Skill Base CLI
ginuim/skill-base
Uses the skb command to search, install, update, delete, publish and import skills on a Skill Base site, including curated collections and GitHub imports.
Walks a non-technical user through creating or joining a TeamAI team repo, then managing members, roles, MCP, and environment settings.
Install TeamAI Setup and Lifecycle
$ npx skills add Tencent/teamai-cli --skill setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Tencent/teamai-cli setup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Tencent/teamai-cli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill-data/setup .claude/skills/setup && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "setup" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/setup into .claude/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Tencent/teamai-cli/tree/main/skill-data/setupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Tencent/teamai-cli --skill setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Tencent/teamai-cli setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/teamai-cli.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skill-data/setup .agents/skills/setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "setup" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/setup into .agents/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Tencent/teamai-cli --skill setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Tencent/teamai-cli setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/teamai-cli.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skill-data/setup .cursor/skills/setup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "setup" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/setup into .cursor/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Tencent/teamai-cli.git --path skill-data/setup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Tencent/teamai-cli --skill setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Tencent/teamai-cli setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/teamai-cli.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skill-data/setup .gemini/skills/setup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "setup" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/setup into .gemini/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Tencent/teamai-cli setupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Tencent/teamai-cli --skill setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Tencent/teamai-cli.git skills-src && mkdir -p .github/skills && cp -r skills-src/skill-data/setup .github/skills/setup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "setup" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/setup into .github/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Tencent/teamai-cli --skill setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Tencent/teamai-cli setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tencent/teamai-cli.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skill-data/setup .opencode/skills/setup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "setup" agent skill from https://github.com/Tencent/teamai-cli/tree/main/skill-data/setup into .opencode/skills/setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
setup- GitHub stars
- 5.1k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 584 words
- Files
- 6 (incl. references)
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Walks a non-technical user through creating or joining a TeamAI team repo, then managing members, roles, MCP, and environment settings.
- Works in 4 steps: Always use a full URL for the team repo… → Don't limit which AI tools get set up —… → teamai init ends with a pull. In user… → …
- Setting up a new TeamAI team from scratch
- SKILL.md covers Before anything, Rules for these flows and References
- Calls node; reaches github.com
What it does
This skill runs the commands on the user's behalf since they may not know Git, never explaining branches, commits, or clones. It routes a user either to creating a team repo as its admin or to joining an existing one with a repo URL from that admin, and detects the Git provider among Tencent TGit, GitHub, GitLab, and CNB to apply provider-specific setup notes.
Unless the user names specific tools, it sets up every AI tool already installed on the machine rather than restricting the install to one, and after initial setup it covers inviting members, publishing skills, rules, MCP, and environment config, managing roles, troubleshooting, and uninstalling, each through its own reference file.
When your agent uses it
- Setting up a new TeamAI team from scratch
- Joining an existing TeamAI team with or without a repo URL
- Managing TeamAI members, roles, or environment settings
- Removing TeamAI from a machine
Example prompts
- “Set up TeamAI for my team and create the repo.”
- “I need to join my team's TeamAI, here's the repo URL.”
- “Invite a new member and give them the editor role.”
- “Uninstall TeamAI from this machine.”
Requirements
- Node.js 20 or newer
- teamai CLI installed via npm
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Always use a full URL for the team repo (e.g.
- Don't limit which AI tools get set up — cover all of them by default.
- teamai init ends with a pull. In user scope, and in project scope for each
- Finish with teamai doctor. Every setup or onboarding flow ends by running
What it can do on your machine
Read from SKILL.md and the folder at commit 3f11504. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
node
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
TeamAI Setup and Lifecycle loads about 1.2k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 584 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 584 words (~1,237 tokens).
“You run the commands; the user only makes choices when you ask. They may not know Git — never explain branches, commits or clones.”
- name
- setup
Files
SKILL.md and 5 other files (references) in skill-data/setup of Tencent/teamai-cli.
- SKILL.md
- references/join-member.md
- references/manage-admin.md
- references/provider-tgit.md
- references/setup-admin.md
- references/uninstall.md
Open the folder on GitHubat commit 3f11504
Compare with similar skills
TeamAI Setup and Lifecycle next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| TeamAI Setup and Lifecycle this skillTencent/teamai-cli | 5.1k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Skill Base CLIginuim/skill-base | 120 | — | ~1.9k | Automated safety check: Pass | None | |
| Plugins ManagementCodeAlive-AI/ai-driven-development | 155 | — | ~3.1k | Automated safety check: Notes | MIT | |
| Release Lambda LayerDataDog/datadog-lambda-js | 126 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Opensrcdeadlock-mod-manager/deadlock-mod-manager | 473 | — | ~910 | Automated safety check: Pass | GPL-3.0 | |
| Ask NavigatorYeachan-Heo/oh-my-claudecode | 40k | — | ~4.1k | Automated safety check: Pass | MIT |
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Categories
Questions about TeamAI Setup and Lifecycle
What does TeamAI Setup and Lifecycle do?
Walks a non-technical user through creating or joining a TeamAI team repo, then managing members, roles, MCP, and environment settings. This skill runs the commands on the user's behalf since they may not know Git, never explaining branches, commits, or clones. It routes a user either to creating a team repo as its admin or to joining an existing one with a repo URL from that admin, and detects the Git provider among Tencent TGit, GitHub, GitLab, and CNB to apply provider-specific setup notes.
When should I use TeamAI Setup and Lifecycle?
TeamAI Setup and Lifecycle fits situations like: setting up a new TeamAI team from scratch; joining an existing TeamAI team with or without a repo URL; managing TeamAI members, roles, or environment settings; removing TeamAI from a machine.
How do I install TeamAI Setup and Lifecycle in Claude Code?
Run `npx skills add Tencent/teamai-cli --skill setup -a claude-code`. Or copy the skill folder (skill-data/setup in Tencent/teamai-cli) into .claude/skills/setup in your project. Claude Code loads it when a task matches its description.
How do I install TeamAI Setup and Lifecycle in Codex?
Run `npx skills add Tencent/teamai-cli --skill setup -a codex`. Or copy the skill folder (skill-data/setup in Tencent/teamai-cli) into .agents/skills/setup in your project. Codex loads it when a task matches its description.
Can I use TeamAI Setup and Lifecycle in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Tencent/teamai-cli --skill setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/setup, .gemini/skills/setup, .github/skills/setup and .opencode/skills/setup in your project.
What does TeamAI Setup and Lifecycle need to run?
Going by SKILL.md and its folder, TeamAI Setup and Lifecycle needs the command-line tools its instructions call (node). Our summary lists: Node.js 20 or newer; teamai CLI installed via npm.
Does TeamAI Setup and Lifecycle access the network?
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is TeamAI Setup and Lifecycle safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does TeamAI Setup and Lifecycle use?
TeamAI Setup and Lifecycle has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does TeamAI Setup and Lifecycle use?
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.
What are the alternatives to TeamAI Setup and Lifecycle?
Skills that share tags, products or a category with TeamAI Setup and Lifecycle: Skill Base CLI (ginuim/skill-base, 120 stars), Plugins Management (CodeAlive-AI/ai-driven-development, 155 stars), Release Lambda Layer (DataDog/datadog-lambda-js, 126 stars) and Opensrc (deadlock-mod-manager/deadlock-mod-manager, 473 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains TeamAI Setup and Lifecycle?
Tencent (a GitHub organization) maintains it in Tencent/teamai-cli, which has 5,136 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 6, 2026.
Source: Tencent/teamai-cli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.