[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AF4PXVMEQW7WE5CYG2AYFS":3,"skill-same:01M6AF4PXVMEQW7WE5CYG2AYFS":313},{"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":40,"linkOnly":41,"markdownContent":42,"markdownBody":43,"frontMatter":44,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":48,"repositoryHtmlUrl":49,"repositoryHomepageUrl":50,"ownerHtmlUrl":51,"ownerBlogUrl":52,"ownerDescription":53,"updatedAt":54,"install":55,"resources":68},"01M6AF4PXVMEQW7WE5CYG2AYFS","safety-stock-review",null,"Size or audit safety stock with assumption checks - the z*sigma*sqrt(LT) formula plus an empirical stress test of what it actually delivers (cycle service vs fill rate) per variability class. Use when the user mentions safety stock, emniyet stoku, emniyet stoğu, reorder point, service level, stok seviyesi belirleme. Differentiator - refuses to hand back a number without validating the demand-distribution assumptions behind it.","davila7\u002Fclaude-code-templates","davila7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6216945?v=4","01M6ADEWWFPS191NFM0Y1EX1JH","Daniel Avila","01M6ADJHGM78PHQRD3XZTFDVKK",33332,"MIT","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Foperations\u002Fsafety-stock-review\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],"Safety","safety stock review","review","stock","cycle","when","point","audit safety","fill","hand","size","number","with","distribution","back","formula","use","stress test","sigma","audit","test","2026-11-10 10:12:30",false,"---\nname: safety-stock-review\ndescription: Size or audit safety stock with assumption checks - the z*sigma*sqrt(LT) formula plus an empirical stress test of what it actually delivers (cycle service vs fill rate) per variability class. Use when the user mentions safety stock, emniyet stoku, emniyet stoğu, reorder point, service level, stok seviyesi belirleme. Differentiator - refuses to hand back a number without validating the demand-distribution assumptions behind it.\n---\n\n# Safety Stock Review\n\nThe textbook formula assumes roughly normal demand. Real portfolios contain SKUs where that assumption fails badly - the skill's job is to compute the number AND say where it can be trusted.\n\n## Required data\n\nPer-SKU demand history (`sku`, `period`, `qty`, 12+ periods), lead time (with variability if available), and the service target. Clarify early **which service the target means**: cycle service (probability of no stockout per cycle) or fill rate (share of units served) - contracts usually mean fill rate, formulas usually compute cycle service.\n\n## Workflow\n\n1. **Classify first.** Compute CV and zero-period share per SKU. For CV >= 1.0 or intermittent demand, state up front that the normal-formula result will be optimistic.\n2. **Compute the formula result:** SS = z * sigma_d * sqrt(LT), ROP = mu_d * LT + SS (demand-period units consistent with LT). If lead time varies, use the extended form with the sigma_LT term - ignoring lead-time variance is the most common silent understatement.\n3. **Stress-test empirically.** Set stock at mu + SS and replay the actual history: report both achieved cycle service (share of periods fully covered) and achieved fill rate (units served \u002F units demanded). Zero-demand periods pass cycle service for free - fill rate is the honest one on intermittent items.\n4. **Show the cost of nines.** SS at 90\u002F95\u002F98\u002F99% targets for the SKUs in question - service targets are pricing decisions, and the curve makes that visible.\n5. **Recommend per class**, not globally: formula fine for X-class; formula + empirical check for Y; for Z-class recommend empirical\u002Fquantile-based sizing or a policy change (MTO, lead-time reduction) instead of a bigger z.\n6. **Validate.** Reconcile the stress-test denominator (total units demanded) against the raw data sum before presenting.\n\n## Pitfalls to check explicitly\n\n- Cycle service quoted where the contract says fill rate - a penalty clause waiting to be found.\n- Normal formula on lumpy demand understates risk precisely on the items that hurt most.\n- sigma computed over a period mixing trend or seasonality inflates SS everywhere; deseasonalize or use forecast-error sigma when a forecast exists.\n- One global service target across the whole portfolio - targets should follow item criticality and margin.\n\n## Output format\n\n1. Per-SKU (or per-class) table: mu, sigma, CV, class, SS, ROP, achieved cycle service, achieved fill rate\n2. Trust statement per class (\"formula reliable here \u002F optimistic here, use X instead\")\n3. Cost-of-nines table for the discussed target range\n4. Assumption footnote: service definition, lead-time treatment, sigma source\n\nWorked stress test with charts: https:\u002F\u002Fgithub.com\u002Fgulmezeren2-byte\u002Fabc-xyz-inventory\n\n---\n\nSource: [industrial-engineering-ai-skills](https:\u002F\u002Fgithub.com\u002Fgulmezeren2-byte\u002Findustrial-engineering-ai-skills) by Eren Gulmez (MIT). The full method pack - entry skill, role agents, data-hygiene rules and artifact templates - lives there.\n","# Safety Stock Review\n\nThe textbook formula assumes roughly normal demand. Real portfolios contain SKUs where that assumption fails badly - the skill's job is to compute the number AND say where it can be trusted.\n\n## Required data\n\nPer-SKU demand history (`sku`, `period`, `qty`, 12+ periods), lead time (with variability if available), and the service target. Clarify early **which service the target means**: cycle service (probability of no stockout per cycle) or fill rate (share of units served) - contracts usually mean fill rate, formulas usually compute cycle service.\n\n## Workflow\n\n1. **Classify first.** Compute CV and zero-period share per SKU. For CV >= 1.0 or intermittent demand, state up front that the normal-formula result will be optimistic.\n2. **Compute the formula result:** SS = z * sigma_d * sqrt(LT), ROP = mu_d * LT + SS (demand-period units consistent with LT). If lead time varies, use the extended form with the sigma_LT term - ignoring lead-time variance is the most common silent understatement.\n3. **Stress-test empirically.** Set stock at mu + SS and replay the actual history: report both achieved cycle service (share of periods fully covered) and achieved fill rate (units served \u002F units demanded). Zero-demand periods pass cycle service for free - fill rate is the honest one on intermittent items.\n4. **Show the cost of nines.** SS at 90\u002F95\u002F98\u002F99% targets for the SKUs in question - service targets are pricing decisions, and the curve makes that visible.\n5. **Recommend per class**, not globally: formula fine for X-class; formula + empirical check for Y; for Z-class recommend empirical\u002Fquantile-based sizing or a policy change (MTO, lead-time reduction) instead of a bigger z.\n6. **Validate.** Reconcile the stress-test denominator (total units demanded) against the raw data sum before presenting.\n\n## Pitfalls to check explicitly\n\n- Cycle service quoted where the contract says fill rate - a penalty clause waiting to be found.\n- Normal formula on lumpy demand understates risk precisely on the items that hurt most.\n- sigma computed over a period mixing trend or seasonality inflates SS everywhere; deseasonalize or use forecast-error sigma when a forecast exists.\n- One global service target across the whole portfolio - targets should follow item criticality and margin.\n\n## Output format\n\n1. Per-SKU (or per-class) table: mu, sigma, CV, class, SS, ROP, achieved cycle service, achieved fill rate\n2. Trust statement per class (\"formula reliable here \u002F optimistic here, use X instead\")\n3. Cost-of-nines table for the discussed target range\n4. Assumption footnote: service definition, lead-time treatment, sigma source\n\nWorked stress test with charts: https:\u002F\u002Fgithub.com\u002Fgulmezeren2-byte\u002Fabc-xyz-inventory\n\n---\n\nSource: [industrial-engineering-ai-skills](https:\u002F\u002Fgithub.com\u002Fgulmezeren2-byte\u002Findustrial-engineering-ai-skills) by Eren Gulmez (MIT). The full method pack - entry skill, role agents, data-hygiene rules and artifact templates - lives there.\n",{"name":5,"description":7},"main","2b749c82b5d11fac39d9a6e021ce3f5b8a541bd1","cli-tool\u002Fcomponents\u002Fskills\u002Foperations\u002Fsafety-stock-review",3911,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates","https:\u002F\u002Faitmpl.com","https:\u002F\u002Fgithub.com\u002Fdavila7","https:\u002F\u002Fdanielavila.me","Building AI dev tools with LLMs","2026-11-11 21:38:31",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add davila7\u002Fclaude-code-templates --skill safety-stock-review",{"tool":61,"command":62},"bunx","bunx skills add davila7\u002Fclaude-code-templates --skill safety-stock-review",{"tool":64,"command":65},"pnpm","pnpm dlx skills add davila7\u002Fclaude-code-templates --skill 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Use when asked whether a pool is worth LPing into, which pools look best right now, or how accurate the scores have actually been.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fweb-data\u002Fwealthville-pool-scoring\u002FSKILL.md",[320],{"categoryNo":321,"categoryName":322,"taxonomyType":323,"taxonomyTypeDesc":324},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[326,327,328,329,330,331,332,333,35,24,334,31,335,336,337,338,339,340,341,342],"scoring","pool","wealthville pool scoring","liquidity","which","for","exit","now","reduce","record","track","verdict","evm","solana","how","public","look",{"skillNo":344,"name":345,"nameZh":6,"description":346,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":347,"categories":348,"keywords":350,"publishedAt":40},"01M70MB6VR8ERJ4EM8D5KHBMEV","technical-debt-auditor","Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO\u002FFIXME\u002FHACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like \"where should I focus refactoring\", \"find code smells\", \"audit my codebase\", \"what technical debt do we have\", \"prioritize cleanup work\", or asks about code quality metrics. Also trigger when the user mentions \"code rot\", \"legacy cleanup\", \"refactoring priorities\", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say \"technical debt\" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Ftechnical-debt-auditor\u002FSKILL.md",[349],{"categoryNo":321,"categoryName":322,"taxonomyType":323,"taxonomyTypeDesc":324},[351,352,353,354,355,356,357,358,359,360,361,24,362,363,364,365,366,367,38,368],"technical debt","debt","technical","technical debt auditor","auditor","coverage","complexity","markers","project","cleanup","unused","code","todo","work","plan","focus","signals","dependency",{"skillNo":370,"name":371,"nameZh":6,"description":372,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":373,"categories":374,"keywords":384,"publishedAt":40},"01M70KPYH9QNHCNME5GJQGE22K","readonly-sql-guard","Make an agent's database access provably read-only. Use when an agent runs caller-supplied SQL against a production\u002FERP\u002Fanalytics database (a \"query\" MCP tool, text-to-SQL, an admin console), or when reviewing DB-access code for write\u002FDDL\u002Fside-effect\u002Ftransaction-escape risks. Checks what a statement CALLS, not just its shape.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Freadonly-sql-guard\u002FSKILL.md",[375,378,379],{"categoryNo":376,"categoryName":377,"taxonomyType":323,"taxonomyTypeDesc":324},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":321,"categoryName":322,"taxonomyType":323,"taxonomyTypeDesc":324},{"categoryNo":380,"categoryName":381,"taxonomyType":382,"taxonomyTypeDesc":383},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[385,386,387,388,389,390,391,331,392,393,394,395,396,397,398,35,399,400,24,401],"readonly","guard","sql guard","sql","readonly sql guard","erp","effect","read-only","db","just","tool","calls","only","MCP","access","database","query",{"skillNo":403,"name":404,"nameZh":6,"description":405,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":406,"licenseFileUrl":407,"sourceHtmlUrl":408,"categories":409,"keywords":413,"publishedAt":40},"01M6AFY6F7CC2BBZP1QD6VTNVC","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[410],{"categoryNo":411,"categoryName":412,"taxonomyType":323,"taxonomyTypeDesc":324},"01JBSEEDCAT000000000000009","前端开发",[414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,331,436],"artifacts builder","web","web artifacts builder","artifacts","builder","state","routing","state management","component","css","frontend","ui","Tools","file","components","shadcn","react","Tailwind","suite","jsx","html","single-file","ui components",{"skillNo":438,"name":439,"nameZh":6,"description":440,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":406,"licenseFileUrl":441,"sourceHtmlUrl":442,"categories":443,"keywords":448,"publishedAt":40},"01M6AFWF33SFV9Z3SF4PEEE4BF","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[444,447],{"categoryNo":445,"categoryName":446,"taxonomyType":323,"taxonomyTypeDesc":324},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":411,"categoryName":412,"taxonomyType":323,"taxonomyTypeDesc":324},[449,450,451,452,453,415,454,424,425,455,456,457,458,331,459,31,460],"webapp testing","testing","webapp","browser","playwright","applications","debugging","toolkit","logs","screenshots","local","behavior",{"skillNo":462,"name":463,"nameZh":6,"description":464,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":406,"licenseFileUrl":465,"sourceHtmlUrl":466,"categories":467,"keywords":475,"publishedAt":40},"01M6AF67Q67JJJ5V51JR2P52KA","discernment-nudge","After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FSKILL.md",[468,471,472],{"categoryNo":469,"categoryName":470,"taxonomyType":323,"taxonomyTypeDesc":324},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":321,"categoryName":322,"taxonomyType":323,"taxonomyTypeDesc":324},{"categoryNo":473,"categoryName":474,"taxonomyType":382,"taxonomyTypeDesc":383},"01JBSEEDCAT000000000000036","内容创作者",[476,477,478,479,480,481,482,483,417,484,427,362,485,21,486,487,488,397,489,24,490,491,492,493,494,340,495],"discernment nudge","nudge","interpretation","help","run","reasoning","data","writing","lookup","content","conversation","short","up","invoke","you","analysis","claims","argument","assemble","recommendations"]