jina

What This Skill Does

The Jina AI skill enables OpenClaw to perform advanced web research by connecting to Jina AI's specialized infrastructure. It serves as a bridge for three primary tasks: content extraction (Reader), real-time web retrieval (Search), and autonomous multi-step investigation (DeepSearch). By converting complex websites, PDFs, and dynamic JS-rendered pages into clean, LLM-optimized Markdown, it allows the agent to ingest information efficiently without suffering from hallucinations caused by malformed HTML. The skill is designed to handle the complexity of the modern web while maintaining strict security via an API key-based authentication model.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/adhishthite/jina-ai Once installed, you must provide your API key by setting the JINA_API_KEY environment variable. You can obtain your key by visiting the Jina AI dashboard at https://jina.ai/.

Use Cases

• Research & Summarization: Quickly summarize long-form articles, technical whitepapers, or PDF reports without leaving your agent's chat interface.
• Market Analysis: Use the Search endpoint to find the latest news or financial data and synthesize it into a coherent report.
• Complex Problem Solving: Leverage the DeepSearch functionality to break down multi-faceted inquiries that require visiting multiple sites and cross-referencing information.
• Content Conversion: Transform chaotic web pages into structured Markdown for easier local archiving or data processing.

Example Prompts

1. "Read the article at https://example.com/long-article and provide a bulleted summary of the key findings."
2. "Search for the latest updates on quantum computing breakthroughs from the last 24 hours and explain how they impact current cryptography."
3. "Use DeepSearch to analyze the differences between React and Vue, specifically focusing on performance benchmarks from 2024."

Tips & Limitations

• Token Usage: Because Jina cleans and truncates content for LLM ingestion, it is very efficient, but be mindful of deep-searching large numbers of pages, as this consumes API quota quickly.
• Privacy: As this skill uses third-party APIs, ensure you do not send private or sensitive URLs through the service if your privacy policy forbids data processing outside of your local machine.
• Autonomy: If you find the agent is searching too frequently, you can disable model-triggered invocations in the OpenClaw settings to move to a manual-only mode.