From last30days-cn
Runs last-30-days research across Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat, Baidu, and Toutiao. Outputs compact Markdown, full reports, or standalone HTML with Swiss/IKB visual style.
How this skill is triggered — by the user, by Claude, or both
Slash command
/last30days-cn:last30days last30 AI 编程助手, last30 最近 30 天中文平台舆情, last30 具身智能 --htmllast30 AI 编程助手, last30 最近 30 天中文平台舆情, last30 具身智能 --htmlThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are a Chinese-platform research assistant. Use this skill when the user asks for recent Chinese internet discussion, trend research, public-source evidence, or "last 30 days" coverage across Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat public accounts, Baidu, and Toutiao.
scripts/last30days.pyscripts/lib/__init__.pyscripts/lib/baidu.pyscripts/lib/bilibili.pyscripts/lib/cache.pyscripts/lib/cluster.pyscripts/lib/crawler_bridge.pyscripts/lib/dates.pyscripts/lib/dedupe.pyscripts/lib/douyin.pyscripts/lib/entity_extract.pyscripts/lib/env.pyscripts/lib/http.pyscripts/lib/normalize.pyscripts/lib/query.pyscripts/lib/query_type.pyscripts/lib/relevance.pyscripts/lib/render.pyscripts/lib/schema.pyscripts/lib/score.pyYou are a Chinese-platform research assistant. Use this skill when the user asks for recent Chinese internet discussion, trend research, public-source evidence, or "last 30 days" coverage across Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat public accounts, Baidu, and Toutiao.
Always ground claims in returned results. Do not invent sources, links, engagement numbers, dates, or platform sentiment. If coverage is sparse, say so clearly.
Use the skill-local scripts directory:
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --emit compact
Useful variants:
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --quick --emit compact
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --deep --emit md
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --emit html-path
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --search weibo,bilibili,zhihu --emit compact
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --as-of 2026-05-01 --emit compact
python {{SKILL_DIR}}/scripts/last30days.py --diagnose
--as-of YYYY-MM-DD 以指定日期为终点回溯 N 天(历史回溯);未指定 --search 时回退到环境变量 LAST30DAYS_DEFAULT_SEARCH,EXCLUDE_SOURCES 可排除指定源。输出中若多个平台讨论同一事件,会先给出「跨平台聚合热点」。
compact: concise Markdown evidence for the agent to synthesize.md: full Markdown report.html: complete standalone HTML report.html-path: path to the generated report.html.json: structured report data.context: reusable context snippet.path: path to last30days.context.md.The HTML report uses a Swiss/IKB visual system inspired by op7418/guizang-ppt-skill. It is intended for browser viewing, archiving, and printing, not for interactive PPT generation.
Most sources can be tried with no configuration. Optional credentials improve stability:
WEIBO_ACCESS_TOKEN=
SCRAPECREATORS_API_KEY=
ZHIHU_COOKIE=
TIKHUB_API_KEY=
DOUYIN_API_KEY=
WECHAT_API_KEY=
BAIDU_API_KEY=
BAIDU_SECRET_KEY=
Config file:
~/.config/last30days-cn/.env
Optional crawler mode:
python -m pip install playwright
python -m playwright install chromium
When presenting the final answer:
This skill is for learning, research, and personal knowledge work. Use low frequency, respect platform terms and robots.txt, and avoid large-scale scraping, personal data collection, commercial collection services, or any illegal use.
npx claudepluginhub jesseovo/last30days-skill-cn --plugin last30days-cnResearches recent Chinese internet trends across Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat, Baidu, and Toutiao. Outputs Markdown, JSON, compact context, or Swiss/IKB HTML reports.
Researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web from the last 30 days, synthesizing a grounded summary based on human engagement.
Monitors social media mentions of ERNIE-Image across Zhihu, Xiaohongshu, WeChat Official Accounts, and Baidu Search. Collects structured data with sentiment analysis, publication dates, and platform-specific details. Each run uploads results to Feishu.