Zoominfo · ZLeventer · Apr 26, 2026
diff --git a/skills/enrich-technology/SKILL.md b/skills/enrich-technology/SKILL.md
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+---
+name: enrich-technology
+description: Look up the full technology stack installed at a company — CRM, marketing automation, ERP, cloud infrastructure, analytics, and more. Supports tech-stack-based prospecting to find all companies running a specific technology.
+---
+
+# Enrich Technology
+
+Look up the installed technology stack at a company, or find companies running a specific technology.
+
+## Input
+
+The user will provide via `$ARGUMENTS` one of:
+
+**Tech stack lookup (what does this company use?):**
+- A company name (e.g., `Salesforce`)
+- A company domain (e.g., `salesforce.com`)
+- A ZoomInfo company ID
+
+**Tech stack prospecting (who uses this technology?):**
+- A technology name or combination (e.g., `companies using HubSpot`, `SAP + Snowflake customers`, `Salesforce users in financial services with 500+ employees`)
+
+Determine which workflow to use based on whether the user is asking about a specific company or looking for companies by technology.
+
+---
+
+## Workflow A — Tech Stack Lookup (specific company)
+
+1. **Lookup metadata first** — before calling any other MCP tool, use `lookup` to load reference data for any fields relevant to the request. Use the returned `id` values (not display names) in all subsequent API calls.
+
+2. **Resolve the company** if the user did not provide a ZoomInfo company ID:
+   - Domain or URL → use `companyWebsite`
+   - Company name → use `companyName`
+   - Ticker → use `companyTicker`
+
+3. **Enrich the company** using `enrich_companies` with the resolved match key. Request output fields that include technology data:
+   - `techAttributeTagList` — installed technologies (vendor, product, category tags)
+   - `id`, `name`, `website`, `industry`, `employeeCount`, `revenue` — for context
+
+4. **If no match**, try a fallback:
+   - Use `search_companies` with `companyName` for fuzzy matching
+   - Present the top 3 candidates and ask the user to confirm
+
+5. **Parse and categorize** the returned `techAttributeTagList` by category (see Output Format).
+
+---
+
+## Workflow B — Tech Stack Prospecting (find companies by technology)
+
+1. **Lookup metadata first** — use `lookup` to resolve valid values for any firmographic filters the user mentioned (industry, employee count, revenue, geography, company type). Use returned `id` values in all search calls.
+
+2. **Parse the technology criteria** from the user's input:
+   - Single technology → one `techAttributeTagList` value
+   - Multiple technologies → multiple values (AND logic — companies that have all specified technologies)
+   - Combined with firmographics → add the appropriate filters (industry, `employeeCountMin`/`Max`, `revenueMin`/`Max`, `state`, `country`)
+
+3. **Search companies** using `search_companies` with:
+   - `techAttributeTagList`: the technology name(s) as filter values
+   - Any additional firmographic filters resolved from step 1
+   - Sort by `-employeeCount` (largest companies first) or `-revenue` if the user specifies
+   - Request up to 100 results
+
+4. **Enrich the top results** using `enrich_companies` on the top 10 (batch of 10) to get full firmographic detail including full tech stack, revenue, employee count, and HQ.
+
+5. **Output as a structured table** (see Output Format — Prospecting).
+
+---
+
+## Output Format
+
+### Workflow A — Tech Stack Lookup
+
+**[Company Name]** — [Industry] | [Employee Count] employees | [Revenue] | [HQ Location]
+
+#### Installed Technologies
+
+Group technologies by category. Common categories:
+
+| Category | Technologies |
+|----------|-------------|
+| CRM | Salesforce Sales Cloud, HubSpot CRM |
+| Marketing Automation | Marketo, Pardot |
+| ERP / Finance | SAP S/4HANA, Oracle NetSuite |
+| Data & Analytics | Snowflake, Tableau, Looker |
+| Cloud Infrastructure | AWS, Microsoft Azure, Google Cloud |
+| Collaboration | Slack, Microsoft Teams, Zoom |
+| Customer Support | Zendesk, Salesforce Service Cloud |
+| Data Enrichment | ZoomInfo, Clearbit |
+| Advertising | Google Ads, LinkedIn Campaign Manager |
+| Other | [any remaining technologies] |
+
+Omit categories with no detected technologies. If a category has more than 5 technologies, show the top 5 and note the total count.
+
+#### Technology Signals
+
+After the table, surface actionable intelligence:
+
+- **Integration opportunities**: Technologies that commonly pair with the user's product (if inferable from context)
+- **Competitive signals**: Technologies that indicate an incumbent competitor is installed
+- **Displacement signals**: Technologies that are commonly replaced by the user's product
+- **Stack sophistication**: Is this company early-stage (few tools, basic stack) or mature (deep, redundant tooling)?
+
+If no signals can be inferred, omit this section.
+
+#### Data Notes
+- Note that ZoomInfo technographic data reflects detected signals and may not represent the full installed stack
+- Include the ZoomInfo Company ID for follow-up commands
+
+---
+
+### Workflow B — Tech Stack Prospecting
+
+#### Search Criteria Applied
+
+| Filter | Value |
+|--------|-------|
+| Technology | [tech name(s)] |
+| Industry | [if specified] |
+| Employee Count | [if specified] |
+| Revenue | [if specified] |
+| Geography | [if specified] |
+
+#### Companies Using [Technology Name]
+
+| # | Company | Industry | Employees | Revenue | HQ | Website | ZoomInfo ID |
+|---|---------|----------|-----------|---------|-----|---------|-------------|
+| 1 | | | | | | | |
+| 2 | | | | | | | |
+
+Show the top 25 by default. If the user asks for more, show up to 100.
+
+#### List Summary
+- **Total matches found**: X (showing top Y)
+- **Industry breakdown**: Top 3 industries represented
+- **Size distribution**: Breakdown by employee range
+- **Geography**: Top 3 countries/states represented
+
+#### Refinement Options
+If results are too broad or too narrow, suggest specific filter adjustments:
+- "Add `industry` filter to narrow from 1,200 to ~150 results"
+- "Add `employeeCountMin: 200` to focus on mid-market and above"
+- "Add a second technology (e.g., `Snowflake`) to find companies running both"
+
+---
+
+## Important Notes
+
+- **Technographic data coverage** varies by company size. Enterprise companies (1,000+ employees) typically have the richest tech stack data. SMB coverage may be limited.
+- **Freshness**: ZoomInfo technographic signals are refreshed regularly but may lag actual deployments by weeks to months. Flag this when surfacing competitive or displacement signals.
+- **Tech stack prospecting** works best with well-known vendor names (Salesforce, HubSpot, SAP, Workday, etc.). Obscure or niche tools may not return results.
+- This skill requires a ZoomInfo account with technographics data enabled.