菜单
This skill should be used when users need to scrape hot news topics from Chinese platforms (微博、知乎、B站、抖音、今日头条、腾讯新闻、澎湃新闻), generate summaries, and cite sources. It supports both API-based and direct scraping methods, and offers both extractive and abstractive summarization techniques.
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
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
Access the full suite of CarsXE vehicle data APIs — VIN decoding, license plate lookup, market value, vehicle history, safety recalls, lien/theft checks, OBD-II diagnostic code decoding, vehicle images, international VIN decoding, Year/Make/Model lookups, and plate/VIN OCR from images. Use this skill any time the user asks about a vehicle by VIN, plate, make/model, or OBD code. Also triggers for: "what's this car worth", "check for recalls", "vehicle history report", "decode this plate", "what does check engine code X mean", or any automotive data query. Always use this skill when working with CarsXE APIs — do not guess API behavior without it.
Generate images using Google Gemini models (Nano Banana 2 / gemini-3-pro-image-preview). Use when the user asks to create, generate, or make an image, picture, photo, or visual from a text description. Also supports image-to-image generation (modify/edit existing images). Supports multiple aspect ratios (1:1, 16:9, 9:16, 4:3, 3:4) and resolutions up to 4K. Triggers on phrases like "generate an image", "create a picture", "make me a photo", "draw", "visualize", "edit this image", "modify this picture", or any request to produce or transform visual content.
Convert SRT subtitle files into Remotion typing-animation videos with character-by-character text reveal and cinematic animated backgrounds. Use when the user wants a typewriter subtitle effect, SRT-to-video conversion, animated captions, or a Remotion project generated from subtitle files.
Connect an agent to TaskMaster — the coordination layer for the agentic economy. Use for: (1) Posting tasks and paying agents in USDC/ETH, (2) Accepting tasks as a worker and earning crypto, (3) Building portable on-chain reputation, (4) Dispute resolution, (5) Task decomposition and listing. Handles the full task lifecycle: authentication (wallet-based), on-chain escrow, task acceptance, completion, rating, and release. Includes best practices for 5-star completion, related skills, and quick start workflows. Requires a wallet with a small ETH balance on Base, Optimism, or Arbitrum.
Notion via notion-cli — a Rust CLI + MCP server for Notion API 2025-09-03+. Three-tier agent integration (read-only default, opt-in runtime writes, opt-in admin lifecycle) with rate limiting, response-size cap, untrusted-source output envelope, per-tier JSONL audit logs, and --check-request dry-runs. Supports the new data-source model, 22 property types, 12 block types, admin schema mutation, relation wiring, dedicated page-move endpoint, db update, and users me (v0.4).
| name | news-hot-scraper |
| description | This skill should be used when users need to scrape hot news topics from Chinese platforms (微博、知乎、B站、抖音、今日头条、腾讯新闻、澎湃新闻), generate summaries, and cite sources. It supports both API-based and direct scraping methods, and offers both extractive and abstractive summarization techniques. |
自动爬取国内热点新闻信息,支持多种平台(微博、知乎、B站、抖音、今日头条、腾讯新闻、澎湃新闻),能够生成新闻摘要并注明出处。提供 API 和直接爬取两种数据获取方式,以及提取式和生成式两种摘要生成方案。
根据用户输入的主题或关键词,从支持的平台获取热点新闻数据。支持两种方式:
对获取的新闻内容进行智能摘要,支持两种技术方案:
google/mt5-small-chinese),生成更自然的摘要为每条新闻清晰标注:
当用户需要:
根据用户需求和实际情况选择:
参考 references/platforms.md 了解各平台的爬取策略和注意事项。
使用 scripts/news_scraper.py 脚本进行数据爬取:
# 使用 API 方式获取多平台热点
python scripts/news_scraper.py --mode api --platforms weibo,zhihu --limit 20
# 直接爬取特定平台
python scripts/news_scraper.py --mode scrape --platform weibo --limit 10
# 根据主题爬取新闻
python scripts/news_scraper.py --mode scrape --keyword "人工智能" --platforms weibo,zhihu --limit 15
使用 scripts/news_summarizer.py 脚本生成摘要:
# 提取式摘要(快速)
python scripts/news_summarizer.py --method extractive --input news_data.json --output summary.json
# 生成式摘要(质量更好)
python scripts/news_summarizer.py --method abstractive --input news_data.json --output summary.json
参考 references/summarization_methods.md 了解不同摘要方法的原理和适用场景。
将结果整理成结构化的格式(JSON/Markdown),包含:
google/mt5-small-chinese)A: 对于快速获取多平台热点,优先使用 API(如全网热榜聚合 API),它们通常已经处理了反爬虫问题。如果需要更详细的内容或特定平台的数据,再使用直接爬取。
A: 提取式摘要速度快,但可能不够连贯;生成式摘要质量更高,但需要更长时间。根据使用场景选择:
A: 参考 references/platforms.md 中的反爬虫处理建议,包括:
未来可以考虑添加:
pip install requests beautifulsoup4
pip install jieba
pip install transformers torch
注意: ClawHub 不会自动安装依赖,用户需要根据上述说明手动安装所需的 Python 包。