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Tencent/teamai-cli

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Teamai Cli

teamai-cli is a command-line tool that lets a team manage its AI coding assets in one place. Skills, rules, agents, hooks, servers, and models are stored as files in a shared git repository hosted on a provider such as GitHub or GitLab, which acts as the single source of truth. The same set of assets and configuration is then applied across many coding agents, so each one follows the team's conventions regardless of which tool a teammate prefers.

Setup and day-to-day use are built around minimal manual work. A single init command connects a git repository to a team, or starts from a pre-loaded template. New teammates get the team's full set of AI assets inside their agent after one initial setup. From then on, the latest skills, rules, and published updates are pulled in automatically at the start of each agent session. Team creation, joining, resource sharing, and opening a dashboard can also be done by chatting with a skill inside the AI tool rather than typing commands.

Two capabilities are marked as early beta. One builds shared team context from captured learnings, a codebase graph, and a team wiki, so agents can draw on the team's knowledge and code. The other records usage, sessions, scorer results, and benchmarks from agent runs, giving the team feedback it can use to refine its assets over time.

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Features

  • CLI Configuration Syncing - Applies one shared set of skills, rules, and settings across many coding agents from a single command-line tool so each follows team conventions.
  • Agent Configuration Standards - Applies the same team skills, rules, and configuration across many coding agents so each follows the team's conventions regardless of the tool a teammate prefers.
  • Multi-Agent Skill Installers - Translates one shared set of skills, rules, and configuration into each coding agent's native format and location, so every tool follows the same conventions.
  • Shared Team Configurations - Keeps a team's skills, rules, agents, hooks, servers, and models in one shared git repository so every teammate works from the same AI resources.
  • Team Onboarding - Equips each new teammate with the team's AI assets and conventions inside their coding agent after a single setup, with no manual configuration afterward.
  • Automatic Team Asset Syncing - Pulls the newest team skills, rules, and published updates into each AI session automatically, so teammates never sync by hand after setup.
  • Team Onboarding Interfaces - Gives each new teammate the team's full set of AI assets inside their agent after one initial setup, with no further manual configuration.
  • Git-Backed Team Asset Repositories - Stores every team skill, rule, agent, hook, server, and model as files in one shared git repository that serves as the single source of truth.
  • Git-Backed Team Repositories - Uses a shared repository on GitHub or GitLab as the single source of truth for the team's AI resources and published updates.
  • Team AI Asset Managers - Manages a team's skills, rules, agents, hooks, servers, and models in one shared git repository so every teammate uses the same resources.
  • Team AI Asset Sharing - Stores skills, rules, agents, hooks, servers, and models as files in one shared git repository so every teammate works from identical AI resources.
  • Conversational Team Administration Skills - Ships a chat-driven skill inside the AI tool that handles team setup, joining, sharing, and dashboard access through natural-language requests.
  • Conversational Team Setup Skills - Lets users create or join a team, share resources, and open a dashboard by chatting with a skill inside their AI tool.
  • Session-Start Asset Sync - Hooks into the start of each agent session to pull the latest team skills, rules, and published updates without any manual sync step.
  • Team Administration - Supports creating a team, joining one, sharing resources, and opening a dashboard by chatting with a skill inside the AI tool.
  • Coding Agent Team Onboarding - Gives each new teammate the team's full set of AI assets inside their coding agent after a single setup, with no manual follow-up.
  • Team Repository Initialization - Connects a shared git repository from GitHub or GitLab to a team with a single init command, or starts from a pre-loaded template.
5,789 stars·500 forks·TypeScript·1 view

Star history

Star history chart for tencent/teamai-cliStar history chart for tencent/teamai-cli

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Frequently asked questions

What does tencent/teamai-cli do?

teamai-cli is a command-line tool that lets a team manage its AI coding assets in one place. Skills, rules, agents, hooks, servers, and models are stored as files in a shared git repository hosted on a provider such as GitHub or GitLab, which acts as the single source of truth. The same set of assets and configuration is then applied across many coding agents, so each one follows the team's conventions regardless of which tool a teammate prefers.

What are the main features of tencent/teamai-cli?

The main features of tencent/teamai-cli are: CLI Configuration Syncing, Agent Configuration Standards, Multi-Agent Skill Installers, Shared Team Configurations, Team Onboarding, Automatic Team Asset Syncing, Team Onboarding Interfaces, Git-Backed Team Asset Repositories.

Which projects share features with tencent/teamai-cli?

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