A complete content creation and multiplication system designed for solo founders and indie hackers to scale their presence across social platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install phy-founder-content
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install phy-founder-content using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Founder Content System?
The Founder Content System is a specialized AI agent skill designed to streamline the content lifecycle for solo founders. By leveraging the power of Openclaw Skills, it transforms raw technical updates, git commits, and long-form articles into high-engagement social media posts tailored for Twitter/X, LinkedIn, and Xiaohongshu. It moves beyond simple generation by enforcing a strict Research-Extract-Adapt-Write workflow that ensures every piece of content is grounded in proven viral patterns while maintaining a sharp, authentic founder voice.
This system specifically addresses the "blank page" problem and the time constraints inherent in building a startup. Whether you are shipping a new feature or sharing a hard-learned lesson, this skill ensures your message reaches the right audience with the right tone, automatically extracting the story from your development work and technical documentation.
Founder Content System Use Cases
- Automatically generating build-in-public updates from recent git commits and PR descriptions.
- Repurposing a single high-performing blog post into a week's worth of platform-native social content.
- Creating high-engagement Twitter threads based on contrarian insights or technical frameworks.
- Adapting English technical content into search-optimized Chinese posts for Xiaohongshu.
- Planning a weekly content calendar that balances technical builds with systems thinking and personal branding.
How Founder Content System Works
- The user triggers the skill through commands such as "write a post" or "repurpose this" within their agent environment.
- The system performs research on the target platform to identify high-performing patterns, hook structures, and engagement triggers related to the topic.
- It extracts atomic units from the source material, focusing on specific metrics, frameworks, and narrative arcs.
- The AI adapts the content using the specific Founder Voice—prioritizing authenticity and sharp details over generic motivational fluff.
- The content is formatted for specific platform requirements (e.g., character limits for X, spaced lines for LinkedIn) and undergoes a final quality check for metrics and proof points.
Founder Content System Setup
To deploy the Founder Content System, integrate it into your existing Openclaw Skills directory. If you want to use the automated ship updates, ensure your agent has read access to your local git repository.
# Example command to trigger the build-in-public workflow
openclaw run founder-content --task "create content from recent commits"
Define your target platforms in the skill metadata to customize the default language and cadence for your personal brand.
Founder Content System Data Schema & Taxonomy
The skill organizes its content generation using a taxonomy of atomic units and platform-specific constraints.
| Data Component | Purpose |
|---|---|
| Atomic Units | Stores hooks, stats, frameworks, and takeaways for reuse across platforms. |
| Voice Guide | Constraints that enforce authenticity and prevent "thought-leader cringe." |
| STEPPS Metadata | Tags content based on social currency, emotion, and practical value. |
| Distribution Schedule | A logical map for content waves from Day 0 through evergreen rotation. |
Founder Content System Advanced Features
- Automatic extraction of stories from version control history (commits and pull requests).
- Cross-cultural localization that adapts technical English into native Xiaohongshu (Chinese) styles.
- Systematic repurposing framework that turns one piece of source material into 7-10 platform-native derivatives.
- Strict voice filtering to eliminate humblebrags, vague claims, and motivational fluff.
- Hook generation engine that requires the creation of 10-15 variations for every thread to optimize for engagement.
SKILL.md
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