[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6GRE5M912RRT92EMYARTP0M":3,"skill-same:01M6GRE5M912RRT92EMYARTP0M":102},{"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":51,"commitSha":52,"skillDirectory":53,"forksCount":14,"repositoryHtmlUrl":54,"repositoryHomepageUrl":55,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":57,"install":58,"resources":71},"01M6GRE5M912RRT92EMYARTP0M","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.","ibragimov-oasis\u002Fname-navigator","ibragimov-oasis","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F240665573?v=4","01M6DF78Y45R8228FHAZ7G6JXM","IBRAGIMOV MUKHAMMADJON","01M6DF792RGGYNSN2BMSED45SJ",0,"MIT","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Ffinance\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","saas metrics coach","coach","source\u002Fskills-claude","customer","domain\u002Fagents","churn","revenue","artifact","domain","advisor","use","nrr","arr","business","financial health","how","health","2026-11-10 10:12:30",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\ntags:\n  - domain\u002Fagents\n  - artifact\u002Fskill\n  - source\u002Fskills-claude\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\n## ? Связи\n\n- [[MOC - Skills]] — Skills library\n- [[skills\u002Fskills-claude]] — Category: skills-claude\n- [[MOC - Agents]] — Claude agents\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\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":46,"description":7},[26,45,24],"artifact\u002Fskill",{"author":47,"updated":48,"version":49,"category":50},"Abbas Mir",1772928000000,"1.0.0","finance","main","3a0e8170d69effdc8a555eee4b80b943f47fe6b2",".claude\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Ffinance\u002Fsaas-metrics-coach","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator","https:\u002F\u002Fname-navigator.vercel.app","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis","2026-11-03 18:37:11",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add ibragimov-oasis\u002Fname-navigator --skill saas-metrics-coach",{"tool":64,"command":65},"bunx","bunx skills add ibragimov-oasis\u002Fname-navigator --skill saas-metrics-coach",{"tool":67,"command":68},"pnpm","pnpm dlx skills add ibragimov-oasis\u002Fname-navigator --skill saas-metrics-coach","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Ffinance\u002Fsaas-metrics-coach\u002FSKILL.md",true,[72,78,84,88,94,98],{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"assets\u002Finput-template.md","ASSET","资产文件",908,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Ffinance\u002Fsaas-metrics-coach\u002Fassets\u002Finput-template.md",{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"references\u002Fbenchmarks.md","REFERENCE","参考文档",2720,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Ffinance\u002Fsaas-metrics-coach\u002Freferences\u002Fbenchmarks.md",{"path":85,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":86,"sourceHtmlUrl":87},"references\u002Fformulas.md",2683,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Ffinance\u002Fsaas-metrics-coach\u002Freferences\u002Fformulas.md",{"path":89,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":92,"sourceHtmlUrl":93},"scripts\u002Fmetrics_calculator.py","SCRIPT","脚本",9733,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Ffinance\u002Fsaas-metrics-coach\u002Fscripts\u002Fmetrics_calculator.py",{"path":95,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":96,"sourceHtmlUrl":97},"scripts\u002Fquick_ratio_calculator.py",6142,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Ffinance\u002Fsaas-metrics-coach\u002Fscripts\u002Fquick_ratio_calculator.py",{"path":99,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":100,"sourceHtmlUrl":101},"scripts\u002Funit_economics_simulator.py",7105,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-claude\u002Fclaude-skills\u002Ffinance\u002Fsaas-metrics-coach\u002Fscripts\u002Funit_economics_simulator.py",[103,137,165,191,213,234],{"skillNo":104,"name":105,"nameZh":6,"description":106,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":107,"categories":108,"keywords":117,"publishedAt":39},"01M6H16XFT30RK9RWGFB4M9KGG","transloadit-media-processing","Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS\u002FMP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Ftransloadit-media-processing\u002FSKILL.md",[109,114],{"categoryNo":110,"categoryName":111,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",{"categoryNo":115,"categoryName":116,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000023","Skill与智能体开发",[118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,29,136],"transloadit media processing","Media","media processing","processing","MCP","cli","mcp server","copilot","documents","generate","server","pipeline","ocr","Video","Audio","images","files","thumbnails","free",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":146,"publishedAt":39},"01M6H16MZ628556VXNEG9PRDK2","terraform-azurerm-set-diff-analyzer","Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fterraform-azurerm-set-diff-analyzer\u002FSKILL.md",[143],{"categoryNo":144,"categoryName":145,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000011","运维与部署",[147,148,149,150,151,152,125,153,154,155,156,157,158,29,159,160,161,162,163,164],"terraform","SET","terraform azurerm set diff analyzer","diff","analyzer","diffs","JSON Output","firewall","false-positive","plan","analyze","only","false","resources","load balancer","attributes","source\u002Fskills-copilot","source",{"skillNo":166,"name":167,"nameZh":6,"description":168,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":169,"categories":170,"keywords":177,"publishedAt":39},"01M6H12YWM6E909XH6JN4428RN","refactor","Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Frefactor\u002FSKILL.md",[171,174],{"categoryNo":172,"categoryName":173,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":175,"categoryName":176,"taxonomyType":112,"taxonomyTypeDesc":113},"01JBSEEDCAT000000000000015","视觉设计",[167,178,125,179,180,181,182,183,184,32,185,186,187,30,29,188,189,190,163,164],"design","code","Type Safety","Safety","improve","refactoring","repo","design patterns","code refactoring","patterns","extracting","Variables","for",{"skillNo":192,"name":193,"nameZh":6,"description":194,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":195,"categories":196,"keywords":202,"publishedAt":39},"01M6H11GN772CMEJ2R70TXG7SS","prd","Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fprd\u002FSKILL.md",[197],{"categoryNo":198,"categoryName":199,"taxonomyType":200,"taxonomyTypeDesc":201},"01JBSEEDCAT000000000000031","产品经理","PROFESSION","适用职业",[193,125,126,127,203,204,205,206,30,29,207,208,209,210,211,26,190,163,164,212],"product","risk","analysis","technical","requirements","software","Product Requirements","user stories","high","summaries",{"skillNo":214,"name":215,"nameZh":6,"description":216,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":217,"categories":218,"keywords":219,"publishedAt":39},"01M6H0ZF4BS1GC60K8WCCVCH6G","plantuml-ascii","Generate ASCII art diagrams using PlantUML text mode. Use when user asks to create ASCII diagrams, text-based diagrams, terminal-friendly diagrams, or mentions plantuml ascii, text diagram, ascii art diagram. Supports: Converting PlantUML diagrams to ASCII art, Creating sequence diagrams, class diagrams, flowcharts in ASCII format, Generating Unicode-enhanced ASCII art with -utxt flag","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fplantuml-ascii\u002FSKILL.md",[],[220,221,222,223,125,224,225,127,226,227,228,229,230,231,30,29,232,233,163,164],"plantuml","plantuml ascii","ascii","terminal","diagram","create","Bash","text","read","write","diagrams","Art","Unicode","mode",{"skillNo":235,"name":236,"nameZh":6,"description":237,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":238,"categories":239,"keywords":245,"publishedAt":39},"01M6H0X7BMJD69GTGE6DDZCYF8","msstore-cli","Microsoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI\u002FCD for Store publishing, or integrate with Partner Center. Supports Windows App SDK\u002FWinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fmsstore-cli\u002FSKILL.md",[240,241,242],{"categoryNo":144,"categoryName":145,"taxonomyType":112,"taxonomyTypeDesc":113},{"categoryNo":115,"categoryName":116,"taxonomyType":112,"taxonomyTypeDesc":113},{"categoryNo":243,"categoryName":244,"taxonomyType":200,"taxonomyTypeDesc":201},"01JBSEEDCAT000000000000030","开发工程师",[123,246,247,248,125,249,250,251,148,252,253,254,255,256,257,29,258,259,260,261],"msstore cli","react","status","uwp","ci","publish","credentials","configure","pwa","react native","integrate","up","app","apps","native","CI\u002FCD"]