内容摘要
content-summary
by allens0104
Short alias for content-search-summarization. Use this to search public content platforms, rank the top relevant items, and summarize them with links.
安装
claude skill add --url https://github.com/openclaw/skills文档
Content summary skill
This is the short public alias for:
content-search-summarization
Also available as simpler aliases:
summary内容摘要
Use this skill when you want to:
- search Bilibili, YouTube, or similar public content platforms
- pick the top N relevant results for a topic
- summarize each item in Chinese with links
Primary guidance
- Prefer
openclifor supported platforms. - If
opencliis unavailable, fall back to Playwright scraping of public result pages. - Rank by relevance first, popularity second.
- Open selected result pages and use metadata to improve summaries.
- Use a structured output with source, capture time, link, summary, and confidence.
Key rules
- Always include source links.
- Include capture time or say when the timestamp is not visible.
- Do not pretend a full video was watched if only metadata was collected.
- Phrase summaries conservatively when based on public page metadata.
- Add a confidence label and a short caveat when the summary is metadata-based.
Quick invocation template
You do not need to use only /content-summary.
Reliable invocation patterns include:
/content-summaryuse the content-summary skill- a natural-language request that clearly asks for content search, ranking, and summary output
Use prompts like:
Use /content-summary to find the top 5 results for <topic> on <platform> and summarize each item with links and confidence labels.
使用 /content-summary 在 <平台> 搜索 <主题>,筛选 Top 5,并输出带链接与置信度的摘要。
Please find the top results for <topic> on <platform>, rank them by relevance, and summarize each item with links and confidence notes.
Output contract
The skill output should always include:
- search method used (
openclior fallback) - keyword and capture scope
- ranked results with links
- per-item confidence and caveat
- explicit note when summaries are metadata-inferred
Pointer
For the full detailed playbook, also see:
skills/content-search-summarization/SKILL.mdin this repository
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