Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
MONK-EYE searches forum threads across 500+ sources to extract tacit knowledge buried in human-to-human discussions. It breaks a query into 25+ micro-searches across multiple languages and regions, filters noise from raw forum data, and outputs a structured report with actionable insights and source attribution.
Standard search engines surface articles and documentation, not the unfiltered practitioner debates in forums where proven methods and real failure cases actually live.
When to use it
- Researching proven SaaS niche ideas from forum debates
- Finding underground SEO tactics discussed in specialized communities
- Cross-language market research across European and Asian forums
- Extracting real failure cases before launching a product
- Discovering technical trade secrets from niche practitioner threads
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Research high-margin SaaS niches in 2026 using MONK-EYE
- 1Breaks the query into 25+ micro-searches across multiple languages and technical framings
- 2Scans 500+ forum sources recursively to depth 2+, following relevant threads
- 3Filters out ads, spam, and low-signal replies using pattern matching
- 4Extracts proof-of-work data points such as confirmed methods, failure reports, and niche signals
- 5Synthesizes findings into a structured dossier with strategies and source links
A strategic report listing validated SaaS niches with supporting forum evidence, regional context, and source attribution