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openlark

Batch Content Factory

by OpenLark · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
49
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Install in OpenClaw
/install batch-content-factory
Description
Multi-platform content production line. Automates the entire workflow from topic research to content creation. Suitable for self-media operators producing hi...
README (SKILL.md)

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

Command Description Usage
write Generate content python scripts/content_factory_tool.py write [parameters]
calendar Manage publishing calendar python scripts/content_factory_tool.py calendar [parameters]
seo SEO optimization python scripts/content_factory_tool.py seo [parameters]

Usage Workflow

Scenario 1: Generate an AI Trends WeChat Official Account Article

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

Scenario 2: Plan Next Week's Content Publishing Calendar

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

Scenario 3: Optimize Article SEO

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

Prerequisites

pip install requests jinja2 markdown

Output Format

Reports generated by the content factory adopt the following format:

# 📊 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

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
Usage Guidance
This skill appears to be a safe local template and report generator, not a full automation pipeline. Before installing or running it: (1) accept that it does not fetch web data or call an AI model — it's a helper that formats templates and inspects a local file for SEO; (2) inspect the script (you already have it) and run it in a sandbox or limited environment if you're cautious; (3) do not pass sensitive files to the seo command since it reads and prints file contents in its report; (4) be aware SKILL.md lists pip packages (requests, jinja2, markdown) that the code does not use — you can omit installing unused packages or verify why they were suggested; and (5) if you need true end-to-end automation (publishing to platforms, scraping research, or calling external APIs), expect to add explicit integrations and credentials — this skill does not do that by itself.
Capability Analysis
Type: OpenClaw Skill Name: batch-content-factory Version: 1.0.0 The skill bundle provides a legitimate framework for automated content creation, SEO optimization, and calendar management. The primary script, scripts/content_factory_tool.py, performs safe operations such as generating text templates, calculating word counts, and reading/writing local files based on user-provided arguments. No evidence of data exfiltration, unauthorized network access, or malicious execution was found; the code logic is simple and aligns perfectly with the documentation provided in SKILL.md.
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
Name/description promise a full multi-platform automated production line (topic research, data-driven analysis, content creation). The included script, however, only generates templates, calendars, and a local-file SEO report; it does not perform web scraping, call AI models, or integrate with platform APIs. This is likely an overclaim rather than malicious behavior.
Instruction Scope
SKILL.md instructs running the included Python script with write/calendar/seo commands, and the script only reads a user-specified local file for SEO. The README's statement that "All analyses are based on actual data obtained by the script" is misleading since the script does not fetch external data. The instructions do not reference unrelated system files or environment variables.
Install Mechanism
There is no install spec (instruction-only), which is low risk. SKILL.md recommends installing pip packages (requests, jinja2, markdown) but the shipped Python code does not import requests, jinja2, or markdown — this mismatch is sloppy but not directly dangerous.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The script operates on local inputs only and does not attempt to read environment secrets.
Persistence & Privilege
The skill does not request persistent privileges and is not marked always:true. It does not modify other skills or agent-wide settings; it writes only to output paths explicitly supplied by the user.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install batch-content-factory
  3. After installation, invoke the skill by name or use /batch-content-factory
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Batch Content Factory. - Automates multi-platform content creation, including WeChat, Zhihu, Xiaohongshu, and Twitter. - Features built-in SEO optimization with keyword and meta description insertion. - Includes content calendar management for scheduling and publishing. - Provides command-line tools for writing content, managing calendars, and performing SEO tasks. - Supplies a consistent, data-driven markdown report template for output.
Metadata
Slug batch-content-factory
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Batch Content Factory?

Multi-platform content production line. Automates the entire workflow from topic research to content creation. Suitable for self-media operators producing hi... It is an AI Agent Skill for Claude Code / OpenClaw, with 49 downloads so far.

How do I install Batch Content Factory?

Run "/install batch-content-factory" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Batch Content Factory free?

Yes, Batch Content Factory is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Batch Content Factory support?

Batch Content Factory is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Batch Content Factory?

It is built and maintained by OpenLark (@openlark); the current version is v1.0.0.

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