菜单
Use Jina AI APIs for converting URLs to LLM-friendly Markdown (Reader) and searching the web (Search).
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Best practices for AI-driven English-to-Chinese translation. This skill should be used when the user asks to "translate to Chinese", "update the Chinese translation", "improve Chinese translation", "fix translation quality", "review Chinese translation", or when translating any English text into Chinese. Also applies when polishing an existing Chinese translation of English content.
This skill should be used when sending images, files, or notifications back to the user via messaging platforms (Discord, Feishu, Telegram, etc.) through cc-connect. TRIGGER when agent generates a plot/chart/screenshot and wants to show the user; agent creates a report/PDF/file the user should receive; agent needs to proactively notify the user (e.g. task completed, alert, reminder); user asks to "send image", "show me the chart", "notify me", "send the file", "send to Telegram", "show plot in Discord".
Browser automation CLI for AI agents. Use when needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. TRIGGER when user requests to "open a website", "fill out a form", "click a button", "take a screenshot", "debug this in browser", "scrape data from a page", "test this web app", "login to a site", "frontend UI/UX aesthetics", "automate browser actions", or any task requiring programmatic web interaction.
Review common AI slops of defensive programming patterns, avoid silent errors. TRIGGER when reviewing code for defensive anti-patterns, writing fail-fast code, or auditing error handling quality.
Guide for writing ast-grep rules to perform structural code search and analysis. This skill should be used when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search, or when a simple grep/glob search is insufficient for structural code pattern matching.
This skill should be used when the user asks about "code complexity", "cyclomatic complexity", "cognitive complexity", "code metrics", "maintainability index", "code coverage", or when measuring code quality quantitatively. Provides metrics thresholds and measurement techniques.
| name | jina-ai |
| description | Use Jina AI APIs for converting URLs to LLM-friendly Markdown (Reader) and searching the web (Search). |
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.
Dependencies: Requires requests.
pip install requests python-dotenv
API Key Configuration (Recommended): Jina APIs offer higher limits with an API key (JINA_API_KEY).
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
The script scripts/jina_tools.py supports read and search operations.
Convert a URL into clean Markdown.
python3 scripts/jina_tools.py read "<url>"
Example:
python3 scripts/jina_tools.py read "https://en.wikipedia.org/wiki/Large_language_model"
Search the web and return the top results converted to Markdown.
python3 scripts/jina_tools.py search "<query>"
Example:
python3 scripts/jina_tools.py search "What is Jina AI?"
The script outputs results in JSON format, containing title, URL, and content_markdown.