[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"org-clickhouse":3,"repo-skills-v-0-3-0":134},{"org":4,"repos":53},{"slug":5,"name":6,"logoUrl":7,"githubOrg":6,"website":8,"skillCount":9,"repoCount":10,"topRepos":11,"topTags":23,"lastUpdatedAt":52},"clickhouse","ClickHouse","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fclickhouse.png","https:\u002F\u002Fclickhouse.com",12,4,[12,15,18,21],{"name":13,"skillCount":14},"ClickHouse\u002Fagent-skills",8,{"name":16,"skillCount":17},"ClickHouse\u002Fclickhouse-js",2,{"name":19,"skillCount":20},"ClickHouse\u002Fclickhouse-claude-code-plugin",1,{"name":22,"skillCount":20},"ClickHouse\u002Fclickhouse-docs",[24,25,28,31,34,37,40,43,46,49],{"slug":5,"name":6},{"slug":26,"name":27},"database","Database",{"slug":29,"name":30},"performance","Performance",{"slug":32,"name":33},"data-engineering","Data Engineering",{"slug":35,"name":36},"data-analysis","Data Analysis",{"slug":38,"name":39},"debugging","Debugging",{"slug":41,"name":42},"deployment","Deployment",{"slug":44,"name":45},"infrastructure","Infrastructure",{"slug":47,"name":48},"observability","Observability",{"slug":50,"name":51},"postgresql","PostgreSQL","2026-07-28T06:06:07.151976",[54,70,96,111],{"name":55,"fullName":13,"repoUrl":56,"skillCount":14,"stars":57,"forks":58,"description":59,"topics":60,"topTags":62,"topTagCount":69,"lastUpdatedAt":52},"agent-skills","https:\u002F\u002Fgithub.com\u002FClickHouse\u002Fagent-skills",493,32,"The official Agent Skills for ClickHouse and ClickHouse Cloud",[61,5],"agents",[63,64,65,66,67,68],{"slug":5,"name":6},{"slug":26,"name":27},{"slug":29,"name":30},{"slug":32,"name":33},{"slug":35,"name":36},{"slug":41,"name":42},21,{"name":71,"fullName":16,"repoUrl":72,"skillCount":17,"stars":73,"forks":74,"description":75,"topics":76,"topTags":83,"topTagCount":94,"lastUpdatedAt":95},"clickhouse-js","https:\u002F\u002Fgithub.com\u002FClickHouse\u002Fclickhouse-js",321,62,"Official JS client for ClickHouse DB",[5,77,78,79,80,81,82],"http","https","javascript","nodejs","streaming","typescript",[84,85,88,89,90,93],{"slug":5,"name":6},{"slug":86,"name":87},"backend","Backend",{"slug":26,"name":27},{"slug":38,"name":39},{"slug":91,"name":92},"node-js","Node.js",{"slug":80,"name":92},7,"2026-05-06T05:41:40.923776",{"name":97,"fullName":19,"repoUrl":98,"skillCount":20,"stars":10,"forks":20,"description":99,"topics":100,"topTags":101,"topTagCount":10,"lastUpdatedAt":110},"clickhouse-claude-code-plugin","https:\u002F\u002Fgithub.com\u002FClickHouse\u002Fclickhouse-claude-code-plugin","ClickHouse Claude Code plugin: skills (ClickHouse best practices), rules and MCP.",[],[102,103,104,107],{"slug":5,"name":6},{"slug":26,"name":27},{"slug":105,"name":106},"local-development","Local Development",{"slug":108,"name":109},"mcp","MCP","2026-04-19T04:59:29.849185",{"name":112,"fullName":22,"repoUrl":113,"skillCount":20,"stars":114,"forks":115,"description":116,"topics":117,"topTags":120,"topTagCount":132,"lastUpdatedAt":133},"clickhouse-docs","https:\u002F\u002Fgithub.com\u002FClickHouse\u002Fclickhouse-docs",196,457,"Official documentation for ClickHouse - the fastest and most resource efficient real-time data warehouse and open-source database.",[5,118,119],"documentation","guide",[121,122,125,128,129],{"slug":5,"name":6},{"slug":123,"name":124},"logs","Logs",{"slug":126,"name":127},"metrics","Metrics",{"slug":47,"name":48},{"slug":130,"name":131},"opentelemetry","OpenTelemetry",5,"2026-06-11T08:25:17.959323",{"items":135,"total":14},[136,151,165,179,193,209,227,241],{"slug":137,"name":137,"fn":138,"description":139,"org":140,"tags":141,"stars":57,"repoUrl":56,"updatedAt":150},"chdb-datastore","accelerate pandas with chDB datastore","Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake as DataFrames and joining across sources. TRIGGER when: user mentions DataFrame, parquet, csv, \"fast pandas\", \"speed up pandas\", or cross-source DataFrame joins; user imports `chdb.datastore` or `from datastore import DataStore`. SKIP this skill for raw SQL syntax (use chdb-sql instead), ClickHouse server administration, or non-Python DataStore API work.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[142,144,145,146,147],{"name":6,"slug":5,"type":143},"tag",{"name":36,"slug":35,"type":143},{"name":33,"slug":32,"type":143},{"name":30,"slug":29,"type":143},{"name":148,"slug":149,"type":143},"Python","python","2026-04-15T04:56:32.0629",{"slug":152,"name":152,"fn":153,"description":154,"org":155,"tags":156,"stars":57,"repoUrl":56,"updatedAt":164},"chdb-sql","run ClickHouse SQL queries in Python","Use when the user wants to run SQL — especially analytical SQL — on local files (parquet\u002Fcsv\u002Fjson), URLs, S3 paths, or remote databases (Postgres, MySQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake) without setting up a server. Provides chDB — embedded ClickHouse SQL in Python with 1000+ functions, Session for stateful multi-step pipelines, parametrized queries, and cross-source joins via `s3()`, `mysql()`, `postgresql()`, `iceberg()`, `deltaLake()`, `remoteSecure()` table functions. TRIGGER when: user wants SQL on parquet\u002Fcsv\u002Ffiles or across remote analytical sources; uses ClickHouse SQL features (window functions, windowFunnel, geoToH3, JSON path ops, Session, parametrized queries); imports `chdb` or calls `chdb.query()`. SKIP this skill for pandas-style DataFrame method-chaining (use chdb-datastore instead) or ClickHouse server administration.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[157,158,159,160,161],{"name":6,"slug":5,"type":143},{"name":36,"slug":35,"type":143},{"name":33,"slug":32,"type":143},{"name":148,"slug":149,"type":143},{"name":162,"slug":163,"type":143},"SQL","sql","2026-04-15T04:56:33.299509",{"slug":166,"name":166,"fn":167,"description":168,"org":169,"tags":170,"stars":57,"repoUrl":56,"updatedAt":178},"clickhouse-architecture-advisor","advise on ClickHouse architectures","MUST USE when designing ClickHouse architectures, selecting between ingestion or modeling patterns, or translating best practices into workload-specific system designs. Complements clickhouse-best-practices with decision frameworks and explicit provenance labels.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[171,174,175,176,177],{"name":172,"slug":173,"type":143},"Architecture","architecture",{"name":6,"slug":5,"type":143},{"name":33,"slug":32,"type":143},{"name":27,"slug":26,"type":143},{"name":30,"slug":29,"type":143},"2026-04-15T04:56:34.534001",{"slug":180,"name":180,"fn":181,"description":182,"org":183,"tags":184,"stars":57,"repoUrl":56,"updatedAt":192},"clickhouse-best-practices","review ClickHouse schemas and queries","MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 31 rules that MUST be checked before providing recommendations. Always read relevant rule files and cite specific rules in responses.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[185,186,189,190,191],{"name":6,"slug":5,"type":143},{"name":187,"slug":188,"type":143},"Code Review","code-review",{"name":27,"slug":26,"type":143},{"name":30,"slug":29,"type":143},{"name":162,"slug":163,"type":143},"2026-04-06T18:07:18.953931",{"slug":194,"name":194,"fn":195,"description":196,"org":197,"tags":198,"stars":57,"repoUrl":56,"updatedAt":208},"clickhouse-js-node-rowbinary","encode and decode ClickHouse RowBinary streams","Generate TypeScript\u002FJavaScript code that reads\u002Fdecodes AND writes\u002Fencodes ClickHouse RowBinary streams for the ClickHouse HTTP server. Use this skill whenever a user wants to parse or produce `RowBinary`, `RowBinaryWithNames`, or `RowBinaryWithNamesAndTypes`. Node.js only, doesn't cover browsers.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[199,202,203,204,206],{"name":200,"slug":201,"type":143},"API Development","api-development",{"name":6,"slug":5,"type":143},{"name":27,"slug":26,"type":143},{"name":205,"slug":79,"type":143},"JavaScript",{"name":207,"slug":82,"type":143},"TypeScript","2026-07-01T08:16:19.314713",{"slug":210,"name":210,"fn":211,"description":212,"org":213,"tags":214,"stars":57,"repoUrl":56,"updatedAt":226},"clickhouse-managed-postgres-rca","diagnose performance issues on ClickHouse-managed Postgres","MUST USE when investigating performance issues on a ClickHouse-managed Postgres instance. Provides an evidence-based RCA workflow that scrapes the Prometheus endpoint for system signal, pulls per-digest evidence from the Slow Query Patterns API, and recommends (does not apply) a fix.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[215,216,217,220,221,222,223],{"name":6,"slug":5,"type":143},{"name":39,"slug":38,"type":143},{"name":218,"slug":219,"type":143},"Monitoring","monitoring",{"name":48,"slug":47,"type":143},{"name":30,"slug":29,"type":143},{"name":51,"slug":50,"type":143},{"name":224,"slug":225,"type":143},"Prometheus","prometheus","2026-06-08T08:19:31.589978",{"slug":228,"name":228,"fn":229,"description":230,"org":231,"tags":232,"stars":57,"repoUrl":56,"updatedAt":240},"infra-clickhouse","manage ClickHouse server instances","Sets up and manages ClickHouse using the clickhousectl CLI — installs and runs a local ClickHouse server for development, and creates managed ClickHouse Cloud services for production (authentication, service creation, schema migration, application connection). Use when the user wants to build an application with ClickHouse, set up a local ClickHouse dev environment, create tables and start querying, deploy ClickHouse to production or ClickHouse Cloud, or migrate from a local setup to the cloud.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[233,236,237,238,239],{"name":234,"slug":235,"type":143},"CLI","cli",{"name":6,"slug":5,"type":143},{"name":27,"slug":26,"type":143},{"name":42,"slug":41,"type":143},{"name":45,"slug":44,"type":143},"2026-07-28T06:06:00.02089",{"slug":242,"name":242,"fn":243,"description":244,"org":245,"tags":246,"stars":57,"repoUrl":56,"updatedAt":52},"infra-postgres","manage PostgreSQL database instances","Sets up and manages Postgres using the clickhousectl CLI — runs a local Docker-backed Postgres for development, and creates and operates managed ClickHouse Cloud Postgres services (connections, TLS, runtime config, read replicas, failover, point-in-time restore). Use when the user wants a Postgres or PostgreSQL database for their application, a local Postgres dev environment, psql access, or a managed\u002Fproduction Postgres in ClickHouse Cloud, or mentions moving a local Postgres to production.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":6},[247,248,249,252,253],{"name":27,"slug":26,"type":143},{"name":42,"slug":41,"type":143},{"name":250,"slug":251,"type":143},"Docker","docker",{"name":45,"slug":44,"type":143},{"name":51,"slug":50,"type":143}]