Provides answers by retrieving and synthesizing information from local text or markdown files using a retrieval-augmented generation approach.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install hk101-living-ragOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install hk101-living-ragβ 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/hk101-living-rag/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What HK-101 Living RAG can do for your AI workflow
Answers by retrieving directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,068+ 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 HK-101 Living RAG
Help me get started with HK-101 Living RAG
Explains what HK-101 Living RAG does, walks through the setup, and runs a quick demo based on your current project
Use HK-101 Living RAG to answers by retrieving and synthesizing information from local text ...
Invokes HK-101 Living RAG with the right parameters and returns the result directly in the conversation
What can I do with HK-101 Living RAG in my documents & notes workflow?
Lists the top use cases for HK-101 Living RAG, with example commands for each scenario
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HK-101 Living RAG extends your AI assistant with the ability to provides answers by retrieving and synthesizing information from local text or markdown files using a retrieval-augmented generation approach. 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 HK-101 Living RAG as its underlying capability.
HK-101 Living RAG 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 HK-101 Living RAG 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.
Getting started with HK-101 Living RAG takes about two minutes. Place the skill at `~/.claude/skills/hk101-living-rag/` (personal, all projects) or `.claude/skills/hk101-living-rag/` (project-specific), then restart your AI client. From that point, typing `/hk101-living-rag` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
HK-101 Living RAG has been installed 1,068 times, making it one of the more actively used skills in the Documents & Notes 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/hk101-living-rag/ for personal use (all projects), or .claude/skills/hk101-living-rag/ for project-specific use. Restart your AI client, then invoke with /hk101-living-rag or let the AI discover it automatically.
HK-101 Living RAG supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
HK-101 Living RAG is free to install. Check the repository for licensing information.
Provides answers by retrieving and synthesizing information from local text or markdown files using a retrieval-augmented generation approach.
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Automate my documents & notes tasks using HK-101 Living RAG
Identifies repetitive steps in your workflow and sets up HK-101 Living RAG to handle them automatically
HK-101 Living RAG is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.