varunk130

73 mods across 4 repositories, 14 stars between them.

lead-nurture

25

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Lead nurture orchestration - multi-track nurture design by intent stage, scoring, behavioral triggers, MQL→SQL handoff, and revival of cold leads. Use when: lead nurture, drip campaign, nurture track, lead scoring, MQL to SQL, lifecycle marketing, nurture sequence, behavioral trigger, lead revival, MQL handoff.

not rated 7 12d ago A 73 tokens original MIT

loyalty-lifecycle

26

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Customer loyalty and lifecycle orchestration - tiered loyalty design, lifecycle journey programs, milestone triggers, and retention economics for B2B and B2C. Use when: loyalty program, customer lifecycle program, tiered loyalty, milestone marketing, retention program design, lifecycle journey, loyalty economics…

not rated 7 12d ago A 70 tokens original MIT

referral-program

27

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Referral program design - referrer / referee incentive structure, viral mechanics, fraud and abuse controls, attribution, and channel placement. Use when: referral program, refer a friend, viral loop design, K-factor, advocacy referrals, partner referrals, customer referral incentives, referral attribution, viral…

not rated 7 12d ago A 62 tokens original MIT

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Renewal orchestration playbook - risk identification, renewal motion design, multi-thread engagement, commercial negotiation, and expansion-at-renewal plays. Use when: renewal playbook, renewal forecast, renewal risk, multi-year renewal, NRR, GRR, churn save, contract negotiation, expansion at renewal, renewal handoff.

not rated 7 12d ago A 72 tokens original MIT

revenue-analytics

29

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Revenue analytics architecture - ARR / NRR / GRR decomposition, cohort retention, expansion drivers, segment economics, and CAC payback diagnostics. Use when: revenue analytics, ARR waterfall, NRR analysis, GRR, expansion analysis, cohort revenue retention, CAC payback, magic number, segment economics, revenue…

not rated 7 12d ago A 69 tokens original MIT

revenue-forecasting

30

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Revenue forecasting pipeline - bottoms-up pipeline forecast, tops-down model, ensemble blending, scenario analysis, and forecast calibration loop. Use when: revenue forecast, sales forecast, pipeline forecast, bookings forecast, NRR forecast, ARR forecast, forecast calibration, scenario planning, ensemble forecasting…

not rated 7 12d ago A 64 tokens original MIT

voice-of-customer

31

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Voice of Customer program - multi-source signal collection, theming and prioritization, evidence-to-action routing, and product / CS / marketing feedback loop closure. Use when: voice of customer, VoC program, customer feedback, NPS / CSAT / CES, qualitative theming, feedback synthesis, product feedback loop, customer…

not rated 7 12d ago A 73 tokens original MIT

citation-radar

32

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Audits how likely AI answer engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) are to cite your pages for the questions buyers ask, then ranks fixes by citation lift. Use when: ai search visibility, generative engine optimization, geo audit, aeo, llm citations, are we cited in ai answers, ai overviews…

not rated 7 12d ago A 83 tokens original MIT

context-anchor

33

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Interviews the team once and writes a single GTMCONTEXT.md (ICP, positioning, voice, proof, competitors) that every other GTM skill reads, then scores how fresh and complete it is. Use when: set up gtm context, company context file, shared positioning file, brand context, icp file, onboard the gtm skills, context is…

not rated 7 12d ago A 81 tokens original MIT

deal-xray

34

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Stress-tests a live opportunity by separating what the buyer has proven from what the rep believes, then scores deal risk and names the next action that would change the forecast. Use when: deal review, deal risk, pipeline review, forecast call, is this deal real, qualify this opportunity, stalled deal, commit or…

not rated 7 12d ago A 68 tokens original MIT

territory-balance

35

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Carves accounts into sales territories that are fair on opportunity, not just account count, and flags coverage gaps and overloaded reps before the quarter starts. Use when: territory planning, territory design, carve territories, rebalance accounts, sales capacity planning, quota fairness, coverage model, account…

not rated 7 12d ago A 63 tokens original MIT

trigger-cadence

36

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Builds outbound sequences that start from a specific buying trigger (funding, hiring, tech change, leadership move, product usage) instead of a static persona list, with a routing table that picks the cadence for each trigger. Use when: outbound sequence, cold email cadence, signal-based outbound, trigger-based…

not rated 7 12d ago A 81 tokens original MIT

win-loss-decoder

37

varunk130/ai-gtm-skill-library

Skill Claude CodeCodex

Turns closed-won and closed-lost deals into ranked, evidence-backed reasons (not rep-selected dropdowns) and routes each pattern to the team that can fix it. Use when: win loss analysis, why did we lose, why do we win, closed lost review, loss reasons, churned deals, competitive losses, buyer interviews.

not rated 7 12d ago A 73 tokens original MIT

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

WCAG 2.2 Level AA accessibility audit for AI product surfaces - color contrast, focus order, ARIA usage, keyboard navigation, motion/animation, reduced-motion respect, alt text, and form label association. Use when: accessibility audit, a11y review, WCAG audit, screen reader compliance, keyboard-only navigation, color…

not rated 3 12d ago A 88 tokens original MIT

ai-agent-ux

39

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Design user experiences for autonomous AI agents that act on behalf of users - control panels, consent flows, action previews, audit trails, and undo mechanisms. Use when: agentic AI, autonomous agents, AI autonomy controls, agent UX, AI actions, computer use, agent consent, agent audit trail.

not rated 3 changed 13d ago A 65 tokens original MIT

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Design conversational AI interfaces that feel natural, recover from failures gracefully, and build user trust through dialogue. Use when: chatbot UX, conversational UI, dialogue design, AI assistant interface, chat flow, turn-taking, AI persona voice, multi-turn context.

not rated 3 12d ago A 56 tokens original MIT

ai-error-resilience

41

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Design graceful failure experiences for AI products - hallucinations, uncertainty, wrong outputs, and edge cases. Use when: AI hallucination UX, error handling for AI, uncertainty design, graceful degradation, AI failure recovery, confidence thresholds, safe fallbacks.

not rated 3 changed 13d ago A 55 tokens original MIT

ai-feedback-loops

42

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Design feedback mechanisms that help AI systems learn from users - thumbs up/down, preference ranking, corrections, and human-in-the-loop escalation. Use when: RLHF UX, user feedback for AI, thumbs up down design, AI correction flow, human in the loop, feedback signal design, AI improvement loops.

not rated 3 12d ago A 66 tokens original MIT

ai-journey-mapper

43

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Map human-AI interaction journeys - trust arcs, capability discovery paths, autonomy progression, and AI-specific touchpoints. Use when: AI user journey, human-AI interaction mapping, trust arc mapping, AI capability discovery, AI adoption journey, AI experience map.

not rated 3 12d ago A 59 tokens original MIT

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Design how AI presents results across text, code, images, charts, and mixed media - response formatting, output hierarchy, and cross-modal transitions. Use when: AI output design, response formatting, AI results display, multimodal output, AI-generated content presentation, code output UX, AI visualization.

not rated 3 12d ago A 66 tokens original MIT

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Design onboarding experiences that help users build accurate mental models of AI capabilities, set expectations, and discover features progressively. Use when: AI onboarding, progressive disclosure for AI, capability communication, AI mental models, expectation setting, AI feature discovery, first-time AI user…

not rated 3 changed 12d ago A 59 tokens original MIT

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Design AI-driven personalization that adapts interfaces to users while respecting privacy, avoiding filter bubbles, and maintaining user agency. Use when: adaptive UI, AI personalization, recommendation UX, filter bubble prevention, privacy personalization balance, algorithmic fairness UX, user preference learning.

not rated 3 12d ago A 60 tokens original MIT

ai-prompt-ux

47

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Design the input experience for AI products - how users craft, structure, and refine their instructions to AI systems. Use when: prompt interface, AI input design, prompt templates, prompt suggestions, context window UX, instruction design, AI input affordances, prompt engineering UX.

not rated 3 12d ago A 60 tokens original MIT

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Design safety experiences for AI products - content moderation UX, bias detection surfaces, harm prevention patterns, and responsible AI interfaces. Use when: AI safety UX, content moderation, responsible AI, AI bias UX, harm prevention, content filtering UX, AI refusal design, safety disclaimers.

not rated 3 changed 13d ago A 63 tokens original MIT

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