score-leads

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.

Prepare for an upcoming meeting with a company. Identify the account by ZoomInfo account/company ID (preferred) or by company name, domain, or ticker (which triggers a lookup step) — or name no account at all and let the skill pick the meeting from your upcoming calendar. Provide attendee names or emails and rich context on the meeting purpose, stakes, and known dynamics to get a tight, decision-ready brief — headline, relationship posture per attendee, prior-conversation context (open threads and unresolved questions from past calls and emails), ranked talking points, discovery questions, suggested agenda, and what NOT to do. Use when prepping for a sales or customer call, QBR, renewal, or demo. Optimized for a 30-min slot.

Build a mutual action plan (MAP) from what was actually discussed on recent calls — the shared, dated set of steps each side owns to reach the goal. Reviews recent engagements and goes deep with conversation_intelligence scoped to individual calls to pull open items, agreed next steps, owners, and the timelines discussed. Identify the account by ZoomInfo company ID (preferred) or name/domain (triggers a lookup). Use when someone says "build a mutual action plan for Acme", "turn our last calls into a MAP", "what are the next steps and dates on both sides", or needs a close or onboarding plan. Evidence-based: it plans only what was discussed and asks for the target date if one was not stated.

Recommend the next best action on a deal or relationship, grounded in the current conversation state. Uses conversation_intelligence as the primary source, with account_research for deal context. Identify the account or contact by ZoomInfo ID (preferred) or name (triggers a lookup), or point it at a specific engagement. Use when someone asks "what should I do next with Acme", "what's my next move here", "how do I advance this deal", or wants an evidence-based recommendation rather than a generic playbook. Reasons over the last few engagements only.

Track the open objections and blockers on a deal and how they have evolved across recent calls. Uses conversation_intelligence over an account's or contact's recent engagements. Identify the account or contact by ZoomInfo ID (preferred) or name (triggers a lookup). Use when someone asks "what objections are still open with Acme", "what's blocking this deal", "how has the security concern evolved", or wants a blocker check before a forecast or a next call. Reasons over the last few engagements only, so it tracks recent movement rather than full deal history.

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".

Assemble a QBR prep pack for a business review — value moments, usage and adoption themes, risks, and open items, with a deal and relationship snapshot. Combines account_research for the account picture with conversation_intelligence over recent calls (scoped to individual engagements) for what the customer actually said. Identify the account by ZoomInfo company ID (preferred) or name/domain (triggers a lookup). Use when someone says "prep me for the Acme QBR", "build a QBR pack", "what should I cover in the business review", or needs a review-ready summary. Evidence-based: value moments, themes, and risks come from the conversations and CRM, not from assumption.

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".

Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.

Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.

Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.

Writing, exploit; assemble raw material into a journey of beats, grounding each term before a beat leans on it.

Writing, exploit: shape raw material into an article, paragraph by paragraph.

Writing, explore: mine raw fragments, no structure yet.

Use when writing a PR body.

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.