[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DXG33ACN4P3NHPPVAVCQPT":3,"skill-same:01M6DXG33ACN4P3NHPPVAVCQPT":78},{"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":40,"linkOnly":41,"markdownContent":42,"markdownBody":43,"frontMatter":44,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":48,"repositoryHtmlUrl":49,"repositoryHomepageUrl":6,"ownerHtmlUrl":50,"ownerBlogUrl":51,"ownerDescription":52,"updatedAt":53,"install":54,"resources":67},"01M6DXG33ACN4P3NHPPVAVCQPT","motherduck-query",null,"Execute DuckDB SQL queries against MotherDuck databases. Use when running analytics, aggregations, transformations, or any SQL operation. Covers query best practices, CTEs, window functions, QUALIFY, and performance optimization.","cianfhoghlaim\u002Fcianfhoghlaim","cianfhoghlaim","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F57019547?v=4","01M6DWR3GAV495PYDTZSR1FZNX","Cian Mac (an Déisigh Uí) Liatháin || Deacy-Lyons","01M6DWR3N3Z768BB64XVJN0AY2",4,"MIT","https:\u002F\u002Fgithub.com\u002Fcianfhoghlaim\u002Fcianfhoghlaim\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmotherduck\u002Fmotherduck-query\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],"query","motherduck","motherduck query","performance","analytics","sql","best practices","Optimization","performance optimization","execute","use","databases","sql queries","functions","queries","duckdb","2026-11-10 10:12:30",false,"---\nname: motherduck-query\ndescription: Execute DuckDB SQL queries against MotherDuck databases. Use when running analytics, aggregations, transformations, or any SQL operation. Covers query best practices, CTEs, window functions, QUALIFY, and performance optimization.\nlicense: MIT\n---\n\n# Query MotherDuck\n\nUse this skill when executing SQL queries for analytics, aggregations, transformations, or data exploration against MotherDuck databases.\n\n## Prerequisites\n\n- An established MotherDuck connection (or an active MotherDuck MCP server)\n- Target database and tables identified\n\n## Default Posture\n\n- Write DuckDB SQL, not PostgreSQL SQL, even when using the PG endpoint.\n- Always use fully qualified `\"database\".\"schema\".\"table\"` names.\n- Preserve the intended grain of every result set; state the grain before optimizing or materializing a query.\n- Filter early, aggregate early, and prefer serving tables or summaries for repeated reads.\n- Keep SQL obvious, multi-line, and explicit about grain, filters, and output shape.\n- Treat DDL, DML, `ATTACH`, `DETACH`, recovery commands such as `CREATE SNAPSHOT`, `ALTER DATABASE ... SET SNAPSHOT`, `UNDROP DATABASE`, and lifecycle commands such as `SHUTDOWN` as writes. Use the MotherDuck MCP `query_rw` tool only when the user explicitly asks for the change and confirms it.\n- Tag long-lived integrations with `custom_user_agent` when the connection path supports it.\n\n## Workflow\n\n1. Confirm the actual tables, columns, and grain before writing SQL.\n2. Write the query in SQL first, then wrap it in Python or TypeScript only if needed.\n3. Use CTEs and DuckDB-native patterns such as `GROUP BY ALL`, `QUALIFY`, and `arg_max`.\n4. Check the plan, row count, and shape for pushdown, unnecessary sorts, or repeated raw rescans.\n5. Materialize expensive repeated queries into serving tables or light views when warranted.\n\n## Open Next\n\n- Read `references\u002FQUERY_PLAYBOOK.md` for DuckDB query patterns, exploration SQL, performance rules, common analytical shapes, and common mistakes\n\n## Related Skills\n\n- `motherduck-connect` for session setup\n- `motherduck-duckdb-sql` for syntax and function reference\n- `motherduck-explore` for understanding the source schema before writing queries\n","# Query MotherDuck\n\nUse this skill when executing SQL queries for analytics, aggregations, transformations, or data exploration against MotherDuck databases.\n\n## Prerequisites\n\n- An established MotherDuck connection (or an active MotherDuck MCP server)\n- Target database and tables identified\n\n## Default Posture\n\n- Write DuckDB SQL, not PostgreSQL SQL, even when using the PG endpoint.\n- Always use fully qualified `\"database\".\"schema\".\"table\"` names.\n- Preserve the intended grain of every result set; state the grain before optimizing or materializing a query.\n- Filter early, aggregate early, and prefer serving tables or summaries for repeated reads.\n- Keep SQL obvious, multi-line, and explicit about grain, filters, and output shape.\n- Treat DDL, DML, `ATTACH`, `DETACH`, recovery commands such as `CREATE SNAPSHOT`, `ALTER DATABASE ... SET SNAPSHOT`, `UNDROP DATABASE`, and lifecycle commands such as `SHUTDOWN` as writes. Use the MotherDuck MCP `query_rw` tool only when the user explicitly asks for the change and confirms it.\n- Tag long-lived integrations with `custom_user_agent` when the connection path supports it.\n\n## Workflow\n\n1. Confirm the actual tables, columns, and grain before writing SQL.\n2. Write the query in SQL first, then wrap it in Python or TypeScript only if needed.\n3. Use CTEs and DuckDB-native patterns such as `GROUP BY ALL`, `QUALIFY`, and `arg_max`.\n4. Check the plan, row count, and shape for pushdown, unnecessary sorts, or repeated raw rescans.\n5. Materialize expensive repeated queries into serving tables or light views when warranted.\n\n## Open Next\n\n- Read `references\u002FQUERY_PLAYBOOK.md` for DuckDB query patterns, exploration SQL, performance rules, common analytical shapes, and common mistakes\n\n## Related Skills\n\n- `motherduck-connect` for session setup\n- `motherduck-duckdb-sql` for syntax and function reference\n- `motherduck-explore` for understanding the source schema before writing queries\n",{"name":5,"license":15,"description":7},"main","5ace051462d0639f59bcc60912f4ec08c1a96772",".agents\u002Fskills\u002Fmotherduck\u002Fmotherduck-query",1,"https:\u002F\u002Fgithub.com\u002Fcianfhoghlaim\u002Fcianfhoghlaim","https:\u002F\u002Fgithub.com\u002Fcianfhoghlaim","cianfhoghlaim.ie","Irish-British teacher, mathematician, foghlaimeoir || minority-language AI researcher || Lucht Siúil ||\r\nFine Gael + Alliance Party + Liberal Democrats Member","2026-10-12 08:07:09",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add cianfhoghlaim\u002Fcianfhoghlaim --skill motherduck-query",{"tool":60,"command":61},"bunx","bunx skills add cianfhoghlaim\u002Fcianfhoghlaim --skill motherduck-query",{"tool":63,"command":64},"pnpm","pnpm dlx skills add cianfhoghlaim\u002Fcianfhoghlaim --skill motherduck-query","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcianfhoghlaim\u002Fcianfhoghlaim\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmotherduck\u002Fmotherduck-query\u002FSKILL.md",true,[68,74],{"path":69,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":72,"sourceHtmlUrl":73},"index.json","REFERENCE","参考文档",702,"https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fnetwork\u002Fcapture\u002Fzeek\u002Fdnstunnel\u002Fdetect\u002Findex.json",{"path":75,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":76,"sourceHtmlUrl":77},"references\u002FQUERY_PLAYBOOK.md",9486,"https:\u002F\u002Fgithub.com\u002Fcianfhoghlaim\u002Fcianfhoghlaim\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmotherduck\u002Fmotherduck-query\u002Freferences\u002FQUERY_PLAYBOOK.md",[79,100,118,139,163,186],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":85,"publishedAt":40},"01M6DXR6F7GB4JSD67XTX6WY4A","dagster-init","Initialize a dagster project using the create-dagster cli. Create a dagster project, uv virtual environment, and everything needed for a user to run dg dev or dg check defs successfully. (project)","https:\u002F\u002Fgithub.com\u002Fcianfhoghlaim\u002Fcianfhoghlaim\u002Fblob\u002Fmain\u002Fdocs\u002Fresearch\u002Fdagster\u002Fdagster-dspy\u002F.claude\u002Fskills\u002Fdagster-init\u002FSKILL.md",[],[86,87,88,89,90,91,92,93,94,95,96,97,98,99],"init","dagster","dagster init","run","project","uv","environment","user","initialize","check","virtual","dev","create","cli",{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":111,"publishedAt":40},"01M6DXQZ2HSP548JH2V3FQ7H2V","create-custom-dagster-component","Create a custom Dagster Component with demo mode support, realistic asset structure, and optional custom scaffolder using the dg CLI. Use this skill if there is no Component included in an existing integration or if Dagster does not have the integration.","https:\u002F\u002Fgithub.com\u002Fcianfhoghlaim\u002Fcianfhoghlaim\u002Fblob\u002Fmain\u002Fdocs\u002Fresearch\u002Fdagster\u002Fdagster-dspy\u002F.claude\u002Fskills\u002Fcreate-custom-dagster-component\u002FSKILL.md",[106],{"categoryNo":107,"categoryName":108,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[112,98,87,113,114,99,115,116,34,117],"component","create custom dagster component","support","demo","structure","integration",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":40},"01M6DXHPZMQ4VAXH9PGBK2PNNP","pydantic-ai-harness","Extend Pydantic AI agents with batteries-included capabilities from pydantic-ai-harness -- currently Code Mode, which collapses many tool calls into one sandboxed Python execution. Use when the user mentions pydantic-ai-harness, CodeMode, Monty, code mode, or tool sandboxing, when they want an agent to run agent-written Python, or when a Pydantic AI agent would benefit from orchestrating multiple tool calls in a single sandboxed script.","https:\u002F\u002Fgithub.com\u002Fcianfhoghlaim\u002Fcianfhoghlaim\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fpydantic\u002Fpydantic-ai-harness\u002FSKILL.md",[],[125,126,127,128,89,129,130,34,93,131,132,133,134,135,136,137,138],"Pydantic","harness","pydantic ai","pydantic ai harness","batteries","pydantic-ai","tool","sandboxing","execution","capabilities","code","ai agents","python","ai agent",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":149,"publishedAt":40},"01M6DXH7JE54YEHM58JY8KY2AK","building-pydantic-ai-agents","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.","https:\u002F\u002Fgithub.com\u002Fcianfhoghlaim\u002Fcianfhoghlaim\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fpydantic\u002Fbuilding-pydantic-ai-agents\u002FSKILL.md",[145,148],{"categoryNo":146,"categoryName":147,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":107,"categoryName":108,"taxonomyType":109,"taxonomyTypeDesc":110},[136,125,127,150,137,151,138,152,153,154,155,156,34,157,158,159,160,161,134,162],"building pydantic ai agents","testing","structured output","define","agent patterns","patterns","build","behavior","multi-agent","Tools","yaml","streaming","test",{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":170,"publishedAt":40},"01M6DXGCVB0WSHBQ7BSA56A12C","motherduck-share-data","Create and manage MotherDuck data shares for zero-copy, read-only data distribution. Use whenever someone wants to share a database with team members, another organization, or the public — covers CREATE SHARE, access\u002Fvisibility\u002Fupdate modes, GRANT READ ON SHARE, attaching share URLs, UPDATE SHARE, and REFRESH DATABASE.","https:\u002F\u002Fgithub.com\u002Fcianfhoghlaim\u002Fcianfhoghlaim\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmotherduck\u002Fmotherduck-share-data\u002FSKILL.md",[169],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[171,172,25,173,34,174,175,176,177,178,179,180,181,182,183,184,185,98],"share","data","motherduck share data","distribution","organization","manage","only","refresh","read","public","access","team","ZeRO","database","update",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":190,"categories":191,"keywords":192,"publishedAt":40},"01M6DXG9NMFYC72KJWQVJ1D6BZ","motherduck-security-governance","Explain MotherDuck security, governance, and access-control patterns. Use for any question about SOC 2, GDPR, compliance, data residency, regions, SSO, service accounts, token handling, tenant isolation, sharing boundaries, snapshots and recovery, or governance posture — including when a security_compliance_owner, technical_owner, or application_builder is evaluating MotherDuck.","https:\u002F\u002Fgithub.com\u002Fcianfhoghlaim\u002Fcianfhoghlaim\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmotherduck\u002Fmotherduck-security-governance\u002FSKILL.md",[],[193,194,195,25,196,197,198,181,199,200,201,202,203,172,204,205,206,207,34,208],"governance","security","motherduck security governance","sso","sharing","recovery","explain","technical","compliance","soc","gdpr","snapshots","token","control","question","builder"]