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Claude Skills by varunk130
github.com/varunk13065 skills3 installs84 views
- Abm PlaybookAccount-Based Marketing playbook builder - tiered account list (1:1, 1:few, 1:many), buying-group mapping, coordinated multi-channel plays per account, and pipeline acceleration plays for in-cycle accounts. Use when: ABM playbook, account-based marketing, target account list, tiered accounts, 1:1 marketing, buying group, named-account strategy, ABM plays, pipeline acceleration, in-cycle account acceleration.Votes: 0GitHub stars: 7
- Battle ScannerCompetitive intelligence engine that deconstructs competitor positioning, surfaces exploitable weaknesses, and predicts competitive responses. Use when: competitive analysis, competitor research, competitive landscape, competitive intelligence, who are our competitors, how do we compete against.Votes: 0GitHub stars: 7
- Budget AllocatorLaunch budget optimization using portfolio theory and scenario analysis with experimentation reserves. Use when: budget allocation, marketing budget, launch budget, how much to spend, budget planning, channel budget.Votes: 0GitHub stars: 7
- Citation RadarAudits 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, answer engine optimization.Votes: 0GitHub stars: 7
- Community CatalystProduct-led growth and community strategy engine that designs viral loops, self-serve onboarding funnels, and user community programs. Use when: PLG strategy, product-led growth, community strategy, viral growth, referral program, developer community, user community, growth loops.Votes: 0GitHub stars: 7
- Competitive BattlecardOn-demand sales battlecards for live competitive deals - positioning matrix, top objections with responses, trap questions, proof points, and a "do not say" list. Use when: competitor surfaced in deal, sales battlecard, competitive enablement, deal-specific battlecard, objection handling, competitive trap questions, why we win against, why we lose to, displacement playbook.Votes: 0GitHub stars: 7
- Competitive Exec BriefCreates an executive-ready competitive analysis brief with a 1-slide PPTX summary for leadership presentations. Use when: competitive brief, exec competitive summary, competitive slide, competitive pptx, board competitive update, leadership competitive briefing.Votes: 0GitHub stars: 7
- Context AnchorInterviews the team once and writes a single GTM_CONTEXT.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 stale, refresh positioning.Votes: 0GitHub stars: 7
- Deal XrayStress-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 upside.Votes: 0GitHub stars: 7
- Demand EngineMulti-channel demand generation strategy builder that designs the full pipeline from awareness to hand-raise with channel scoring and budget allocation. Use when: demand generation, demand gen strategy, lead generation, pipeline strategy, marketing channels, how do we generate demand, channel strategy.Votes: 0GitHub stars: 7
- Enablement ForgeSales and marketing enablement asset creation system that generates structured materials from pitch decks to objection handlers to ROI calculators. Use when: sales enablement, create battle cards, pitch deck, sales assets, talk tracks, objection handling, sales collateral, marketing assets.Votes: 0GitHub stars: 7
- Flywheel SyncMeta-skill that audits health of the entire product launch engine, identifies broken links between phases, and generates improvement roadmaps. Use when: system health, skill audit, launch engine health, are our skills working together, process audit, workflow health check.Votes: 0GitHub stars: 7
- Growth LoopRetention, expansion, and advocacy strategy that maximizes customer lifetime value through structured lifecycle programs. Use when: retention strategy, customer retention, expansion strategy, churn prevention, customer success, NRR, upsell, advocacy program.Votes: 0GitHub stars: 7
- Gtm Exec PlanCreates a polished 3-4 page GTM executive brief and plan with a 4-slide PowerPoint deck. Orchestrates market analysis, positioning, competitive intel, channel strategy, and launch planning into exec-ready deliverables. Use when: GTM plan, go-to-market plan, GTM strategy, GTM brief, executive GTM plan, GTM deck, GTM presentation, launch plan deck, product GTM strategy, platform GTM, developer platform GTM, new product GTM.Votes: 0GitHub stars: 7
- Journey ArchitectEnd-to-end customer journey mapping engine with gated progression model that designs every touchpoint from awareness through advocacy. Use when: customer journey, buyer journey, journey map, touchpoints, conversion funnel, buying process, customer experience mapping.Votes: 0GitHub stars: 7
- Launch CommandLaunch orchestration and readiness assessment engine with cross-functional workstream tracking and go/no-go gates. Use when: launch readiness, launch checklist, launch orchestration, go no go, launch plan, are we ready to launch.Votes: 0GitHub stars: 7
- Launch DebriefStructured post-launch retrospective that produces quantified learnings and improvement playbooks. Use when: launch retrospective, post-launch review, what worked, launch debrief, post-mortem, lessons learned.Votes: 0GitHub stars: 7
- Launch PulseGTM analytics and measurement framework that builds metrics architecture, dashboard specs, and alert systems. Use when: GTM metrics, launch metrics, measurement framework, KPIs, dashboard design, what should we measure, analytics framework.Votes: 0GitHub stars: 7
- Market AnalyzerComprehensive market analysis and sizing engine that goes beyond TAM/SAM/SOM to include growth drivers, risk factors, segment dynamics, and investment-grade market maps. Use when: market analysis, market sizing, market research, industry analysis, segment analysis, market opportunity, market landscape, how big is this market.Votes: 0GitHub stars: 7
- Partner BlueprintPartner and channel strategy architect that identifies, scores, and structures partnerships with mutual value propositions and co-GTM plans. Use when: partner strategy, channel partners, partnership, co-marketing, reseller strategy, integration partners, ecosystem strategy.Votes: 0GitHub stars: 7
- Position LockBrand positioning and messaging architecture engine that creates a defensible market position with cascading message hierarchy from tagline to feature copy. Use when: positioning, messaging, brand positioning, value proposition, messaging framework, how do we position, what is our message.Votes: 0GitHub stars: 7
- Product AnnouncementProduct announcement and launch communications generator that creates coordinated multi-channel launch messaging from press releases to social posts to internal comms. Use when: product announcement, launch announcement, product launch comms, press release, launch communications, announce new feature, announce new product.Votes: 0GitHub stars: 7
- Signal RadarContinuous macro-market signal detection and classification engine that surfaces emerging trends, threats, and whitespace opportunities. Use when: market signals, market intelligence, trend analysis, emerging threats, market monitoring, what is changing in our market.Votes: 0GitHub stars: 7
- Territory BalanceCarves 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 assignment.Votes: 0GitHub stars: 7
- Trigger CadenceBuilds 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 prospecting, sales sequence, follow-up cadence, re-engagement campaign.Votes: 0GitHub stars: 7
- Whitespace FinderSystematic unmet-needs discovery engine that maps gaps between market demand and existing solutions with quantified opportunity scores. Use when: find opportunities, unmet needs, market gaps, opportunity discovery, what should we build, where is the whitespace.Votes: 0GitHub stars: 7
- Win Loss DecoderTurns 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.Votes: 0GitHub stars: 7
- Customer AdvocacyCustomer advocacy program design - advocate identification, reference orchestration, case study pipeline, community amplification, and influence-to-revenue attribution. Use when: customer advocacy, customer reference program, case study program, advocate identification, customer marketing, peer review acceleration, G2 / Gartner Peer Insights, customer-led growth, reference architecture.Votes: 0GitHub stars: 7
- Customer AnalyticsCustomer analytics framework - cohort retention, lifecycle funnels, engagement scoring, segmentation, and behavioral diagnostics for product and CS teams. Use when: customer analytics, cohort analysis, retention curve, engagement score, customer segmentation, behavioral analysis, lifecycle funnel, RFM, activation diagnostics, usage analysis.Votes: 0GitHub stars: 7
- Customer SuccessCustomer Success operating system - segmented coverage model, health scoring, risk playbooks, value reviews, and expansion motions tied to net revenue retention. Use when: customer success strategy, CS operating model, health score, risk playbook, EBR / QBR design, churn prevention, net retention, NRR, GRR, success plan, value realization, customer journey post-sale.Votes: 0GitHub stars: 7
- Lead NurtureLead 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.Votes: 0GitHub stars: 7
- Loyalty LifecycleCustomer 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, member tiers, retention motion.Votes: 0GitHub stars: 7
- Referral ProgramReferral 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 coefficient.Votes: 0GitHub stars: 7
- Renewal OrchestrationRenewal 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.Votes: 0GitHub stars: 7
- Revenue AnalyticsRevenue 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 diagnostics.Votes: 0GitHub stars: 7
- Revenue ForecastingRevenue 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, board forecast.Votes: 0GitHub stars: 7
- Voice Of CustomerVoice 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 insight engine.Votes: 0GitHub stars: 7
- Ai Accessibility AuditWCAG 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 contrast check, focus management, ARIA review, accessible AI UX.Votes: 0GitHub stars: 3
- Ai Agent UxDesign 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.Votes: 0GitHub stars: 3
- Ai Conversation ArchitectDesign 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.Votes: 0GitHub stars: 3
- Ai Error ResilienceDesign 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.Votes: 0GitHub stars: 3
- Ai Feedback LoopsDesign 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.Votes: 0GitHub stars: 3
- Ai Journey MapperMap 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.Votes: 0GitHub stars: 3
- Ai Multimodal OutputDesign 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.Votes: 0GitHub stars: 3
- Ai Onboarding CalibrationDesign 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 experience.Votes: 0GitHub stars: 3
- Ai Personalization EthicsDesign 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.Votes: 0GitHub stars: 3
- Ai Prompt UxDesign 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.Votes: 0GitHub stars: 3
- Ai Safety GuardrailsDesign 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.Votes: 0GitHub stars: 3
- Ai Trust TransparencyDesign 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.Votes: 0GitHub stars: 3
- Ai Ux EvalEvaluate the UX quality of an AI product with a scored, repeatable rubric - eval set design, criteria that raters agree on, score bands tied to ship decisions, rater calibration, and instrumented signals. Use when: AI UX evaluation, UX eval rubric, score my AI UX, UI quality audit, measure AI experience quality, UX scorecard, design QA for AI, ship readiness review.Votes: 0GitHub stars: 3