Skill News Intelligence logo

Skill News Intelligence

OrganizationPopular
ZJU-REAL
skill-news-intelligence

聚合中文行业媒体、垂类资讯和平台商业动态,按创作者赛道过滤,生成结构化情报简报与可执行选题。 当用户说“行业资讯/深度情报、最近行业动态、每日简报、选题情报、财经/科技/AI 动态”时使用。 本 SKILL 做日级深度资讯;分钟级实时热搜与快速二创选题用 skill-trending-topics。

Overview

PublisherZJU-REAL
RepositoryEasel
Skill nameskill-news-intelligence
Stars
3.5K
Forks
535
Bundled files
4
LicenseApache-2.0
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.

  • 4 bundled files

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

  • Open source

    Published by ZJU-REAL on GitHub. Read the source before you install it.

Installation

Install the Skill News Intelligence 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.
    https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-news-intelligence
  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/ZJU-REAL/Easel.git /tmp/Easel
mkdir -p .claude/skills
cp -r /tmp/Easel/skills/openclaw/skill-news-intelligence .claude/skills/skill-news-intelligence
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill News Intelligence 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 Skill News Intelligence 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 Skill News Intelligence 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.

资讯情报聚合

从中文行业媒体与垂类资讯源抓取深度内容,按创作者赛道过滤, 生成结构化中文情报简报,并给出可操作的选题方向。

与 skill-trending-topics 的分工

skill-trending-topicsskill-news-intelligence(本 SKILL)
抓什么微博/抖音/知乎/头条/B站实时热搜榜中文行业媒体的深度文章 / 快讯
时效分钟级,追热点日级,看行业趋势
用途蹭热点、快速二创选题深度选题、行业观察、内容储备
输出热搜排行 + 二创角度情报简报 + 选题方向

边界规则:本 SKILL 不抓热搜榜(那是 trending-topics 的职责)。 若用户要的是"今天有什么热搜/热点",路由到 skill-trending-topics。 本 SKILL 处理"行业里最近发生了什么、有什么值得深挖的选题"。

输入

用户 prompt 中提供以下信息(全部可选):

  • 赛道/领域:自媒体运营 / 科技数码 / 商业财经 / AI / 时事话题(有 Profile 时自动提取)
  • 关键词:如 "AI"、"融资"、"新消费"(用于过滤标题)
  • 深度:快速浏览 / 深度分析(深度模式下载正文,默认快速)
  • 数量:每源 5-15 条(默认 10)

输出

markdown
# 资讯情报简报
日期: {date} | 赛道: {track} | 信息源: {sources}

## 要闻速览
#### 1. [标题](url)
- **来源**: 源名(领域标签) | **时间**: 发布时间
- **摘要**: 一句话中文摘要
- **洞察**: 💡 背景 / 影响 / 与创作者的关系

## 选题方向
基于今日资讯,推荐 3-5 个可操作的选题:
1. {选题} — 切入角度 + 建议平台/形式

工作流

Step 1 — 选择信息源

按赛道选择源组合(源 key 见下表,或 --list-sources 查看):

赛道推荐源
自媒体/内容运营woshipm,huxiu,aihot
科技数码sspai,geekpark,infoq_cn,36kr
商业财经wallstreetcn,huxiu,tmtpost,36kr
AIaihot,infoq_cn
时事/话题素材thepaper,tencent,huxiu

Step 2 — 抓取数据

bash
python3 skills/openclaw/skill-news-intelligence/scripts/fetch_news.py --source rss --limit 20 --keyword AI --no-save

参数:--source 源 key(逗号分隔,all 抓全部);--limit 每源条数; --keyword 关键词过滤(子串匹配,支持中文);--deep 下载正文;--no-save 只输出 stdout。

Step 3 — 生成简报

读取 JSON,按「输出」格式生成中文简报。规则:

  1. 语言:全部简体中文,保留知名英文专有名词
  2. 反幻觉:只使用 JSON 中的数据,不编造资讯;时间缺失标"未知时间"
  3. 赛道过滤:有 Profile/赛道时,优先与赛道相关的条目
  4. 选题方向:末尾基于资讯给出 3-5 个可操作选题(切入角度 + 建议平台/形式)
  5. smart_fill 标记:标 smart_fill 的条目是关键词不足时的宽泛补充,注明"相关度较低"

Step 4 — 保存产物

简报保存到 outputs/资讯简报/news-briefing-{date}.md。

每日简报模式

一键生成预设赛道简报:

bash
python3 skills/openclaw/skill-news-intelligence/scripts/daily_briefing.py --profile 科技账号 --no-save
Profile用途包含源
creator创作者情报日报人人都是产品经理 + 虎嗅 + 36氪 + AIHOT
tech_digital科技数码日报少数派 + 极客公园 + 36氪 + 钛媒体 + InfoQ
business商业财经日报华尔街见闻 + 虎嗅 + 钛媒体 + 36氪
aiAI 资讯日报AIHOT + InfoQ
topics话题素材日报澎湃 + 腾讯新闻 + 虎嗅

可用信息源

Key名称领域
woshipm人人都是产品经理自媒体·运营·内容
huxiu虎嗅商业·科技·消费
tmtpost钛媒体科技·商业
geekpark极客公园科技·数码·消费
sspai少数派数码·效率·生活方式
infoq_cnInfoQ 中文技术·开发
aihotAIHOTAI 资讯(中文精选,日更)
36kr36氪创投·科技·商业快讯
wallstreetcn华尔街见闻财经·宏观
tencent腾讯新闻综合时事(二创素材)
thepaper澎湃新闻时事·社会(二创素材)

Profile 感知

  • 有 Profile:读取 identity.md 的赛道,自动选源与关键词;读取 platforms.md 匹配选题建议的平台形式
  • 无 Profile:用通用模式(--source all 或问用户关注的赛道)

源特殊处理

源注意事项
AIHOT已是中文编辑稿,直接引用不再翻译;默认拉 24h
澎湃经 feedx 中转,默认拉 48h
InfoQ / 少数派RSS 可能只给标题/摘要,深度分析配 --deep
36氪 / 华尔街见闻 / 腾讯专用抓取器(非通用 RSS)

任何源抓取失败都会返回空并跳过,不阻断整体简报(fail-open)。

依赖

  • Python 3.8+
  • requests、beautifulsoup4

Bundled files

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

Frequently asked questions

What does the Skill News Intelligence AI skill do?

聚合中文行业媒体、垂类资讯和平台商业动态,按创作者赛道过滤,生成结构化情报简报与可执行选题。 当用户说“行业资讯/深度情报、最近行业动态、每日简报、选题情报、财经/科技/AI 动态”时使用。 本 SKILL 做日级深度资讯;分钟级实时热搜与快速二创选题用 skill-trending-topics。

Why use Skill News Intelligence on TypingMind?

Because you install it once and use it with any model. Skill News Intelligence 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 Skill News Intelligence in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-news-intelligence. 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 Skill News Intelligence?

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 Skill News Intelligence?

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

Is the Skill News Intelligence AI skill free?

Yes. It is published on GitHub by ZJU-REAL under the Apache-2.0 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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