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skill-manager

Skill Development Poor
Works inClaude Code
Poor Scanned — metadata only

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.

380 starsFreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

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.

Claude Code Claude Cowork Claude Chat

https://github.com/wanghuan9/skill-manager

By wanghuan9

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
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.

First thing to try

After installing, paste this into Claude:

Update custom AI skills across multiple code editors from a central dashboard
CostFree

Trust Signals Auto-scanned

Stars380Contributors2Last updated2026-08-02Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-12 · scanner vattempted-no-data

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

Ease of Use
1/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score2.30 / 5.00 PoorEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 107 GitHub stars; contributors unknown; last commit 1d ago; license no license.

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