A powerful utility to transform raw contact and company lists into enriched, scored, and CRM-ready datasets.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install data-enrichment
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 data-enrichment 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 Data Enrichment Skill?
The Data Enrichment skill is an essential tool for sales and marketing professionals looking to augment their raw data with deep intelligence. By utilizing this skill within the Openclaw Skills framework, users can automatically fetch firmographic data, technographic stacks, and social profiles from public sources. It eliminates the manual effort of searching for company sizes, funding history, or key decision-makers, providing a high-fidelity dataset that is ready for immediate outreach or CRM import.
Beyond simple data fetching, this skill excels at data hygiene. It normalizes company names, fixes email formatting, and identifies fuzzy duplicates, ensuring that your database remains clean and efficient. Whether you are building a list from scratch or updating an existing one, this tool provides the technical depth required for modern data-driven operations.
Data Enrichment Skill Use Cases
- Enriching company lists with industry classifications, employee counts, and revenue estimates.
- Identifying the technology stack of prospects to tailor sales pitches for specific software integrations.
- Cleaning and deduplicating messy CSV files before importing them into CRMs like HubSpot or Salesforce.
- Automatically scoring leads based on custom criteria such as funding status or specific growth signals.
How Data Enrichment Skill Works
- Provide an input list of companies or contacts via CSV, JSON, or direct text input.
- The skill identifies key identifiers like domains, company names, or LinkedIn URLs.
- It cross-references multiple public data sources to gather firmographic and contact information.
- Records are cleaned and normalized to ensure consistent formatting across the dataset.
- Custom lead scoring logic is applied to categorize records as hot, warm, or cold.
- The final output is generated as a structured Markdown table or a CRM-compatible CSV file.
Data Enrichment Skill Setup
To integrate this skill into your workflow, ensure you have the core agent environment configured. You can add this specific functionality to your Openclaw Skills library using the following command:
openclaw install data-enrichment
Once installed, you can trigger enrichment tasks by providing your data file and specifying the desired output fields in your prompt.
Data Enrichment Skill Data Schema & Taxonomy
The Data Enrichment skill structures information into detailed company and contact schemas for maximum clarity.
Enriched Fields Table
| Field | Description |
|---|---|
| Industry | Sector and sub-industry classification |
| Firmographics | Employee range, revenue, and location data |
| Technographics | Detected CMS, analytics, and payment tools |
| Funding | Total amount raised and last round details |
| Social Profile | Direct links to LinkedIn company and personal pages |
Exported CSVs follow a standardized header format: company_name, industry, employees, tech_stack, contact_name, contact_title, lead_score, tag.
Data Enrichment Skill Advanced Features
- Technographic Profiling: Detect specific software usage including GA4, Stripe, and specialized SaaS tools.
- Automated Lead Scoring: Assign numerical values (1-100) based on custom weights like funding rounds or industry relevance.
- Fuzzy Deduplication: Use advanced matching algorithms to find and merge similar records with non-identical names.
- CRM Compatibility: Generate output files with headers pre-mapped for major CRM providers.
- Batch Processing: Optimized handling for large datasets by processing in controlled sequences to ensure data accuracy.
SKILL.md
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