content-planner: Research & Knowledge for AI Agents | OpenAgentSkill

Overview

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".

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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):

npm install -g cheerio

Script Directory

Script	Purpose	Usage
`scripts/wechat_search.js`	Sogou WeChat article search	`node "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "keyword"`

Search Script Parameters

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

# 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）

Execute multiple rounds of searches covering different dimensions:

Search Strategy:

Core domain keyword search — Search with 2-3 core keywords related to the account's field
User-specified keyword search — If user has specific directions
General trending search — Search with combinations of "热点", "热门", "最新" with domain keywords

# 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 Dimension	Extracted Content
Title Strategy	Which title patterns get high engagement
Topic Direction	Which directions are recent hot topics
Content Angle	What angles do existing articles take, how to differentiate
Publish Time	Competitors' 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:

{
  "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

View source ↗

File metadata

name: content-planner
description: |
  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".
official: true

View original text

---
name: content-planner
description: |
  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".
official: true
---

# 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

| Script | Purpose | Usage |
|--------|---------|-------|
| `scripts/wechat_search.js` | Sogou WeChat article search | `node "$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 Dimension | Extracted Content |
|-------------------|-------------------|
| Title Strategy | Which title patterns get high engagement |
| Topic Direction | Which directions are recent hot topics |
| Content Angle | What angles do existing articles take, how to differentiate |
| Publish Time | Competitors' 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

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

Dependency or permission surface needs review
Permission surface may require sandboxing
The script uses user-agent rotation and delays to avoid anti-scraping measures, which may violate Sogou/WeChat terms of service.
The script depends on a global installation of cheerio, which may not be present in all environments.

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & trust

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

License: MIT
Version: 1.0.0
Last GitHub push: Aug 24, 2026
Registry updated: Sep 5, 2026
Instruction path: SKILLs/content-planner/SKILL.md @ 7d6f3dcf685f

Version reported in registry metadata; check source releases before relying on it.

Quality

76/100

Strong

Trust

60/100

Sandbox only

Audit

78/100

Needs review

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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    "install": "https://www.openagentskill.com/api/skills/freestylefly-content-planner/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/freestylefly-content-planner"
  }
}

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Creator: freestylefly
Source: freestylefly/wesight
Indexed by: OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

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This Registry indexed listing is attributed to freestylefly but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/freestylefly-content-planner?metric=listed&label=Listed)](https://www.openagentskill.com/skills/freestylefly-content-planner?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/freestylefly-content-planner?metric=trust&label=Trust)](https://www.openagentskill.com/skills/freestylefly-content-planner?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/freestylefly-content-planner?metric=audit&label=Audit)](https://www.openagentskill.com/skills/freestylefly-content-planner/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/freestylefly-content-planner?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/freestylefly-content-planner?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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