A professional tool for AI product managers to transform abstract product ideas into structured, visual frameworks and layered architectures.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install product-framework
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 product-framework using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Product Framework skill is a specialized utility within the Openclaw Skills ecosystem, specifically crafted for AI product managers and strategists. It provides a systematic methodology for structuring product thinking, allowing users to move beyond simple notes into formal architecture models. By leveraging standardized layers—from infrastructure to user experience—this skill ensures that every technical and business aspect of an AI product is accounted for and communicable.
This skill is particularly effective for those needing to articulate the value proposition and structural integrity of an AI-driven solution. By integrating Openclaw Skills into your workflow, you can generate professional-grade documentation that bridges the gap between high-level vision and technical execution.
To integrate this capability into your environment, ensure the skill files are located within your agent's skills directory. Openclaw Skills usually require the reference templates to be accessible in the local path.
# Navigate to your agent's skill directory
cd openclaw/skills/
# Clone or copy the product-framework directory
cp -r /path/to/source/product-framework .
The skill organizes data through a hierarchical Markdown structure and references external pattern libraries:
| Component | Description |
|---|---|
| Core Frameworks | Layered Architecture, Value Framework, Capability Map, and Competitive Matrix. |
| Reference Files | Uses framework-templates.md and ai-product-patterns.md for specific AI logic. |
| Visualizations | Utilizes Mermaid.js syntax (mindmaps, flowcharts) for architectural representation. |
| Output Format | Structured Markdown with defined header levels and explanatory components. |
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