Baokuan Article Analysis

CommunityPopular

SpaceZephyr

baokuan-article-analysis

Fetch and analyze WeChat Official Account hot articles / 公众号爆款文章 by sector or keywords. Use when the user asks for 爆款文章分析, 赛道爆款, 公众号爆款数据, reading counts, likes, shares, comments, title patterns, writing style, 爆款原因分析, or writing references for content creation.

Overview

Publisher	SpaceZephyr
Repository	`creator-buddy`
Skill name	`baokuan-article-analysis`
Stars	1.5K
Forks	234
Bundled files	3
Links	Skill source Repository

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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by SpaceZephyr on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/SpaceZephyr/creator-buddy/tree/main/gzh-Skills/baokuan-article-analysis

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/SpaceZephyr/creator-buddy.git /tmp/creator-buddy
mkdir -p .claude/skills
cp -r /tmp/creator-buddy/gzh-Skills/baokuan-article-analysis .claude/skills/baokuan-article-analysis

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Baokuan Article Analysis 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 Baokuan Article Analysis 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 Baokuan Article Analysis 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.

爆款文章分析

Overview

Use this skill to fetch hot WeChat Official Account article data by sector and generate a daily analysis report. It is for sector-level or keyword-level analysis, not exact historical scraping for one specific account.

The bundled script queries the hot-article data source, merges keywords by sector, deduplicates articles, ranks them, and writes:

data.json: raw structured data
report.html: a minimal visual analysis report with KPI cards, bar charts, ranked article cards, writing style analysis, hot reasons, and writing references

Do not default to Markdown reports. The primary user-facing artifact is report.html.

Quick Start

Run with the default sectors:

bash
python3 ~/.codex/skills/baokuan-article-analysis/scripts/daily_sector_trends.py \
  --output-dir ./output/baokuan-article-analysis

Run custom sectors:

bash
python3 ~/.codex/skills/baokuan-article-analysis/scripts/daily_sector_trends.py \
  --sector 'AI Agent=AI Agent,智能体,Agent框架' \
  --sector 'Skill=skill,Skills,AI Skill' \
  --sector 'Claude Code=Claude Code,Codex,AI编程' \
  --output-dir ./output/baokuan-article-analysis

Run with a JSON config:

bash
python3 ~/.codex/skills/baokuan-article-analysis/scripts/daily_sector_trends.py \
  --sector-config ~/.codex/skills/baokuan-article-analysis/references/default-sectors.json \
  --days 7 \
  --output-dir ./output/baokuan-article-analysis

Workflow

Identify sectors and keywords from the user request.
If the user only gives broad sectors, use or adapt references/default-sectors.json.
Run scripts/daily_sector_trends.py.
Open the generated report.html.
Summarize for the user:
- highest-reading and highest-sharing articles
- writing style patterns
- hot article reasons
- title and topic formulas
- practical writing references
Return the HTML file path as the main artifact.

Script Options

Option	Purpose
`--sector '赛道=关键词1,关键词2'`	Add one sector. Can repeat.
`--sector-config path.json`	Load sectors from JSON object.
`--days N`	Lookback window. Default is 7 days.
`--start-date YYYY-MM-DD`	Explicit start date. Overrides `--days`.
`--max-items-per-sector N`	Limit ranked articles per sector. Default is 10.
`--output-dir DIR`	Parent output directory. A date folder is created inside.
`--report-date YYYY-MM-DD`	Report date. Default is today.

Data Boundaries

This skill returns hot-list data, not a specific account’s complete recent history.
clicksCount is a public data-source snapshot and may lag behind live WeChat backend reads.
If a specific account name returns no data, switch to that account’s topic keywords and compare same-sector articles.
If today’s data is sparse, use --days 7 or --days 30.

Output Interpretation

Use reading count for reach, share count for spread, comments for discussion, and low-fan high-reading entries for title/structure references. Repeated accounts indicate strong competitors or content sources worth following.

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 Baokuan Article Analysis AI skill do?

Why use Baokuan Article Analysis on TypingMind?

Because you install it once and use it with any model. Baokuan Article Analysis 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 Baokuan Article Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SpaceZephyr/creator-buddy/tree/main/gzh-Skills/baokuan-article-analysis. 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 Baokuan Article Analysis?

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 Baokuan Article Analysis?

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

Is the Baokuan Article Analysis AI skill free?

It is published on GitHub by SpaceZephyr. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

爆款文章分析

Overview

Quick Start

Workflow

Script Options

Data Boundaries

Output Interpretation

Bundled files

Frequently asked questions

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