Search Skills Pro
Description
As the AI ecosystem shifts toward autonomous local agents (e.g., AutoGPT, Claude Computer Use, custom LLM tools), developers are amassing massive directories of "Skills"—snippets of Markdown (.md), JavaScript (.js), TypeScript (.ts), and Python scripts that give agents their capabilities.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
SSearch - Professional Local Skills Engine
**The ultimate, lightning-fast, secure search engine and local management hub for AI Agent Skills.**
Designed for AI developers, researchers, and engineers who manage massive local directories of tools, scripts, and prompts.
[](https://opensource.org/licenses/MIT) [](https://nodejs.org/) [](https://reactjs.org/) [](https://tailwindcss.com/)
🧐 Why SSearch? (The "Skill Clutter" Crisis)
As the AI ecosystem shifts toward autonomous local agents (e.g., AutoGPT, Claude Computer Use, custom LLM tools), developers are amassing massive directories of "Skills"—snippets of Markdown (`.md`), JavaScript (`.js`), TypeScript (`.ts`), and Python scripts that give agents their capabilities.
**The pain points:**
- Discoverability: Relying on OS file explorers or basic IDE search to find the exact skill you need is slow and lacks semantic understanding of the skill's purpose.
- Security Risks: Downloading community skills from the internet and granting them execution rights is extremely dangerous.
- Context Window Management: Injecting massive, unoptimized skills into your LLM context causes token bloat and hallucination.
**SSearch is the elegant solution.** It indexes your skills for sub-millisecond search, calculates token constraints, and features a powerful static analysis engine that flags unsafe commands *before* your agent executes them.
📸 Platform Interface & Experience
SSearch isn't just a backend tool—it features a stunning, state-of-the-art developer interface built with React and Tailwind v4.
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