[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6QYSKVSC7GYYBA8SCYKT4DP":3,"skill-same:01M6QYSKVSC7GYYBA8SCYKT4DP":80},{"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":28,"publishedAt":53,"linkOnly":54,"markdownContent":55,"markdownBody":56,"frontMatter":57,"refName":59,"commitSha":60,"skillDirectory":61,"forksCount":62,"repositoryHtmlUrl":63,"repositoryHomepageUrl":6,"ownerHtmlUrl":64,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":65,"install":66,"resources":79},"01M6QYSKVSC7GYYBA8SCYKT4DP","ai-product",null,"Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.  This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.","Mishit18\u002Fclaude-code-templates","Mishit18","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F244127857?v=4","01M6QXBYKWM76HSKYDNWSKKE41","Mishit Sharma","01M6QXBYRJ0CAVM51S1RTEKTZZ",1,"MIT","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fai-product\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000031","产品经理","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52],"product","ai product","prompt","when","spawner","you","llm integration","users","patterns","build","trust","cost","use","question","architecture","ship","Optimization","demo","file","apache","ux","code","rag","cost optimization","2026-11-10 10:12:30",false,"---\nname: ai-product\ndescription: \"Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.  This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.\"\nsource: vibeship-spawner-skills (Apache 2.0)\n---\n\n# AI Product Development\n\nYou are an AI product engineer who has shipped LLM features to millions of\nusers. You've debugged hallucinations at 3am, optimized prompts to reduce\ncosts by 80%, and built safety systems that caught thousands of harmful\noutputs. You know that demos are easy and production is hard. You treat\nprompts as code, validate all outputs, and never trust an LLM blindly.\n\n## Patterns\n\n### Structured Output with Validation\n\nUse function calling or JSON mode with schema validation\n\n### Streaming with Progress\n\nStream LLM responses to show progress and reduce perceived latency\n\n### Prompt Versioning and Testing\n\nVersion prompts in code and test with regression suite\n\n## Anti-Patterns\n\n### ❌ Demo-ware\n\n**Why bad**: Demos deceive. Production reveals truth. Users lose trust fast.\n\n### ❌ Context window stuffing\n\n**Why bad**: Expensive, slow, hits limits. Dilutes relevant context with noise.\n\n### ❌ Unstructured output parsing\n\n**Why bad**: Breaks randomly. Inconsistent formats. Injection risks.\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Trusting LLM output without validation | critical | # Always validate output: |\n| User input directly in prompts without sanitization | critical | # Defense layers: |\n| Stuffing too much into context window | high | # Calculate tokens before sending: |\n| Waiting for complete response before showing anything | high | # Stream responses: |\n| Not monitoring LLM API costs | high | # Track per-request: |\n| App breaks when LLM API fails | high | # Defense in depth: |\n| Not validating facts from LLM responses | critical | # For factual claims: |\n| Making LLM calls in synchronous request handlers | high | # Async patterns: |\n\n","# AI Product Development\n\nYou are an AI product engineer who has shipped LLM features to millions of\nusers. You've debugged hallucinations at 3am, optimized prompts to reduce\ncosts by 80%, and built safety systems that caught thousands of harmful\noutputs. You know that demos are easy and production is hard. You treat\nprompts as code, validate all outputs, and never trust an LLM blindly.\n\n## Patterns\n\n### Structured Output with Validation\n\nUse function calling or JSON mode with schema validation\n\n### Streaming with Progress\n\nStream LLM responses to show progress and reduce perceived latency\n\n### Prompt Versioning and Testing\n\nVersion prompts in code and test with regression suite\n\n## Anti-Patterns\n\n### ❌ Demo-ware\n\n**Why bad**: Demos deceive. Production reveals truth. Users lose trust fast.\n\n### ❌ Context window stuffing\n\n**Why bad**: Expensive, slow, hits limits. Dilutes relevant context with noise.\n\n### ❌ Unstructured output parsing\n\n**Why bad**: Breaks randomly. Inconsistent formats. Injection risks.\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Trusting LLM output without validation | critical | # Always validate output: |\n| User input directly in prompts without sanitization | critical | # Defense layers: |\n| Stuffing too much into context window | high | # Calculate tokens before sending: |\n| Waiting for complete response before showing anything | high | # Stream responses: |\n| Not monitoring LLM API costs | high | # Track per-request: |\n| App breaks when LLM API fails | high | # Defense in depth: |\n| Not validating facts from LLM responses | critical | # For factual claims: |\n| Making LLM calls in synchronous request handlers | high | # Async patterns: |\n\n",{"name":5,"source":58,"description":7},"vibeship-spawner-skills (Apache 2.0)","main","015422534a7457348a313b6381f0255d3364eb8c","cli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fai-product",0,"https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates","https:\u002F\u002Fgithub.com\u002FMishit18","2026-11-10 18:35:05",{"source":8,"skillName":5,"commands":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add Mishit18\u002Fclaude-code-templates --skill ai-product",{"tool":72,"command":73},"bunx","bunx skills add Mishit18\u002Fclaude-code-templates --skill ai-product",{"tool":75,"command":76},"pnpm","pnpm dlx skills add Mishit18\u002Fclaude-code-templates --skill ai-product","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fbusiness-marketing\u002Fai-product\u002FSKILL.md",true,[],[81,111,137,164,188,212],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":85,"licenseFileUrl":86,"sourceHtmlUrl":87,"categories":88,"keywords":92,"publishedAt":53},"01M6R4ARN4W2VZRDERDTMN1KP0","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\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[89],{"categoryNo":90,"categoryName":91,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[93,94,95,96,97,98,99,100,101,102,103,104,47,105,41,106,107,108,109,110],"web artifacts builder","web","artifacts","artifacts builder","builder","frontend","css","components","react","routing","state management","state","Tailwind","single-file","ui components","multi","for","single",{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":85,"licenseFileUrl":115,"sourceHtmlUrl":116,"categories":117,"keywords":122,"publishedAt":53},"01M6R45GXREM5DP8T08MAC788H","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\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[118,121],{"categoryNo":119,"categoryName":120,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":90,"categoryName":91,"taxonomyType":21,"taxonomyTypeDesc":22},[123,124,125,98,126,127,94,128,129,130,131,132,133,134,135,136,109],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","ui","logs","applications","behavior","local","with",{"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":141,"sourceHtmlUrl":142,"categories":143,"keywords":144,"publishedAt":53},"01M6R2GYJ470X8EB7R58V0B68K","think-tank","Run a Virtual Think Tank — a structured multi-persona debate — before planning or making architectural\u002Fdesign\u002Fstrategic decisions. Use this skill whenever the user is about to plan a system, make a technology choice, evaluate trade-offs, decide on an approach, or faces any decision where multiple perspectives would sharpen the outcome. Also trigger when the user says \"think tank\", \"debate this\", \"perspectives on\", \"trade-offs\", \"should I use X or Y\", \"help me decide\", \"before we plan\", or asks for pros\u002Fcons of competing approaches. This skill should run BEFORE any implementation planning begins — it produces a structured analysis that feeds into better plans.","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fthink-tank\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fthink-tank\u002FSKILL.md",[],[145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,32],"think tank","think","design","run","feeds","analysis","persona","plan","sharpen","virtual","decision","choice","decide","perspectives","outcome","me","debate","make","trade-offs",{"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":85,"licenseFileUrl":168,"sourceHtmlUrl":169,"categories":170,"keywords":172,"publishedAt":53},"01M6R2FSR55AVRFA9YZ8SC2GZG","skill-creator","Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FSKILL.md",[171],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[173,174,175,176,177,178,179,180,181,182,183,184,185,36,136,109,186,32,187],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","Existing","new",{"skillNo":189,"name":190,"nameZh":6,"description":191,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":192,"categories":193,"keywords":194,"publishedAt":53},"01M6R2FK42ZZ4HJTJVVK9WJBBP","ship-learn-next","Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fship-learn-next\u002FSKILL.md",[],[195,196,44,197,198,199,200,201,41,202,203,204,205,206,207,208,209,210,211,32],"learn","ship learn next","next","framework","learning","read","write","advice","implementation","youtube","plans","quest","transform","actionable","action","lessons","youtube transcripts",{"skillNo":213,"name":214,"nameZh":6,"description":215,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":85,"licenseFileUrl":216,"sourceHtmlUrl":217,"categories":218,"keywords":225,"publishedAt":53},"01M6R2088G1RHDA5MDX16HASRB","slack-gif-creator","Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like \"make me a GIF of X doing Y for Slack.\"","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMishit18\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FSKILL.md",[219,222],{"categoryNo":220,"categoryName":221,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":223,"categoryName":224,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",[226,227,228,174,229,230,231,232,179,41,160,36,162,233,234,109,235,32],"slack gif creator","slack","gif","validation","Tools","constraints","Animation","Utilities","concepts","request"]