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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.
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.
Projects with overlapping indexed features include: agenticresourceregistry/agenticresourceregistry — Agentic Resource Registry is a self-hosted catalog where teams publish, version, review and discover reusable coding… inkeep/open-knowledge — Open Knowledge is a desktop and web workspace for browsing, searching and visually editing folders of markdown notes.… gamedev-skills/awesome-gamedev-agent-skills — This repository is a curated collection of portable agent skills that teach AI coding assistants how to build games.… kkkkhazix/khazix-skills — This project is a collection of specialized toolsets for AI research automation, local storage analysis, and prompt… addyosmani/agent-skills — Agent-skills is a collection of structured instructions and behavioral personas designed to standardize how AI coding… michael-denyer/pstack-claude — pstack-claude is a plugin and skills pack for AI coding assistants. It bundles rigorous engineering workflows,…
Agentic Resource Registry is a self-hosted catalog where teams publish, version, review and discover reusable coding agent resources, including agents, skills, tool servers, hooks, prompts and sandboxes. It also stores and serves Model Context Protocol tool servers alongside the other resource types. Organizations run it on their own infrastructure, so shared resources and audit data stay under internal control. Submitted versions go through a review process in which reviewers inspect redacted files and differences, discuss changes, and approve or request edits. Publishing happens only after
Open Knowledge is a desktop and web workspace for browsing, searching and visually editing folders of markdown notes. Notes stay as plain files on the user's own machine, and the app opens them in a document-style editor with tabs, a file navigator and a graph view of wiki links. It runs from a fresh clone with no configuration, since every environment variable is optional. What sets it apart is how it treats AI agents and teams. Coding agents and other compatible agents can open beside a document and edit the same files, connected through a standard tool protocol or a command-line tool. The
This repository is a curated collection of portable agent skills that teach AI coding assistants how to build games. Each skill is a self-contained folder in the SKILL.md format, so it can be loaded by Claude Code, Cursor, Codex, Copilot, Gemini CLI, Kiro and other compliant agents. Engine-specific skills cover Godot, Unity, Unreal, Roblox, and browser or code-first frameworks, with guidance pinned to a stated engine version. A routing layer sets the collection apart. It scans a project's build files to detect the engine and version, classifies the request by task type, and loads only the mat
Agent-skills is a collection of structured instructions and behavioral personas designed to standardize how AI coding agents perform engineering tasks. It functions as a workflow orchestrator that maps natural language intent to repeatable technical sequences and verification checklists. The project distinguishes itself through the use of specialized markdown-defined roles, such as security auditors or test engineers, to apply targeted domain expertise. It employs an evidence-based verification model that requires runtime data or passing tests as mandatory exit criteria to ensure AI-generated