImplementation is flagged. - --type-aware also turns on oxlint's default type-aware rules. The ones with hits on main stay off, since each is its own evaluation under #836. The rest of the defaults have no hits and stay on. Fixes, all behavior-neutral: - dashboard.ts: the SSE debounce and the PID check become named async functions called with `void`; both already catch everything they throw. The HTTP handler becomes handleRequest, and createServer catches its rejection, logs it and answers 500. - import-repo-list.ts: track in-flight imports in a Set, so the unused array splice returned is gone. - scripts/mock-teamai-server.mjs: same handler wrapper as the dashboard, so a malformed JSON body answers 500 instead of an unhandled rejection. - ai-client.test.ts: schedule the mock process events with queueMicrotask. Refs #836. * ci(lint): turn on typescript/no-useless-default-assignment 1 prod hit, type-only: syncTeamUpdatesToLocal's last parameter was `placedRules: Record<string, string> | undefined = undefined`; it is now `placedRules?: Record<string, string>`. Refs #836. * ci(lint): list only the type-aware rules that would otherwise run as off consistent-return, no-unnecessary-boolean-literal-compare, no-unnecessary-type-arguments, no-unnecessary-type-assertion, no-unnecessary-type-conversion, no-unnecessary-type-parameters and no-unsafe-type-assertion are not default rules, so listing them as off changed nothing. The config keeps off only the nine default type-aware rules that --type-aware would turn on. `oxlint --type-aware --print-config` gives the same set of active rules before and after. Refs #836.
TeamAI — Make Every Team AI Native
English | 中文 | 日本語 | 한국어 | ไทย
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
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
Once a teammate is set up, they just open their agent and already have the team's full set of AI assets.
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 initagainst 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.
Product Overview
Three layers of capability, built on Git:
- Team Execution — make every agent work the team's way: skills, rules, docs, env, agents, hooks, MCP, models.
- Team Context (beta) — make every agent understand the team: learnings, codebase graph, teamwiki.
- Team Improvement (beta) — make every execution improve the team: usage, sessions, dashboard.
| Agent | Team Execution | Team Context (beta) | Team Improvement (beta) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| skills | rules | docs | env | agents | hooks | mcp | models | learnings | codebase | teamwiki | usage | sessions | dashboard | |
| Claude Code | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Codex | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Cursor | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| GitHub Copilot CLI | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| CodeBuddy | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| WorkBuddy | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| OpenCode | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | — | — |
| Pi Coding Agent | ✓ | ✓ | ✓ | — | — | ✓ | — | — | — | — | — | — | — | — |
| OpenClaw | ✓ | ✓ | ✓ | ✓ | — | — | — | — | ✓ | ✓ | ✓ | — | — | — |
| Hermes | ✓ | — | ✓ | ✓ | — | — | — | — | ✓ | ✓ | ✓ | — | — | — |
| DeepSeek Harness | ✓ | — | ✓ | — | — | — | — | — | ✓ | ✓ | ✓ | — | — | — |
| Qoder | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Qoder CN | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Kiro | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| ZCode | ✓ | — | ✓ | — | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Oh My Pi | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | — | ✓ | ✓ | ✓ | — | — | — |
Learn More
- Usage Guide (中文版) — setup, onboarding, daily workflows, and commands
- Product Overview (中文版) — architecture, distribution controls, and capability details
- Git Providers — supported repository providers
- Windows Setup (中文版) — hooks and shell configuration
- Technical Designs — design documents and proposals
Contributors
Thanks to everyone who has contributed to TeamAI!
Made with contrib.rocks.
Contributing
Join the conversation, or open an issue or PR. See CONTRIBUTING.md for how to contribute.