gtm-skills

Deep-research a single target account into a decision-ready dossier: the entity tree, the buying units and decision-makers, live signals (open/closed roles, leadership moves, news, tech stack), and the entry angle. Powered by Extruct Deep Research — ONE cited report per account, no table/column setup. Optionally enrich buyer emails via email-search. Use to prep for a sales conversation, build a buyer map, find who to sell to at a company, or surface why-now signals for ONE account (not a list). Triggers on: "research this account", "account research", "buyer map", "who do we sell to at", "prep for the meeting with", "deep dive on", "map the org at", "find decision makers at", "why now at", "research [company] before the call".

Draft ONE cold-outreach message from a signal + persona + channel: a single cold email, a LinkedIn note, or a follow-up. Generates one primary draft plus 1-2 variants, then runs a self-check lint. Reads voice, sender identity, positioning, proof, and banned words from the company context file. This is the single-message craft engine; it does NOT build sequences, cadences, or multi-touch arcs (email-prompt-building owns sequencing). Triggers on: "write a message", "draft a message", "atomic message", "write a single email", "one-off email", "write a linkedin message", "linkedin note", "linkedin dm", "write a follow-up", "follow-up message", "draft outreach", "rewrite this message", "write a cold email" (one message, not a sequence).

Validate email addresses before campaign sending. Takes a contact CSV, validates each email via a verification provider, removes invalid/do_not_mail/abuse/catch-all/unknown addresses, and optionally cleans them from sequencer campaigns. Outputs a verified CSV ready for campaign-sending. Fits between email-generation and campaign-sending in the pipeline. Triggers on: "verify emails", "validate emails", "email verification", "clean emails", "check emails before sending", "remove bad emails", "email hygiene".

Render a cold-outreach email sequence from a fixed template set and a contact CSV whose input fields are already filled. Deterministic — variant routing + placeholder substitution, no per-row LLM call. The render contract (newline model, per-target escaping, operation order) is the core of this skill. Triggers on: "generate emails", "email generation", "run emails", "render emails", "create emails", "email pipeline", "generate outreach".

Design a cold-outreach email sequence as a FIXED TEMPLATE SET — real, human-approved copy with {{input_field}} placeholders and variant-routing rules. Reads the company context file and campaign research, explores angles, and commits to copy at design time. The output is rendered later by the email-generation skill via deterministic substitution — no per-row LLM. Triggers on: "cold email", "outreach prompt", "email campaign", "new vertical email", "draft email prompt", "email sequence", "email template".

Upload finalized emails for sequencing and sending. Maps fields to lead schema, creates or finds campaigns, uploads leads with dedup, and provides a pre-send verification checklist. Triggers on: "upload to instantly", "run instantly", "send emails", "instantly campaign", "push to instantly", "start campaign", "load into instantly".

Extract people who engage (comment, react, repost) on a LinkedIn post, enrich their profile / email / company data, and land them in a local SQLite CRM (content.db → crm.db) as the source of truth. Extruct people-table upload is optional. Triggers on: "post engagers", "linkedin engagers", "who commented on", "who liked", "who reacted", "linkedin post engagers", "scrape post", "extract engagers", "post commenters".

Manage and reply to lead responses in Instantly unibox. Fetches unread conversations, classifies reply intent, drafts contextual responses, and sends replies via Instantly API. Fits after campaign-sending in the GTM pipeline. Triggers on: "reply to leads", "inbox replies", "instantly inbox", "unibox", "respond to replies", "manage replies", "instantly replies", "check inbox", "lead replies", "answer leads".

Deep persona simulation and skeptical buyer review for cold emails. Builds a full prospect "world" from LinkedIn + company data, defines their professional reality (KPIs, pain points, inbox behavior), then runs a skeptical buyer roast — emotional reaction first, business evaluation second. One prospect at a time, Tier 1 only. Triggers on: "review email", "copy feedback", "email feedback", "would they reply", "persona review", "check this email", "review this draft", "roast this email", "skeptical buyer".

Set up and run competitive intelligence monitoring. Discover competitors via user input, lookalike search, web research, or G2/review sites, then create an Extruct company table with research columns for blog, social media, news, key people, and business model tracking. Re-run columns to refresh monitoring data. Triggers on: "competitor monitoring", "track competitors", "competitive intelligence", "monitor competitors", "competitor analysis", "competitive landscape", "who are my competitors", "competitor tracking".

Get verified emails and phones for contacts found by people-search. Takes LinkedIn profiles from the Extruct people table and enriches them via contact enrichment providers like Prospeo or Fullenrich. Supports single-provider and waterfall modes. Outputs a contact CSV ready for email-generation. Triggers on: "get emails", "find emails", "enrich contacts", "email finder", "get phone numbers", "enrich people", "contact enrichment", "verify emails", "email enrichment".

Run explicit Extruct API tasks through the bundled Extruct CLI. Covers Deep Search, semantic search, lookalike search, company and people tables, column operations, enrichment, and contact finding.

Build targeted company lists for outbound campaigns using Extruct. Use when the user wants to: (1) find companies matching an ICP, (2) build a prospect or outbound list, (3) search for companies by description, (4) discover companies in a market segment, (5) create a target account list, (6) research a competitive landscape, (7) find lookalike companies from a seed list. Triggers on: "find companies", "build a list", "company search", "prospect list", "target accounts", "outbound list", "discover companies", "ICP search", "lookalike search", "seed company".

Add research-powered enrichment columns to Extruct company tables. Use when the user wants to add enrichment columns (e.g. funding, verticals, tech stack) to an existing Extruct table, run column configs from enrichment-design, or monitor enrichment progress. Triggers on: "enrich", "add column", "add data point", "research column", "enrich table", "enrichment", "add a field", "run enrichment", "monitor enrichment".

Take an enriched Extruct table and a hypothesis set, then segment companies by hypothesis fit and assign tiers based on data richness and signal strength. Outputs a tiered, segmented list ready for email generation. Triggers on: "segment", "tier", "segment companies", "tier companies", "prioritize list", "segment and tier", "tiering", "which companies first".

Find LinkedIn profiles of decision makers at target companies using Extruct's company_people_finder. Takes a company table, adds a people finder column, and produces a linked child people table with names, roles, and LinkedIn URLs. No external API credits — uses Extruct's index only. Triggers on: "find linkedin", "find people", "find contacts", "find decision makers", "people search", "linkedin search", "who to contact", "find profiles".

Create an Extruct company table from user-provided data, upload rows, and optionally add enrichment columns. Handles the full flow: parse input (CSV, pasted list, or structured data), create or reuse a table, upload domains in batches, add agent columns, and trigger enrichment. Triggers on: "create table", "upload companies", "add to extruct", "new extruct table", "import companies", "upload list to extruct".

Build and maintain a global company context file that all other GTM skills read from. Captures product info, voice rules, ICP, win cases, proof library, campaign history, hypotheses, and DNC lists. Supports four modes: create (new context), update (append to existing), call recording capture (extract signals from transcripts), and feedback loop (import campaign results). Triggers on: "company context", "update context", "build context", "ICP", "win cases", "campaign history", "call recording", "feedback loop", "DNC list".

Research a target vertical's pain points using deep research APIs and distill findings into a numbered hypothesis set. Pure industry education tool — decoupled from email generation. Use when the user wants to understand a market before outreach, form hypotheses about a vertical, or build an industry knowledge base. Triggers on: "deep research", "hypothesis set", "research pain points", "research vertical", "sourcing research", "pain mapping", "industry problems", "market research", "educate me on".

Design enrichment columns that bridge research hypotheses to list enrichment. Two modes: segmentation (columns that score hypothesis fit per company) and personalization (columns for company-specific hooks). Interactive column design with the user. Outputs ready-to-run column_configs for list-enrichment. Triggers on: "data points", "enrichment columns", "column design", "what to research", "data point builder", "build columns", "segmentation columns", "personalization columns".

Generate testable pain hypotheses from the company context file (ICP, win cases, product knowledge) and user input. Fast, no API keys needed — pure reasoning. Outputs a hypothesis set with search angles that directly guide list-building queries. Sits between context-building and list-building. Triggers on: "build hypotheses", "hypothesis set", "pain hypotheses", "define hypotheses", "what pain points", "campaign angles", "search angles", "refine hypotheses".