Agent skill · AI & Agents

jina-ai

Use Jina AI APIs for converting URLs to LLM-friendly Markdown (Reader) and searching the web (Search).

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill jina-ai-closedloop-technolog-awesome-deep-researc-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Path: skills/ai-llm/jina-ai-closedloop-technolog-awesome-deep-researc-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Jina AI Skill This skill integrates Jina AI's Reader (r.jina.ai) and Search (s.jina.ai) APIs to convert URLs and web search results into clean, LLM-friendly Markdown. ## Setup 1. **Dependencies:** Requires `requests`. ```bash pip install requests python-dotenv ``` 2. **API Key Configuration (Recommended):** Jina APIs offer higher limits with an API key (JINA_API_KEY). ```bash read -p "Enter your Jina API key (optional, press Enter to skip): " JINA_KEY if [ ! -z "$JINA_KEY" ]; then echo "JINA_API_KEY=$JINA_KEY" >> .env if [ -f .gitignore ] && ! grep -q ".env" .gitignore; then echo ".env" >> .gitignore; fi echo "API key saved to .env." fi ``` ## Usage The script `scripts/jina_tools.py` supports `read` and `search` operations. ### 1. Read URL (Jina Reader) Convert a URL into clean Markdown. ```bash python3 scripts/jina_tools.py read "<url>" ``` **Example:** ```bash python3 scripts/jina_tools.py read "https://en.wikipedia.org/wiki/Large_language_model" ``` ### 2. Search Web (Jina Search) Search the web and return the top results converted to Markdown. ```bash python3 scripts/jina_tools.py search "<query>" ``` **Example:** ```bash python3 scripts/jina_tools.py search "What is Jina AI?

What's inside
Steps it walks through
  1. Setup
  2. Usage
  3. 1. Read URL (Jina Reader)
  4. 2. Search Web (Jina Search)
  5. Output
Ships with 1 file
  • metadata.json
Commands it runs
pip install requests python-dotenv
read -p "Enter your Jina API key (optional, press Enter to skip): " JINA_KEY
if [ ! -z "$JINA_KEY" ]; then
echo "JINA_API_KEY=$JINA_KEY" >> .env
if [ -f .gitignore ] && ! grep -q ".env" .gitignore; then echo ".env" >> .gitignore; fi
echo "API key saved to .env."
fi
python3 scripts/jina_tools.py read "<url>"
python3 scripts/jina_tools.py read "https://en.wikipedia.org/wiki/Large_language_model"
python3 scripts/jina_tools.py search "<query>"
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About this skill
What does the jina-ai skill do?

Use Jina AI APIs for converting URLs to LLM-friendly Markdown (Reader) and searching the web (Search).

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill jina-ai-closedloop-technolog-awesome-deep-researc-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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