Local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma + hybrid search (vector + keyword).
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install raglite-libraryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install raglite-libraryβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/raglite-library/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What RAGLite - Local Expandable Library AI Library can do for your AI workflow
Local-first rag cache: distill directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,556+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing RAGLite - Local Expandable Library AI Library
Help me get started with RAGLite - Local Expandable Library AI Library
Explains what RAGLite - Local Expandable Library AI Library does, walks through the setup, and runs a quick demo based on your current project
Use RAGLite - Local Expandable Library AI Library to local-first RAG cache: distill docs into structured Markdown, then ...
Invokes RAGLite - Local Expandable Library AI Library with the right parameters and returns the result directly in the conversation
What can I do with RAGLite - Local Expandable Library AI Library in my data & analytics workflow?
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RAGLite - Local Expandable Library AI Library extends your AI assistant with the ability to local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma + hybrid search (vector + keyword). Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using RAGLite - Local Expandable Library AI Library as its underlying capability.
RAGLite - Local Expandable Library AI Library works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install RAGLite - Local Expandable Library AI Library once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install RAGLite - Local Expandable Library AI Library, copy the skill folder to `~/.claude/skills/raglite-library/` for use across all your projects, or `.claude/skills/raglite-library/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/raglite-library` or just describe your goal and the AI will pick it up automatically.
RAGLite - Local Expandable Library AI Library has been installed 1,556 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/raglite-library/ for personal use (all projects), or .claude/skills/raglite-library/ for project-specific use. Restart your AI client, then invoke with /raglite-library or let the AI discover it automatically.
RAGLite - Local Expandable Library AI Library supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
RAGLite - Local Expandable Library AI Library is free to install. Check the repository for licensing information.
Local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma + hybrid search (vector + keyword).
Lists the top use cases for RAGLite - Local Expandable Library AI Library, with example commands for each scenario
Automate my data & analytics tasks using RAGLite - Local Expandable Library AI Library
Identifies repetitive steps in your workflow and sets up RAGLite - Local Expandable Library AI Library to handle them automatically
RAGLite - Local Expandable Library AI Library is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.
Local Web Search
Free local web search via DuckDuckGo HTML scraping with no API key. Use when web_search tool is unavailable or missing API keys, and you need fast query resu...