[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AE9PJ2BJA5E7R4PTW15K02":3,"skill-same:01M6AE9PJ2BJA5E7R4PTW15K02":119},{"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":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":54,"ownerHtmlUrl":55,"ownerBlogUrl":56,"ownerDescription":57,"updatedAt":58,"install":59,"resources":72},"01M6AE9PJ2BJA5E7R4PTW15K02","alloydb-basics",null,"Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB MCP tools for automated database operations including AI-powered search and vector capabilities.","davila7\u002Fclaude-code-templates","davila7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6216945?v=4","01M6ADEWWFPS191NFM0Y1EX1JH","Daniel Avila","01M6ADJHGM78PHQRD3XZTFDVKK",33481,"MIT","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Falloydb-basics\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"alloydb basics","basics","vector","Clusters","for","with","database operations","instances","operations","Tools","MCP","search","apache","postgresql","database","mcp tools","capabilities","google","2026-11-10 10:12:30",false,"---\nname: alloydb-basics\ndescription: Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB MCP tools for automated database operations including AI-powered search and vector capabilities.\nmetadata:\n  source: google\u002Fskills (Apache 2.0)\n---\n\n# AlloyDB Basics\n\nAlloyDB for PostgreSQL is a managed, PostgreSQL-compatible database service\ndesigned for enterprise-grade performance and availability. It utilizes a\ndisaggregated compute and storage architecture to scale resources independently.\nIt also provides AlloyDB AI, a collection of features that includes AI-powered\nsearch (vector, hybrid search, and AI functions), natural language capabilities,\nconversational analytics, and inference features like forecasting and model\nendpoint management to help developers build AI apps faster.\n\n## Quick Start\n\n1.  **Enable the AlloyDB API:**\n\n    ```bash\n    gcloud services enable alloydb.googleapis.com --quiet\n    ```\n\n2.  **Create a Cluster:**\n\n    ```bash\n    gcloud alloydb clusters create my-cluster --region=us-central1 \\\n        --password=my-password --network=my-vpc \\\n        --quiet\n    ```\n\n    *Note: For production, we recommend using IAM database authentication\n    instead of passwords. If passwords must be used, use secure secret\n    management (e.g., Secret Manager) instead of passing passwords in\n    cleartext.*\n\n3.  **Create a Primary Instance:**\n\n    ```bash\n    gcloud alloydb instances create my-primary --cluster=my-cluster \\\n        --region=us-central1 --instance-type=PRIMARY --cpu-count=2 \\\n        --quiet\n    ```\n\n## Reference Directory\n\n-   [Core Concepts](references\u002Fcore-concepts.md): Architecture, disaggregated\n    storage, and performance features.\n\n-   [CLI Usage](references\u002Fcli-usage.md): Essential `gcloud alloydb` commands\n    for cluster and instance management.\n\n-   [Client Libraries & Connectors](references\u002Fclient-library-usage.md):\n    Connecting to AlloyDB using Python, Java, Node.js, and Go.\n\n-   [MCP Usage](references\u002Fmcp-usage.md): Using the AlloyDB remote MCP server\n    and Gemini CLI extension.\n\n-   [Infrastructure as Code](references\u002Fiac-usage.md): Terraform\n    configuration and deployment examples.\n\n-   [IAM & Security](references\u002Fiam-security.md): Predefined roles, service\n    agents, and database authentication.\n\n*If you need product information not found in these references, use the\n    Developer Knowledge MCP server `search_documents` tool.*\n","# AlloyDB Basics\n\nAlloyDB for PostgreSQL is a managed, PostgreSQL-compatible database service\ndesigned for enterprise-grade performance and availability. It utilizes a\ndisaggregated compute and storage architecture to scale resources independently.\nIt also provides AlloyDB AI, a collection of features that includes AI-powered\nsearch (vector, hybrid search, and AI functions), natural language capabilities,\nconversational analytics, and inference features like forecasting and model\nendpoint management to help developers build AI apps faster.\n\n## Quick Start\n\n1.  **Enable the AlloyDB API:**\n\n    ```bash\n    gcloud services enable alloydb.googleapis.com --quiet\n    ```\n\n2.  **Create a Cluster:**\n\n    ```bash\n    gcloud alloydb clusters create my-cluster --region=us-central1 \\\n        --password=my-password --network=my-vpc \\\n        --quiet\n    ```\n\n    *Note: For production, we recommend using IAM database authentication\n    instead of passwords. If passwords must be used, use secure secret\n    management (e.g., Secret Manager) instead of passing passwords in\n    cleartext.*\n\n3.  **Create a Primary Instance:**\n\n    ```bash\n    gcloud alloydb instances create my-primary --cluster=my-cluster \\\n        --region=us-central1 --instance-type=PRIMARY --cpu-count=2 \\\n        --quiet\n    ```\n\n## Reference Directory\n\n-   [Core Concepts](references\u002Fcore-concepts.md): Architecture, disaggregated\n    storage, and performance features.\n\n-   [CLI Usage](references\u002Fcli-usage.md): Essential `gcloud alloydb` commands\n    for cluster and instance management.\n\n-   [Client Libraries & Connectors](references\u002Fclient-library-usage.md):\n    Connecting to AlloyDB using Python, Java, Node.js, and Go.\n\n-   [MCP Usage](references\u002Fmcp-usage.md): Using the AlloyDB remote MCP server\n    and Gemini CLI extension.\n\n-   [Infrastructure as Code](references\u002Fiac-usage.md): Terraform\n    configuration and deployment examples.\n\n-   [IAM & Security](references\u002Fiam-security.md): Predefined roles, service\n    agents, and database authentication.\n\n*If you need product information not found in these references, use the\n    Developer Knowledge MCP server `search_documents` tool.*\n",{"name":5,"metadata":47,"description":7},{"source":48},"google\u002Fskills (Apache 2.0)","main","2b749c82b5d11fac39d9a6e021ce3f5b8a541bd1","cli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Falloydb-basics",3931,"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","2026-11-14 06:14:46",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add davila7\u002Fclaude-code-templates --skill alloydb-basics",{"tool":65,"command":66},"bunx","bunx skills add 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DeFi liquidity pools before providing liquidity. Returns a 0-100 pool score and an Enter\u002FHold\u002FExit\u002FReduce\u002FAvoid verdict with calibrated confidence for ~68,800 Solana pools and 575 EVM pools, plus a public miss-inclusive track record. 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",[126],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[128,129,130,131,132,28,133,134,135,136,137,29,138,139,140,141,142,143,144,145],"scoring","pool","wealthville pool scoring","liquidity","which","exit","now","use","when","reduce","record","track","verdict","evm","solana","how","public","look",{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":153,"publishedAt":42},"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",[152],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[154,155,156,157,158,159,160,161,162,163,164,136,165,166,167,168,169,170,171,172],"technical debt","debt","technical","technical debt auditor","auditor","coverage","complexity","markers","project","cleanup","unused","code","todo","work","plan","focus","signals","audit","dependency",{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":188,"publishedAt":42},"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",[179,182,183],{"categoryNo":180,"categoryName":181,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":184,"categoryName":185,"taxonomyType":186,"taxonomyTypeDesc":187},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[189,190,191,192,193,194,195,28,196,197,198,199,200,201,34,135,202,38,136,203],"readonly","guard","sql guard","sql","readonly sql guard","erp","effect","read-only","db","just","tool","calls","only","access","query",{"skillNo":205,"name":206,"nameZh":6,"description":207,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":208,"licenseFileUrl":209,"sourceHtmlUrl":210,"categories":211,"keywords":215,"publishedAt":42},"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",[212],{"categoryNo":213,"categoryName":214,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[216,217,218,219,220,221,222,223,224,225,226,227,33,228,229,230,231,232,233,234,235,236,28,237],"artifacts builder","web","web artifacts builder","artifacts","builder","state","routing","state management","component","css","frontend","ui","file","components","shadcn","react","Tailwind","suite","jsx","html","single-file","ui components",{"skillNo":239,"name":240,"nameZh":6,"description":241,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":208,"licenseFileUrl":242,"sourceHtmlUrl":243,"categories":244,"keywords":249,"publishedAt":42},"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",[245,248],{"categoryNo":246,"categoryName":247,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":213,"categoryName":214,"taxonomyType":21,"taxonomyTypeDesc":22},[250,251,252,253,254,217,255,226,227,256,257,258,259,28,260,29,261],"webapp testing","testing","webapp","browser","playwright","applications","debugging","toolkit","logs","screenshots","local","behavior",{"skillNo":263,"name":264,"nameZh":6,"description":265,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":208,"licenseFileUrl":266,"sourceHtmlUrl":267,"categories":268,"keywords":276,"publishedAt":42},"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",[269,272,273],{"categoryNo":270,"categoryName":271,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":274,"categoryName":275,"taxonomyType":186,"taxonomyTypeDesc":187},"01JBSEEDCAT000000000000036","内容创作者",[277,278,279,280,281,282,283,284,219,285,228,165,286,287,288,289,290,201,291,136,292,293,294,295,296,143,297],"discernment nudge","nudge","interpretation","help","run","reasoning","data","writing","lookup","content","review","conversation","short","up","invoke","you","analysis","claims","argument","assemble","recommendations"]