Content Planner Agent Skill

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）

Step 2: Trending Scan

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