Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Universalize: remove project-specific references, add SearXNG recommendation
What This Skill Does
Runs deep market research for a product idea and writes a structured `research.md` file. Covers competitor analysis, user pain points, SEO/ASO keywords, domain name availability, and TAM/SAM/SOM market sizing. Detects product type automatically and routes research accordingly.
Combines web search, Reddit, YouTube, Product Hunt, Crunchbase, and domain checks into one automated workflow instead of running each source manually.
When to use it
- Checking whether a SaaS idea already has dominant competitors
- Finding real user complaints about an existing product category on Reddit and Hacker News
- Discovering available domain names and brand name candidates before committing to an idea
- Estimating market size before writing a product spec or pitch deck
- Gathering SEO keyword opportunities for a new web app launch
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: research my idea for an AI-powered invoice generator
- 1Detects product type as web app from the description
- 2Searches for competitors on Product Hunt, G2, and Crunchbase, extracting pricing and key features
- 3Queries Reddit and Hacker News for user pain points around invoicing tools, reading full posts via old.reddit.com
- 4Generates 7-10 name candidates and verifies domain availability using whois and RDAP triple-check
- 5Estimates TAM/SAM/SOM from market size reports and writes the full research.md
A structured research.md with a competitor table, top 5 pain points with source quotes, SEO keyword list, domain availability results, market sizing, and a GO/NO-GO recommendation