[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-cline-analyzer":3,"mdc-jbxbsh-key":36,"related-org-cline-analyzer":212,"related-repo-cline-analyzer":401},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":25,"repoUrl":26,"updatedAt":27,"license":28,"forks":29,"topics":30,"repo":31,"sourceUrl":34,"mdContent":35},"analyzer","analyze queried data for trends","Analyze queried data for trends, week-over-week comparisons, distributions, funnels, cohorts, top-N lists, anomalies, sanity checks, and report-ready findings. Use after or alongside ClickHouse queries when the user wants insight rather than raw rows.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"cline","Cline","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fcline.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"ClickHouse","clickhouse","tag",{"name":17,"slug":18,"type":15},"Data Analysis","data-analysis",{"name":20,"slug":21,"type":15},"Analytics","analytics",{"name":23,"slug":24,"type":15},"Statistics","statistics",10,"https:\u002F\u002Fgithub.com\u002Fcline\u002Fskills","2026-07-12T08:14:05.606036",null,4,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":33},[],"A collection of skills used at Cline","https:\u002F\u002Fgithub.com\u002Fcline\u002Fskills\u002Ftree\u002FHEAD\u002Fskills\u002Fdata-analyst\u002Fskills\u002Fanalyzer","---\nname: analyzer\ndescription: Analyze queried data for trends, week-over-week comparisons, distributions, funnels, cohorts, top-N lists, anomalies, sanity checks, and report-ready findings. Use after or alongside ClickHouse queries when the user wants insight rather than raw rows.\n---\n\n# Analyzer\n\nTurn data into defensible findings instead of only returning rows.\n\n## Analysis patterns\n\nChoose the smallest pattern that answers the question:\n\n- Trend: metric over time at the right grain.\n- Comparison: current period vs prior period, release vs baseline, or segment A vs B.\n- Distribution: percentiles, skew, tails, and outliers.\n- Funnel: step counts, conversion rates, and drop-offs.\n- Cohort: behavior grouped by start date, version, source, or first action.\n- Top-N: largest contributors with share of total.\n- Sanity check: row counts, null rates, first\u002Flast seen, duplicates, and data freshness.\n\n## Before concluding\n\n- Verify the time window and grain match the user's question.\n- Check sample size, nulls, and whether the metric is dominated by a small tail.\n- Look for freshness, rollout, telemetry opt-in, or version-coverage issues.\n- Avoid causal language unless the query design supports causality.\n- If the result is surprising, run or propose one validation query before presenting it as fact.\n\n## Finding format\n\n```md\nFinding: ...\nEvidence: ...\nConfidence: High\u002FMedium\u002FLow because ...\nCaveats: ...\nRecommended next check: ...\n```\n",{"data":37,"body":38},{"name":4,"description":6},{"type":39,"children":40},"root",[41,49,55,62,67,107,113,141,147,206],{"type":42,"tag":43,"props":44,"children":45},"element","h1",{"id":4},[46],{"type":47,"value":48},"text","Analyzer",{"type":42,"tag":50,"props":51,"children":52},"p",{},[53],{"type":47,"value":54},"Turn data into defensible findings instead of only returning rows.",{"type":42,"tag":56,"props":57,"children":59},"h2",{"id":58},"analysis-patterns",[60],{"type":47,"value":61},"Analysis patterns",{"type":42,"tag":50,"props":63,"children":64},{},[65],{"type":47,"value":66},"Choose the smallest pattern that answers the question:",{"type":42,"tag":68,"props":69,"children":70},"ul",{},[71,77,82,87,92,97,102],{"type":42,"tag":72,"props":73,"children":74},"li",{},[75],{"type":47,"value":76},"Trend: metric over time at the right grain.",{"type":42,"tag":72,"props":78,"children":79},{},[80],{"type":47,"value":81},"Comparison: current period vs prior period, release vs baseline, or segment A vs B.",{"type":42,"tag":72,"props":83,"children":84},{},[85],{"type":47,"value":86},"Distribution: percentiles, skew, tails, and outliers.",{"type":42,"tag":72,"props":88,"children":89},{},[90],{"type":47,"value":91},"Funnel: step counts, conversion rates, and drop-offs.",{"type":42,"tag":72,"props":93,"children":94},{},[95],{"type":47,"value":96},"Cohort: behavior grouped by start date, version, source, or first action.",{"type":42,"tag":72,"props":98,"children":99},{},[100],{"type":47,"value":101},"Top-N: largest contributors with share of total.",{"type":42,"tag":72,"props":103,"children":104},{},[105],{"type":47,"value":106},"Sanity check: row counts, null rates, first\u002Flast seen, duplicates, and data freshness.",{"type":42,"tag":56,"props":108,"children":110},{"id":109},"before-concluding",[111],{"type":47,"value":112},"Before concluding",{"type":42,"tag":68,"props":114,"children":115},{},[116,121,126,131,136],{"type":42,"tag":72,"props":117,"children":118},{},[119],{"type":47,"value":120},"Verify the time window and grain match the user's question.",{"type":42,"tag":72,"props":122,"children":123},{},[124],{"type":47,"value":125},"Check sample size, nulls, and whether the metric is dominated by a small tail.",{"type":42,"tag":72,"props":127,"children":128},{},[129],{"type":47,"value":130},"Look for freshness, rollout, telemetry opt-in, or version-coverage issues.",{"type":42,"tag":72,"props":132,"children":133},{},[134],{"type":47,"value":135},"Avoid causal language unless the query design supports causality.",{"type":42,"tag":72,"props":137,"children":138},{},[139],{"type":47,"value":140},"If the result is surprising, run or propose one validation query before presenting it as fact.",{"type":42,"tag":56,"props":142,"children":144},{"id":143},"finding-format",[145],{"type":47,"value":146},"Finding format",{"type":42,"tag":148,"props":149,"children":154},"pre",{"className":150,"code":151,"language":152,"meta":153,"style":153},"language-md shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","Finding: ...\nEvidence: ...\nConfidence: High\u002FMedium\u002FLow because ...\nCaveats: ...\nRecommended next check: ...\n","md","",[155],{"type":42,"tag":156,"props":157,"children":158},"code",{"__ignoreMap":153},[159,171,180,189,197],{"type":42,"tag":160,"props":161,"children":164},"span",{"class":162,"line":163},"line",1,[165],{"type":42,"tag":160,"props":166,"children":168},{"style":167},"--shiki-light:#90A4AE;--shiki-default:#EEFFFF;--shiki-dark:#BABED8",[169],{"type":47,"value":170},"Finding: ...\n",{"type":42,"tag":160,"props":172,"children":174},{"class":162,"line":173},2,[175],{"type":42,"tag":160,"props":176,"children":177},{"style":167},[178],{"type":47,"value":179},"Evidence: ...\n",{"type":42,"tag":160,"props":181,"children":183},{"class":162,"line":182},3,[184],{"type":42,"tag":160,"props":185,"children":186},{"style":167},[187],{"type":47,"value":188},"Confidence: High\u002FMedium\u002FLow because ...\n",{"type":42,"tag":160,"props":190,"children":191},{"class":162,"line":29},[192],{"type":42,"tag":160,"props":193,"children":194},{"style":167},[195],{"type":47,"value":196},"Caveats: ...\n",{"type":42,"tag":160,"props":198,"children":200},{"class":162,"line":199},5,[201],{"type":42,"tag":160,"props":202,"children":203},{"style":167},[204],{"type":47,"value":205},"Recommended next check: ...\n",{"type":42,"tag":207,"props":208,"children":209},"style",{},[210],{"type":47,"value":211},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":213,"total":400},[214,233,253,260,277,293,312,324,336,354,374,387],{"slug":215,"name":215,"fn":216,"description":217,"org":218,"tags":219,"stars":25,"repoUrl":26,"updatedAt":232},"amazon-location-service","integrate Amazon Location Service APIs","Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or static images); geocode addresses to coordinates or reverse geocode coordinates to addresses; calculate routes, travel times, or service areas; find places and businesses through text search, nearby search, or autocomplete suggestions; retrieve detailed place information including hours, contacts, and addresses; monitor geographical boundaries with geofences; or track device locations. Covers authentication, SDK integration, and all Amazon Location Service capabilities.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[220,223,226,229],{"name":221,"slug":222,"type":15},"API Development","api-development",{"name":224,"slug":225,"type":15},"AWS","aws",{"name":227,"slug":228,"type":15},"Maps","maps",{"name":230,"slug":231,"type":15},"Navigation","navigation","2026-07-12T08:13:53.294026",{"slug":234,"name":234,"fn":235,"description":236,"org":237,"tags":238,"stars":25,"repoUrl":26,"updatedAt":252},"amplify-workflow","build full-stack apps with AWS Amplify","Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync\u002FDynamoDB including schema modeling, enum types, relationships, authorization rules), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always use this skill for Amplify Gen2 topics — even for questions you think you know — it contains validated, version-specific patterns that prevent common mistakes. TRIGGER when: user mentions Amplify Gen2; project has amplify\u002F directory or amplify_outputs; code imports @aws-amplify packages; user asks about defineBackend, defineAuth, defineData, defineStorage, or npx ampx. SKIP: Amplify Gen1 (amplify CLI v6), standalone SAM\u002FCDK without Amplify (use aws-serverless), direct Bedrock without Amplify AI Kit (use bedrock).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[239,242,243,246,249],{"name":240,"slug":241,"type":15},"Auth","auth",{"name":224,"slug":225,"type":15},{"name":244,"slug":245,"type":15},"Database","database",{"name":247,"slug":248,"type":15},"Frontend","frontend",{"name":250,"slug":251,"type":15},"TypeScript","typescript","2026-07-12T08:13:47.134012",{"slug":4,"name":4,"fn":5,"description":6,"org":254,"tags":255,"stars":25,"repoUrl":26,"updatedAt":27},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[256,257,258,259],{"name":20,"slug":21,"type":15},{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":23,"slug":24,"type":15},{"slug":261,"name":261,"fn":262,"description":263,"org":264,"tags":265,"stars":25,"repoUrl":26,"updatedAt":276},"artifact-management","manage and organize analysis artifacts","Save, organize, and describe reusable analysis artifacts such as SQL, result snapshots, CSV exports, summaries, caveats, plots, and report-ready files. Use when users ask to save, export, share, cite, reproduce, or organize data-analysis outputs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[266,267,270,273],{"name":17,"slug":18,"type":15},{"name":268,"slug":269,"type":15},"Productivity","productivity",{"name":271,"slug":272,"type":15},"Reporting","reporting",{"name":274,"slug":275,"type":15},"SQL","sql","2026-07-12T08:14:09.265555",{"slug":278,"name":278,"fn":279,"description":280,"org":281,"tags":282,"stars":25,"repoUrl":26,"updatedAt":292},"attorney-assist","connect with attorneys for legal consultation","Connects the user with a LegalZoom attorney for legal consultation. Use when a user asks about attorneys, lawyers, or legal help, or when contract review reveals high risks or low-confidence findings.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[283,286,289],{"name":284,"slug":285,"type":15},"Contracts","contracts",{"name":287,"slug":288,"type":15},"Legal","legal",{"name":290,"slug":291,"type":15},"Risk Assessment","risk-assessment","2026-07-12T08:13:45.878361",{"slug":294,"name":294,"fn":295,"description":296,"org":297,"tags":298,"stars":25,"repoUrl":26,"updatedAt":311},"building-pydantic-ai-agents","build AI agents with Pydantic AI","Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add tools\u002Fcapabilities, defer capability loading, stream output, define agents from YAML, or test agent behavior.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[299,302,305,308],{"name":300,"slug":301,"type":15},"Agents","agents",{"name":303,"slug":304,"type":15},"LLM","llm",{"name":306,"slug":307,"type":15},"Multi-Agent","multi-agent",{"name":309,"slug":310,"type":15},"Python","python","2026-07-12T08:14:01.893781",{"slug":14,"name":14,"fn":313,"description":314,"org":315,"tags":316,"stars":25,"repoUrl":26,"updatedAt":323},"query ClickHouse databases via CLI","Connect to and query ClickHouse (a local server or a ClickHouse Cloud service) from the terminal using the official clickhousectl CLI, including the browser OAuth login flow. Use when the user wants to run SQL against ClickHouse, explore schemas and tables, inspect Cloud services, or authenticate clickhousectl. For building a local dev environment or deploying to Cloud, defer to the official ClickHouse skills (see Scope).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[317,318,321,322],{"name":20,"slug":21,"type":15},{"name":319,"slug":320,"type":15},"CLI","cli",{"name":13,"slug":14,"type":15},{"name":244,"slug":245,"type":15},"2026-07-12T08:14:06.829692",{"slug":325,"name":325,"fn":326,"description":327,"org":328,"tags":329,"stars":25,"repoUrl":26,"updatedAt":335},"cline-session-history","search and browse Cline session history","Search and browse Cline session history. Use when the user asks to find, list, inspect, or export Cline sessions by time period, prompt content, status, model, provider, source, mode, workspace, or other criteria. Also use when the user wants to read a session transcript or export sessions to a directory. Trigger phrases include \"find my session\", \"search my session history\", \"show me past sessions\", \"what was that session where\", \"find the session that started with\", and any mention of past Cline conversations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[330,331,334],{"name":300,"slug":301,"type":15},{"name":332,"slug":333,"type":15},"History","history",{"name":268,"slug":269,"type":15},"2026-07-19T06:03:13.945151",{"slug":337,"name":337,"fn":338,"description":339,"org":340,"tags":341,"stars":25,"repoUrl":26,"updatedAt":353},"convex-design","build reactive backends with Convex","Design and build reactive, type-safe, production-grade backends on Convex. Covers schema, queries\u002Fmutations\u002Factions, indexes, auth, file storage, scheduling, real-time multiplayer, mobile backends, and LLM\u002Fagent workflows on Convex's one-platform stack.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[342,343,346,347,350],{"name":240,"slug":241,"type":15},{"name":344,"slug":345,"type":15},"Backend","backend",{"name":244,"slug":245,"type":15},{"name":348,"slug":349,"type":15},"Real-time","real-time",{"name":351,"slug":352,"type":15},"Storage","storage","2026-07-12T08:13:37.101253",{"slug":355,"name":355,"fn":356,"description":357,"org":358,"tags":359,"stars":25,"repoUrl":26,"updatedAt":373},"cosmosdb-best-practices","optimize Azure Cosmos DB performance","Azure Cosmos DB performance optimization and best practices guidelines for NoSQL,\npartitioning, queries, SDK usage, and vector search. Use when writing, reviewing,\nor refactoring code that interacts with Azure Cosmos DB, designing data models,\noptimizing queries, or implementing high-performance database operations.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[360,363,366,367,370],{"name":361,"slug":362,"type":15},"Azure","azure",{"name":364,"slug":365,"type":15},"Cosmos DB","cosmos-db",{"name":244,"slug":245,"type":15},{"name":368,"slug":369,"type":15},"NoSQL","nosql",{"name":371,"slug":372,"type":15},"Performance","performance","2026-07-12T08:13:54.531719",{"slug":375,"name":375,"fn":376,"description":377,"org":378,"tags":379,"stars":25,"repoUrl":26,"updatedAt":386},"data-analyst","analyze ClickHouse analytics data","Act as an interactive data analyst for ClickHouse-backed analytics. Use when the user asks questions about internal data, metrics, dashboards, telemetry, active users, revenue, funnels, trends, distributions, or wants an analyst-style conversation, ad hoc SQL, charts, or a data export against ClickHouse (local or ClickHouse Cloud).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[380,381,382,385],{"name":20,"slug":21,"type":15},{"name":13,"slug":14,"type":15},{"name":383,"slug":384,"type":15},"Dashboards","dashboards",{"name":17,"slug":18,"type":15},"2026-07-12T08:13:31.975246",{"slug":388,"name":388,"fn":389,"description":390,"org":391,"tags":392,"stars":25,"repoUrl":26,"updatedAt":399},"dataproc-skills","manage Dataproc clusters and jobs","Skills to interact with your Dataproc clusters and jobs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[393,396],{"name":394,"slug":395,"type":15},"Data Engineering","data-engineering",{"name":397,"slug":398,"type":15},"Operations","operations","2026-07-12T08:13:42.179275",45,{"items":402,"total":452},[403,410,418,425,432,438,445],{"slug":215,"name":215,"fn":216,"description":217,"org":404,"tags":405,"stars":25,"repoUrl":26,"updatedAt":232},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[406,407,408,409],{"name":221,"slug":222,"type":15},{"name":224,"slug":225,"type":15},{"name":227,"slug":228,"type":15},{"name":230,"slug":231,"type":15},{"slug":234,"name":234,"fn":235,"description":236,"org":411,"tags":412,"stars":25,"repoUrl":26,"updatedAt":252},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[413,414,415,416,417],{"name":240,"slug":241,"type":15},{"name":224,"slug":225,"type":15},{"name":244,"slug":245,"type":15},{"name":247,"slug":248,"type":15},{"name":250,"slug":251,"type":15},{"slug":4,"name":4,"fn":5,"description":6,"org":419,"tags":420,"stars":25,"repoUrl":26,"updatedAt":27},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[421,422,423,424],{"name":20,"slug":21,"type":15},{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":23,"slug":24,"type":15},{"slug":261,"name":261,"fn":262,"description":263,"org":426,"tags":427,"stars":25,"repoUrl":26,"updatedAt":276},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[428,429,430,431],{"name":17,"slug":18,"type":15},{"name":268,"slug":269,"type":15},{"name":271,"slug":272,"type":15},{"name":274,"slug":275,"type":15},{"slug":278,"name":278,"fn":279,"description":280,"org":433,"tags":434,"stars":25,"repoUrl":26,"updatedAt":292},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[435,436,437],{"name":284,"slug":285,"type":15},{"name":287,"slug":288,"type":15},{"name":290,"slug":291,"type":15},{"slug":294,"name":294,"fn":295,"description":296,"org":439,"tags":440,"stars":25,"repoUrl":26,"updatedAt":311},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[441,442,443,444],{"name":300,"slug":301,"type":15},{"name":303,"slug":304,"type":15},{"name":306,"slug":307,"type":15},{"name":309,"slug":310,"type":15},{"slug":14,"name":14,"fn":313,"description":314,"org":446,"tags":447,"stars":25,"repoUrl":26,"updatedAt":323},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[448,449,450,451],{"name":20,"slug":21,"type":15},{"name":319,"slug":320,"type":15},{"name":13,"slug":14,"type":15},{"name":244,"slug":245,"type":15},43]