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content-search-summarization

Use this skill when asked to search public content platforms such as Bilibili or YouTube, pick the top relevant results for a topic, and summarize each item with links and brief overviews. Uses Runtime-aware routing — opencli first, fetch second, browser last.

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Content search summarization skill

Use this skill when the user asks for tasks such as:

  • "Find the top 5 videos about X on Bilibili and summarize them"
  • "Search YouTube for a topic and give me the best results"
  • "Look up public content on a supported site and summarize the top items"

Execution routing (critical)

Before attempting any search, classify the platform and pick the best execution path:

if opencli supports the platform:
    use opencli (deterministic, zero LLM cost, session-reuse)
elif public API exists:
    use fetch (structured JSON, no rendering needed)
elif site is SSR and publicly accessible:
    use web_fetch or Playwright (metadata extraction)
else:
    require login-state browser or declare blocked

This is the single most important decision in this skill.

Platform registry

Platformopencli commandPublic APISSR fetchAccess tier
Bilibiliopencli bilibili search --keyword <kw>api.bilibili.compartialT1: opencli preferred
YouTubeopencli youtube search --keyword <kw>YouTube Data APIpartialT1: opencli preferred
小红书opencli xiaohongshu search --keyword <kw>❌❌ SPA shellT2: opencli required
抖音opencli tiktok search --keyword <kw>❌❌ JS obfuscatedT2: opencli required
知乎opencli zhihu search --keyword <kw>❌❌ login-gatedT2: opencli required
微博opencli weibo search --keyword <kw>❌❌T2: opencli required
豆瓣opencli douban search --keyword <kw>❌partialT2: opencli preferred
arXiv❌export.arxiv.org✅ SSRT3: fetch / web_fetch
Wikipediaopencli wikipedia search --keyword <kw>en.wikipedia.org/api✅ SSRT1: any path works
HackerNewsopencli hackernews tophn.algolia.com/api✅ SSRT1: any path works
Redditopencli reddit search --keyword <kw>❌partialT1: opencli preferred
BBCopencli bbc news❌✅ SSRT3: fetch / web_fetch

Access tier definitions

  • T1: multiple working paths; opencli preferred for consistency
  • T2: opencli required; no public fallback available; if opencli is unavailable, declare blocked with explanation
  • T3: public fetch works reliably; opencli optional

When opencli is unavailable

If opencli is not installed or Browser Bridge is not connected:

  • for T1 platforms: fall back to fetch or web_fetch
  • for T2 platforms: stop immediately and tell the user — do not attempt blind scraping
  • for T3 platforms: use fetch / web_fetch directly
  • always note which execution path was used in the output

Primary strategy

  1. Check the platform registry above and pick the correct execution path.
  2. For opencli: run the command and parse structured output (JSON/YAML).
  3. For fetch/web_fetch: construct the appropriate URL and extract metadata.
  4. Rank results by practical relevance, not just raw view count:
    • exact keyword match in title
    • clarity of topic focus
    • likely tutorial / overview value
    • recency and popularity as secondary hints
  5. Always include source links.

Supported workflow

1. Search

For opencli-supported platforms:

opencli bilibili search --keyword "<keyword>" --limit 10 -f json
opencli youtube search --keyword "<keyword>" --limit 10 -f json
opencli xiaohongshu search --keyword "<keyword>" --limit 10 -f json

For public API platforms:

https://api.bilibili.com/x/web-interface/search/type?keyword=<keyword>&search_type=video
https://hn.algolia.com/api/v1/search?query=<keyword>

For SSR platforms:

Use web_fetch to load the search result page and extract metadata.

2. Filter and rank

Prefer results that:

  • directly match the requested topic
  • are clearly about the requested concept rather than loosely related content
  • look like tutorials, explainers, or practical overviews

Avoid results that:

  • are generic entertainment content that only happens to mention the keyword
  • are clearly unrelated despite matching a broad term like AI

3. Fetch more detail

When possible, open each selected result page and collect:

  • page title
  • meta description
  • page description
  • tags / keywords
  • lightweight stat text if available

Use those fields to produce a summary that is better than title-only guessing.

4. Summarize

For each selected item, provide:

  • rank
  • original title
  • optional translated / normalized title if helpful
  • platform / source
  • capture time when available
  • source link
  • author / uploader if available
  • a short summary of what the item is likely about
  • confidence level: high, medium, or low
  • a brief caveat when the summary is inferred from metadata rather than full content
  • execution path used (opencli / fetch / web_fetch / browser)

Be clear when the summary is inferred from metadata and page description rather than a full transcript.

Output format

Return a compact ranked list.

Recommended structure:

  1. execution path used and why
  2. query keyword and capture time
  3. a ranked list of top items
  4. a short summary paragraph for each item

Recommended per-item fields:

  • Rank
  • Title
  • Platform
  • Link
  • Author
  • Captured at
  • Summary
  • Confidence
  • Caveat
  • Execution path

Proven example patterns

Bilibili via opencli (recommended)

opencli bilibili search --keyword "AI agent" --limit 10 -f json

Then filter the top 5 most relevant, open detail pages for metadata enrichment.

arXiv via web_fetch (public SSR)

web_fetch https://arxiv.org/search/?query=AI+agent&searchtype=all

Extract paper titles, authors, abstracts from the SSR result page.

Xiaohongshu (opencli required)

opencli xiaohongshu search --keyword "AI skill" --limit 10 -f json

If opencli is not available, declare: "小红书 is a T2 platform that requires opencli with Browser Bridge. Public scraping is not reliable."

Key cautions

  • Do not claim you watched the whole video unless you actually processed a transcript or full content.
  • Phrase summaries as "主要在讲 / 偏向 / 看起来聚焦于" when based on metadata.
  • Keep links and titles accurate.
  • For broad keywords like AI, narrow to the user's likely intent if enough exact-match results exist.
  • If publish time or exact timestamp is unavailable, explicitly say it was not visible in the captured result.
  • Add one explicit evidence note per item (for example, title keyword match, description snippet, or metadata field used).
  • Never attempt blind scraping on T2 platforms without opencli. Declare blocked instead.

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