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Use when the user wants to write SQL queries against Parquet/CSV/ JSON files, use ClickHouse table functions (mysql(), s3(), postgresql(), iceberg(), deltaLake() etc.), build stateful analytical pipelines with Session, use parametrized queries, window functions, or other advanced ClickHouse SQL features. Also use when the user explicitly mentions chdb.query(), ClickHouse SQL syntax, or wants cross-source SQL joins. Do NOT use for pandas-style DataFrame operations — use chdb-datastore instead.",{"claudeCode":12},"SKILL.md frontmatter at skills/chdb-sql/SKILL.md",[386,387,388,389,390,392,394],{"path":362,"priority":325},{"path":327,"priority":330},{"path":373,"priority":374},{"path":376,"priority":342},{"path":391,"priority":342},"references/sql-functions.md",{"path":393,"priority":342},"references/table-functions.md",{"path":380,"priority":374},{"basePath":354,"description":396,"displayName":356,"installMethods":397,"rationale":398,"selectedPaths":399,"source":331,"sourceLanguage":261,"type":250},"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.",{"claudeCode":12},"SKILL.md frontmatter at skills/clickhouse-architecture-advisor/SKILL.md",[400,401,402,404,406,408,410],{"path":362,"priority":325},{"path":327,"priority":330},{"path":403,"priority":342},"AGENTS.md",{"path":405,"priority":374},"examples/README.md",{"path":407,"priority":374},"examples/finserv-market-surveillance.md",{"path":409,"priority":374},"examples/observability-high-throughput.md",{"path":411,"priority":374},"examples/siem-security-analytics.md",{"basePath":413,"description":414,"displayName":258,"installMethods":415,"rationale":416,"selectedPaths":417,"source":331,"sourceLanguage":261,"type":250},"skills/clickhouse-best-practices","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.",{"claudeCode":12},"SKILL.md frontmatter at skills/clickhouse-best-practices/SKILL.md",[418,419,420],{"path":362,"priority":325},{"path":327,"priority":330},{"path":403,"priority":342},{"basePath":422,"description":423,"displayName":424,"installMethods":425,"rationale":426,"selectedPaths":427,"source":331,"sourceLanguage":261,"type":250},"skills/clickhouse-client-js/clickhouse-js-node-troubleshooting","Troubleshoot and resolve common issues with the ClickHouse Node.js client (@clickhouse/client). Use this skill whenever a user reports errors, unexpected behavior, or configuration questions involving the Node.js client specifically — including socket hang-up errors, Keep-Alive problems, stream handling issues, data type mismatches, read-only user restrictions, proxy/TLS setup problems, or long-running query timeouts. Trigger even when the user hasn't precisely named the issue; vague symptoms like \"my inserts keep failing\" or \"connection drops randomly\" in a Node.js context are strong signals to use this skill. Do NOT use for browser/Web client issues.\n","clickhouse-js-node-troubleshooting",{"claudeCode":12},"SKILL.md frontmatter at skills/clickhouse-client-js/clickhouse-js-node-troubleshooting/SKILL.md",[428],{"path":362,"priority":325},{"basePath":430,"description":431,"displayName":432,"installMethods":433,"rationale":434,"selectedPaths":435,"source":331,"sourceLanguage":261,"type":250},"skills/clickhousectl-cloud-deploy","Use when a user wants to deploy ClickHouse to the cloud, go to production, use ClickHouse Cloud, host a managed ClickHouse service, or migrate from a local ClickHouse setup to ClickHouse Cloud.","clickhousectl-cloud-deploy",{"claudeCode":12},"SKILL.md frontmatter at skills/clickhousectl-cloud-deploy/SKILL.md",[436],{"path":362,"priority":325},{"basePath":438,"description":439,"displayName":440,"installMethods":441,"rationale":442,"selectedPaths":443,"source":331,"sourceLanguage":261,"type":250},"skills/clickhousectl-local-dev","Use when a user wants to build an application with ClickHouse, set up a local ClickHouse development environment, install ClickHouse, create a local server, create tables, or start developing with ClickHouse. Covers the full flow from zero to a working local ClickHouse setup.","clickhousectl-local-dev",{"claudeCode":12},"SKILL.md frontmatter at skills/clickhousectl-local-dev/SKILL.md",[444],{"path":362,"priority":325},{"sources":446},[447],"manual",{"closedIssues90d":8,"description":449,"forks":236,"homepage":450,"license":243,"openIssues90d":239,"pushedAt":240,"readmeSize":234,"stars":241,"topics":451},"The official Agent Skills for ClickHouse and ClickHouse Cloud","https://clickhouse.ai",[452,215],"agents",{"classifiedAt":454,"discoverAt":455,"extractAt":456,"githubAt":456,"updatedAt":454},1778683910082,1778683905800,1778683908184,[215,220,218,221,219,217,216,214],{"evaluatedAt":459,"extractAt":291,"updatedAt":246},1778684035570,[],[462,491,520,548,576,600],{"_creationTime":463,"_id":464,"community":465,"display":466,"identity":472,"providers":476,"relations":484,"tags":487,"workflow":488},1778695548458.3613,"k17dx6tyy2yb3z5pp1vgmg46ad86nm18",{"reviewCount":8},{"description":467,"installMethods":468,"name":470,"sourceUrl":471},"Fit cognitive drift-diffusion models (Ratcliff DDM) to reaction time and accuracy data with parameter estimation (drift rate, boundary separation, non-decision time), model comparison, and parameter recovery validation. Use when modeling binary decision-making with reaction time data, estimating cognitive parameters from experimental data, comparing sequential sampling model variants, or decomposing speed-accuracy tradeoff effects into latent cognitive components.\n",{"claudeCode":469},"pjt222/agent-almanac","fit-drift-diffusion-model","https://github.com/pjt222/agent-almanac",{"basePath":473,"githubOwner":474,"githubRepo":475,"locale":261,"slug":470,"type":250},"skills/fit-drift-diffusion-model","pjt222","agent-almanac",{"evaluate":477,"extract":483},{"promptVersionExtension":207,"promptVersionScoring":208,"score":478,"tags":479,"targetMarket":280,"tier":222},100,[480,481,482,217,218],"cognitive-science","modeling","statistics",{"commitSha":282},{"parentExtensionId":485,"repoId":486},"k170h0janaa9kwn7cfgfz2ykss86mmh9","kd7aryv63z61j39n2td1aeqkvh86mh12",[480,218,481,217,482],{"evaluatedAt":489,"extractAt":490,"updatedAt":489},1778698191612,1778695548458,{"_creationTime":492,"_id":493,"community":494,"display":495,"identity":501,"providers":505,"relations":512,"tags":515,"workflow":516},1778683678500.5625,"k17a184zt843sk1j9qt1x7ah4586m0ej",{"reviewCount":8},{"description":496,"installMethods":497,"name":499,"sourceUrl":500},"DBHub MCP 服务器查询数据库指南。每当您需要通过 DBHub 的 MCP 工具（search_objects、execute_sql）来探索数据库模式、检查表或运行 SQL 查询时，请使用此技能。在任何数据库查询任务、模式探索、数据检索或通过 MCP 执行 SQL 时激活，即使用户只说“检查数据库”或“为我查找一些数据”。此技能可确保您遵循正确的先探索后查询的工作流程，而不是猜测表结构。",{"claudeCode":498},"bytebase/dbhub","DBHub Database Query Guide","https://github.com/bytebase/dbhub",{"basePath":502,"githubOwner":503,"githubRepo":504,"locale":18,"slug":504,"type":250},"skills/dbhub","bytebase","dbhub",{"evaluate":506,"extract":510},{"promptVersionExtension":207,"promptVersionScoring":208,"score":478,"tags":507,"targetMarket":280,"tier":222},[278,214,216,508,509,503],"schema","mcp",{"commitSha":282,"license":511},"MIT",{"repoId":513,"translatedFrom":514},"kd75gz890g3h6zj0xf3qtbrdjd86mpw3","k17a9cav35ya4h38sccx3r3d5d86mr2y",[503,278,509,216,508,214],{"evaluatedAt":517,"extractAt":518,"updatedAt":519},1778683601748,1778683522639,1778683678500,{"_creationTime":521,"_id":522,"community":523,"display":524,"identity":530,"providers":534,"relations":542,"tags":544,"workflow":545},1778682862751.9475,"k177bn4hpsv2417q7fvbdtwav586ny65",{"reviewCount":8},{"description":525,"installMethods":526,"name":528,"sourceUrl":529},"Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL migration, DDL operations, query plan explainability, and SQL compatibility validation. Triggers on phrases like: DSQL, Aurora DSQL, create DSQL table, DSQL schema, migrate to DSQL, distributed SQL database, serverless PostgreSQL-compatible database, DSQL query plan, DSQL EXPLAIN ANALYZE, why is my DSQL query slow.",{"claudeCode":527},"awslabs/mcp","dsql","https://github.com/awslabs/mcp",{"basePath":531,"githubOwner":532,"githubRepo":509,"locale":261,"slug":533,"type":250},"src/aurora-dsql-mcp-server/skills/dsql-skill","awslabs","dsql-skill",{"evaluate":535,"extract":541},{"promptVersionExtension":207,"promptVersionScoring":208,"score":478,"tags":536,"targetMarket":280,"tier":222},[278,214,537,538,528,539,508,216,540],"aws","aurora","migration","performance",{"commitSha":282},{"repoId":543},"kd71cq56hfddetnwspw92kb09x86mbzy",[538,537,278,528,539,540,216,508,214],{"evaluatedAt":546,"extractAt":547,"updatedAt":546},1778682978663,1778682862752,{"_creationTime":549,"_id":550,"community":551,"display":552,"identity":558,"providers":563,"relations":569,"tags":572,"workflow":573},1778696833339.6248,"k1704jzrc3jb9sv90n1mpz61hn86n2pp",{"reviewCount":8},{"description":553,"installMethods":554,"name":556,"sourceUrl":557},"Execute read-only SQL queries against multiple MySQL databases. Use when: (1) querying MySQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.",{"claudeCode":555},"sanjay3290/ai-skills","MySQL Read-Only Query Skill","https://github.com/sanjay3290/ai-skills",{"basePath":559,"githubOwner":560,"githubRepo":561,"locale":261,"slug":562,"type":250},"skills/mysql","sanjay3290","ai-skills","mysql",{"evaluate":564,"extract":568},{"promptVersionExtension":207,"promptVersionScoring":208,"score":565,"tags":566,"targetMarket":280,"tier":222},99,[214,562,278,216,567],"read-only",{"commitSha":282,"license":243},{"parentExtensionId":570,"repoId":571},"k17es37z10n1sw6t2m3f0vsydx86mnje","kd71np0fyqg23qg8w2hcfw0h0h86nkn0",[278,562,216,567,214],{"evaluatedAt":574,"extractAt":575,"updatedAt":574},1778697138135,1778696833339,{"_creationTime":577,"_id":578,"community":579,"display":580,"identity":584,"providers":586,"relations":596,"tags":597,"workflow":598},1778695548458.3975,"k17ejn0j9x7ebtqhjz56mw3fbs86mn1z",{"reviewCount":8},{"description":581,"installMethods":582,"name":583,"sourceUrl":471},"Serialize and deserialize data across common formats including JSON, XML, YAML, Protocol Buffers, MessagePack, and Apache Arrow/Parquet. Covers format selection criteria, encoding/decoding patterns, performance trade-offs, and interoperability considerations. Use when choosing a wire format for API communication, persisting structured data to disk, exchanging data between systems written in different languages, optimizing transfer size or parsing speed, or migrating from one serialization format to another.\n",{"claudeCode":469},"serialize-data-formats",{"basePath":585,"githubOwner":474,"githubRepo":475,"locale":261,"slug":583,"type":250},"skills/serialize-data-formats",{"evaluate":587,"extract":595},{"promptVersionExtension":207,"promptVersionScoring":208,"score":295,"tags":588,"targetMarket":280,"tier":222},[589,590,221,591,592,593,219,594,540],"serialization","data-formats","xml","yaml","protobuf","arrow",{"commitSha":282},{"parentExtensionId":485,"repoId":486},[594,590,221,219,540,593,589,591,592],{"evaluatedAt":599,"extractAt":490,"updatedAt":599},1778701236156,{"_creationTime":601,"_id":602,"community":603,"display":604,"identity":608,"providers":609,"relations":617,"tags":619,"workflow":620},1778684283849.9692,"k175wsyc942bfn7wf6sjvx88r986m7e9",{"reviewCount":8},{"description":605,"installMethods":606,"name":607,"sourceUrl":14},"审阅 ClickHouse 架构、查询或配置时**必须使用**。包含 31 条规则，在提供建议前**必须**进行检查。始终阅读相关规则文件并在回复中引用具体规则。",{"claudeCode":12},"ClickHouse 最佳实践",{"basePath":413,"githubOwner":215,"githubRepo":249,"locale":18,"slug":258,"type":250},{"evaluate":610,"extract":616},{"promptVersionExtension":207,"promptVersionScoring":208,"score":611,"tags":612,"targetMarket":280,"tier":615},88,[215,278,613,508,216,540,614],"optimization","data-ingestion","community",{"commitSha":282,"license":243},{"parentExtensionId":253,"repoId":287,"translatedFrom":618},"k17cwmsnj5cbb1s2zvz5waqwvx86n75w",[215,614,278,613,540,216,508],{"evaluatedAt":621,"extractAt":291,"updatedAt":622},1778684090643,1778684283850]