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Look up a person's full professional profile. Provide a name and company, email address, phone number, or ZoomInfo person ID. Returns title, department, contact details, accuracy score, and company info.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Get AI-powered contact recommendations at a target company based on your ZoomInfo interaction history. Provide a company name or domain and optionally a use case.
Generate 1-3 personalized email variants for a single prospect. The composition bar adapts to the use case — cold_outbound demands a signal → pain → positioning chain; follow-ups / recaps / renewals lean on prior context and next-step framing. Supports cold_outbound, discovery_follow_up, demo_recap, re_engagement, renewal, expansion, objection_handling. Returns subject lines and mobile-readable bodies with a rationale chain. Use for sales prospecting, lead generation, account-based selling, buyer-intent-driven outreach, B2B prospecting. Triggers on phrases like "write a cold email", "personalize an email", "draft outreach", "follow up on this prospect", "email this prospect", "outbound to X", "send a chaser".
Score and rank a list of accounts (mixed ZoomInfo company IDs, names, or domains) by ICP fit + buying intent + recent triggers. Returns per-account composite score (0–100), tier (A/B/C), explainable component breakdown (fit / intent / trigger / engagement), a specific "why now" sentence per account, and the working weight set as a saveable search filter set. Resolves name/domain inputs via search_companies with explicit confirmation for ambiguous matches. Iteratively refinable — adjust weights, swap axes, retier, or drill into a specific account. Use for account-based selling, ABM list prioritization, territory planning, sales prospecting prioritization, signal-based selling, buyer intent ranking, B2B prospecting. Triggers on phrases like "score these accounts", "prioritize this list", "rank by ICP fit and intent", "which accounts should I work first", "build a tiered account list".
Score and prioritize leads or cold contacts (mixed ZoomInfo person IDs, emails, or name+company rows). Returns Hot / Warm / Cold tier per lead with a response-time SLA tuned to the use case (live inbound routing, MQL triage, event follow-up, PQL triage, content follow-up, SDR queue ordering), per-axis breakdown (person fit · account fit · source signal · trigger), a "why now" reasoning snippet per lead, and recommended next action with verified contact data. Resolution by email is deterministic; name+company surfaces verification when needed; typo'd emails fail explicitly rather than fall back. Iteratively refinable. Triggers on phrases like "score these leads", "which lead/contact should I call first", "prioritize my MQLs", "rank inbound", "who should I prioritize?", "tier this list".
Size the total addressable market (TAM) for an Ideal Customer Profile (ICP) using ZoomInfo's verified company database. Iteratively refine the firmographic and technographic filter set with the user until the account universe matches their intent — then return both the count and the working filter set that other skills (build-list, score-accounts) can consume. Use for territory and capacity design, investor-ready market sizing, and ICP sharpening. Triggers on phrases like "size the market", "TAM for", "addressable market", "how many companies match", "is my ICP too broad/narrow", "refine my ICP filters".
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".
| name | enrich-contact |
| description | Look up a person's full professional profile. Provide a name and company, email address, phone number, or ZoomInfo person ID. Returns title, department, contact details, accuracy score, and company info. |
Look up a single contact's full profile in ZoomInfo.
The user will provide via $ARGUMENTS one of:
jane@acme.com)Jane Smith at Acme Corp)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. This ensures accurate parameter resolution, especially if a fallback search is needed.
Identify the best match key from the user's input:
email parameterfirstName, lastName, companyNamefullName, companyNamephoneexternalURLpersonIdEnrich the contact using enrich_contacts with the identified parameters.
If no match, try a fallback:
search_contacts with jobTitle or companyName variations — use lookup id values for any filters[Full Name] — [Title] at [Company]
| Field | Value |
|---|---|
| Department | |
| Management Level | |
| Direct Phone | |
| Mobile Phone | |
| Accuracy Score | |
| Location | |
| Company | |
| Company Industry | |
| Company Size | |
| Last Updated | |
| ZoomInfo Person ID |
If any fields are unavailable, omit them rather than showing blanks. Note the accuracy score prominently — anything below 80 deserves a flag.