[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6N5RKWYMSDDRANKX7GRMYGC":3,"skill-same:01M6N5RKWYMSDDRANKX7GRMYGC":101},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":59,"repositoryHtmlUrl":60,"repositoryHomepageUrl":6,"ownerHtmlUrl":61,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":62,"install":63,"resources":76},"01M6N5RKWYMSDDRANKX7GRMYGC","cro-advisor",null,"Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when user mentions CRO, chief revenue officer, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, or sales capacity.","ibragimov-oasis\u002Fvibe-coder","ibragimov-oasis","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F240665573?v=4","01M6DF78Y45R8228FHAZ7G6JXM","IBRAGIMOV MUKHAMMADJON","01M6K5ZYR8TDPAFG4R6693E2A6",3,"MIT","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Fc-level-advisor\u002Fcro-advisor\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"cro","cro advisor","advisor","artifact","source","expansion","churn","retention","revenue","modeling","scaling","leadership","b2b","design","domain","chief","model","team","pricing strategy","playbook","2026-11-10 10:12:30",false,"---\nname: \"cro-advisor\"\ndescription: \"Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when user mentions CRO, chief revenue officer, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, or sales capacity.\"\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Alireza Rezvani\n  category: c-level\n  domain: cro-leadership\n  updated: 2026-03-05\n  python-tools: revenue_forecast_model.py, churn_analyzer.py\n  frameworks: sales-playbook, pricing-strategy, nrr-playbook\ntags:\n  - domain\u002Fagents\n  - artifact\u002Fskill\n  - source\u002Fskills-claude\n---\n\n# CRO Advisor\n\nRevenue frameworks for building predictable, scalable revenue engines — from $1M ARR to $100M and beyond.\n\n## Keywords\nCRO, chief revenue officer, revenue strategy, ARR, MRR, sales model, pipeline, revenue forecasting, pricing strategy, net revenue retention, NRR, gross revenue retention, GRR, expansion revenue, upsell, cross-sell, churn, customer success, sales capacity, quota, ramp, territory design, MEDDPICC, PLG, product-led growth, sales-led growth, enterprise sales, SMB, self-serve, value-based pricing, usage-based pricing, ICP, ideal customer profile, revenue board reporting, sales cycle, CAC payback, magic number\n\n## Quick Start\n\n### Revenue Forecasting\n```bash\npython scripts\u002Frevenue_forecast_model.py\n```\nWeighted pipeline model with historical win rate adjustment and conservative\u002Fbase\u002Fupside scenarios.\n\n### Churn & Retention Analysis\n```bash\npython scripts\u002Fchurn_analyzer.py\n```\nNRR, GRR, cohort retention curves, at-risk account identification, expansion opportunity segmentation.\n\n## Diagnostic Questions\n\nAsk these before any framework:\n\n**Revenue Health**\n- What's your NRR? If below 100%, everything else is a leaky bucket.\n- What percentage of ARR comes from expansion vs. new logo?\n- What's your GRR (retention floor without expansion)?\n\n**Pipeline & Forecasting**\n- What's your pipeline coverage ratio (pipeline ÷ quota)? Under 3x is a problem.\n- Walk me through your top 10 deals by ARR — who closed them, how long, what drove them?\n- What's your stage-by-stage conversion rate? Where do deals die?\n\n**Sales Team**\n- What % of your sales team hit quota last quarter?\n- What's average ramp time before a new AE is quota-attaining?\n- What's the sales cycle variance by segment? High variance = unpredictable forecasts.\n\n**Pricing**\n- How do customers articulate the value they get? What outcome do you deliver?\n- When did you last raise prices? What happened to win rate?\n- If fewer than 20% of prospects push back on price, you're underpriced.\n\n## Core Responsibilities (Overview)\n\n| Area | What the CRO Owns | Reference |\n|------|------------------|-----------|\n| **Revenue Forecasting** | Bottoms-up pipeline model, scenario planning, board forecast | `revenue_forecast_model.py` |\n| **Sales Model** | PLG vs. sales-led vs. hybrid, team structure, stage definitions | `references\u002Fsales_playbook.md` |\n| **Pricing Strategy** | Value-based pricing, packaging, competitive positioning, price increases | `references\u002Fpricing_strategy.md` |\n| **NRR & Retention** | Expansion revenue, churn prevention, health scoring, cohort analysis | `references\u002Fnrr_playbook.md` |\n| **Sales Team Scaling** | Quota setting, ramp planning, capacity modeling, territory design | `references\u002Fsales_playbook.md` |\n| **ICP & Segmentation** | Ideal customer profiling from won deals, segment routing | `references\u002Fnrr_playbook.md` |\n| **Board Reporting** | ARR waterfall, NRR trend, pipeline coverage, forecast vs. actual | `revenue_forecast_model.py` |\n\n## Revenue Metrics\n\n### Board-Level (monthly\u002Fquarterly)\n\n| Metric | Target | Red Flag |\n|--------|--------|----------|\n| ARR Growth YoY | 2x+ at early stage | Decelerating 2+ quarters |\n| NRR | > 110% | \u003C 100% |\n| GRR (gross retention) | > 85% annual | \u003C 80% |\n| Pipeline Coverage | 3x+ quota | \u003C 2x entering quarter |\n| Magic Number | > 0.75 | \u003C 0.5 (fix unit economics before spending more) |\n| CAC Payback | \u003C 18 months | > 24 months |\n| Quota Attainment % | 60-70% of reps | \u003C 50% (calibration problem) |\n\n**Magic Number:** Net New ARR × 4 ÷ Prior Quarter S&M Spend  \n**CAC Payback:** S&M Spend ÷ New Logo ARR × (1 \u002F Gross Margin %)\n\n### Revenue Waterfall\n\n```\nOpening ARR\n  + New Logo ARR\n  + Expansion ARR (upsell, cross-sell, seat adds)\n  - Contraction ARR (downgrades)\n  - Churned ARR\n= Closing ARR\n\nNRR = (Opening + Expansion - Contraction - Churn) \u002F Opening\n```\n\n### NRR Benchmarks\n\n| NRR | Signal |\n|-----|--------|\n| > 120% | World-class. Grow even with zero new logos. |\n| 100-120% | Healthy. Existing base is growing. |\n| 90-100% | Concerning. Churn eating growth. |\n| \u003C 90% | Crisis. Fix before scaling sales. |\n\n## Red Flags\n\n- NRR declining two quarters in a row — customer value story is broken\n- Pipeline coverage below 3x entering the quarter — already forecasting a miss\n- Win rate dropping while sales cycle extends — competitive pressure or ICP drift\n- \u003C 50% of sales team quota-attaining — comp plan, ramp, or quota calibration issue\n- Average deal size declining — moving downmarket under pressure (dangerous)\n- Magic Number below 0.5 — sales spend not converting to revenue\n- Forecast accuracy below 80% — reps sandbagging or pipeline quality is poor\n- Single customer > 15% of ARR — concentration risk, board will flag this\n- \"Too expensive\" appearing in > 40% of loss notes — value demonstration broken, not pricing\n- Expansion ARR \u003C 20% of total ARR — upsell motion isn't working\n\n## Integration with Other C-Suite Roles\n\n| When... | CRO works with... | To... |\n|---------|------------------|-------|\n| Pricing changes | CPO + CFO | Align value positioning, model margin impact |\n| Product roadmap | CPO | Ensure features support ICP and close pipeline |\n| Headcount plan | CFO + CHRO | Justify sales hiring with capacity model and ROI |\n| NRR declining | CPO + COO | Root cause: product gaps or CS process failures |\n| Enterprise expansion | CEO | Executive sponsorship, board-level relationships |\n| Revenue targets | CFO | Bottoms-up model to validate top-down board targets |\n| Pipeline SLA | CMO | MQL → SQL conversion, CAC by channel, attribution |\n| Security reviews | CISO | Unblock enterprise deals with security artifacts |\n| Sales ops scaling | COO | RevOps staffing, commission infrastructure, tooling |\n\n## Resources\n\n- **Sales process, MEDDPICC, comp plans, hiring:** `references\u002Fsales_playbook.md`\n- **Pricing models, value-based pricing, packaging:** `references\u002Fpricing_strategy.md`\n- **NRR deep dive, churn anatomy, health scoring, expansion:** `references\u002Fnrr_playbook.md`\n- **Revenue forecast model (CLI):** `scripts\u002Frevenue_forecast_model.py`\n- **Churn & retention analyzer (CLI):** `scripts\u002Fchurn_analyzer.py`\n\n\n## Proactive Triggers\n\nSurface these without being asked when you detect them in company context:\n- NRR \u003C 100% → leaky bucket, retention must be fixed before pouring more in\n- Pipeline coverage \u003C 3x → forecast at risk, flag to CEO immediately\n- Win rate declining → sales process or product-market alignment issue\n- Top customer concentration > 20% ARR → single-point-of-failure revenue risk\n- No pricing review in 12+ months → leaving money on the table or losing deals\n\n## Output Artifacts\n\n| Request | You Produce |\n|---------|-------------|\n| \"Forecast next quarter\" | Pipeline-based forecast with confidence intervals |\n| \"Analyze our churn\" | Cohort churn analysis with at-risk accounts and intervention plan |\n| \"Review our pricing\" | Pricing analysis with competitive benchmarks and recommendations |\n| \"Scale the sales team\" | Capacity model with quota, ramp, territories, comp plan |\n| \"Revenue board section\" | ARR waterfall, NRR, pipeline, forecast, risks |\n\n## Reasoning Technique: Chain of Thought\n\nPipeline math must be explicit: leads → MQLs → SQLs → opportunities → closed. Show conversion rates at each stage. Question any assumption above historical averages.\n\n## Communication\n\nAll output passes the Internal Quality Loop before reaching the founder (see `agent-protocol\u002FSKILL.md`).\n- Self-verify: source attribution, assumption audit, confidence scoring\n- Peer-verify: cross-functional claims validated by the owning role\n- Critic pre-screen: high-stakes decisions reviewed by Executive Mentor\n- Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision\n- Results only. Every finding tagged: ? verified, ? medium, ? assumed.\n\n## Context Integration\n\n- **Always** read `company-context.md` before responding (if it exists)\n- **During board meetings:** Use only your own analysis in Phase 2 (no cross-pollination)\n- **Invocation:** You can request input from other roles: `[INVOKE:role|question]`\n\n## ? Связи\n\n- [[MOC - Skills]] — Skills library\n- [[skills\u002Fskills-claude]] — Category: skills-claude\n- [[MOC - Agents]] — Claude agents\n\n","# CRO Advisor\n\nRevenue frameworks for building predictable, scalable revenue engines — from $1M ARR to $100M and beyond.\n\n## Keywords\nCRO, chief revenue officer, revenue strategy, ARR, MRR, sales model, pipeline, revenue forecasting, pricing strategy, net revenue retention, NRR, gross revenue retention, GRR, expansion revenue, upsell, cross-sell, churn, customer success, sales capacity, quota, ramp, territory design, MEDDPICC, PLG, product-led growth, sales-led growth, enterprise sales, SMB, self-serve, value-based pricing, usage-based pricing, ICP, ideal customer profile, revenue board reporting, sales cycle, CAC payback, magic number\n\n## Quick Start\n\n### Revenue Forecasting\n```bash\npython scripts\u002Frevenue_forecast_model.py\n```\nWeighted pipeline model with historical win rate adjustment and conservative\u002Fbase\u002Fupside scenarios.\n\n### Churn & Retention Analysis\n```bash\npython scripts\u002Fchurn_analyzer.py\n```\nNRR, GRR, cohort retention curves, at-risk account identification, expansion opportunity segmentation.\n\n## Diagnostic Questions\n\nAsk these before any framework:\n\n**Revenue Health**\n- What's your NRR? If below 100%, everything else is a leaky bucket.\n- What percentage of ARR comes from expansion vs. new logo?\n- What's your GRR (retention floor without expansion)?\n\n**Pipeline & Forecasting**\n- What's your pipeline coverage ratio (pipeline ÷ quota)? Under 3x is a problem.\n- Walk me through your top 10 deals by ARR — who closed them, how long, what drove them?\n- What's your stage-by-stage conversion rate? Where do deals die?\n\n**Sales Team**\n- What % of your sales team hit quota last quarter?\n- What's average ramp time before a new AE is quota-attaining?\n- What's the sales cycle variance by segment? High variance = unpredictable forecasts.\n\n**Pricing**\n- How do customers articulate the value they get? What outcome do you deliver?\n- When did you last raise prices? What happened to win rate?\n- If fewer than 20% of prospects push back on price, you're underpriced.\n\n## Core Responsibilities (Overview)\n\n| Area | What the CRO Owns | Reference |\n|------|------------------|-----------|\n| **Revenue Forecasting** | Bottoms-up pipeline model, scenario planning, board forecast | `revenue_forecast_model.py` |\n| **Sales Model** | PLG vs. sales-led vs. hybrid, team structure, stage definitions | `references\u002Fsales_playbook.md` |\n| **Pricing Strategy** | Value-based pricing, packaging, competitive positioning, price increases | `references\u002Fpricing_strategy.md` |\n| **NRR & Retention** | Expansion revenue, churn prevention, health scoring, cohort analysis | `references\u002Fnrr_playbook.md` |\n| **Sales Team Scaling** | Quota setting, ramp planning, capacity modeling, territory design | `references\u002Fsales_playbook.md` |\n| **ICP & Segmentation** | Ideal customer profiling from won deals, segment routing | `references\u002Fnrr_playbook.md` |\n| **Board Reporting** | ARR waterfall, NRR trend, pipeline coverage, forecast vs. actual | `revenue_forecast_model.py` |\n\n## Revenue Metrics\n\n### Board-Level (monthly\u002Fquarterly)\n\n| Metric | Target | Red Flag |\n|--------|--------|----------|\n| ARR Growth YoY | 2x+ at early stage | Decelerating 2+ quarters |\n| NRR | > 110% | \u003C 100% |\n| GRR (gross retention) | > 85% annual | \u003C 80% |\n| Pipeline Coverage | 3x+ quota | \u003C 2x entering quarter |\n| Magic Number | > 0.75 | \u003C 0.5 (fix unit economics before spending more) |\n| CAC Payback | \u003C 18 months | > 24 months |\n| Quota Attainment % | 60-70% of reps | \u003C 50% (calibration problem) |\n\n**Magic Number:** Net New ARR × 4 ÷ Prior Quarter S&M Spend  \n**CAC Payback:** S&M Spend ÷ New Logo ARR × (1 \u002F Gross Margin %)\n\n### Revenue Waterfall\n\n```\nOpening ARR\n  + New Logo ARR\n  + Expansion ARR (upsell, cross-sell, seat adds)\n  - Contraction ARR (downgrades)\n  - Churned ARR\n= Closing ARR\n\nNRR = (Opening + Expansion - Contraction - Churn) \u002F Opening\n```\n\n### NRR Benchmarks\n\n| NRR | Signal |\n|-----|--------|\n| > 120% | World-class. Grow even with zero new logos. |\n| 100-120% | Healthy. Existing base is growing. |\n| 90-100% | Concerning. Churn eating growth. |\n| \u003C 90% | Crisis. Fix before scaling sales. |\n\n## Red Flags\n\n- NRR declining two quarters in a row — customer value story is broken\n- Pipeline coverage below 3x entering the quarter — already forecasting a miss\n- Win rate dropping while sales cycle extends — competitive pressure or ICP drift\n- \u003C 50% of sales team quota-attaining — comp plan, ramp, or quota calibration issue\n- Average deal size declining — moving downmarket under pressure (dangerous)\n- Magic Number below 0.5 — sales spend not converting to revenue\n- Forecast accuracy below 80% — reps sandbagging or pipeline quality is poor\n- Single customer > 15% of ARR — concentration risk, board will flag this\n- \"Too expensive\" appearing in > 40% of loss notes — value demonstration broken, not pricing\n- Expansion ARR \u003C 20% of total ARR — upsell motion isn't working\n\n## Integration with Other C-Suite Roles\n\n| When... | CRO works with... | To... |\n|---------|------------------|-------|\n| Pricing changes | CPO + CFO | Align value positioning, model margin impact |\n| Product roadmap | CPO | Ensure features support ICP and close pipeline |\n| Headcount plan | CFO + CHRO | Justify sales hiring with capacity model and ROI |\n| NRR declining | CPO + COO | Root cause: product gaps or CS process failures |\n| Enterprise expansion | CEO | Executive sponsorship, board-level relationships |\n| Revenue targets | CFO | Bottoms-up model to validate top-down board targets |\n| Pipeline SLA | CMO | MQL → SQL conversion, CAC by channel, attribution |\n| Security reviews | CISO | Unblock enterprise deals with security artifacts |\n| Sales ops scaling | COO | RevOps staffing, commission infrastructure, tooling |\n\n## Resources\n\n- **Sales process, MEDDPICC, comp plans, hiring:** `references\u002Fsales_playbook.md`\n- **Pricing models, value-based pricing, packaging:** `references\u002Fpricing_strategy.md`\n- **NRR deep dive, churn anatomy, health scoring, expansion:** `references\u002Fnrr_playbook.md`\n- **Revenue forecast model (CLI):** `scripts\u002Frevenue_forecast_model.py`\n- **Churn & retention analyzer (CLI):** `scripts\u002Fchurn_analyzer.py`\n\n\n## Proactive Triggers\n\nSurface these without being asked when you detect them in company context:\n- NRR \u003C 100% → leaky bucket, retention must be fixed before pouring more in\n- Pipeline coverage \u003C 3x → forecast at risk, flag to CEO immediately\n- Win rate declining → sales process or product-market alignment issue\n- Top customer concentration > 20% ARR → single-point-of-failure revenue risk\n- No pricing review in 12+ months → leaving money on the table or losing deals\n\n## Output Artifacts\n\n| Request | You Produce |\n|---------|-------------|\n| \"Forecast next quarter\" | Pipeline-based forecast with confidence intervals |\n| \"Analyze our churn\" | Cohort churn analysis with at-risk accounts and intervention plan |\n| \"Review our pricing\" | Pricing analysis with competitive benchmarks and recommendations |\n| \"Scale the sales team\" | Capacity model with quota, ramp, territories, comp plan |\n| \"Revenue board section\" | ARR waterfall, NRR, pipeline, forecast, risks |\n\n## Reasoning Technique: Chain of Thought\n\nPipeline math must be explicit: leads → MQLs → SQLs → opportunities → closed. Show conversion rates at each stage. Question any assumption above historical averages.\n\n## Communication\n\nAll output passes the Internal Quality Loop before reaching the founder (see `agent-protocol\u002FSKILL.md`).\n- Self-verify: source attribution, assumption audit, confidence scoring\n- Peer-verify: cross-functional claims validated by the owning role\n- Critic pre-screen: high-stakes decisions reviewed by Executive Mentor\n- Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision\n- Results only. Every finding tagged: ? verified, ? medium, ? assumed.\n\n## Context Integration\n\n- **Always** read `company-context.md` before responding (if it exists)\n- **During board meetings:** Use only your own analysis in Phase 2 (no cross-pollination)\n- **Invocation:** You can request input from other roles: `[INVOKE:role|question]`\n\n## ? Связи\n\n- [[MOC - Skills]] — Skills library\n- [[skills\u002Fskills-claude]] — Category: skills-claude\n- [[MOC - Agents]] — Claude agents\n\n",{"name":5,"tags":44,"license":15,"metadata":48,"description":7},[45,46,47],"domain\u002Fagents","artifact\u002Fskill","source\u002Fskills-claude",{"author":49,"domain":50,"updated":51,"version":52,"category":53,"frameworks":54,"python-tools":55},"Alireza Rezvani","cro-leadership",1772668800000,"1.0.0","c-level","sales-playbook, pricing-strategy, nrr-playbook","revenue_forecast_model.py, churn_analyzer.py","main","bdd9f958d7bb1a0f19b8ad8da020b0bab0f53eb1","vc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Fc-level-advisor\u002Fcro-advisor",1,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis","2026-06-24 16:31:18",{"source":8,"skillName":5,"commands":64,"prompt":74,"zipAvailable":75},[65,68,71],{"tool":66,"command":67},"npx","npx skills add ibragimov-oasis\u002Fvibe-coder --skill cro-advisor",{"tool":69,"command":70},"bunx","bunx skills add ibragimov-oasis\u002Fvibe-coder --skill cro-advisor",{"tool":72,"command":73},"pnpm","pnpm dlx skills add ibragimov-oasis\u002Fvibe-coder --skill cro-advisor","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Fc-level-advisor\u002Fcro-advisor\u002FSKILL.md",true,[77,83,87,91,97],{"path":78,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":81,"sourceHtmlUrl":82},"references\u002Fnrr_playbook.md","REFERENCE","参考文档",15694,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Fc-level-advisor\u002Fcro-advisor\u002Freferences\u002Fnrr_playbook.md",{"path":84,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":85,"sourceHtmlUrl":86},"references\u002Fpricing_strategy.md",15424,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Fc-level-advisor\u002Fcro-advisor\u002Freferences\u002Fpricing_strategy.md",{"path":88,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002Fsales_playbook.md",17035,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Fc-level-advisor\u002Fcro-advisor\u002Freferences\u002Fsales_playbook.md",{"path":92,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":95,"sourceHtmlUrl":96},"scripts\u002Fchurn_analyzer.py","SCRIPT","脚本",29896,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Fc-level-advisor\u002Fcro-advisor\u002Fscripts\u002Fchurn_analyzer.py",{"path":98,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":99,"sourceHtmlUrl":100},"scripts\u002Frevenue_forecast_model.py",22484,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Fc-level-advisor\u002Fcro-advisor\u002Fscripts\u002Frevenue_forecast_model.py",[102,138,164,184,210,241],{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":118,"publishedAt":39},"01M6Q4Q22KKKVMJJYA411DQ4ER","ckm:ui-styling","Create beautiful, accessible user interfaces with shadcn\u002Fui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. 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Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fui-design\u002Fui-rules\u002Fui-ux-pro-max\u002Fclaude\u002Fskills\u002Fdesign\u002FSKILL.md",[144,147,148,151],{"categoryNo":145,"categoryName":146,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},{"categoryNo":149,"categoryName":150,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":114,"categoryName":115,"taxonomyType":116,"taxonomyTypeDesc":117},[32,140,123,153,127,119,154,128,155,156,157,158,159,160,161,162,22,163,136,137],"google","presentations","generate","screenshot","actions","Media","logo","ads","youtube","tiktok","chart",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":168,"categories":169,"keywords":172,"publishedAt":39},"01M6Q4PJE27GEA3M0CECEBCZKS","ckm:design-system","Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing\u002Ftypography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fui-design\u002Fui-rules\u002Fui-ux-pro-max\u002Fclaude\u002Fskills\u002Fdesign-system\u002FSKILL.md",[170,171],{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},{"categoryNo":114,"categoryName":115,"taxonomyType":116,"taxonomyTypeDesc":117},[32,173,174,175,140,123,124,127,176,154,22,177,178,179,180,181,182,183,136,137],"design system","system","ckm:design system","architecture","token","creation","systematic","css variables","Variables","spacing","layer",{"skillNo":185,"name":186,"nameZh":6,"description":187,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":188,"categories":189,"keywords":195,"publishedAt":39},"01M6Q4P90JXFYMH2S634QM6SQJ","ckm:banner-design","Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter\u002FX, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fui-design\u002Fui-rules\u002Fui-ux-pro-max\u002Fclaude\u002Fskills\u002Fbanner-design\u002FSKILL.md",[190,193,194],{"categoryNo":191,"categoryName":192,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},{"categoryNo":114,"categoryName":115,"taxonomyType":116,"taxonomyTypeDesc":117},[32,196,197,198,123,199,157,158,200,201,202,203,204,205,206,207,136,137,208,209],"banner design","ckm:banner design","banner","frontend","3D","generated","Art","social","dimensions","neon","direction","display","frontend-design","hero",{"skillNo":211,"name":212,"nameZh":6,"description":213,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":214,"categories":215,"keywords":222,"publishedAt":39},"01M6Q2RZXBJ9TBE413GXCYQNDB","seo","Comprehensive SEO analysis for any website or business type. Performs full site audits, single-page deep analysis, technical SEO checks (crawlability, indexability, Core Web Vitals with INP), schema markup detection\u002Fvalidation\u002Fgeneration, content quality assessment (E-E-A-T framework per Dec 2025 update extending to all competitive queries), image optimization, sitemap analysis, and Generative Engine Optimization (GEO) for AI Overviews, ChatGPT, and Perplexity citations. Analyzes AI crawler accessibility (GPTBot, ClaudeBot, PerplexityBot), llms.txt compliance, brand mention signals, and passage-level citability. Industry detection for SaaS, e-commerce, local business, publishers, agencies. Triggers on: \"SEO\", \"audit\", \"schema\", \"Core Web Vitals\", \"sitemap\", \"E-E-A-T\", \"AI Overviews\", \"GEO\", \"technical SEO\", \"content quality\", \"page speed\", \"structured data\".","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fskills\u002Fskills-seo\u002Fseo\u002Fclaude-seo\u002Fskills\u002Fseo\u002FSKILL.md",[216,219],{"categoryNo":217,"categoryName":218,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":220,"categoryName":221,"taxonomyType":116,"taxonomyTypeDesc":117},"01JBSEEDCAT000000000000035","市场营销",[212,223,224,225,226,227,228,22,229,230,231,232,233,234,235,236,237,238,239,240],"image","llms","assessment","deep analysis","Citations","analysis","local","deep","crawlability","seo analysis","2025","commerce","URL","domain\u002Fseo","source\u002Fskills-seo","vitals","generative","publishers",{"skillNo":242,"name":243,"nameZh":6,"description":244,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":245,"categories":246,"keywords":249,"publishedAt":39},"01M6Q2RVE7VGFCFQKBK468NHVY","seo-technical","Technical SEO audit across 9 categories: crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, JavaScript rendering, and IndexNow protocol. Use when user says \"technical SEO\", \"crawl issues\", \"robots.txt\", \"Core Web Vitals\", \"site speed\", or \"security headers\".","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fvibe-coder\u002Fblob\u002Fmain\u002Fvc-kit\u002Fcontent\u002FCOMBINED\u002FCOMBINED\u002Fskills\u002Fskills-seo\u002Fseo\u002Fclaude-seo\u002Fskills\u002Fseo-technical\u002FSKILL.md",[247,248],{"categoryNo":217,"categoryName":218,"taxonomyType":111,"taxonomyTypeDesc":112},{"categoryNo":220,"categoryName":221,"taxonomyType":116,"taxonomyTypeDesc":117},[212,250,251,252,253,254,255,256,257,22,131,231,258,259,235,260,261,236,237,238],"technical","seo technical","issues","audit","data","mobile","crawl","structure","rendering","technical seo audit","headers","categories"]