PMF Strategy for Openclaw

A strategic framework for AI agents to validate market demand, measure retention signals, and prevent premature scaling.

kostja94
v1.1.1
Apr 8, 2026
0
774
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install pmf-strategy

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is PMF Strategy?

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.

PMF Strategy Use Cases

  • Diagnosing low user retention or high churn rates in early-stage products.
  • Conducting a Sean Ellis 40% Test to measure current market sentiment.
  • Validating a new product idea to determine if it is a 'painkiller' or a 'vitamin'.
  • Preventing premature scaling by identifying the gap between activation and true PMF.
  • Segmenting user data to find a 'niche PMF' before broadening market reach.

How PMF Strategy Works

  1. The AI agent analyzes current user signals such as usage frequency, word-of-mouth growth, and retention.
  2. A survey-based assessment is performed using the Sean Ellis question: 'How would you feel if you could no longer use this product?'
  3. The skill categorizes the product's necessity, evaluating if it solves an acute, urgent problem.
  4. Market research and product positioning are reviewed to identify competitive differentiation.
  5. The agent provides a final assessment, recommending either a pivot/iteration phase or a transition to GTM scaling.

PMF Strategy Setup

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.

PMF Strategy Data Schema & Taxonomy

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%+).

PMF Strategy Advanced Features

  • Niche Segmentation: Ability to identify specific user cohorts where PMF is achieved even if the broader market is lagging.
  • SaaS & Enterprise Context: Specific logic for evaluating ACV-specific challenges and procurement cycles.
  • Multi-Skill Integration: Seamlessly passes data to gtm-strategy for scaling or cold-start-strategy for initial user acquisition.
  • Continuous Validation Loop: Framework for re-measuring PMF as the market evolves or the product expands.

SKILL.md


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