skill-manager
Centralizes AI skill and MCP server management across multiple development tools, reducing configuration drift and update overhead for teams using heterogene…
SkillDock is a desktop app for managing AI skills, MCP servers, and plugin bundles across coding tools. It installs, updates, edits, and syncs skills with Git-aware tracking of upstream changes and local modifications, and offers one-click installs from skills.sh, skillsmp, and MCP.Directory. Supports Claude Code, Codex, Cursor, Windsurf, Gemini CLI, and GitHub Copilot.
- Ask Claude to update custom AI skills across multiple code editors from a central dashboard
- Automate synchronization of MCP servers to Cursor, Windsurf, and GitHub Copilot simultaneously
- Generate organized skill library with Git-aware version tracking for team development tools
Centralizes AI skill and MCP server management across multiple development tools, reducing configuration drift and update overhead for teams using heterogeneous AI-assisted development environments.
Engineering teams standardizing AI tool usage across Cursor, Claude, Copilot, and other assistants within a shared codebase.
https://github.com/wanghuan9/skill-manager
By wanghuan9
How to Get It
Download the SkillDock desktop app from https://github.com/wanghuan9/skill-manager/releases
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Update custom AI skills across multiple code editors from a central dashboard
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 107 GitHub stars; contributors unknown; last commit 1d 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): 107 GitHub stars; contributors unknown; last commit 1d ago; license no license.