42 Claude Code skills
for B2B SaaS go-to-market.

Builds an SDR-runnable Ideal Customer Profile. Tier 1/2/3 segmentation, disqualifiers, firmographic + technographic + behavioral signals, economic-reality filter, persona map, 0–100 scoring rubric.

Builds a 5-touch cold outbound sequence that lands in inbox. Deliverability infrastructure (warmup, lookalike domains, SPF/DKIM/DMARC), TRIGGER → PROBLEM → VALUE → MICRO ASK copy framework, A/B plan, reply-handling SLAs.

Runs a 30-minute discovery call that surfaces real deals from fake ones. Three-act structure, operator-grade MEDDPICC, the five highest-leverage questions including the status-quo test.

Builds a discovery-driven three-act demo (problem framing, ONE use case, close). Anti-tour. Stakeholder choreography for Champion + EB + End User + Blocker.

Runs a weekly forecast that catches slip before it kills the quarter. Stage definitions with exit criteria, MEDDPICC-driven deal scorer, Commit / Best Case / Pipeline / Strategic categories, slip detection.

Builds the marketing-to-sales lead handoff that stops 80% of MQLs from rotting. MQL definition (firmographic AND behavioral), sub-tiered routing (5-min / 1-hour / 24-hour SLA), disqualification picklist, feedback loop.

Runs a LinkedIn outbound motion that books meetings without LinkedIn jail. Connection-to-DM ladder over 21 days, the underrated content engagement layer, Sales Nav setup, account safety rules.

Rewrites a B2B SaaS page so AI search engines (ChatGPT, Perplexity, Google AI Overviews) cite it inside synthesized answers. Chunk-rewrite plan, inverted-pyramid restructure, FAQ block, JSON-LD spec, branded-mention seeding plan, Reference Rate measurement.

Builds a Reddit thread engagement motion that drives qualified profile clicks to your site without burning the account. 2-3 week account warmup, subreddit selection rubric, the link-in-profile play, bother-score for thread selection, operator-voice drafting framework, AI-assist mechanic compressing 15-min comments to 2 min, measurement and break-even check at 30 days.

Turns one insight, asset, or data point into a systematic LinkedIn content engine — the sharp operator angle, three scroll-stopping hooks, the post in a proven format, an engagement-bait-free CTA, an optional carousel, and a repurpose chain so one idea works five times. Consistency over virality.

Replaces spray-and-pray with signal-triggered outreach. A taxonomy of buying signals (job changes, funding, hiring, tech-stack moves, intent), where to source each, a signal-to-play map, signal-led openers that read observant not creepy, prioritization by signal strength times ICP fit, and freshness SLAs.

Builds programmatic content at scale that becomes a moat instead of index bloat. A unique data source, one well-designed template, clean URL patterns, automated internal linking, a thin-content guardrail so every page earns its existence, index-bloat prevention, and a measure-and-prune loop.

Designs a three-tier pricing structure that maximizes ACV without killing inbound. Anchor logic, decoy effect, per-seat vs usage vs flat decision, expansion levers (40/30/20/10 mix), discount discipline, negotiation playbook.

Designs a SDR/AE/AM comp plan reps will sell hard against. OTE, base/variable, quota math (4-5x OTE), accelerators, kickers, SPIFs, ramp policy, clawbacks. Single-page documented plan with signature line.

Computes the metrics that steer a GTM motion — the MRR bridge, gross and net revenue retention, fully-loaded CAC, LTV with the right formula, CAC payback, magic number, burn multiple, and Rule of 40 — each with its canonical definition, an operator benchmark, and the lever that moves it. Board-ready scorecard.

Builds the economic case a champion takes to the economic buyer to win budget. Quantified status-quo cost, hard and soft value drivers, an ROI and payback model, the cost of doing nothing, conservative sourced assumptions, and a champion-ready one-pager framed in the buyer metrics — the document that gets budget approved when you are not in the room.

Engineers the path to a signed new-business deal instead of begging for it at the end. A mutual action plan reverse-engineered from the signature date, the paper process surfaced early, discount discipline, a concession map that trades every give, closing techniques that drive, and slip prevention. Seller-side new business.

Maps the buying committee and builds a real champion so a deal survives a contact going dark. A stakeholder map (champion, economic buyer, technical buyer, users, blocker, procurement) with stance and coverage, the champion-versus-coach test, a champion-build plan, the economic-buyer access play, and blocker management.

Builds an onboarding motion that drives new customers to first value fast — the highest-leverage retention play. A sales-to-CS handoff, a defined activation moment that predicts retention, a milestone plan with owners and dates, a time-to-value target, stalled-onboarding early-warning triggers, graduation criteria, and an expansion seed.

Builds a retention system that catches churn before the renewal. Cohort retention analysis, a churn taxonomy, a customer health-score model, risk tiers with early-warning, a save-play library matched to each churn reason, an at-risk renewal SOP that runs 90 days ahead, and a win-back play. Moves gross retention.

Builds the land-and-expand motion that drives net revenue retention above 100%. An expansion thesis (whitespace), expansion-qualified signals, the land-and-expand sequence, CS-vs-AE ownership and comp, the upsell, cross-sell, and tier-up plays, an NRR target model, and the discipline of never asking an at-risk account for more.

Runs quarterly business reviews and account plans that retain and grow key accounts. Account segmentation, the strategic account plan (whitespace, stakeholder map, value delivered, risks, growth plan), a QBR structure that proves value and surfaces expansion instead of touring the roadmap, the value-realization story in the buyer metrics, and the cadence.

Decides when (and how) to hand founder-led sales to a first rep without breaking the motion. Readiness assessment, AE-vs-SDR-first decision, 14-component playbook handoff, 90-day ramp plan, founder transition.

Sets sales quota and capacity that actually close the number, reconciled two ways — top-down from the company target and bottom-up from ramped rep capacity. A capacity model in ramped rep equivalents, per-rep quota with a coverage buffer, the ramp curve, TAM-backed territory design, and a hiring plan that back-schedules off ramp lead time.

Hires GTM reps (SDR/AE/AM/CS) against a structured scorecard that predicts performance instead of a charm contest. Outcome-defined roles, a per-role competency model, behaviorally-anchored 1-4 ratings, a structured interview loop with a work-sample, signal-vs-noise guidance, an independent-scoring debrief, and reference back-channel questions.

Builds a rep ramp and enablement program that cuts time-to-productivity. A measurable definition of ramped, a 30/60/90 plan, curated enablement content, certification gates before live pipeline, a fractional ramp quota on the curve, the manager coaching cadence with stalling-ramp early-warning, and ongoing reinforcement.

Installs a repeatable sales process and methodology that actually sticks. An end-to-end process map, a chosen methodology operationalized into concrete CRM fields and questions, stage gates with exit criteria, the CRM as system of record, the adoption layer (train, certify, enforce, coach), a single playbook document, and an adoption metric.

Sizes a market defensibly — TAM, SAM, and SOM built bottom-up from real account counts and ACV, sanity-checked top-down, with segmentation, a SOM grounded in actual GTM capacity, sourced assumptions, and a range instead of a single fantasy number. Show the floor, not 1% of a huge number.

Builds positioning that makes your value obvious to the right buyer, then cascades it into a messaging hierarchy. Competitive alternatives, unique attributes, the value they enable, who cares most, the market frame, an internal positioning statement, and the one-liner, value props, and proof that flow from it.

Decides whether to reframe the market or just position within it (the honest gate — most should position), and if reframing, builds the point-of-view narrative: the contrarian insight, old-game vs new-game, an earnable category frame, the villain, and the evangelism plan. Catches the renaming-with-no-narrative failure mode.

Chooses the right GTM motion — sales-led, product-led, hybrid, channel, or community — matched to ACV, product time-to-value, how the buyer buys, and the CAC-payback math, with the hybrid reality and the downstream org implications. Pick the motion the math demands, not the one the latest blog praised.

Audits a GTM stack on cost, redundancy, and AI-readiness together. True-cost inventory with confidence tags, an overlap score, a 0-100 AI-readiness score per tool, keep/replace/drop verdicts behind a switching-cost gate, a downward-skewed savings range with no false precision, and a renewal calendar so you act before auto-renew.

Picks the right tool for your motion, stage, and switching tolerance — or decides to build, or buy nothing yet. Job-defined must-haves, the category landscape (leaders, runners-up, skip list), the build-vs-buy gate, an AI-native filter, total cost of ownership, and a pilot designed to actually decide.

Deep-grades one tool or category on whether an agent can actually drive it. A five-component rubric — AI-native vs bolted-on, headless/API/MCP exposure, automation surface, data portability, vendor AI velocity — scored to a 0-100 composite, an A-F grade, and a lean-in, watchlist, or plan-exit verdict, with evidence behind every score.

The operator-authored questions to ask a vendor before signing — the ones the AE never volunteers. Banks for commercial gotchas, data lock-in, integration reality, AI claims, implementation truth, and vendor viability, plus the reference-check questions, each with what a good versus bad answer sounds like and the red-flag triggers.

Runs a renewal as a negotiation instead of an auto-renew formality. A leverage inventory, price anchors, a target and walkaway backed by a BATNA, the ask ladder, a concession map, and a timed script — so you stop leaving 10-30% on the table. Leverage is highest 90 days out and zero after auto-renew.

Turns a stack-audit verdict into a sequenced migration runbook that does not break the motion. Dependency mapping, data migration with validate-before-cancel, integration rebuild, change management, a parallel-run with rollback triggers, and savings you only count once the contract is actually dead.

Builds a curated, self-compounding GTM knowledge base that turns Claude into an expert on your motion. A cheap generation loop for breadth, a curation pass that injects your first-party numbers and cuts the generic, a hard anti-fabrication guardrail, retrieval-friendly structure, and wiring into Claude via CLAUDE.md or memory so every session loads it. Sell the method or the curated asset — never the raw output.

Builds a bounded GTM AI agent or MCP server that actually acts. Scope one narrow job, give it real tools (CRM, enrichment, send, schedule), ground it in real data, gate every irreversible or outward action behind human approval, eval it against outcomes, and roll it out shadow-first. Autonomy earned by eval, not granted by optimism.

Builds a multi-provider enrichment waterfall that maximizes coverage and minimizes cost. Define only the fields you act on, order providers by cost-to-match, stop at first valid match, verify before you trust (found is not valid), never pay twice for a field, track cost-per-match, and prune the providers that are not earning their spend.

Builds the cold-email infrastructure that lands in the inbox — the layer underneath the copy. Sending-domain strategy (never the primary), SPF/DKIM/DMARC, mailbox warmup, per-inbox volume caps and ramp, domain rotation as a consumable asset, bounce/spam/reply monitoring, and a recovery runbook for when reputation drifts.

Installs CRM hygiene and automation that holds instead of a one-time scrub that rots. A clean object model and system of record, dedup and merge with survivorship and prevention-at-entry, field standardization (picklists, not free text), enrichment sync with freshness handling, lead routing with a speed-to-lead SLA, and the standing automations that keep it clean — on a scorecard with an owner.