[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7AKSWBD640QA4X04ZPZCFCT":3,"skill-same:01M7AKSWBD640QA4X04ZPZCFCT":46},{"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":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":25,"commitSha":26,"skillDirectory":27,"forksCount":14,"repositoryHtmlUrl":28,"repositoryHomepageUrl":6,"ownerHtmlUrl":29,"ownerBlogUrl":6,"ownerDescription":30,"updatedAt":31,"install":32,"resources":45},"01M7AKSWBD640QA4X04ZPZCFCT","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.","GongYuanCaiJi\u002Fdsh-claude-code-templates","GongYuanCaiJi","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F129952120?v=4","01M7AK39Q4W3VPF7C1K8M58BFX","劉昱廷 Yu-Ting Liu","01M7AK39QPS2RAJKRQY0EPQJPZ",0,"MIT","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fai-research\u002Fprompt-caching\u002FSKILL.md",[],[],"2026-11-15 14:19:17",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":24,"description":7},"vibeship-spawner-skills (Apache 2.0)","main","51493f354fd03e3f941d4df7fd64c0b8c7a2632d","skills\u002Fai-research\u002Fprompt-caching","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi","漏洞研究、根因分析、黑箱測試｜做 AI agent 工具｜Vulnerability research, root-cause analysis, AI agent tooling","2026-08-16 02:24:07",{"source":8,"skillName":5,"commands":33,"prompt":43,"zipAvailable":44},[34,37,40],{"tool":35,"command":36},"npx","npx skills add GongYuanCaiJi\u002Fdsh-claude-code-templates --skill prompt-caching",{"tool":38,"command":39},"bunx","bunx skills add GongYuanCaiJi\u002Fdsh-claude-code-templates --skill prompt-caching",{"tool":41,"command":42},"pnpm","pnpm dlx skills add GongYuanCaiJi\u002Fdsh-claude-code-templates --skill prompt-caching","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fai-research\u002Fprompt-caching\u002FSKILL.md",true,[],[47,54,63,70,77,84],{"skillNo":48,"name":49,"nameZh":6,"description":50,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":51,"categories":52,"keywords":53,"publishedAt":19},"01M7ARMYTZ5D4B7N5SKFXV345V","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\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fzapier-make-patterns\u002FSKILL.md",[],[],{"skillNo":55,"name":56,"nameZh":6,"description":57,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":58,"licenseFileUrl":59,"sourceHtmlUrl":60,"categories":61,"keywords":62,"publishedAt":19},"01M7ARMX1BVNEAR98SBANMDF2V","yeet","Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).","Apache-2.0","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fyeet\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fyeet\u002FSKILL.md",[],[],{"skillNo":64,"name":65,"nameZh":6,"description":66,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":67,"categories":68,"keywords":69,"publishedAt":19},"01M7ARMPR4RQ417MG1HMPGNQHH","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\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fworkflow-automation\u002FSKILL.md",[],[],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":19},"01M7ARMHBERDMKGDMV7K6MQ6YP","trigger-dev","Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Ftrigger-dev\u002FSKILL.md",[],[],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":83,"publishedAt":19},"01M7ARME0A7KFT330Q2H25HE2B","slack-automation","Automate Slack workspace operations including messaging, search, channel management, and reaction workflows through Composio's Slack toolkit.","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fslack-automation\u002FSKILL.md",[],[],{"skillNo":85,"name":86,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":88,"categories":89,"keywords":90,"publishedAt":19},"01M7ARM8D87V18WDG0GEZS11ZT","planning-with-files","Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.","https:\u002F\u002Fgithub.com\u002FGongYuanCaiJi\u002Fdsh-claude-code-templates\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-automation\u002Fplanning-with-files\u002FSKILL.md",[],[]]