[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DXVRMFRJ0HFS7J496FD9V5":3,"skill-same:01M6DXVRMFRJ0HFS7J496FD9V5":68},{"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":23,"publishedAt":34,"linkOnly":35,"markdownContent":36,"markdownBody":37,"frontMatter":38,"refName":40,"commitSha":41,"skillDirectory":42,"forksCount":14,"repositoryHtmlUrl":43,"repositoryHomepageUrl":6,"ownerHtmlUrl":44,"ownerBlogUrl":45,"ownerDescription":46,"updatedAt":47,"install":48,"resources":61},"01M6DXVRMFRJ0HFS7J496FD9V5","prompt-caching",null,"Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augmented.","EthanSheehan\u002FGrid-Sentinel","EthanSheehan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F174215275?v=4","01M6DX9589ENESB2AYW9YK4Y50","Ethan Sheehan","01M6DX95P06JXASASFQZRFQ1NM",0,"MIT","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fprompt-caching\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33],"prompt caching","prompt","caching","apache","cache","use","prompts","strategies","caching strategies","generation","2026-11-10 10:12:30",false,"---\nname: prompt-caching\ndescription: \"Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augmented.\"\nsource: vibeship-spawner-skills (Apache 2.0)\n---\n\n# Prompt Caching\n\nYou're a caching specialist who has reduced LLM costs by 90% through strategic caching.\nYou've implemented systems that cache at multiple levels: prompt prefixes, full responses,\nand semantic similarity matches.\n\nYou understand that LLM caching is different from traditional caching—prompts have\nprefixes that can be cached, responses vary with temperature, and semantic similarity\noften matters more than exact match.\n\nYour core principles:\n1. Cache at the right level—prefix, response, or both\n2. K\n\n## Capabilities\n\n- prompt-cache\n- response-cache\n- kv-cache\n- cag-patterns\n- cache-invalidation\n\n## Patterns\n\n### Anthropic Prompt Caching\n\nUse Claude's native prompt caching for repeated prefixes\n\n### Response Caching\n\nCache full LLM responses for identical or similar queries\n\n### Cache Augmented Generation (CAG)\n\nPre-cache documents in prompt instead of RAG retrieval\n\n## Anti-Patterns\n\n### ❌ Caching with High Temperature\n\n### ❌ No Cache Invalidation\n\n### ❌ Caching Everything\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Cache miss causes latency spike with additional overhead | high | \u002F\u002F Optimize for cache misses, not just hits |\n| Cached responses become incorrect over time | high | \u002F\u002F Implement proper cache invalidation |\n| Prompt caching doesn't work due to prefix changes | medium | \u002F\u002F Structure prompts for optimal caching |\n\n## Related Skills\n\nWorks well with: `context-window-management`, `rag-implementation`, `conversation-memory`\n","# Prompt Caching\n\nYou're a caching specialist who has reduced LLM costs by 90% through strategic caching.\nYou've implemented systems that cache at multiple levels: prompt prefixes, full responses,\nand semantic similarity matches.\n\nYou understand that LLM caching is different from traditional caching—prompts have\nprefixes that can be cached, responses vary with temperature, and semantic similarity\noften matters more than exact match.\n\nYour core principles:\n1. Cache at the right level—prefix, response, or both\n2. K\n\n## Capabilities\n\n- prompt-cache\n- response-cache\n- kv-cache\n- cag-patterns\n- cache-invalidation\n\n## Patterns\n\n### Anthropic Prompt Caching\n\nUse Claude's native prompt caching for repeated prefixes\n\n### Response Caching\n\nCache full LLM responses for identical or similar queries\n\n### Cache Augmented Generation (CAG)\n\nPre-cache documents in prompt instead of RAG retrieval\n\n## Anti-Patterns\n\n### ❌ Caching with High Temperature\n\n### ❌ No Cache Invalidation\n\n### ❌ Caching Everything\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Cache miss causes latency spike with additional overhead | high | \u002F\u002F Optimize for cache misses, not just hits |\n| Cached responses become incorrect over time | high | \u002F\u002F Implement proper cache invalidation |\n| Prompt caching doesn't work due to prefix changes | medium | \u002F\u002F Structure prompts for optimal caching |\n\n## Related Skills\n\nWorks well with: `context-window-management`, `rag-implementation`, `conversation-memory`\n",{"name":5,"source":39,"description":7},"vibeship-spawner-skills (Apache 2.0)","main","33d99efaac9ea5758fc27120b467eca96ad020d9",".agent\u002Fskills\u002Fprompt-caching","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel","https:\u002F\u002Fgithub.com\u002FEthanSheehan","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fethan-sheehan\u002F","Aerospace Engineering Student at the University of Bristol \u002F\u002F Propulsion Lead at HyPower Bristol","2026-05-22 21:19:23",{"source":8,"skillName":5,"commands":49,"prompt":59,"zipAvailable":60},[50,53,56],{"tool":51,"command":52},"npx","npx skills add EthanSheehan\u002FGrid-Sentinel --skill prompt-caching",{"tool":54,"command":55},"bunx","bunx skills add EthanSheehan\u002FGrid-Sentinel --skill prompt-caching",{"tool":57,"command":58},"pnpm","pnpm dlx skills add EthanSheehan\u002FGrid-Sentinel --skill prompt-caching","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fprompt-caching\u002FSKILL.md",true,[62],{"path":63,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":66,"sourceHtmlUrl":67},"index.json","REFERENCE","参考文档",669,"https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fnetwork\u002Frecon\u002Feasm\u002Fexploit\u002Findex.json",[69,95,128,148,162,187],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":73,"categories":74,"keywords":76,"publishedAt":34},"01M6DY3X97YDSKHCCZG9KMASHA","zapier-make-patterns","No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points.  This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fzapier-make-patterns\u002FSKILL.md",[75],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[77,78,79,80,81,82,83,84,85,86,87,88,29,89,90,91,27,92,93,94],"zapier make patterns","patterns","workflow","integrations","how to","apps","platform","but","build","complexity","power","simplicity","business","automate","how","code","automation","writing",{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":107,"publishedAt":34},"01M6DY3SVP128ZZPF2478H9JYZ","Cross-Site Scripting and HTML Injection Testing","This skill should be used when the user asks to \"test for XSS vulnerabilities\", \"perform cross-site scripting attacks\", \"identify HTML injection flaws\", \"exploit client-side injection vulnerabilities\", \"steal cookies via XSS\", or \"bypass content security policies\". It provides comprehensive techniques for detecting, exploiting, and understanding XSS and HTML injection attack vectors in web applications.","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fxss-html-injection\u002FSKILL.md",[101,104],{"categoryNo":102,"categoryName":103,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":105,"categoryName":106,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127],"html injection testing","Cross Site Scripting and HTML Injection Testing","injection","scripting","site","html","testing","exploit","user","applications","xss","cookies","content","web","test","vectors","via","steal","security","vulnerabilities",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":132,"categories":133,"keywords":143,"publishedAt":34},"01M6DY3D694G80Y5N79CD1J575","writing-skills","Use when creating new skills, editing existing skills, or verifying skills work before deployment","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fwriting-skills\u002FSKILL.md",[134,135,138],{"categoryNo":102,"categoryName":103,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":136,"categoryName":137,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":139,"categoryName":140,"taxonomyType":141,"taxonomyTypeDesc":142},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[94,144,145,29,146,147],"writing skills","deployment","editing","work",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":156,"publishedAt":34},"01M6DY3A7BM31W5Q2QARW00JHS","writing-plans","Use when you have a spec or requirements for a multi-step task, before touching code","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fwriting-plans\u002FSKILL.md",[154,155],{"categoryNo":136,"categoryName":137,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":139,"categoryName":140,"taxonomyType":141,"taxonomyTypeDesc":142},[157,94,158,159,160,29,92,161],"writing plans","plans","requirements","task","spec",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":169,"publishedAt":34},"01M6DY36NSATM95HR7HMVZJYB3","workflow-automation","Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.  This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation.  Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fworkflow-automation\u002FSKILL.md",[168],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[170,93,79,171,172,173,27,174,175,176,177,178,179,180,181,182,183,184,185,186],"Workflow Automation","Production","flow","network","workflows","accessibility","ai agents","execution","scripts","worker","payment","n8n","money","resume","orchestrator","parallel","inngest",{"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":194,"publishedAt":34},"01M6DY32QTGD80MQHJ8TPDH53H","WordPress Penetration Testing","This skill should be used when the user asks to \"pentest WordPress sites\", \"scan WordPress for vulnerabilities\", \"enumerate WordPress users, themes, or plugins\", \"exploit WordPress vulnerabilities\", or \"use WPScan\". It provides comprehensive WordPress security assessment methodologies.","https:\u002F\u002Fgithub.com\u002FEthanSheehan\u002FGrid-Sentinel\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fwordpress-penetration-testing\u002FSKILL.md",[193],{"categoryNo":102,"categoryName":103,"taxonomyType":21,"taxonomyTypeDesc":22},[114,189,195,196,197,198,199,200,115,29,116,201,202,127,126],"penetration testing","wordpress","security assessment","sites","scan","pentest","plugins","assessment"]