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Content Planner

Community
freestylefly
content-planner

WeChat Official Account topic planning and content calendar management. Based on WeChat article search and trending analysis, generates differentiated topic recommendations and outputs structured content calendars. Activated when users mention "topic", "planning", "content calendar", "trending", or "what to write next week".

Overview

Publisherfreestylefly
Repositorywesight
Skill namecontent-planner
Stars
947
Forks
208
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Content Planner 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/freestylefly/wesight/tree/main/SKILLs/content-planner
  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/freestylefly/wesight.git /tmp/wesight
mkdir -p .claude/skills
cp -r /tmp/wesight/SKILLs/content-planner .claude/skills/content-planner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Planner 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 Content Planner 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 Content Planner 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.

Topic Planning + Content Calendar

Use Cases

  • User says "帮我规划下周公众号内容"
  • User says "最近有什么热门选题可以写"
  • User says "帮我做一份内容日历"
  • User wants to know what competitor accounts are writing about
  • Need to make topic decisions based on data

Dependencies

Node.js + cheerio (install once):

bash
npm install -g cheerio

Script Directory

ScriptPurposeUsage
scripts/wechat_search.jsSogou WeChat article searchnode "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "keyword"

Search Script Parameters

IMPORTANT: Always use the $SKILLS_ROOT environment variable to locate scripts.

bash
# Basic search
node "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "keyword"

# Limit result count
node "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "keyword" -n 15

# Save to file
node "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "keyword" -n 20 -o result.json

# Parse real URLs (extra network requests, may be blocked by anti-scraping)
node "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "keyword" -n 5 -r

Output Fields: Article title, article URL, article summary, publish time, source account name

Workflow

Step 1: Clarify Planning Scope

Confirm the following information with the user (ask all at once):

帮你规划内容,先确认几件事:

1. 规划周期?(本周 / 下周 / 自定义时间范围)
2. 有没有特定想写的方向或关键词?
3. 每周几篇?(默认3篇)

Step 2: Trending Scan

Execute multiple rounds of searches covering different dimensions:

Search Strategy:

  1. Core domain keyword search — Search with 2-3 core keywords related to the account's field
  2. User-specified keyword search — If user has specific directions
  3. General trending search — Search with combinations of "热点", "热门", "最新" with domain keywords
bash
# Example: Tech domain
node "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "AI 最新趋势" -n 10
node "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "大模型应用" -n 10
node "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "科技热点 2026" -n 10

Wait 3-5 seconds between each search to avoid triggering anti-scraping mechanisms.

Step 3: Competitor Analysis

Extract from search results:

Analysis DimensionExtracted Content
Title StrategyWhich title patterns get high engagement
Topic DirectionWhich directions are recent hot topics
Content AngleWhat angles do existing articles take, how to differentiate
Publish TimeCompetitors' publishing frequency and timing

Step 4: Generate Topic Recommendations

Based on trending data and competitor analysis, generate 5-10 topic suggestions. Each topic must include:

  • Alternative Titles (2 styles)
  • Target Audience
  • Content Angle (differentiation point)
  • Recommended Style: deep-analysis / practical-guide / story-driven / opinion / news-brief
  • Urgency: 🔥 Urgent / 📅 This week / 📦 Reserve
  • Reference Articles (from search results)

Topic Quality Requirements:

  • Each topic must be based on real search data, not fabricated
  • Each topic must have a clear differentiation angle
  • Must include at least 1 high-urgency topic (🔥) and 2 reserve topics (📦)

Step 5: User Approval

This is a mandatory approval gate and cannot be skipped.

Present the topic list and ask user to select, adjust, and schedule.

Step 6: Generate Content Calendar

Output content_calendar.json:

json
{
  "week": "2026-W13",
  "created_at": "2026-03-25",
  "articles": [
    {
      "id": 1,
      "date": "2026-03-26",
      "day": "Wednesday",
      "topic": "Topic Title",
      "angle": "Differentiation Angle",
      "style": "deep-analysis",
      "audience": "Target Audience",
      "urgency": "this-week",
      "status": "planned",
      "keywords": ["keyword1", "keyword2"]
    }
  ]
}

Step 7: Output Confirmation

Present a summary table and prompt user to start writing with article-writer skill.

Search Considerations

  • Search results may be empty (anti-scraping), retry with different keywords
  • Multiple searches in short time may trigger restrictions, recommend 3-5 second intervals
  • The -r parameter for parsing real URLs has low success rate, avoid unless necessary

Integration with Other Skills

  • The generated content_calendar.json is the input source for article-writer
  • article-writer reads entries with status planned from the calendar

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 Content Planner AI skill do?

WeChat Official Account topic planning and content calendar management. Based on WeChat article search and trending analysis, generates differentiated topic recommendations and outputs structured content calendars. Activated when users mention "topic", "planning", "content calendar", "trending", or "what to write next week".

Why use Content Planner on TypingMind?

Because you install it once and use it with any model. Content Planner 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 Content Planner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/freestylefly/wesight/tree/main/SKILLs/content-planner. 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 Content Planner?

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 Content Planner?

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

Is the Content Planner AI skill free?

Yes. It is published on GitHub by freestylefly 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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