Skill Studio: Open-Source Desktop App for Managing Claude AI Agent Skills

Skill Studio: A Tool for Claude AI Skill Management
Skill Studio is a free, open-source desktop application for macOS designed to help developers discover and manage skills for Claude AI agents. The tool was created by a developer who uses Claude Code regularly and wanted a more efficient way to handle skills.
Key Features
- Browse skill repositories from multiple community sources including Anthropic and Vercel
- Preview skill documentation with full markdown rendering capability
- One-click installation via
npx skills addor manual copy to~/.claude/skills/ - Add custom GitHub repositories as skill sources
- Search and filter skills by name or installation status
- Favorite skills and repositories for quick access
The application is available on GitHub at https://github.com/onmyway133/skill-studio and is completely free and open source. The creator is actively seeking feedback and feature suggestions from the community.
📖 Read the full source: r/ClaudeAI
👀 See Also

SecureCode Audit: A Linux Server Security Auditor Built with Claude Code
An indie dev built SecureCode Audit using Claude Code — run one SSH command, get a 22-check security report with prioritized fixes. First 30 signups get the full audit free.

Inline Visualizer: Local AI Models Can Now Render Interactive HTML Visualizations
Inline Visualizer is a BSD-3 licensed plugin for Open WebUI that enables any local AI model with tool calling support to render interactive HTML/SVG visualizations directly in chat, with a JavaScript bridge allowing elements to send messages back to the AI.

OpenClaw memory loss fix using Mem0 plugin
OpenClaw agents experience memory loss due to context compaction rewriting files like MEMORY.md. The Mem0 plugin solves this by moving memory outside the context window with auto-recall and auto-capture features.

Building CLIs for AI Agents: Design Principles from Google's gws CLI
Google's gws CLI demonstrates how to design command-line interfaces specifically for AI agents, prioritizing raw JSON payloads over human-friendly flags and implementing safety rails against hallucinations.