A sophisticated intelligence orchestration skill that uncovers what audiences are searching for through intent mapping and deep SERP analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install industry-research
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 industry-research using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Industry Research skill for Openclaw Skills is a technical powerhouse designed to move beyond surface-level competitor tracking and dive into the psyche of the target audience. By orchestrating a multi-tool workflow involving Ahrefs, Firecrawl, and Exa, it identifies high-value keyword clusters, categorizes search intent, and extracts the literal language used by potential customers in forums and communities.
This skill transforms raw search data into a structured intelligence brief, focusing on the "why" behind search queries. It enables developers and marketers to identify underserved content angles and transactional opportunities that competitors have overlooked, providing a clear roadmap for SEO and product positioning.
Ensure your environment has the necessary API credentials configured. This skill leverages the Openclaw Skills ecosystem for seamless tool orchestration.
# Set your required API keys
export AHREFS_API_KEY="your_key_here"
export EXA_API_KEY="your_key_here"
export FIRECRAWL_API_KEY="your_key_here"
# The skill will automatically detect these via MCP or environment variables
The skill generates a structured Markdown artifact located at .agents/industry-research-{client}.md. It organizes data into the following key sections:
| Section | Data Included |
|---|---|
| Intent Map | Keyword clusters, volume, difficulty, and Informational vs. Transactional split. |
| Audience Signals | Verbatim questions from PAA and pain points extracted from Reddit/forums. |
| Content Gaps | Underserved angles and specific queries where competitors are weak. |
| Landscape | Competitor positioning, site structure maps, and unclaimed messaging angles. |
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