A specialized RAG tool for retrieving deep technical and artistic profiles from a curated 20-artist knowledge base.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rag-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install rag-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Knowledge Base Retrieval: AI Art & Technology Research?
This skill enables Openclaw Skills users to perform advanced Retrieval-Augmented Generation (RAG) queries against a specialized knowledge base. It bridges the gap between technology and art by hosting deep profiles of 20 innovative artists, such as Cedric Thorne and Kaoru Tsukimisato, covering domains from magnetic sculptures to nano-painting. The skill facilitates a structured workflow to ensure secure API key management and reliable data retrieval for creative and technical research.
By integrating directly with the Prana service, this skill provides high-fidelity data that is unavailable in general-purpose models. It is designed for developers and researchers who need precise, contextual information about the intersection of digital architectural collapse, kinetic light-shadow, and synthetic biology within an Openclaw Skills environment.
Knowledge Base Retrieval: AI Art & Technology Research Use Cases
- Researching the intersection of technology and art through detailed artist archives.
- Retrieving specific RAG-based technical documentation for creative installations.
- Analyzing cross-disciplinary artistic concepts like Micro-Universe or Digital Collapse.
- Fetching historical purchase and skill usage records within the Openclaw Skills ecosystem.
How Knowledge Base Retrieval: AI Art & Technology Research Works
- The skill checks for the PRANA_SKILL_API_FLAG environment variable in the terminal to verify existing authentication.
- If the flag is missing, the agent initiates a secure three-step confirmation process to fetch a unique api_key from the Prana API.
- Upon explicit user authorization, the key is configured as either a session-based or global environment variable.
- The user provides a query parameter (-q), which the client script (Node.js or Python) transmits to the remote agent-run endpoint.
- The Openclaw Skills agent processes the RAG request against the artist database and returns structured results to the user terminal.
Knowledge Base Retrieval: AI Art & Technology Research Setup
To get started with this skill, ensure you have the Openclaw Skills environment configured. Follow these commands to set up authentication:
# Check if the API flag is already set
env | grep PRANA_SKILL_API_FLAG
# If missing, set the global environment variable (after obtaining your key)
openclaw config set env.PRANA_SKILL_API_FLAG "your_api_key_here"
# Run the retrieval script using Node.js
NODE_OPTIONS=--experimental-default-type=module node scripts/prana_skill_client.js -q "Search query"
Knowledge Base Retrieval: AI Art & Technology Research Data Schema & Taxonomy
The skill organizes its technical and artistic data using a structured metadata taxonomy. The following table describes the primary data elements used during an Openclaw Skills session:
| Data Component | Description |
|---|---|
| PRANA_SKILL_API_FLAG | The mandatory environment variable for session authentication. |
| Artist Profiles | Deep archives of 20 unique artists including technical specifications. |
| Agent Result | Structured JSON output containing the code, message, and RAG data. |
| Purchase History URL | A secure, clickable link to view skill acquisition and order records. |
Knowledge Base Retrieval: AI Art & Technology Research Advanced Features
- Multi-language client support with native scripts for both Node.js 18+ and Python 3.
- Secure, persistent environment variable configuration via the Openclaw Skills configuration manager.
- Integrated error handling for payment prompts, authentication timeouts, and try-limit thresholds.
- Specialized history retrieval via the skill-purchase-history-url endpoint for auditability.
- Strict API key isolation ensures each issued credential for Openclaw Skills remains unique and independent.
SKILL.md
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