[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AEAAVT43Q5S40FG8PVR1K0":3,"skill-same:01M6AEAAVT43Q5S40FG8PVR1K0":76},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":57,"ownerHtmlUrl":58,"ownerBlogUrl":59,"ownerDescription":60,"updatedAt":61,"install":62,"resources":75},"01M6AEAAVT43Q5S40FG8PVR1K0","postgresql-optimization",null,"PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.","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\u002Fpostgresql-optimization\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"postgresql","Optimization","postgresql optimization","analysis","postgresql database","2026","for","performance analysis","indexing","strategies","database optimization","query","management","personal","tuning","Production","database","workflow","performance","safe","2026-11-10 10:12:30",false,"---\nname: postgresql-optimization\ndescription: \"PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.\"\nmetadata:\n  category: granular-workflow-bundle\n  risk: safe\n  source: personal\n  date_added: \"2026-02-27\"\n---\n\n# PostgreSQL Optimization Workflow\n\n## Overview\n\nSpecialized workflow for PostgreSQL database optimization including query tuning, indexing strategies, performance analysis, vacuum management, and production database administration.\n\n## When to Use This Workflow\n\nUse this workflow when:\n- Optimizing slow PostgreSQL queries\n- Designing indexing strategies\n- Analyzing database performance\n- Tuning PostgreSQL configuration\n- Managing production databases\n\n## Workflow Phases\n\n### Phase 1: Performance Assessment\n\n#### Skills to Invoke\n- `database-optimizer` - Database optimization\n- `postgres-best-practices` - PostgreSQL best practices\n\n#### Actions\n1. Check database version\n2. Review configuration\n3. Analyze slow queries\n4. Check resource usage\n5. Identify bottlenecks\n\n#### Copy-Paste Prompts\n```\nUse @database-optimizer to assess PostgreSQL performance\n```\n\n### Phase 2: Query Analysis\n\n#### Skills to Invoke\n- `sql-optimization-patterns` - SQL optimization\n- `postgres-best-practices` - PostgreSQL patterns\n\n#### Actions\n1. Run EXPLAIN ANALYZE\n2. Identify scan types\n3. Check join strategies\n4. Analyze execution time\n5. Find optimization opportunities\n\n#### Copy-Paste Prompts\n```\nUse @sql-optimization-patterns to analyze and optimize queries\n```\n\n### Phase 3: Indexing Strategy\n\n#### Skills to Invoke\n- `database-design` - Index design\n- `postgresql` - PostgreSQL indexing\n\n#### Actions\n1. Identify missing indexes\n2. Create B-tree indexes\n3. Add composite indexes\n4. Consider partial indexes\n5. Review index usage\n\n#### Copy-Paste Prompts\n```\nUse @database-design to design PostgreSQL indexing strategy\n```\n\n### Phase 4: Query Optimization\n\n#### Skills to Invoke\n- `sql-optimization-patterns` - Query tuning\n- `sql-pro` - SQL expertise\n\n#### Actions\n1. Rewrite inefficient queries\n2. Optimize joins\n3. Add CTEs where helpful\n4. Implement pagination\n5. Test improvements\n\n#### Copy-Paste Prompts\n```\nUse @sql-optimization-patterns to optimize SQL queries\n```\n\n### Phase 5: Configuration Tuning\n\n#### Skills to Invoke\n- `postgres-best-practices` - Configuration\n- `database-admin` - Database administration\n\n#### Actions\n1. Tune shared_buffers\n2. Configure work_mem\n3. Set effective_cache_size\n4. Adjust checkpoint settings\n5. Configure autovacuum\n\n#### Copy-Paste Prompts\n```\nUse @postgres-best-practices to tune PostgreSQL configuration\n```\n\n### Phase 6: Maintenance\n\n#### Skills to Invoke\n- `database-admin` - Database maintenance\n- `postgresql` - PostgreSQL maintenance\n\n#### Actions\n1. Schedule VACUUM\n2. Run ANALYZE\n3. Check table bloat\n4. Monitor autovacuum\n5. Review statistics\n\n#### Copy-Paste Prompts\n```\nUse @database-admin to schedule PostgreSQL maintenance\n```\n\n### Phase 7: Monitoring\n\n#### Skills to Invoke\n- `grafana-dashboards` - Monitoring dashboards\n- `prometheus-configuration` - Metrics collection\n\n#### Actions\n1. Set up monitoring\n2. Create dashboards\n3. Configure alerts\n4. Track key metrics\n5. Review trends\n\n#### Copy-Paste Prompts\n```\nUse @grafana-dashboards to create PostgreSQL monitoring\n```\n\n## Optimization Checklist\n\n- [ ] Slow queries identified\n- [ ] Indexes optimized\n- [ ] Configuration tuned\n- [ ] Maintenance scheduled\n- [ ] Monitoring active\n- [ ] Performance improved\n\n## Quality Gates\n\n- [ ] Query performance improved\n- [ ] Indexes effective\n- [ ] Configuration optimized\n- [ ] Maintenance automated\n- [ ] Monitoring in place\n\n## Related Workflow Bundles\n\n- `database` - Database operations\n- `cloud-devops` - Infrastructure\n- `performance-optimization` - Performance\n","# PostgreSQL Optimization Workflow\n\n## Overview\n\nSpecialized workflow for PostgreSQL database optimization including query tuning, indexing strategies, performance analysis, vacuum management, and production database administration.\n\n## When to Use This Workflow\n\nUse this workflow when:\n- Optimizing slow PostgreSQL queries\n- Designing indexing strategies\n- Analyzing database performance\n- Tuning PostgreSQL configuration\n- Managing production databases\n\n## Workflow Phases\n\n### Phase 1: Performance Assessment\n\n#### Skills to Invoke\n- `database-optimizer` - Database optimization\n- `postgres-best-practices` - PostgreSQL best practices\n\n#### Actions\n1. Check database version\n2. Review configuration\n3. Analyze slow queries\n4. Check resource usage\n5. Identify bottlenecks\n\n#### Copy-Paste Prompts\n```\nUse @database-optimizer to assess PostgreSQL performance\n```\n\n### Phase 2: Query Analysis\n\n#### Skills to Invoke\n- `sql-optimization-patterns` - SQL optimization\n- `postgres-best-practices` - PostgreSQL patterns\n\n#### Actions\n1. Run EXPLAIN ANALYZE\n2. Identify scan types\n3. Check join strategies\n4. Analyze execution time\n5. Find optimization opportunities\n\n#### Copy-Paste Prompts\n```\nUse @sql-optimization-patterns to analyze and optimize queries\n```\n\n### Phase 3: Indexing Strategy\n\n#### Skills to Invoke\n- `database-design` - Index design\n- `postgresql` - PostgreSQL indexing\n\n#### Actions\n1. Identify missing indexes\n2. Create B-tree indexes\n3. Add composite indexes\n4. Consider partial indexes\n5. Review index usage\n\n#### Copy-Paste Prompts\n```\nUse @database-design to design PostgreSQL indexing strategy\n```\n\n### Phase 4: Query Optimization\n\n#### Skills to Invoke\n- `sql-optimization-patterns` - Query tuning\n- `sql-pro` - SQL expertise\n\n#### Actions\n1. Rewrite inefficient queries\n2. Optimize joins\n3. Add CTEs where helpful\n4. Implement pagination\n5. Test improvements\n\n#### Copy-Paste Prompts\n```\nUse @sql-optimization-patterns to optimize SQL queries\n```\n\n### Phase 5: Configuration Tuning\n\n#### Skills to Invoke\n- `postgres-best-practices` - Configuration\n- `database-admin` - Database administration\n\n#### Actions\n1. Tune shared_buffers\n2. Configure work_mem\n3. Set effective_cache_size\n4. Adjust checkpoint settings\n5. Configure autovacuum\n\n#### Copy-Paste Prompts\n```\nUse @postgres-best-practices to tune PostgreSQL configuration\n```\n\n### Phase 6: Maintenance\n\n#### Skills to Invoke\n- `database-admin` - Database maintenance\n- `postgresql` - PostgreSQL maintenance\n\n#### Actions\n1. Schedule VACUUM\n2. Run ANALYZE\n3. Check table bloat\n4. Monitor autovacuum\n5. Review statistics\n\n#### Copy-Paste Prompts\n```\nUse @database-admin to schedule PostgreSQL maintenance\n```\n\n### Phase 7: Monitoring\n\n#### Skills to Invoke\n- `grafana-dashboards` - Monitoring dashboards\n- `prometheus-configuration` - Metrics collection\n\n#### Actions\n1. Set up monitoring\n2. Create dashboards\n3. Configure alerts\n4. Track key metrics\n5. Review trends\n\n#### Copy-Paste Prompts\n```\nUse @grafana-dashboards to create PostgreSQL monitoring\n```\n\n## Optimization Checklist\n\n- [ ] Slow queries identified\n- [ ] Indexes optimized\n- [ ] Configuration tuned\n- [ ] Maintenance scheduled\n- [ ] Monitoring active\n- [ ] Performance improved\n\n## Quality Gates\n\n- [ ] Query performance improved\n- [ ] Indexes effective\n- [ ] Configuration optimized\n- [ ] Maintenance automated\n- [ ] Monitoring in place\n\n## Related Workflow Bundles\n\n- `database` - Database operations\n- `cloud-devops` - Infrastructure\n- `performance-optimization` - Performance\n",{"name":5,"metadata":49,"description":7},{"risk":43,"source":37,"category":50,"date_added":51},"granular-workflow-bundle","2026-02-27","main","2b749c82b5d11fac39d9a6e021ce3f5b8a541bd1","cli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Fpostgresql-optimization",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":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add davila7\u002Fclaude-code-templates --skill postgresql-optimization",{"tool":68,"command":69},"bunx","bunx skills add davila7\u002Fclaude-code-templates --skill postgresql-optimization",{"tool":71,"command":72},"pnpm","pnpm dlx skills add davila7\u002Fclaude-code-templates --skill postgresql-optimization","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Fpostgresql-optimization\u002FSKILL.md",true,[],[77,104,131,162,197,221],{"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":84,"publishedAt":44},"01M70NHBTQ8BV0A2SCAZXEPHCX","wealthville-pool-scoring","Score 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",[83],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[85,86,87,88,89,30,90,91,92,93,94,95,96,97,98,99,100,101,102,103],"scoring","pool","wealthville pool scoring","liquidity","which","exit","now","use","when","reduce","with","record","track","verdict","evm","solana","how","public","look",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":111,"publishedAt":44},"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",[110],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[112,113,114,115,116,117,118,119,120,121,122,93,123,124,125,126,127,128,129,130],"technical debt","debt","technical","technical debt auditor","auditor","coverage","complexity","markers","project","cleanup","unused","code","todo","work","plan","focus","signals","audit","dependency",{"skillNo":132,"name":133,"nameZh":6,"description":134,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":135,"categories":136,"keywords":146,"publishedAt":44},"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",[137,140,141],{"categoryNo":138,"categoryName":139,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":142,"categoryName":143,"taxonomyType":144,"taxonomyTypeDesc":145},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[147,148,149,150,151,152,153,30,154,155,156,157,158,159,160,92,161,40,93,35],"readonly","guard","sql guard","sql","readonly sql guard","erp","effect","read-only","db","just","tool","calls","only","MCP","access",{"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":166,"licenseFileUrl":167,"sourceHtmlUrl":168,"categories":169,"keywords":173,"publishedAt":44},"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",[170],{"categoryNo":171,"categoryName":172,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,30,196],"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":198,"name":199,"nameZh":6,"description":200,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":166,"licenseFileUrl":201,"sourceHtmlUrl":202,"categories":203,"keywords":208,"publishedAt":44},"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",[204,207],{"categoryNo":205,"categoryName":206,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":171,"categoryName":172,"taxonomyType":21,"taxonomyTypeDesc":22},[209,210,211,212,213,175,214,184,185,215,216,217,218,30,219,95,220],"webapp testing","testing","webapp","browser","playwright","applications","debugging","toolkit","logs","screenshots","local","behavior",{"skillNo":222,"name":223,"nameZh":6,"description":224,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":166,"licenseFileUrl":225,"sourceHtmlUrl":226,"categories":227,"keywords":235,"publishedAt":44},"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",[228,231,232],{"categoryNo":229,"categoryName":230,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":233,"categoryName":234,"taxonomyType":144,"taxonomyTypeDesc":145},"01JBSEEDCAT000000000000036","内容创作者",[236,237,238,239,240,241,242,243,177,244,187,123,245,246,247,248,249,159,250,93,251,27,252,253,254,101,255],"discernment nudge","nudge","interpretation","help","run","reasoning","data","writing","lookup","content","review","conversation","short","up","invoke","you","claims","argument","assemble","recommendations"]