An AI-powered company discovery and research tool that automates semantic search, lookalike analysis, and deep person enrichment via the Extruct CLI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install extruct-api-skill
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 extruct-api-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Extruct API skill is a professional-grade integration designed for comprehensive company discovery, evaluation, and enrichment. By leveraging Openclaw Skills, users can access the full power of the Extruct platform to find niche markets, identify lookalike companies, and build high-precision lead lists. It serves as a bridge between natural language intent and structured B2B intelligence, allowing for automated research workflows that go far beyond simple database queries.
This skill specializes in AI Tables, which provide a repeatable framework for scoring companies and finding decision-makers. By utilizing the bundled CLI, developers can integrate Deep Search tasks and semantic analysis into their existing coding environments, making it an essential tool for sales operations, market researchers, and growth engineers seeking to automate the discovery-to-contact lifecycle.
To get started with this Openclaw Skills integration, resolve the absolute path to the bundled CLI and authenticate:
/absolute/path/to/skills/extruct-api/scripts/extruct-api auth user
Verify your connection health to ensure the API is reachable:
/absolute/path/to/skills/extruct-api/scripts/extruct-api healthcheck
For advanced company discovery, create a Deep Search task using a JSON payload:
<extruct_api_cli> deep-search create --payload '{"query":"B2B SaaS companies","desired_num_results":10}'
The skill organizes data into a hierarchy of tasks and tables, ensuring clean metadata taxonomy for research results:
| Object | Description |
|---|---|
| Table | A container for rows, classified as company, people, or generic. |
| Column | Defined by kind (e.g., agent, email_finder, research_pro) and specific output formats. |
| Row | Individual records containing input data and the results of AI enrichment. |
| Task | Asynchronous Deep Search jobs that manage complex search criteria and result sets. |
| Child Relationship | Links between company tables and the specific people tables generated from them. |
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