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Last30days Cn

CommunityPopular
Jesseovo
last30days-cn

Chinese-platform last-30-days research skill covering Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat, Baidu, and Toutiao. Includes Markdown, JSON, compact context, and Guizang-inspired Swiss/IKB HTML report output.

Overview

PublisherJesseovo
Repositorylast30days-skill-cn
Skill namelast30days-cn
Stars
1.8K
Forks
189
Bundled files
93
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 93 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Jesseovo on GitHub. Read the source before you install it.

Installation

Install the Last30days Cn AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Jesseovo/last30days-skill-cn.git \
  .claude/skills/last30days-cn
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Last30days Cn in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Last30days Cn on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Last30days Cn is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

last30days-cn

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.

Core Rule

Always ground claims in returned results. Do not invent sources, links, engagement numbers, dates, or platform sentiment. If coverage is sparse, say so clearly.

Run

Use the skill-local scripts directory:

bash
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --emit compact

Useful variants:

bash
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 "{{USER_TOPIC}}" --refresh --emit compact
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --no-cache --emit compact
python {{SKILL_DIR}}/scripts/last30days.py --diagnose
python {{SKILL_DIR}}/scripts/last30days.py --diagnose --emit json
python {{SKILL_DIR}}/scripts/last30days.py setup

--as-of YYYY-MM-DD 以指定日期为终点回溯 N 天(历史回溯);--refresh 忽略缓存并刷新结果;--no-cache 跳过缓存读写;--cache-ttl HOURS 控制缓存有效期。未指定 --search 时回退到环境变量 LAST30DAYS_DEFAULT_SEARCHEXCLUDE_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」。

输出契约

  • Preserve the first engine badge line exactly, e.g. 🌐 last30days-cn v... · 数据截至 ...; if it ends with · 缓存, mention that the evidence is cached.
  • Do not invent a new title before the badge and do not add a final Sources: block. Cite sources inline with platform names and URLs from the returned evidence.
  • Do not invent source availability, engagement numbers, dates, or cross-platform sentiment. If a source is unavailable or sparse, say that directly.
  • Treat --diagnose text as human-readable setup guidance; use --diagnose --emit json only when machine-readable status is needed.

Output Modes

  • 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.

查询类型路由提示

  • Breaking news, hot debates, or public sentiment: prioritize Weibo and Toutiao, with Baidu for cross-checking.
  • Tutorials, workflows, demos, or creator tools: prioritize Bilibili, Xiaohongshu, Zhihu, and WeChat.
  • Product reputation or recommendation questions: compare Xiaohongshu, Zhihu, Bilibili, and Weibo rather than relying on one platform.
  • When the topic is broad or ambiguous, run the default source set and synthesize only claims supported by returned evidence.

Configuration

Most sources can be tried with no configuration. Optional credentials improve stability:

ini
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:

text
~/.config/last30days-cn/.env

Optional crawler mode:

bash
python -m pip install playwright
python -m playwright install chromium

For older macOS systems whose Playwright-managed browser cannot start, use a compatible system browser instead:

bash
export LAST30DAYS_BROWSER_PATH="/Applications/Chromium.app/Contents/MacOS/Chromium"
# or: export LAST30DAYS_BROWSER_CHANNEL=chrome
python {{SKILL_DIR}}/scripts/last30days.py --diagnose

Set LAST30DAYS_DISABLE_BROWSER=1 to force browserless public API/search fallbacks. The --diagnose output reports the selected browser mode and path.

First-time setup helper:

bash
python {{SKILL_DIR}}/scripts/last30days.py setup

Synthesis Guidance

When presenting the final answer:

  1. State the date range and the active sources.
  2. Separate confirmed findings from weak or sparse signals.
  3. Cite platform and URL for important claims.
  4. Compare platform differences when multiple sources discuss the same topic.
  5. Mention unavailable or failed sources if that affects confidence.
  6. Keep the final answer in Chinese unless the user requests otherwise.

Compliance

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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 33 more files.

Frequently asked questions

What does the Last30days Cn AI skill do?

Chinese-platform last-30-days research skill covering Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat, Baidu, and Toutiao. Includes Markdown, JSON, compact context, and Guizang-inspired Swiss/IKB HTML report output.

Why use Last30days Cn on TypingMind?

Because you install it once and use it with any model. Last30days Cn is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Last30days Cn in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jesseovo/last30days-skill-cn/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Last30days Cn?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Last30days Cn?

As many as you like. As long as a model supports skills, you can use Last30days Cn with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Last30days Cn AI skill free?

Yes. It is published on GitHub by Jesseovo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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