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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 calend

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Preis unbestätigt★ 911 GitHub-StarsVerzeichnis aktualisiert · 5. Sept. 2026agent-skill

Übersicht

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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

Quelle ansehen ↗

Dateimetadaten

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

Originaltext anzeigen

---
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

Quelle prüfen

Preis und Betriebskosten

Skill beziehen: Preis unbestätigt
Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: MIT
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

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.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

Erfasst

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: freestylefly/wesight
Lizenz: MIT
Version: 1.0.0
Letzter GitHub-Push: 24. Aug. 2026
Verzeichnis aktualisiert: 5. Sept. 2026
Anleitungspfad: SKILLs/content-planner/SKILL.md @ 7d6f3dcf685f

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

73/100

Stark

Vertrauen

59/100

Do not auto-install

Audit

75/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

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.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "freestylefly-content-planner (content-planner)",
      "install_command": "npx skills add freestylefly/wesight --skill content-planner",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "freestylefly-content-planner",
      "task": "Use content-planner in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/freestylefly-content-planner",
    "api": "https://www.openagentskill.com/api/agent/skills/freestylefly-content-planner",
    "audit": "https://www.openagentskill.com/skills/freestylefly-content-planner/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=freestylefly-content-planner&task=Use%20content-planner%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20content-planner%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20content-planner%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/freestylefly-content-planner/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/freestylefly-content-planner"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: freestylefly
Quelle: freestylefly/wesight
Indexiert von: OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

Diesen Skill beanspruchen

Eigentümeranspruch

Diesen Skill-Eintrag beanspruchen

Dieser Registry-indexiert-Eintrag wird freestylefly zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

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Evidenz-Badges in deine README einfügen

Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.

[![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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Community-Signal

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