Batch Content Factory#

Overview#

An automated content creation workflow that supports multi-platform content generation, SEO-optimized writing, and content calendar management. Suitable for bulk content production across platforms such as WeChat Official Accounts, Zhihu, Xiaohongshu, and Twitter.

Trigger Keywords#

Content creation, copywriting, content creation, copywriting.

Core Capabilities#

Capability 1: Multi-Platform Content Generation#

Supports content generation for platforms such as WeChat Official Accounts / Zhihu / Xiaohongshu / Twitter, adjusting content style and format according to the characteristics of each platform.

Capability 2: SEO-Optimized Writing#

Automatically inserts keywords and meta descriptions to optimize content visibility in search engines.

Capability 3: Content Calendar Management#

Plans weekly publishing schedules and manages content release cadence.

Command List#

CommandDescriptionUsagewriteGenerate contentpython scripts/content_factory_tool.py write [parameters]``calendarManage publishing calendarpython scripts/content_factory_tool.py calendar [parameters]``seoSEO optimizationpython scripts/content_factory_tool.py seo [parameters]

Usage Workflow#

Scenario 1: Generate an AI Trends WeChat Official Account Article#

bash

python scripts/content_factory_tool.py write --platform wechat --topic 'AI Trends'

Scenario 2: Plan Next Week's Content Publishing Calendar#

bash

python scripts/content_factory_tool.py calendar --plan next-week

Scenario 3: Optimize Article SEO#

bash

python scripts/content_factory_tool.py seo --file article.md

Prerequisites#

bash

pip install requests jinja2 markdown

Output Format#

Reports generated by the content factory adopt the following format:

markdown

# 📊 Content Factory Report

**Generated on**: YYYY-MM-DD HH:MM

## Key Findings
1. [Key finding 1]
2. [Key finding 2]
3. [Key finding 3]

## Data Overview
| Metric | Value | Trend | Rating |
|--------|-------|-------|--------|
| Metric A | XXX | ↑ | ⭐⭐⭐⭐ |
| Metric B | YYY | → | ⭐⭐⭐ |

## Detailed Analysis
[Multi-dimensional analysis content based on actual data]

## Actionable Recommendations
| Priority | Recommendation | Expected Outcome |
|----------|----------------|------------------|
| 🔴 High | [Specific recommendation] | [Quantified expectation] |
| 🟡 Medium | [Specific recommendation] | [Quantified expectation] |
| 🟢 Low | [Specific recommendation] | [Quantified expectation] |

References#

• Content Marketing Institute Strategy Guide
• Content Factory Agent Full Use Case

Notes#

• All analyses are based on actual data obtained by the script; data is not fabricated
• Missing data fields are marked "Data Unavailable" rather than guessed
• It is recommended to combine with human judgment; AI analysis is for reference only
• Please install Python dependencies before first use: pip install requests jinja2 markdown