[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71TMZSFD251WR12WTRSZWSS":3,"skill-same:01M71TMZSFD251WR12WTRSZWSS":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":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":55,"updatedAt":56,"install":57,"resources":70},"01M71TMZSFD251WR12WTRSZWSS","saas-metrics-coach",null,"SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.","vitalikpestov\u002FSkills-Catalog","vitalikpestov","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F13882997?v=4","01M71N4QG0CWRXX4R24JQZXDDQ","Vitalik Pestov","01M71N4QGMSYRW607DDSE0CQMM",2,"MIT","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Mobile-Dev\u002Ffrom-vault-audit\u002Fproduct-monetization\u002Fsaas-metrics-coach\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"metrics","saas","saas metrics coach","saas metrics","coach","ltv","customer","mrr","2026","when","churn","revenue","advisor","use","nrr","arr","business","financial health","how","health","2026-11-10 13:02:02",false,"---\nname: saas-metrics-coach\ndescription: SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Abbas Mir\n  category: finance\n  updated: 2026-03-08\n---\n\n# SaaS Metrics Coach\n\nAct as a senior SaaS CFO advisor. Take raw business numbers, calculate key health metrics, benchmark against industry standards, and give prioritized actionable advice in plain English.\n\n## Step 1 — Collect Inputs\n\nIf not already provided, ask for these in a single grouped request:\n\n- Revenue: current MRR, MRR last month, expansion MRR, churned MRR\n- Customers: total active, new this month, churned this month\n- Costs: sales and marketing spend, gross margin %\n\nWork with partial data. Be explicit about what is missing and what assumptions are being made.\n\n## Step 2 — Calculate Metrics\n\nRun `scripts\u002Fmetrics_calculator.py` with the user's inputs. If the script is unavailable, use the formulas in `references\u002Fformulas.md`.\n\nAlways attempt to compute: ARR, MRR growth %, monthly churn rate, CAC, LTV, LTV:CAC ratio, CAC payback period, NRR.\n\n**Additional Analysis Tools:**\n- Use `scripts\u002Fquick_ratio_calculator.py` when expansion\u002Fchurn MRR data is available\n- Use `scripts\u002Funit_economics_simulator.py` for forward-looking projections\n\n## Step 3 — Benchmark Each Metric\n\nLoad `references\u002Fbenchmarks.md`. For each metric show:\n- The calculated value\n- The relevant benchmark range for the user's segment and stage\n- A plain status label: HEALTHY \u002F WATCH \u002F CRITICAL\n\nMatch the benchmark tier to the user's market segment (Enterprise \u002F Mid-Market \u002F SMB \u002F PLG) and company stage (Early \u002F Growth \u002F Scale). Ask if unclear.\n\n## Step 4 — Prioritize and Recommend\n\nIdentify the top 2-3 metrics at WATCH or CRITICAL status. For each one state:\n- What is happening (one sentence, plain English)\n- Why it matters to the business\n- Two or three specific actions to take this month\n\nOrder by impact — address the most damaging problem first.\n\n## Step 5 — Output Format\n\nAlways use this exact structure:\n\n```\n# SaaS Health Report — [Month Year]\n\n## Metrics at a Glance\n| Metric | Your Value | Benchmark | Status |\n|--------|------------|-----------|--------|\n\n## Overall Picture\n[2-3 sentences, plain English summary]\n\n## Priority Issues\n\n### 1. [Metric Name]\nWhat is happening: ...\nWhy it matters: ...\nFix it this month: ...\n\n### 2. [Metric Name]\n...\n\n## What is Working\n[1-2 genuine strengths, no padding]\n\n## 90-Day Focus\n[Single metric to move + specific numeric target]\n```\n\n## Examples\n\n**Example 1 — Partial data**\n\nInput: \"MRR is $80k, we have 200 customers, about 3 cancel each month.\"\n\nExpected output: Calculates ARPA ($400), monthly churn (1.5%), ARR ($960k), LTV estimate. Flags CAC and growth rate as missing. Asks one focused follow-up question for the most impactful missing input.\n\n**Example 2 — Critical scenario**\n\nInput: \"MRR $22k (was $23.5k), 80 customers, lost 9, gained 6, spent $15k on ads, 65% gross margin.\"\n\nExpected output: Flags negative MoM growth (-6.4%), critical churn (11.25%), and LTV:CAC of 0.64:1 as CRITICAL. Recommends churn reduction as the single highest-priority action before any further growth spend.\n\n## Key Principles\n\n- Be direct. If a metric is bad, say it is bad.\n- Explain every metric in one sentence before showing the number.\n- Cap priority issues at three. More than three paralyzes action.\n- Context changes benchmarks. Five percent churn is catastrophic for Enterprise SaaS but normal for SMB\u002FPLG. Always confirm the user's target market before scoring.\n\n## Reference Files\n\n- `references\u002Fformulas.md` — All metric formulas with worked examples\n- `references\u002Fbenchmarks.md` — Industry benchmark ranges by stage and segment\n- `assets\u002Finput-template.md` — Blank input form to share with users\n- `scripts\u002Fmetrics_calculator.py` — Core metrics calculator (ARR, MRR, churn, CAC, LTV, NRR)\n- `scripts\u002Fquick_ratio_calculator.py` — Growth efficiency metric (Quick Ratio)\n- `scripts\u002Funit_economics_simulator.py` — 12-month forward projection\n\n## Tools\n\n### 1. Metrics Calculator (`scripts\u002Fmetrics_calculator.py`)\nCore SaaS metrics from raw business numbers.\n\n```bash\n# Interactive mode\npython scripts\u002Fmetrics_calculator.py\n\n# CLI mode\npython scripts\u002Fmetrics_calculator.py --mrr 50000 --customers 100 --churned 5 --json\n```\n\n### 2. Quick Ratio Calculator (`scripts\u002Fquick_ratio_calculator.py`)\nGrowth efficiency metric: (New MRR + Expansion) \u002F (Churned + Contraction)\n\n```bash\npython scripts\u002Fquick_ratio_calculator.py --new-mrr 10000 --expansion 2000 --churned 3000 --contraction 500\npython scripts\u002Fquick_ratio_calculator.py --new-mrr 10000 --expansion 2000 --churned 3000 --json\n```\n\n**Benchmarks:**\n- \u003C 1.0 = CRITICAL (losing faster than gaining)\n- 1-2 = WATCH (marginal growth)\n- 2-4 = HEALTHY (good efficiency)\n- \\> 4 = EXCELLENT (strong growth)\n\n### 3. Unit Economics Simulator (`scripts\u002Funit_economics_simulator.py`)\nProject metrics forward 12 months based on growth\u002Fchurn assumptions.\n\n```bash\npython scripts\u002Funit_economics_simulator.py --mrr 50000 --growth 10 --churn 3 --cac 2000\npython scripts\u002Funit_economics_simulator.py --mrr 50000 --growth 10 --churn 3 --cac 2000 --json\n```\n\n**Use for:**\n- \"What if we grow at X% per month?\"\n- Runway projections\n- Scenario planning (best\u002Fbase\u002Fworst case)\n\n## Related Skills\n\n- **financial-analyst**: Use for DCF valuation, budget variance analysis, and traditional financial modeling. NOT for SaaS-specific metrics like CAC, LTV, or churn.\n- **business-growth\u002Fcustomer-success**: Use for retention strategies and customer health scoring. Complements this skill when churn is flagged as CRITICAL.\n","# SaaS Metrics Coach\n\nAct as a senior SaaS CFO advisor. Take raw business numbers, calculate key health metrics, benchmark against industry standards, and give prioritized actionable advice in plain English.\n\n## Step 1 — Collect Inputs\n\nIf not already provided, ask for these in a single grouped request:\n\n- Revenue: current MRR, MRR last month, expansion MRR, churned MRR\n- Customers: total active, new this month, churned this month\n- Costs: sales and marketing spend, gross margin %\n\nWork with partial data. Be explicit about what is missing and what assumptions are being made.\n\n## Step 2 — Calculate Metrics\n\nRun `scripts\u002Fmetrics_calculator.py` with the user's inputs. If the script is unavailable, use the formulas in `references\u002Fformulas.md`.\n\nAlways attempt to compute: ARR, MRR growth %, monthly churn rate, CAC, LTV, LTV:CAC ratio, CAC payback period, NRR.\n\n**Additional Analysis Tools:**\n- Use `scripts\u002Fquick_ratio_calculator.py` when expansion\u002Fchurn MRR data is available\n- Use `scripts\u002Funit_economics_simulator.py` for forward-looking projections\n\n## Step 3 — Benchmark Each Metric\n\nLoad `references\u002Fbenchmarks.md`. For each metric show:\n- The calculated value\n- The relevant benchmark range for the user's segment and stage\n- A plain status label: HEALTHY \u002F WATCH \u002F CRITICAL\n\nMatch the benchmark tier to the user's market segment (Enterprise \u002F Mid-Market \u002F SMB \u002F PLG) and company stage (Early \u002F Growth \u002F Scale). Ask if unclear.\n\n## Step 4 — Prioritize and Recommend\n\nIdentify the top 2-3 metrics at WATCH or CRITICAL status. For each one state:\n- What is happening (one sentence, plain English)\n- Why it matters to the business\n- Two or three specific actions to take this month\n\nOrder by impact — address the most damaging problem first.\n\n## Step 5 — Output Format\n\nAlways use this exact structure:\n\n```\n# SaaS Health Report — [Month Year]\n\n## Metrics at a Glance\n| Metric | Your Value | Benchmark | Status |\n|--------|------------|-----------|--------|\n\n## Overall Picture\n[2-3 sentences, plain English summary]\n\n## Priority Issues\n\n### 1. [Metric Name]\nWhat is happening: ...\nWhy it matters: ...\nFix it this month: ...\n\n### 2. [Metric Name]\n...\n\n## What is Working\n[1-2 genuine strengths, no padding]\n\n## 90-Day Focus\n[Single metric to move + specific numeric target]\n```\n\n## Examples\n\n**Example 1 — Partial data**\n\nInput: \"MRR is $80k, we have 200 customers, about 3 cancel each month.\"\n\nExpected output: Calculates ARPA ($400), monthly churn (1.5%), ARR ($960k), LTV estimate. Flags CAC and growth rate as missing. Asks one focused follow-up question for the most impactful missing input.\n\n**Example 2 — Critical scenario**\n\nInput: \"MRR $22k (was $23.5k), 80 customers, lost 9, gained 6, spent $15k on ads, 65% gross margin.\"\n\nExpected output: Flags negative MoM growth (-6.4%), critical churn (11.25%), and LTV:CAC of 0.64:1 as CRITICAL. Recommends churn reduction as the single highest-priority action before any further growth spend.\n\n## Key Principles\n\n- Be direct. If a metric is bad, say it is bad.\n- Explain every metric in one sentence before showing the number.\n- Cap priority issues at three. More than three paralyzes action.\n- Context changes benchmarks. Five percent churn is catastrophic for Enterprise SaaS but normal for SMB\u002FPLG. Always confirm the user's target market before scoring.\n\n## Reference Files\n\n- `references\u002Fformulas.md` — All metric formulas with worked examples\n- `references\u002Fbenchmarks.md` — Industry benchmark ranges by stage and segment\n- `assets\u002Finput-template.md` — Blank input form to share with users\n- `scripts\u002Fmetrics_calculator.py` — Core metrics calculator (ARR, MRR, churn, CAC, LTV, NRR)\n- `scripts\u002Fquick_ratio_calculator.py` — Growth efficiency metric (Quick Ratio)\n- `scripts\u002Funit_economics_simulator.py` — 12-month forward projection\n\n## Tools\n\n### 1. Metrics Calculator (`scripts\u002Fmetrics_calculator.py`)\nCore SaaS metrics from raw business numbers.\n\n```bash\n# Interactive mode\npython scripts\u002Fmetrics_calculator.py\n\n# CLI mode\npython scripts\u002Fmetrics_calculator.py --mrr 50000 --customers 100 --churned 5 --json\n```\n\n### 2. Quick Ratio Calculator (`scripts\u002Fquick_ratio_calculator.py`)\nGrowth efficiency metric: (New MRR + Expansion) \u002F (Churned + Contraction)\n\n```bash\npython scripts\u002Fquick_ratio_calculator.py --new-mrr 10000 --expansion 2000 --churned 3000 --contraction 500\npython scripts\u002Fquick_ratio_calculator.py --new-mrr 10000 --expansion 2000 --churned 3000 --json\n```\n\n**Benchmarks:**\n- \u003C 1.0 = CRITICAL (losing faster than gaining)\n- 1-2 = WATCH (marginal growth)\n- 2-4 = HEALTHY (good efficiency)\n- \\> 4 = EXCELLENT (strong growth)\n\n### 3. Unit Economics Simulator (`scripts\u002Funit_economics_simulator.py`)\nProject metrics forward 12 months based on growth\u002Fchurn assumptions.\n\n```bash\npython scripts\u002Funit_economics_simulator.py --mrr 50000 --growth 10 --churn 3 --cac 2000\npython scripts\u002Funit_economics_simulator.py --mrr 50000 --growth 10 --churn 3 --cac 2000 --json\n```\n\n**Use for:**\n- \"What if we grow at X% per month?\"\n- Runway projections\n- Scenario planning (best\u002Fbase\u002Fworst case)\n\n## Related Skills\n\n- **financial-analyst**: Use for DCF valuation, budget variance analysis, and traditional financial modeling. NOT for SaaS-specific metrics like CAC, LTV, or churn.\n- **business-growth\u002Fcustomer-success**: Use for retention strategies and customer health scoring. Complements this skill when churn is flagged as CRITICAL.\n",{"name":5,"license":15,"metadata":44,"description":7},{"author":45,"updated":46,"version":47,"category":48},"Abbas Mir",1772928000000,"1.0.0","finance","main","fbfb242f793fdf040f3a1a6b100896c188c228c8","_Mobile-Dev\u002Ffrom-vault-audit\u002Fproduct-monetization\u002Fsaas-metrics-coach",1,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog","https:\u002F\u002Fgithub.com\u002Fvitalikpestov","Listing on crypto exchanges","2026-06-15 22:12:56",{"source":8,"skillName":5,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add vitalikpestov\u002FSkills-Catalog --skill saas-metrics-coach",{"tool":63,"command":64},"bunx","bunx skills add vitalikpestov\u002FSkills-Catalog --skill saas-metrics-coach",{"tool":66,"command":67},"pnpm","pnpm dlx skills add vitalikpestov\u002FSkills-Catalog --skill saas-metrics-coach","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Mobile-Dev\u002Ffrom-vault-audit\u002Fproduct-monetization\u002Fsaas-metrics-coach\u002FSKILL.md",true,[71,77,83,87,93,97],{"path":72,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":75,"sourceHtmlUrl":76},"assets\u002Finput-template.md","ASSET","资产文件",718,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Mobile-Dev\u002Ffrom-vault-audit\u002Fproduct-monetization\u002Fsaas-metrics-coach\u002Fassets\u002Finput-template.md",{"path":78,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":81,"sourceHtmlUrl":82},"references\u002Fbenchmarks.md","REFERENCE","参考文档",2530,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Mobile-Dev\u002Ffrom-vault-audit\u002Fproduct-monetization\u002Fsaas-metrics-coach\u002Freferences\u002Fbenchmarks.md",{"path":84,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":85,"sourceHtmlUrl":86},"references\u002Fformulas.md",2493,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Mobile-Dev\u002Ffrom-vault-audit\u002Fproduct-monetization\u002Fsaas-metrics-coach\u002Freferences\u002Fformulas.md",{"path":88,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":91,"sourceHtmlUrl":92},"scripts\u002Fmetrics_calculator.py","SCRIPT","脚本",9733,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Mobile-Dev\u002Ffrom-vault-audit\u002Fproduct-monetization\u002Fsaas-metrics-coach\u002Fscripts\u002Fmetrics_calculator.py",{"path":94,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":95,"sourceHtmlUrl":96},"scripts\u002Fquick_ratio_calculator.py",6142,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Mobile-Dev\u002Ffrom-vault-audit\u002Fproduct-monetization\u002Fsaas-metrics-coach\u002Fscripts\u002Fquick_ratio_calculator.py",{"path":98,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":99,"sourceHtmlUrl":100},"scripts\u002Funit_economics_simulator.py",7105,"https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Mobile-Dev\u002Ffrom-vault-audit\u002Fproduct-monetization\u002Fsaas-metrics-coach\u002Fscripts\u002Funit_economics_simulator.py",[102,145,170,187,208,241],{"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":124,"publishedAt":39},"01M71V1MC994P553631JZSWVYD","solana-dev","Use when user asks to \"build a Solana dapp\", \"write an Anchor program\", \"create a token\", \"debug Solana errors\", \"set up wallet connection\", \"test my Solana program\", \"deploy to devnet\", or \"explain Solana concepts\" (rent, accounts, PDAs, CPIs, etc.). End-to-end Solana development playbook covering wallet connection, Anchor\u002FPinocchio programs, Codama client generation, LiteSVM\u002FMollusk\u002FSurfpool testing, and security checklists. Integrates with the Solana MCP server for live documentation search. Prefers framework-kit (@solana\u002Fclient + @solana\u002Freact-hooks) for UI, wallet-standard-first connection (incl. ConnectorKit), @solana\u002Fkit for client\u002FRPC code, and @solana\u002Fweb3-compat for legacy boundaries.","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Web3\u002Fsolana-dev\u002Fskill\u002FSKILL.md",[108,113,116,119],{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":114,"categoryName":115,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":117,"categoryName":118,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":120,"categoryName":121,"taxonomyType":122,"taxonomyTypeDesc":123},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144],"dev","solana dev","solana","Wallet","search","testing","solana cli","kit","MCP","web3","react","create","server","write","playbook","live","security","ui","concepts","toolchain",{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":151,"publishedAt":39},"01M71TYQPHE2YGKTT7DG9QCW3K","generating-trading-signals","Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.).\nCombines multiple indicators into composite signals with confidence scores.\nUse when analyzing assets for trading opportunities or checking technical indicators.\nTrigger with phrases like \"get trading signals\", \"check indicators\", \"analyze for entry\",\n\"scan for opportunities\", \"generate buy\u002Fsell signals\", or \"technical analysis\".","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Trading-Finance\u002Fgenerating-trading-signals\u002FSKILL.md",[],[152,153,154,155,156,157,158,159,160,161,162,163,32,28,164,165,166,167,168,169],"generating trading signals","signals","trading signals","trading","get","technical indicators","for","scan","rsi","trigger","python","technical","Bash","analysis","code","io","check","analyze",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":174,"categories":175,"keywords":176,"publishedAt":39},"01M71TY4CR3GKGQ3M12X9WN95Y","prediction-monitor","Prediction Monitor - Auto-activating skill for ML Deployment.\nTriggers on: prediction monitor, prediction monitor\nPart of the ML Deployment skill category.","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Trading-Finance\u002FAI Predictions\u002Fprediction-monitor\u002FSKILL.md",[],[177,178,179,158,180,181,138,182,183,184,185,186,164],"prediction","monitor","prediction monitor","deployment","read","edit","triggers","grep","auto","ml",{"skillNo":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":193,"publishedAt":39},"01M71TXD9MYXZC39HCPP909HTZ","strategy-advisor","High-level strategic thinking and business decision guidance for planning and direction-setting.\nUse when: making strategic decisions, evaluating business options, setting direction, analyzing\ntrade-offs, or when user mentions strategy, business planning, competitive analysis, or long-term planning.","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Product-Apps\u002Fstrategy-advisor\u002FSKILL.md",[],[194,195,31,196,197,198,199,200,201,158,202,203,204,32,35,205,28,206,165,207],"strategy advisor","strategy","competitive","setting","thinking","planning","direction","trade-offs","long","decision","strategic","apps","decisions","trade",{"skillNo":209,"name":210,"nameZh":6,"description":211,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":212,"sourceHtmlUrl":213,"categories":214,"keywords":221,"publishedAt":39},"01M71TWHBT2R1P1FNWTW67ZREP","app-paywall-pilot","Design, audit, debug, and implement App Store-compliant mobile paywalls, subscription flows, pricing screens, trials, offers, feature gates, and subscription lifecycle UX. Use when the user asks to audit my paywall, fix App Store 3.1.2 rejection, improve trial-to-paid, choose plans\u002Fprices\u002Ftrials, review RevenueCat\u002FAdapty\u002FApphud\u002FSuperwall setup, calculate LTV\u002FROAS, or build paywall implementation.","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Product-Apps\u002Ffrom-dosesync\u002Fapp-paywall-pilot\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Product-Apps\u002Ffrom-dosesync\u002Fapp-paywall-pilot\u002FSKILL.md",[215,218],{"categoryNo":216,"categoryName":217,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":219,"categoryName":220,"taxonomyType":122,"taxonomyTypeDesc":123},"01JBSEEDCAT000000000000032","设计师",[222,223,224,225,226,227,228,229,230,231,232,233,28,234,235,236,237,238,239,240],"app","paywall","app paywall pilot","paid","paywalls","prices","choose","flows","fix","improve","design","app store","review","audit","ux","subscription","mobile","my","calculate",{"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":245,"licenseFileUrl":246,"sourceHtmlUrl":247,"categories":248,"keywords":251,"publishedAt":39},"01M71TWET8GFKEB7ZHJPMQX29V","figma","Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Product-Apps\u002Ffigma\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fvitalikpestov\u002FSkills-Catalog\u002Fblob\u002Fmain\u002F_Product-Apps\u002Ffigma\u002FSKILL.md",[249,250],{"categoryNo":117,"categoryName":118,"taxonomyType":111,"taxonomyTypeDesc":112},{"categoryNo":219,"categoryName":220,"taxonomyType":122,"taxonomyTypeDesc":123},[243,252,253,254,255,161,232,133,32,28,256,257,166,258,137,259,260,261,262,263],"fetch","ids","mcp setup","translate","mcp server","Variables","task","Nodes","figma mcp","code implementation","node","assets"]