varunk130

66 mods across 4 repositories, 12 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.

5 1mo 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…

5 1mo 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…

5 1mo 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.

5 1mo 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…

5 1mo 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…

5 1mo 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…

5 1mo 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…

3 29d ago A 88 tokens original MIT

ai-agent-ux

33

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.

3 29d 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.

3 29d ago A 56 tokens original MIT

ai-error-resilience

35

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.

3 29d ago A 55 tokens original MIT

ai-feedback-loops

36

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.

3 29d ago A 66 tokens original MIT

ai-journey-mapper

37

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.

3 29d 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.

3 29d 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…

3 29d 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.

3 29d ago A 60 tokens original MIT

ai-prompt-ux

41

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.

3 29d 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.

3 29d ago A 63 tokens original MIT

varunk130/ai-ux-skill-library

Skill Claude CodeCodex

Design explainability interfaces that help users understand AI decisions, build calibrated trust, and verify AI outputs. Use when: AI explainability, XAI UX, confidence indicators, citation design, source attribution, trust signals, AI transparency, why did AI do this.

3 29d ago A 58 tokens original MIT