A technical research and planning skill that extracts product opportunities from public user discussions and converts them into structured PRDs for AI coding agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pain2mvp
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 pain2mvp 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 Painpoint To MVP (pain2mvp)?
Painpoint To MVP is a robust workflow tool designed to bridge the gap between market signal discovery and software development. By analyzing public data—including recurring complaints, competitor weaknesses, and unmet user needs—this tool identifies high-value product opportunities. It is a vital part of the Openclaw Skills ecosystem for developers who want to ensure their builds are driven by actual market demand rather than assumptions.
Once an opportunity is identified and ranked, the skill transforms the findings into a lightweight Product Requirement Document (PRD). These PRDs are specifically optimized for coding agents, featuring explicit scopes, constraints, and acceptance criteria. This ensures that the transition from a discovered pain point to a functional MVP is seamless and grounded in verifiable evidence.
Painpoint To MVP (pain2mvp) Use Cases
- Identifying recurring product complaints in niche markets or competitor communities.
- Validating a new product idea by gathering and ranking public evidence of user need.
- Generating structured, agent-ready technical specifications from unstructured discussion data.
- Automating the research phase of the development lifecycle within the Openclaw Skills framework.
- Tracking the lineage of a feature from a specific user complaint to a PRD requirement.
How Painpoint To MVP (pain2mvp) Works
- The skill initializes by reading runtime contracts and checking for a valid TiDB environment.
- Raw evidence is collected from public sources using integrated search or scraping tools.
- Collected data is persisted in batch to a database to ensure traceability and auditability.
- Evidence is clustered and ranked based on a standardized rubric to identify the most viable product opportunities.
- Upon selection, the skill retrieves a persisted opportunity and synthesizes it into a technical PRD.
- The final PRD is saved and returned with a unique identifier, ready for an AI coding agent to implement.
Painpoint To MVP (pain2mvp) Setup
To integrate this tool into your Openclaw Skills workflow, follow these installation steps:
# Install system dependencies
brew install jq
# Set required environment variables
export TIDB_DATABASE_URL="your_tidb_connection_string"
# Initialize the database and bootstrap schema
npm install
npm run bootstrap:tidb
Painpoint To MVP (pain2mvp) Data Schema & Taxonomy
The skill manages data through a structured TiDB schema, ensuring that every insight is backed by source evidence.
| Data Entity | Description | Key Attributes |
|---|---|---|
| Evidence | Raw user discussion data | source_url, pain_cluster_id, content |
| Opportunity | Ranked product concepts | run_id, opportunity_id, score, confidence |
| PRD | Technical implementation spec | prd_id, scope, non-goals, acceptance_criteria |
Painpoint To MVP (pain2mvp) Advanced Features
- Batch persistence capabilities for handling high volumes of market evidence via stdin or JSON files.
- Traceable evidence mapping that links PRD requirements directly back to original source URLs.
- Conflict preservation logic that highlights contradictions in market data rather than ignoring them.
- Rubric-based ranking systems to distinguish category-wide pain points from vendor-specific issues.
- Deep integration with Openclaw Skills for multi-agent discovery and implementation pipelines.
SKILL.md
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