skilldock
Centralizes skill and MCP server management across multiple AI coding assistants, reducing context switching and ensuring consistent tool configurations acro…
SkillDock is an AI skill manager and skill management desktop app for Claude Code, Cursor, Codex, Windsurf, Gemini CLI, and other AI coding tools. Install, organize, edit, sync, and update Skills, MCP servers, and plugins with real-directory scanning and Git-aware Diff previews. AI Skill Manager / Skill 管理软件 / MCP 管理工具.
- Organize and manage multiple AI coding skills across Claude, Cursor, and other tools
- Scan directories to automatically discover and sync new MCP servers and plugins
- Preview skill changes with Git-aware diffs before updating your AI tool configurations
Centralizes skill and MCP server management across multiple AI coding assistants, reducing context switching and ensuring consistent tool configurations across development teams.
Engineering teams using Claude Code, Cursor, or Windsurf seeking unified skill and plugin governance.
https://github.com/wanghuan9/skilldock
By wanghuan9
How to Get It
claude plugins install wanghuan9/skilldock
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me organize and manage multiple AI coding skills across Claude, Cursor, and other tools
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 402 GitHub stars; contributors unknown; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 402 GitHub stars; contributors unknown; last commit 0d ago; license no license.