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however-yirhowever-yir/claude-skills/last30days-cn-skill/SKILL.md

last30days

Skill2 starsChanged 6 months agoMITView on GitHub

Analyzes the last 30 days of trends across X/Twitter, Weibo, Xiaohongshu, and Douyin, then returns concise Chinese reports with cross-platform overlaps, regional differences, and emerging signals. Use when the user asks about recent trends, social buzz, internet-native topics, China-vs-global narratives, or fast-moving platform analysis.

We split this skill into the rules it gives an agent

10 rules. 0 are common, 6 are distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 42 edited versions we read keep these.

  • 6

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use only the four platforms above as evidence.

    line 31
  2. Distinctive:

    Never cite Reddit, Hacker News, Polymarket, YouTube, Instagram, TikTok, Bluesky, Truth Social, or generic blogs/news sites.

    line 32
  3. Distinctive:

    Keep the evidence window to the last 30 days.

    line 34
  4. Distinctive:

    If a platform is unavailable, say so explicitly and lower confidence instead of silently replacing it with another source.

    line 36
  5. Distinctive:

    Before running tools for any real request, read these files in order:

    line 40
  6. Very specific:

    Use Bash to run the bundled script for all four platforms (X / Weibo / Xiaohongshu / Douyin).

    line 49
  7. Very specific:

    Do not use WebSearch as a primary data path in this variant.

    line 50
  8. Very specific:

    Use Read for references and local outputs.

    line 51
  9. Very specific:

    Use AskUserQuestion only when the user gave an underspecified scope and a wrong assumption would materially change the report.

    line 52
  10. Distinctive:

    Before any tool call, briefly restate:

    line 56

“Common” is measured: kept by at least 6 in 10 of the 42 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

last30days

This local variant is a trend-analysis skill, not a general web research skill.

What This Skill Does

Analyze the last 30 days of discussion across:

  • X / Twitter
  • Weibo
  • Xiaohongshu / RED
  • Douyin

Return a structured report in Chinese focused on:

  • Top trends
  • Cross-platform overlaps
  • China vs global narrative differences
  • Emerging signals
  • High-level takeaways

Non-Negotiable Rules

  • Use only the four platforms above as evidence.
  • Never cite Reddit, Hacker News, Polymarket, YouTube, Instagram, TikTok, Bluesky, Truth Social, or generic blogs/news sites.
  • Douyin and TikTok are not interchangeable.
  • Keep the evidence window to the last 30 days.
  • Output in Chinese.
  • If a platform is unavailable, say so explicitly and lower confidence instead of silently replacing it with another source.

Read These Files

Before running tools for any real request, read these files in order:

  1. references/source-policy.md
  2. references/backend-status.md
  3. references/execution-workflow.md
  4. references/report-template.md

Tooling Strategy

  • Use Bash to run the bundled script for all four platforms (X / Weibo / Xiaohongshu / Douyin).
  • Do not use WebSearch as a primary data path in this variant.
  • Use Read for references and local outputs.
  • Use AskUserQuestion only when the user gave an underspecified scope and a wrong assumption would materially change the report.

Start Every Run Like This

Before any tool call, briefly restate:

  • topic or scope
  • time window = last 30 days
  • platforms = X / Weibo / Xiaohongshu / Douyin
  • output language = Chinese

Then follow references/execution-workflow.md.

Download now (ZIP)

  • Other versions42 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 42

    1. mvanhorn/last30days-skill★ 66ksame name
    2. BrianRWagner/ai-marketing-skills★ 440same name
    3. BrianRWagner/ai-marketing-claude-code-skills★ 408same name
    4. AlekseiUL/sprut-agent-kit★ 66same name
    5. eigent-ai/agent-skills★ 27same name
    6. AlekseiUL/heisenberg-team★ 17same name
    7. coopersimson96/ai-content-system★ 17same name
    8. AlekseiUL/heisenberg-team-GPT★ 9same name
    9. xfstudio/skills★ 9same name
    10. BrianRWagner/ai-marketing-openclaw-skills★ 8same name

    32 more not listed

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

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    • +1 more from BrianRWagner
  • In this repository3 other files it gives its agents.

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