An automated pipeline that deconstructs high-performing reference content to generate three unique, psychologically-optimized draft variations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install content-draft-generator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install content-draft-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Content Draft Generator is a sophisticated tool within the ecosystem of Openclaw Skills designed for creators, marketers, and writers. It automates the complex process of reverse-engineering successful content by analyzing structure, hooks, and psychological triggers from provided URLs. Unlike basic AI writers, this skill follows a rigorous multi-stage pipeline to ensure the output isn't just a copy, but a fresh variation built on proven structural blueprints.
By using these Openclaw Skills, users can transform high-performing examples into tailored drafts for articles, tweets, or social posts. It bridges the gap between raw inspiration and polished execution, providing a structured workflow that handles everything from web fetching to final draft generation. This ensures that every piece of content created is grounded in patterns that have already proven successful in the wild.
To get started with this content creation tool within your Openclaw Skills library, follow these steps:
web_fetch tool enabled for URL analysis.# No complex installation required beyond placing the SKILL.md and references.
# Ensure your file system has the following directories created:
mkdir content-breakdown content-anatomy content-context content-meta-prompt content-draft
The skill organizes its output into a clear directory structure for maximum traceability:
| Directory | Content Description |
|---|---|
content-breakdown/ |
Detailed analysis and deconstruction of the source reference URLs. |
content-anatomy/ |
Synthesized blueprints, psychological playbooks, and hook libraries. |
content-context/ |
Generated interview questions used to gather specific user requirements. |
content-meta-prompt/ |
The two-phase prompt used to orchestrate the final AI writing task. |
content-draft/ |
The final output containing 3 content variations and quality checklists. |
All files follow a strict {type}-{timestamp}.md naming convention to prevent overwriting previous runs.
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