[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-duckdb-spatial":3,"mdc-6v5f6n-key":35,"related-org-duckdb-spatial":694,"related-repo-duckdb-spatial":808},{"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":33,"mdContent":34},"spatial","query spatial data with DuckDB","Answer questions about spatial data using DuckDB. Use when the user mentions locations, coordinates, lat\u002Flng, distances, maps, addresses, \"near\", \"within\", \"closest\", geographic names, or spatial file formats (GeoJSON, Shapefile, GeoPackage, GPX, GeoParquet). Also triggers when the user wants to find places, buildings, or roads — Overture Maps provides free global data on S3 with zero API keys. Handles spatial joins, distance calculations, containment checks, density analysis, and format conversions for geographic data.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"duckdb","DuckDB","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fduckdb.jpg",[12,16,19,22],{"name":13,"slug":14,"type":15},"Data Analysis","data-analysis","tag",{"name":17,"slug":18,"type":15},"Database","database",{"name":20,"slug":21,"type":15},"SQL","sql",{"name":23,"slug":24,"type":15},"Maps","maps",510,"https:\u002F\u002Fgithub.com\u002Fduckdb\u002Fduckdb-skills","2026-07-12T07:54:32.004105",null,25,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":28},[],"https:\u002F\u002Fgithub.com\u002Fduckdb\u002Fduckdb-skills\u002Ftree\u002FHEAD\u002Fskills\u002Fspatial","---\nname: spatial\ndescription: >\n  Answer questions about spatial data using DuckDB. Use when the user mentions locations,\n  coordinates, lat\u002Flng, distances, maps, addresses, \"near\", \"within\", \"closest\", geographic\n  names, or spatial file formats (GeoJSON, Shapefile, GeoPackage, GPX, GeoParquet). Also\n  triggers when the user wants to find places, buildings, or roads — Overture Maps provides\n  free global data on S3 with zero API keys. Handles spatial joins, distance calculations,\n  containment checks, density analysis, and format conversions for geographic data.\nargument-hint: \u003Cquestion or file> [additional context]\nallowed-tools: Bash\n---\n\nYou are answering spatial questions using DuckDB's spatial extension and, when needed, Overture Maps as a free global data source.\n\nQuestion or file: `$0`\nAdditional context: `${1:-}`\n\n## Step 1 — Understand what the user needs\n\nClassify the question:\n\n| Pattern | Data source | Key functions |\n|---------|-------------|---------------|\n| \"Find X near Y\" (no user file) | Overture Maps on S3 | `ST_Distance_Spheroid`, bbox filtering |\n| \"How far between A and B\" | Geocode or user data | `ST_Distance_Spheroid` |\n| \"Which points fall inside polygons\" | User files | `ST_Contains` |\n| \"Analyze this GeoJSON\u002FShapefile\u002FGPX\" | User file | `ST_Read`, measurement functions |\n| \"Show density\u002Fhotspots\" | User or Overture data | H3 hex binning |\n| \"Convert to GeoJSON\u002FGeoPackage\" | User file | `COPY TO (FORMAT GDAL)` |\n| \"Count buildings\u002Froads in area\" | Overture Maps | bbox filtering + aggregation |\n\nIf the question involves real-world places, POIs, buildings, roads, or boundaries and the user hasn't provided a file, use **Overture Maps** — read `references\u002Foverture.md` for S3 paths and schema.\n\nFor spatial function syntax, read `references\u002Ffunctions.md`.\n\n## Step 2 — Write and run the query\n\nAlways start with:\n```sql\nLOAD spatial;\nSET geometry_always_xy = true;\n```\n\nAdd extensions as needed:\n- Overture\u002Fremote data: `LOAD httpfs; CREATE SECRET (TYPE S3, PROVIDER config, REGION 'us-west-2');`\n- H3 hex binning: `INSTALL h3 FROM community; LOAD h3;`\n\n### Key principles\n\n**bbox filtering first** — When querying Overture, always filter on `bbox.xmin\u002Fxmax\u002Fymin\u002Fymax` before any spatial function. This uses Parquet predicate pushdown and avoids downloading the full dataset.\n\n**Always set `geometry_always_xy = true`** — This ensures all spatial functions interpret coordinates as longitude, latitude (the standard for Overture, GeoJSON, and most data sources). Without it, spheroid functions assume latitude first and return wrong results.\n\n**Use spheroid functions for real-world distances** — `ST_Distance_Spheroid` returns meters on the WGS84 ellipsoid. Plain `ST_Distance` uses planar coordinates and gives meaningless results for lat\u002Flng. **Important:** spheroid functions (`ST_Distance_Spheroid`, `ST_Area_Spheroid`, etc.) require `POINT_2D` inputs, not generic `GEOMETRY`. Overture geometry columns are typed `GEOMETRY('OGC:CRS84')` and cannot be cast directly. Extract coordinates first:\n```sql\nST_Point(ST_X(geometry), ST_Y(geometry))::POINT_2D\n```\n\n**CSV with lat\u002Flng needs conversion** — `ST_Point(longitude, latitude)` (longitude first). This is the most common gotcha.\n\nRun the query in a single bash call:\n\n```bash\nduckdb -c \"\nLOAD spatial;\n\u003CADDITIONAL_SETUP>\n\u003CYOUR_QUERY>\n\"\n```\n\n## Step 3 — Present results\n\n- For tabular results: show the data directly\n- For spatial results: consider exporting to GeoJSON for visualization (`COPY TO 'result.geojson' WITH (FORMAT GDAL, DRIVER 'GeoJSON')`)\n- For distance\u002Farea results: use human-readable units (km for large distances, m for small)\n- For density\u002Fhotspot results: describe the pattern and offer to export for visualization\n\nIf the query fails:\n- **`duckdb: command not found`** → delegate to `\u002Fduckdb-skills:install-duckdb`\n- **Missing extension** → `INSTALL spatial; LOAD spatial;` or `INSTALL h3 FROM community; LOAD h3;`\n- **S3 access denied** → suggest checking AWS credentials\n- **No results with Overture** → widen the bbox, check the category spelling, or try a broader search\n",{"data":36,"body":39},{"name":4,"description":6,"argument-hint":37,"allowed-tools":38},"\u003Cquestion or file> [additional context]","Bash",{"type":40,"children":41},"root",[42,50,70,77,82,263,283,296,302,307,337,342,369,376,394,410,481,495,512,517,580,586,617,622,688],{"type":43,"tag":44,"props":45,"children":46},"element","p",{},[47],{"type":48,"value":49},"text","You are answering spatial questions using DuckDB's spatial extension and, when needed, Overture Maps as a free global data source.",{"type":43,"tag":44,"props":51,"children":52},{},[53,55,62,64],{"type":48,"value":54},"Question or file: ",{"type":43,"tag":56,"props":57,"children":59},"code",{"className":58},[],[60],{"type":48,"value":61},"$0",{"type":48,"value":63},"\nAdditional context: ",{"type":43,"tag":56,"props":65,"children":67},{"className":66},[],[68],{"type":48,"value":69},"${1:-}",{"type":43,"tag":71,"props":72,"children":74},"h2",{"id":73},"step-1-understand-what-the-user-needs",[75],{"type":48,"value":76},"Step 1 — Understand what the user needs",{"type":43,"tag":44,"props":78,"children":79},{},[80],{"type":48,"value":81},"Classify the question:",{"type":43,"tag":83,"props":84,"children":85},"table",{},[86,110],{"type":43,"tag":87,"props":88,"children":89},"thead",{},[90],{"type":43,"tag":91,"props":92,"children":93},"tr",{},[94,100,105],{"type":43,"tag":95,"props":96,"children":97},"th",{},[98],{"type":48,"value":99},"Pattern",{"type":43,"tag":95,"props":101,"children":102},{},[103],{"type":48,"value":104},"Data source",{"type":43,"tag":95,"props":106,"children":107},{},[108],{"type":48,"value":109},"Key functions",{"type":43,"tag":111,"props":112,"children":113},"tbody",{},[114,139,160,182,206,224,245],{"type":43,"tag":91,"props":115,"children":116},{},[117,123,128],{"type":43,"tag":118,"props":119,"children":120},"td",{},[121],{"type":48,"value":122},"\"Find X near Y\" (no user file)",{"type":43,"tag":118,"props":124,"children":125},{},[126],{"type":48,"value":127},"Overture Maps on S3",{"type":43,"tag":118,"props":129,"children":130},{},[131,137],{"type":43,"tag":56,"props":132,"children":134},{"className":133},[],[135],{"type":48,"value":136},"ST_Distance_Spheroid",{"type":48,"value":138},", bbox filtering",{"type":43,"tag":91,"props":140,"children":141},{},[142,147,152],{"type":43,"tag":118,"props":143,"children":144},{},[145],{"type":48,"value":146},"\"How far between A and B\"",{"type":43,"tag":118,"props":148,"children":149},{},[150],{"type":48,"value":151},"Geocode or user data",{"type":43,"tag":118,"props":153,"children":154},{},[155],{"type":43,"tag":56,"props":156,"children":158},{"className":157},[],[159],{"type":48,"value":136},{"type":43,"tag":91,"props":161,"children":162},{},[163,168,173],{"type":43,"tag":118,"props":164,"children":165},{},[166],{"type":48,"value":167},"\"Which points fall inside polygons\"",{"type":43,"tag":118,"props":169,"children":170},{},[171],{"type":48,"value":172},"User files",{"type":43,"tag":118,"props":174,"children":175},{},[176],{"type":43,"tag":56,"props":177,"children":179},{"className":178},[],[180],{"type":48,"value":181},"ST_Contains",{"type":43,"tag":91,"props":183,"children":184},{},[185,190,195],{"type":43,"tag":118,"props":186,"children":187},{},[188],{"type":48,"value":189},"\"Analyze this GeoJSON\u002FShapefile\u002FGPX\"",{"type":43,"tag":118,"props":191,"children":192},{},[193],{"type":48,"value":194},"User file",{"type":43,"tag":118,"props":196,"children":197},{},[198,204],{"type":43,"tag":56,"props":199,"children":201},{"className":200},[],[202],{"type":48,"value":203},"ST_Read",{"type":48,"value":205},", measurement functions",{"type":43,"tag":91,"props":207,"children":208},{},[209,214,219],{"type":43,"tag":118,"props":210,"children":211},{},[212],{"type":48,"value":213},"\"Show density\u002Fhotspots\"",{"type":43,"tag":118,"props":215,"children":216},{},[217],{"type":48,"value":218},"User or Overture data",{"type":43,"tag":118,"props":220,"children":221},{},[222],{"type":48,"value":223},"H3 hex binning",{"type":43,"tag":91,"props":225,"children":226},{},[227,232,236],{"type":43,"tag":118,"props":228,"children":229},{},[230],{"type":48,"value":231},"\"Convert to GeoJSON\u002FGeoPackage\"",{"type":43,"tag":118,"props":233,"children":234},{},[235],{"type":48,"value":194},{"type":43,"tag":118,"props":237,"children":238},{},[239],{"type":43,"tag":56,"props":240,"children":242},{"className":241},[],[243],{"type":48,"value":244},"COPY TO (FORMAT GDAL)",{"type":43,"tag":91,"props":246,"children":247},{},[248,253,258],{"type":43,"tag":118,"props":249,"children":250},{},[251],{"type":48,"value":252},"\"Count buildings\u002Froads in area\"",{"type":43,"tag":118,"props":254,"children":255},{},[256],{"type":48,"value":257},"Overture Maps",{"type":43,"tag":118,"props":259,"children":260},{},[261],{"type":48,"value":262},"bbox filtering + aggregation",{"type":43,"tag":44,"props":264,"children":265},{},[266,268,273,275,281],{"type":48,"value":267},"If the question involves real-world places, POIs, buildings, roads, or boundaries and the user hasn't provided a file, use ",{"type":43,"tag":269,"props":270,"children":271},"strong",{},[272],{"type":48,"value":257},{"type":48,"value":274}," — read ",{"type":43,"tag":56,"props":276,"children":278},{"className":277},[],[279],{"type":48,"value":280},"references\u002Foverture.md",{"type":48,"value":282}," for S3 paths and schema.",{"type":43,"tag":44,"props":284,"children":285},{},[286,288,294],{"type":48,"value":287},"For spatial function syntax, read ",{"type":43,"tag":56,"props":289,"children":291},{"className":290},[],[292],{"type":48,"value":293},"references\u002Ffunctions.md",{"type":48,"value":295},".",{"type":43,"tag":71,"props":297,"children":299},{"id":298},"step-2-write-and-run-the-query",[300],{"type":48,"value":301},"Step 2 — Write and run the query",{"type":43,"tag":44,"props":303,"children":304},{},[305],{"type":48,"value":306},"Always start with:",{"type":43,"tag":308,"props":309,"children":313},"pre",{"className":310,"code":311,"language":21,"meta":312,"style":312},"language-sql shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","LOAD spatial;\nSET geometry_always_xy = true;\n","",[314],{"type":43,"tag":56,"props":315,"children":316},{"__ignoreMap":312},[317,328],{"type":43,"tag":318,"props":319,"children":322},"span",{"class":320,"line":321},"line",1,[323],{"type":43,"tag":318,"props":324,"children":325},{},[326],{"type":48,"value":327},"LOAD spatial;\n",{"type":43,"tag":318,"props":329,"children":331},{"class":320,"line":330},2,[332],{"type":43,"tag":318,"props":333,"children":334},{},[335],{"type":48,"value":336},"SET geometry_always_xy = true;\n",{"type":43,"tag":44,"props":338,"children":339},{},[340],{"type":48,"value":341},"Add extensions as needed:",{"type":43,"tag":343,"props":344,"children":345},"ul",{},[346,358],{"type":43,"tag":347,"props":348,"children":349},"li",{},[350,352],{"type":48,"value":351},"Overture\u002Fremote data: ",{"type":43,"tag":56,"props":353,"children":355},{"className":354},[],[356],{"type":48,"value":357},"LOAD httpfs; CREATE SECRET (TYPE S3, PROVIDER config, REGION 'us-west-2');",{"type":43,"tag":347,"props":359,"children":360},{},[361,363],{"type":48,"value":362},"H3 hex binning: ",{"type":43,"tag":56,"props":364,"children":366},{"className":365},[],[367],{"type":48,"value":368},"INSTALL h3 FROM community; LOAD h3;",{"type":43,"tag":370,"props":371,"children":373},"h3",{"id":372},"key-principles",[374],{"type":48,"value":375},"Key principles",{"type":43,"tag":44,"props":377,"children":378},{},[379,384,386,392],{"type":43,"tag":269,"props":380,"children":381},{},[382],{"type":48,"value":383},"bbox filtering first",{"type":48,"value":385}," — When querying Overture, always filter on ",{"type":43,"tag":56,"props":387,"children":389},{"className":388},[],[390],{"type":48,"value":391},"bbox.xmin\u002Fxmax\u002Fymin\u002Fymax",{"type":48,"value":393}," before any spatial function. This uses Parquet predicate pushdown and avoids downloading the full dataset.",{"type":43,"tag":44,"props":395,"children":396},{},[397,408],{"type":43,"tag":269,"props":398,"children":399},{},[400,402],{"type":48,"value":401},"Always set ",{"type":43,"tag":56,"props":403,"children":405},{"className":404},[],[406],{"type":48,"value":407},"geometry_always_xy = true",{"type":48,"value":409}," — This ensures all spatial functions interpret coordinates as longitude, latitude (the standard for Overture, GeoJSON, and most data sources). Without it, spheroid functions assume latitude first and return wrong results.",{"type":43,"tag":44,"props":411,"children":412},{},[413,418,420,425,427,433,435,440,442,447,449,455,457,463,465,471,473,479],{"type":43,"tag":269,"props":414,"children":415},{},[416],{"type":48,"value":417},"Use spheroid functions for real-world distances",{"type":48,"value":419}," — ",{"type":43,"tag":56,"props":421,"children":423},{"className":422},[],[424],{"type":48,"value":136},{"type":48,"value":426}," returns meters on the WGS84 ellipsoid. Plain ",{"type":43,"tag":56,"props":428,"children":430},{"className":429},[],[431],{"type":48,"value":432},"ST_Distance",{"type":48,"value":434}," uses planar coordinates and gives meaningless results for lat\u002Flng. ",{"type":43,"tag":269,"props":436,"children":437},{},[438],{"type":48,"value":439},"Important:",{"type":48,"value":441}," spheroid functions (",{"type":43,"tag":56,"props":443,"children":445},{"className":444},[],[446],{"type":48,"value":136},{"type":48,"value":448},", ",{"type":43,"tag":56,"props":450,"children":452},{"className":451},[],[453],{"type":48,"value":454},"ST_Area_Spheroid",{"type":48,"value":456},", etc.) require ",{"type":43,"tag":56,"props":458,"children":460},{"className":459},[],[461],{"type":48,"value":462},"POINT_2D",{"type":48,"value":464}," inputs, not generic ",{"type":43,"tag":56,"props":466,"children":468},{"className":467},[],[469],{"type":48,"value":470},"GEOMETRY",{"type":48,"value":472},". Overture geometry columns are typed ",{"type":43,"tag":56,"props":474,"children":476},{"className":475},[],[477],{"type":48,"value":478},"GEOMETRY('OGC:CRS84')",{"type":48,"value":480}," and cannot be cast directly. Extract coordinates first:",{"type":43,"tag":308,"props":482,"children":484},{"className":310,"code":483,"language":21,"meta":312,"style":312},"ST_Point(ST_X(geometry), ST_Y(geometry))::POINT_2D\n",[485],{"type":43,"tag":56,"props":486,"children":487},{"__ignoreMap":312},[488],{"type":43,"tag":318,"props":489,"children":490},{"class":320,"line":321},[491],{"type":43,"tag":318,"props":492,"children":493},{},[494],{"type":48,"value":483},{"type":43,"tag":44,"props":496,"children":497},{},[498,503,504,510],{"type":43,"tag":269,"props":499,"children":500},{},[501],{"type":48,"value":502},"CSV with lat\u002Flng needs conversion",{"type":48,"value":419},{"type":43,"tag":56,"props":505,"children":507},{"className":506},[],[508],{"type":48,"value":509},"ST_Point(longitude, latitude)",{"type":48,"value":511}," (longitude first). This is the most common gotcha.",{"type":43,"tag":44,"props":513,"children":514},{},[515],{"type":48,"value":516},"Run the query in a single bash call:",{"type":43,"tag":308,"props":518,"children":522},{"className":519,"code":520,"language":521,"meta":312,"style":312},"language-bash shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","duckdb -c \"\nLOAD spatial;\n\u003CADDITIONAL_SETUP>\n\u003CYOUR_QUERY>\n\"\n","bash",[523],{"type":43,"tag":56,"props":524,"children":525},{"__ignoreMap":312},[526,546,553,562,571],{"type":43,"tag":318,"props":527,"children":528},{"class":320,"line":321},[529,534,540],{"type":43,"tag":318,"props":530,"children":532},{"style":531},"--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B",[533],{"type":48,"value":8},{"type":43,"tag":318,"props":535,"children":537},{"style":536},"--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D",[538],{"type":48,"value":539}," -c",{"type":43,"tag":318,"props":541,"children":543},{"style":542},"--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF",[544],{"type":48,"value":545}," \"\n",{"type":43,"tag":318,"props":547,"children":548},{"class":320,"line":330},[549],{"type":43,"tag":318,"props":550,"children":551},{"style":536},[552],{"type":48,"value":327},{"type":43,"tag":318,"props":554,"children":556},{"class":320,"line":555},3,[557],{"type":43,"tag":318,"props":558,"children":559},{"style":536},[560],{"type":48,"value":561},"\u003CADDITIONAL_SETUP>\n",{"type":43,"tag":318,"props":563,"children":565},{"class":320,"line":564},4,[566],{"type":43,"tag":318,"props":567,"children":568},{"style":536},[569],{"type":48,"value":570},"\u003CYOUR_QUERY>\n",{"type":43,"tag":318,"props":572,"children":574},{"class":320,"line":573},5,[575],{"type":43,"tag":318,"props":576,"children":577},{"style":542},[578],{"type":48,"value":579},"\"\n",{"type":43,"tag":71,"props":581,"children":583},{"id":582},"step-3-present-results",[584],{"type":48,"value":585},"Step 3 — Present results",{"type":43,"tag":343,"props":587,"children":588},{},[589,594,607,612],{"type":43,"tag":347,"props":590,"children":591},{},[592],{"type":48,"value":593},"For tabular results: show the data directly",{"type":43,"tag":347,"props":595,"children":596},{},[597,599,605],{"type":48,"value":598},"For spatial results: consider exporting to GeoJSON for visualization (",{"type":43,"tag":56,"props":600,"children":602},{"className":601},[],[603],{"type":48,"value":604},"COPY TO 'result.geojson' WITH (FORMAT GDAL, DRIVER 'GeoJSON')",{"type":48,"value":606},")",{"type":43,"tag":347,"props":608,"children":609},{},[610],{"type":48,"value":611},"For distance\u002Farea results: use human-readable units (km for large distances, m for small)",{"type":43,"tag":347,"props":613,"children":614},{},[615],{"type":48,"value":616},"For density\u002Fhotspot results: describe the pattern and offer to export for visualization",{"type":43,"tag":44,"props":618,"children":619},{},[620],{"type":48,"value":621},"If the query fails:",{"type":43,"tag":343,"props":623,"children":624},{},[625,645,668,678],{"type":43,"tag":347,"props":626,"children":627},{},[628,637,639],{"type":43,"tag":269,"props":629,"children":630},{},[631],{"type":43,"tag":56,"props":632,"children":634},{"className":633},[],[635],{"type":48,"value":636},"duckdb: command not found",{"type":48,"value":638}," → delegate to ",{"type":43,"tag":56,"props":640,"children":642},{"className":641},[],[643],{"type":48,"value":644},"\u002Fduckdb-skills:install-duckdb",{"type":43,"tag":347,"props":646,"children":647},{},[648,653,655,661,663],{"type":43,"tag":269,"props":649,"children":650},{},[651],{"type":48,"value":652},"Missing extension",{"type":48,"value":654}," → ",{"type":43,"tag":56,"props":656,"children":658},{"className":657},[],[659],{"type":48,"value":660},"INSTALL spatial; LOAD spatial;",{"type":48,"value":662}," or ",{"type":43,"tag":56,"props":664,"children":666},{"className":665},[],[667],{"type":48,"value":368},{"type":43,"tag":347,"props":669,"children":670},{},[671,676],{"type":43,"tag":269,"props":672,"children":673},{},[674],{"type":48,"value":675},"S3 access denied",{"type":48,"value":677}," → suggest checking AWS credentials",{"type":43,"tag":347,"props":679,"children":680},{},[681,686],{"type":43,"tag":269,"props":682,"children":683},{},[684],{"type":48,"value":685},"No results with Overture",{"type":48,"value":687}," → widen the bbox, check the category spelling, or try a broader search",{"type":43,"tag":689,"props":690,"children":691},"style",{},[692],{"type":48,"value":693},"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":695,"total":807},[696,706,723,739,750,760,773,787,800],{"slug":697,"name":697,"fn":698,"description":699,"org":700,"tags":701,"stars":25,"repoUrl":26,"updatedAt":705},"attach-db","attach DuckDB database files for querying","Attach a DuckDB database file for use with \u002Fduckdb-skills:query. Explores the schema (tables, columns, row counts) and writes a SQL state file so subsequent queries can restore this session automatically via duckdb -init.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[702,703,704],{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},"2026-07-12T07:54:35.248848",{"slug":707,"name":707,"fn":708,"description":709,"org":710,"tags":711,"stars":25,"repoUrl":26,"updatedAt":722},"convert-file","convert data files between formats","Convert any data file to another format: CSV, Parquet, JSON, Excel, GeoJSON, and more. Use when the user says \"convert to parquet\", \"save as xlsx\", \"export as JSON\", \"make this a CSV\", \"turn into parquet\", or any variation of format-to-format conversion for data files. Also triggers when the user wants to write Parquet, Excel, or other binary formats that Claude cannot produce natively.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[712,713,716,719],{"name":13,"slug":14,"type":15},{"name":714,"slug":715,"type":15},"Data Engineering","data-engineering",{"name":717,"slug":718,"type":15},"Excel","excel",{"name":720,"slug":721,"type":15},"Spreadsheets","spreadsheets","2026-07-12T07:54:39.62274",{"slug":724,"name":724,"fn":725,"description":726,"org":727,"tags":728,"stars":25,"repoUrl":26,"updatedAt":738},"duckdb-docs","search DuckDB documentation and blog posts","Search DuckDB and DuckLake documentation and blog posts. Returns relevant doc chunks for a question or keyword using full-text search against a locally cached index.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[729,732,735],{"name":730,"slug":731,"type":15},"Documentation","documentation",{"name":733,"slug":734,"type":15},"Research","research",{"name":736,"slug":737,"type":15},"Search","search","2026-07-12T07:54:38.216517",{"slug":740,"name":740,"fn":741,"description":742,"org":743,"tags":744,"stars":25,"repoUrl":26,"updatedAt":749},"install-duckdb","install and update DuckDB extensions","Install or update DuckDB extensions. Each argument is either a plain extension name (installs from core) or name@repo (e.g. magic@community). Pass --update to update extensions instead of installing.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[745,746],{"name":17,"slug":18,"type":15},{"name":747,"slug":748,"type":15},"Engineering","engineering","2026-07-12T07:54:42.330952",{"slug":751,"name":751,"fn":752,"description":753,"org":754,"tags":755,"stars":25,"repoUrl":26,"updatedAt":759},"query","run SQL queries against DuckDB","Run SQL queries against the attached DuckDB database or ad-hoc against files. Accepts raw SQL or natural language questions. Uses DuckDB Friendly SQL idioms.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[756,757,758],{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},"2026-07-12T07:54:28.352759",{"slug":761,"name":761,"fn":762,"description":763,"org":764,"tags":765,"stars":25,"repoUrl":26,"updatedAt":772},"read-file","read and profile data files","Read any data file (CSV, JSON, Parquet, Avro, Excel, spatial, SQLite) or remote URL (S3, HTTPS). Use when user references a data file, asks \"what's in this file\", or wants to preview\u002Fprofile a dataset. Not for source code.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[766,767,770,771],{"name":13,"slug":14,"type":15},{"name":768,"slug":769,"type":15},"Data Quality","data-quality",{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},"2026-07-12T07:54:33.514298",{"slug":774,"name":774,"fn":775,"description":776,"org":777,"tags":778,"stars":25,"repoUrl":26,"updatedAt":786},"read-memories","recall past Claude Code session logs","Search past Claude Code session logs to recall prior decisions, patterns, or unresolved work. Use when user says \"do you remember\", \"what did we do\", references past conversations, or you need context from prior sessions.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[779,782,785],{"name":780,"slug":781,"type":15},"Claude Code","claude-code",{"name":783,"slug":784,"type":15},"Memory","memory",{"name":736,"slug":737,"type":15},"2026-07-12T07:54:40.860856",{"slug":788,"name":788,"fn":789,"description":790,"org":791,"tags":792,"stars":25,"repoUrl":26,"updatedAt":799},"s3-explore","explore and query remote storage data","Explore and query data on S3, Cloudflare R2, GCS, MinIO, or any S3-compatible storage. Use when the user mentions an s3:\u002F\u002F, r2:\u002F\u002F, gs:\u002F\u002F, or gcs:\u002F\u002F URL, asks \"what's in this bucket\", wants to list remote files, preview remote Parquet\u002FCSV\u002FJSON, or query data on object storage without downloading it. Also triggers when the user wants to know the size, schema, or row count of remote datasets.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[793,796,797,798],{"name":794,"slug":795,"type":15},"Cloud","cloud",{"name":714,"slug":715,"type":15},{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},"2026-07-12T07:54:36.928868",{"slug":4,"name":4,"fn":5,"description":6,"org":801,"tags":802,"stars":25,"repoUrl":26,"updatedAt":27},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[803,804,805,806],{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":23,"slug":24,"type":15},{"name":20,"slug":21,"type":15},9,{"items":809,"total":807},[810,816,823,829,834,840,847],{"slug":697,"name":697,"fn":698,"description":699,"org":811,"tags":812,"stars":25,"repoUrl":26,"updatedAt":705},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[813,814,815],{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"slug":707,"name":707,"fn":708,"description":709,"org":817,"tags":818,"stars":25,"repoUrl":26,"updatedAt":722},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[819,820,821,822],{"name":13,"slug":14,"type":15},{"name":714,"slug":715,"type":15},{"name":717,"slug":718,"type":15},{"name":720,"slug":721,"type":15},{"slug":724,"name":724,"fn":725,"description":726,"org":824,"tags":825,"stars":25,"repoUrl":26,"updatedAt":738},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[826,827,828],{"name":730,"slug":731,"type":15},{"name":733,"slug":734,"type":15},{"name":736,"slug":737,"type":15},{"slug":740,"name":740,"fn":741,"description":742,"org":830,"tags":831,"stars":25,"repoUrl":26,"updatedAt":749},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[832,833],{"name":17,"slug":18,"type":15},{"name":747,"slug":748,"type":15},{"slug":751,"name":751,"fn":752,"description":753,"org":835,"tags":836,"stars":25,"repoUrl":26,"updatedAt":759},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[837,838,839],{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"slug":761,"name":761,"fn":762,"description":763,"org":841,"tags":842,"stars":25,"repoUrl":26,"updatedAt":772},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[843,844,845,846],{"name":13,"slug":14,"type":15},{"name":768,"slug":769,"type":15},{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"slug":774,"name":774,"fn":775,"description":776,"org":848,"tags":849,"stars":25,"repoUrl":26,"updatedAt":786},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[850,851,852],{"name":780,"slug":781,"type":15},{"name":783,"slug":784,"type":15},{"name":736,"slug":737,"type":15}]