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skillkit vs teamai-cli

Package manager for AI agent skills — install from 400K+ skills across 31 sources, auto-translate between 46 agents' incompatible formats, security-scan on install, sync to every agent at once. — versus — Tencent's team-level agent config manager: skills, rules, agents, hooks, MCP and env live in a shared git repo and sync into Claude Code, Codex, Cursor, CodeBuddy, OpenCode and more on every session.

The curated verdict

skillkit installs and translates skills across agents from public registries; teamai distributes a team's private skills/rules/MCP and keeps them synced, with skill install only one part of the job.

skillkitteamai-cli
Stars1.5k3.6k
Forks142230
LanguageTypeScriptTypeScript
LicenseApache-2.0NOASSERTION
Last activity3 months agoyesterday
Topicscoding, skillsskills, coding
Curated connections135

skillkit — the curator's take

Use it the moment skills must live on more than one agent — you write Claude SKILL.md, a teammate runs Cursor: author once, `skillkit sync` translates and deploys everywhere; the install-time security scan is a real feature now that skill marketplaces are a prompt-injection vector. NOT needed if you're all-in on a single agent — Claude Code's first-party plugin/marketplace flow is simpler and better supported. Format translation is lossy at the edges (agent-specific frontmatter, hooks, tool references), so verify ported skills actually trigger; and treat the optional mesh/messaging/REST extras as experiments, not infrastructure.

teamai-cli — the curator's take

The right tool when the unit is a team, not a developer: an admin curates one 'shared-experience' repo, `teamai init <repo>` installs it per project or per user, and every agent session auto-pulls updates. Coverage is broad (Claude Code, Codex, Cursor, CodeBuddy, WorkBuddy, OpenCode, OpenClaw, Hermes…) and the beta Context/Improvement layers (learnings, codebase graph, sessions, dashboard) push toward a company-wide agent memory. Solo developers should look at apm or skillkit instead — the git-repo-plus-write-access model is overhead without teammates. Tencent-first ecosystem (CodeBuddy, CNB, TGit) — check the matrix for your harness before committing.