tech-stack-snapshot
Produce a technology-stack snapshot for one or more companies — what CRM, marketing automation, sales engagement, data warehouse, analytics, conversation intelligence, and other tools they have tagged in ZoomInfo's database. Groups detected products by category, surfaces displacement plays for competitive tools, integration angles for partner tools, and coverage gaps honestly. Resolves mixed-identifier inputs (IDs / names / domains) with explicit ambiguity surfacing. Useful for sales prospecting, account-based selling, competitive battle-card prep, integration partner research, technographic signal analysis, B2B prospecting. Triggers on phrases like "what tech does X use", "tech stack for", "technographic snapshot", "what's in their stack", "do they use Salesforce", "competitive displacement angle".
Install
With your agent
Install OMGSkills skill "zoominfo/zoominfo-mcp-plugin:skills/tech-stack-snapshot" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/Zoominfo/zoominfo-mcp-plugin /tmp/zoominfo-mcp-plugin && ln -s /tmp/zoominfo-mcp-plugin/skills/tech-stack-snapshot ~/.claude/skills/tech-stack-snapshot
From README
Tech Stack Snapshot Per-company tech-stack snapshot grouped by category, with displacement angles for competitive tools and integration angles for partner tools — anchored on the user's GTM context. Resolves mixed-identifier inputs, queries searchcompanies with techAttributeTagList to check each product in a curated universe, and presents both the detected stack and the gaps honestly. How it works searchcompanies accepts techAttributeTagList (tech-product IDs) as a filter: Iterate over a curated universe of 30–50 high-relevance tech products → build a company × product matrix → group by category and pair with GTM-context-anchored plays. The bar Resolution accuracy 100% — every input bucketed; never silently picked. Detections are binary and verified — ✅ comes from a non-zero searchcompanies result; ❌ means no tag. Never invent presence. Output is grouped by category. Recommended plays anchor on GTM context.
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