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gtmskills.com

Build the brain before the agents.

Diagnose the foundation, fix the data, score accounts the way a system should, and make the change stick. The skills teams reach for when the GTM org goes AI-native.

15 skills, curated by hand.

Run this playbook on your company.

Swan works through all 4 steps for your company, starting with step 1.

01 · Diagnose

Audit the foundation first.

Find what is broken before you automate it, and agree on the principles the system should run on.

Leadership0

Amos Bar-Joseph

getswan.comCEO & Co-Founder

AI GTM transformation audit

Use this skill when a GTM leader (CRO, CMO, VP Sales, RevOps, CS leader, founder) wants to know where their organization really stands on its AI GTM transformation, what is holding it there, and what to do in the next 30 days to move up. It runs a short structured interview, places the org on one of four levels (Mostly manual, AI as an answer engine, AI as an action engine, Shared AI layer), shows where People, Process, Systems and Data each sit against a concrete picture of what good looks like, and writes a one-page readout a leadership team can act on. Also answers "AI readiness assessment", "AI maturity audit for sales and marketing", "where are we on AI in GTM", "why isn't AI moving our numbers".

RevOps0

Scott Wueschinski

gtmify.ioCo-Founder @ GTMify

Revenue engine maturity diagnostic

Use this skill when a company wants to know why its go-to-market is not producing predictable revenue, before it buys automation, AI, or more headcount. Scores the revenue engine on six dimensions (ICP definition, scoring, outreach, data quality, feedback loops, automation) against a five-level maturity model (Foundation, Systemized, Orchestrated, Predictive, Compound), places the company at the level its weakest dimension supports, and returns the specific gaps to close for the next level. Reach for it when someone says "GTM maturity assessment", "are we ready for AI SDRs", "why is pipeline unpredictable", "revenue engine audit", "what should we automate first", or "we work hard and still miss the number".

RevOps1

Sangram Vajre

gtmpartners.comCo-founder & CEO

MOVE GTM diagnostic

Use this skill when a company wants to audit its go-to-market foundation before scaling or automating - it runs Sangram Vajre's WSJ-bestselling MOVE framework, the 4-question GTM diagnostic (Market, Operations, Velocity, Expansion), to find where GTM is misaligned, identify which of the three fit stages the company is actually in (Problem-Market / Product-Market / Platform-Market), and return a prioritised list of what to fix first. Trigger phrases: "GTM audit", "GTM diagnostic", "GTM health check", "MOVE assessment", "are we ready to scale", "why isn't our GTM working" - and before standing up any new outbound, inbound, or deal-process engine. This is a diagnosis, not a build - run it first.

Sales33

Alex Vacca

frontal.soFounder & CEO @ Frontal

GTM philosophy

Use this skill when defining outbound strategy, training sales teams, or establishing GTM fundamentals. Core principles — scale what top performers do, signal-based outreach, lead with pain, segment don't over-personalize — plus multi-channel coordination and key mindsets on personalization, volume, timing, and messaging.

02 · Fix the data

Build the data layer agents can trust.

Architect GTM data, clean up the CRM under governance, rationalize the stack, and push scored audiences from the warehouse into live motion.

RevOps29

Rutger Katz

neontriforce.comFounder @ Neon Triforce — AI-Ready Revenue Systems

GTM data architecture

GTM data architecture for revenue operators who are not data engineers; warehouse-native and zero-copy patterns that have won in the market. Use when designing GTM data stacks, planning data transformation layers, evaluating CDP vendors, building identity resolution and unified customer intelligence, implementing reverse ETL (Hightouch or Census), or assessing data readiness for AI agents. Also trigger on 'data architecture', 'ELT vs ETL', 'warehouse-native CDP', 'composable CDP', 'reverse ETL implementation', 'dbt for RevOps', 'unified health scores', 'customer data platform strategy', or 'data mesh for GTM'. BOUNDARY: Covers architecture and transformation layers only. Handoff to revops-data-governance for CRM data quality and governance; to revops-tech-stack for vendor selection frameworks; to gtm-planning for strategy implications. This skill addresses the data layer for a RevOps team scaling AI adoption.

RevOps25

Rutger Katz

neontriforce.comFounder @ Neon Triforce — AI-Ready Revenue Systems

Fix your CRM data chaos

Use this skill when CRM reports do not match, fields are a mess, hundreds of properties sit unused, or nobody trusts the data. Builds a data model mapped to the customer journey, designs field naming conventions and governance, sets up quality scorecards (completeness, accuracy, consistency, timeliness), and audits integrations to stop data rot. Produces a data dictionary, a field governance process with create and deprecate workflows, and quarterly quality targets. Rule: if a field has no documented owner and no documented use case, delete it. Trigger phrases: our reports do not match, our CRM is a mess, data quality, system of record, deduplication, field governance.

RevOps0

Ryan Iyengar

fullstackgtm.comCEO & Founder, Full Stack GTM

Governed CRM cleanup

Use this skill when CRM data is unreliable, a cleanup is overdue, or a team is considering a bulk correction. Produces an evidence-backed audit, a reviewable change plan, approved corrections, and controls that prevent the same defects from returning.

RevOps23

Rutger Katz

neontriforce.comFounder @ Neon Triforce — AI-Ready Revenue Systems

Revenue tech stack architecture

Revenue technology stack architecture, value engineering, platform evaluation, and capability mapping for B2B GTM teams. Use when the user mentions tech stack, martech stack, sales tech, CRM evaluation, platform selection, tool consolidation, stack audit, build vs buy, integration architecture, composability, iPaaS, CDP, MAP, sales engagement platform, AI tools for GTM, AI maturity, AI orchestration, AI agents, knowledge layer, semantic retrieval, RAG stack, vector database, EU AI stack, GDPR AI tools, knowledge management platform, Glean, Langdock, Weaviate, Qdrant, Pinecone, LlamaIndex, LangChain, Dust.tt, Guru, or Notion AI. Also trigger on 'we have too many tools,' 'our tools don't talk to each other,' 'should we buy X or build it,' 'where should our knowledge live,' or 'how do we give AI access to our internal docs.' BOUNDARY: Covers TECHNOLOGY evaluation and architecture. For strategy framing, see revops-strategy. For HubSpot, see revops-hubspot. For data governance, see revops-data-governance.

RevOps0

Austin Hay

khoslaventures.comOperating Partner @ Khosla Ventures

Reverse ETL activation

Use this skill when you need to turn a scored, segmented audience sitting in the warehouse (BigQuery, Snowflake, Redshift) into live GTM motion, syncing accounts, contacts, and computed traits out to the CRM, ad platforms, and sequencing tools. It encodes the judgment that keeps reverse ETL from quietly polluting every downstream system: identity resolution before any write, a change-data-capture diff so only real deltas move, field-level mapping with type and format guards, suppression and consent gates, sync scheduling matched to each destination's rate limits, and a mandatory dry run plus row-count reconciliation before and after the live push. Every threshold (match-confidence floor, batch size, sync cadence, max-delete guard, suppression rules) is a tunable default. Each run produces a validated sync plan, a dry-run diff of adds, updates, and suppressions with counts, and a reconciliation report after the live sync.

03 · Score

Let the system decide where to focus.

Tier every account on evidence instead of gut feel, and stack the signals that say when to act.

Deals36

Amos Bar-Joseph

getswan.comCEO & Co-Founder

Account tier scoring

Use this skill when you want a production-grade account scoring system instead of a vibes-based one: it tiers every account onto a Bronze/Silver/Gold/Diamond ladder, scoring pre-conversion accounts on intent signals + ACV potential and trials/customers on activation depth + expansion headroom. It encodes the judgment that makes scoring trustworthy — a hard self-serve gate with LinkedIn headcount verification, an enterprise persona gate, anonymous-signal and social-engagement caps, prior-relationship floors, and never-demote rules — with every threshold exposed as a tunable default. Each run produces a verified tier tag and ACV tag, a prepended signal-stack snapshot in account memory, a CRM lead-score sync, and correctly routed Gold/Diamond alerts with per-stakeholder engagement recommendations.

Signals45

Alex Vacca

frontal.soFounder & CEO @ Frontal

The signal sourcer

Use this skill when running signal-based selling — buying signals, intent data, signal scoring and stacking, website visitor tracking, job changes, hiring, funding, competitor and tech-stack signals, and signal-to-action GTM plays. Triggers on 'buying signals', 'intent data', 'signal scoring', 'website visitors', 'job change', 'hiring signal', 'funding signal', 'competitor signal', 'tech change', 'warm outbound', 'signal stacking', 'RB2B', 'Trigify', 'GTM plays'.

Signals27

Din Arbel

utila.ioGTM @ Utila

Signal interpreter

Use this skill when interpreting a raw GTM signal — a business event or an intent spike — into relevance, meaning, strength, confidence, category, why-now, and open questions, before any tiering or routing happens. It is a pure interpretation layer with no side effects: it never assigns tiers, chooses actions, sends alerts, or writes memory.

04 · Make it stick

Change how the team actually works.

Plan the rollout, decide how much the agents may do on their own, and make their output readable, so the new way survives the quarter.

RevOps24

Rutger Katz

neontriforce.comFounder @ Neon Triforce — AI-Ready Revenue Systems

RevOps change management

Revenue change management: plan change, design enablement, make it stick, measure adoption. Trigger on change management, enablement design, adoption failure, rollout plan, communication plan, stakeholder management, training that doesn't stick, behavior change, coaching program, process change, system migration, comp plan change, territory change, Kotter, ADKAR, spaced repetition, forgetting curve, reverse salient, traffic light model, Bloom's taxonomy, 'nobody follows the new process,' 'we trained them but nothing changed,' 'the tool is built but nobody uses it,' 'how do we get buy-in,' 'people are pushing back,' AI change management, FOBO, shadow AI, AI adoption, works council AI, AI governance framework, AI rollout, or fear of becoming obsolete. BOUNDARY: For HubSpot adoption, see revops-hubspot. For GTM org change, see gtm-planning.

RevOps0

Nadav David

kidoz.netStrategic Partnerships Manager, Kidoz

Earned autonomy

Use this skill when deciding how much a GTM agent may do without a human looking, when a workflow is ready to run on a schedule, when outreach should stop requiring per-item approval, and when something has gone wrong and autonomy needs pulling back. Produces a level per task with the evidence required to move up and the triggers that drop it automatically. Trigger phrasings: "can I let the agent send", "when do I stop reviewing every draft", "how much should I automate", "the agent made a mistake, now what", "is this workflow ready to run unattended".

Leadership0

Amos Bar-Joseph

getswan.comCEO & Co-Founder

Kill the wall of text

Use this skill when work is about to go from one person to another: a report, a plan, an analysis, a memo, meeting notes, research, a code change, a proposal, or a raw AI answer. Produces an interactive, human-readable page that the recipient can review in seconds, with a ten-second top, a two-minute body, and folded evidence, written in Simplified Technical English and signed by the sender after a review loop. Trigger phrasings: "make this digestible", "make this readable", "de-slop this", "turn this into an artifact", "one-pager", "exec view", "I need to forward this", "nobody will read this", "show me what I must decide".

Run this playbook on your company.

Swan works through all 4 steps for your company, starting with step 1.