dun-bradstreet-data
Dun & Bradstreet data quality and firmographic enrichment
npx skills add a5c-ai/babysitter --skill dun-bradstreet-data --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Dun & Bradstreet Data ## Overview The Dun & Bradstreet Data skill provides integration with D&B's business data platform for DUNS number lookup, company hierarchy mapping, financial risk data, and industry classification. This skill enriches account data with authoritative business information for better qualification and segmentation. ## Capabilities ### DUNS Number Lookup - Match companies to DUNS numbers - Validate existing DUNS assignments - Handle duplicate resolution - Access global coverage ### Company Hierarchy - Map corporate family trees - Identify parent-subsidiary relationships - Track headquarters and branches - Understand buying authority levels ### Financial Risk Data - Access credit risk scores - Retrieve financial stress indicators - Track payment behavior patterns - Assess business viability ### Industry Classification - Apply SIC and NAICS codes - Segment by industry vertical - Identify primary business activities - Support territory assignment ## Usage ### Account Enrichment ``` Enrich account records with DUNS numbers, hierarchy information, and industry classifications. ``` ### Risk Assessment ``` Retrieve financial risk indicators for accounts to inform cre
- Overview
- Capabilities
- DUNS Number Lookup
- Company Hierarchy
- Financial Risk Data
- Industry Classification
- Usage
- Account Enrichment
- Risk Assessment
- Hierarchy Mapping
- Enhances Processes
- Dependencies
What does the dun-bradstreet-data skill do?
Dun & Bradstreet data quality and firmographic enrichment
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill dun-bradstreet-data --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
