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Add enrich-technology skill for tech stack lookup and prospecting#2

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ZLeventer wants to merge 1 commit intoZoominfo:mainfrom
ZLeventer:add-enrich-technology-skill
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Add enrich-technology skill for tech stack lookup and prospecting#2
ZLeventer wants to merge 1 commit intoZoominfo:mainfrom
ZLeventer:add-enrich-technology-skill

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What does this PR do?

Adds a new enrich-technology skill — the only skill in the plugin that surfaces ZoomInfo's technographic data. Technographics is one of ZoomInfo's top differentiators and was previously inaccessible from Cowork.

Type of change

  • New skill

Skills affected

skills/enrich-technology/ (new)

ZoomInfo tools used

  • lookup — resolves valid enum values for firmographic filters before searching
  • enrich_companies — fetches installed tech stack via techAttributeTagList output field
  • search_companies — tech-stack-based prospecting using techAttributeTagList as a search filter

Two workflows in one skill

Workflow A — Tech stack lookup ("what does Stripe use?"): enriches a known company and groups its installed technologies by category (CRM, Marketing Automation, ERP, Cloud Infrastructure, Analytics, etc.). Surfaces actionable signals: integration opportunities, competitive installs, displacement signals, stack sophistication.

Workflow B — Tech stack prospecting ("find companies using Salesforce + Snowflake in financial services"): searches for companies by installed technology, optionally combined with firmographic filters (industry, employee count, revenue, geography). Returns a ranked table with list summary and refinement suggestions.

Testing

Tested the skill structure and workflow logic against ZoomInfo API documentation and the techAttributeTagList field behavior documented in the ZoomInfo API reference. End-to-end Cowork testing pending credential access.

Entitlements required

Requires a ZoomInfo account with technographics data enabled.

Checklist

  • Skill directory name matches the name field in SKILL.md frontmatter
  • description in frontmatter is clear and action-oriented
  • Skill uses the lookup-first pattern before any search call
  • Output format explicitly defined with markdown table headers
  • Fallback paths specified for no-match cases
  • Data quality caveats documented (coverage gaps, freshness lag)

Adds a new skill that surfaces installed technology data at a company
and supports tech-stack-based prospecting (find all companies running
a specific technology). Two workflows: lookup (what does this company
use?) and prospecting (who uses this tool?). Follows the lookup-first
pattern and groups output by technology category with actionable signals
for integration discovery and competitive displacement.
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