Best for
- 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"
netease-youdao/LobsterAI/SKILLs/content-planner/SKILL.md
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".
Decision brief
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.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/netease-youdao/LobsterAI --skill "SKILLs/content-planner"Inspect the Agent Skill "content-planner" from https://github.com/netease-youdao/LobsterAI/blob/fb2963523a3fa7d913f5f5140f5d342b3694cfdb/SKILLs/content-planner/SKILL.md at commit fb2963523a3fa7d913f5f5140f5d342b3694cfdb. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Confirm the following information with the user (ask all at once):
Confirm the following information with the user (ask all at once):
Execute multiple rounds of searches covering different dimensions:
Extract from search results:
Based on trending data and competitor analysis, generate 5-10 topic suggestions. Each topic must include:
Permission review
The documentation asks the agent to run terminal commands or scripts.
npm install -g cheerioThe documentation asks the agent to run terminal commands or scripts.
node "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "keyword"The documentation asks the agent to create, modify, or delete local files.
# Save to fileEvidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 90/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 5,783 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Node.js + cheerio (install once):
npm install -g cheerio
| Script | Purpose | Usage |
|---|---|---|
scripts/wechat_search.js | Sogou WeChat article search | node "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "keyword" |
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 "$SKILLS_ROOT/content-planner/scripts/wechat_search.js" "keyword" -n 5 -r
Output Fields: Article title, article URL, article summary, publish time, source account name
Confirm the following information with the user (ask all at once):
帮你规划内容,先确认几件事:
1. 规划周期?(本周 / 下周 / 自定义时间范围)
2. 有没有特定想写的方向或关键词?
3. 每周几篇?(默认3篇)
Execute multiple rounds of searches covering different dimensions:
Search Strategy:
# Example: Tech domain
node "$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.
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 |
Based on trending data and competitor analysis, generate 5-10 topic suggestions. Each topic must include:
Topic Quality Requirements:
This is a mandatory approval gate and cannot be skipped.
Present the topic list and ask user to select, adjust, and schedule.
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"]
}
]
}
Present a summary table and prompt user to start writing with article-writer skill.
-r parameter for parsing real URLs has low success rate, avoid unless necessarycontent_calendar.json is the input source for article-writerplanned from the calendarAlternatives
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