A strategic framework for AI agents to validate market demand, measure retention signals, and prevent premature scaling.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pmf-strategy
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 pmf-strategy using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The PMF Strategy skill is a comprehensive framework designed for Openclaw Skills users to rigorously validate Product-Market Fit (PMF) before committing to expensive scaling efforts. It provides AI agents with the logical models needed to distinguish between 'painkillers' that solve urgent market needs and 'vitamins' that often lead to startup failure. By integrating this skill, agents can help founders and product managers diagnose traction problems and ensure a product satisfies its target market effectively.
This skill synthesizes industry-standard methodologies, including Marc Andreessen's definition of PMF and the Sean Ellis 40% test. It moves beyond vanity metrics to focus on high-signal indicators like organic growth, retention curves, and customer lifetime value (CLTV). Whether you are building a SaaS platform or an enterprise solution, this protocol ensures that every product decision is backed by market validation.
To integrate this framework into your Openclaw Skills workflow, ensure the pmf-strategy.md file is present in your skills directory. You can trigger the skill using the following command structure:
# Example of invoking the PMF validation logic
openclaw call pmf-strategy --input "current_retention_data.json"
No additional external APIs are required as the skill operates as a logical processing layer.
The skill organizes validation data into the following structured taxonomy:
| Data Point | Description |
|---|---|
| Sean Ellis Score | Numerical percentage of users who would be 'very disappointed' without the product. |
| Problem Type | Classified as either 'Painkiller' (High Priority) or 'Vitamin' (Low Priority). |
| Retention Curve | Longitudinal data showing the percentage of active users over time. |
| Metric Alignment | Comparison of CAC (Customer Acquisition Cost) vs. CLTV. |
| Strategic Action | Binary output: Iterate (below 40%) or Scale (40%+). |
gtm-strategy for scaling or cold-start-strategy for initial user acquisition.Loading
A comprehensive execution framework for AI agents to plan product launches, manage channel mixes, and coordinate cross-functional go-to-market tasks.

An intelligent email management layer that filters, summarizes, and drafts routine responses to reclaim your morning productivity.

A professional-grade cricket statistics tool that fetches player averages, match results, and tournament records from trusted global sources.

An automated documentation skill that captures unfamiliar technical terms during coding sessions and adds them to a personalized GitHub-based glossary using relatable analogies.

A strategic framework for identifying and organizing high-signal information sources for market intelligence and content development.

A strategic framework for solo developers and bootstrapped founders to launch, grow, and monetize products without external funding.








































