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Also triggers when the user wants to know the size, schema, or row count\n  of remote datasets.\nargument-hint: \u003Cs3-url> [question about the data]\nallowed-tools: Bash\n---\n\nYou are helping the user explore data on remote object storage using DuckDB.\n\nURL: `$0`\nQuestion: `${1:-list and describe what's there}`\n\n## Step 1 — Detect provider and set up credentials\n\nBased on the URL or user context, prepend the appropriate secret configuration:\n\n| Provider | URL patterns | Secret setup |\n|---|---|---|\n| **AWS S3** | `s3:\u002F\u002F` | `CREATE SECRET (TYPE S3, PROVIDER credential_chain);` |\n| **Cloudflare R2** | `r2:\u002F\u002F`, `s3:\u002F\u002F` with R2 endpoint | `CREATE SECRET (TYPE R2, PROVIDER credential_chain);` |\n| **GCS** | `gs:\u002F\u002F`, `gcs:\u002F\u002F` | `CREATE SECRET (TYPE GCS, PROVIDER credential_chain);` |\n| **MinIO \u002F custom** | `s3:\u002F\u002F` with custom endpoint | `CREATE SECRET (TYPE S3, KEY_ID '...', SECRET '...', ENDPOINT '...', USE_SSL true);` |\n\nFor R2, if the user provides an account ID, the endpoint is `\u003Caccount_id>.r2.cloudflarestorage.com`. R2 URLs like `r2:\u002F\u002Fbucket\u002Fpath` should be rewritten to `s3:\u002F\u002Fbucket\u002Fpath` with the R2 secret.\n\nFor public buckets (e.g., Overture Maps, AWS open data), no secret is needed — skip this step.\n\nAlways prepend:\n```sql\nLOAD httpfs;\n```\n\n## Step 2 — Determine what the URL points to\n\nIf the URL looks like a **directory or bucket** (no file extension, or ends with `\u002F`), list its contents with sizes:\n\n```bash\nduckdb -c \"\nLOAD httpfs;\n\u003CSECRET_SETUP>\nSELECT filename, (size \u002F 1024 \u002F 1024)::DECIMAL(10,1) AS size_mb, last_modified\nFROM read_blob('\u003CURL>\u002F*')\nORDER BY filename\nLIMIT 50;\n\"\n```\n\nNote: only select `filename`, `size`, `last_modified` — never select `content`, which would download the actual files.\n\nIf the URL points to a **specific file or glob pattern** (has a file extension or contains `*`), preview it:\n\n```bash\nduckdb -c \"\nLOAD httpfs;\n\u003CSECRET_SETUP>\nDESCRIBE FROM '\u003CURL>';\nSELECT count(*) AS row_count FROM '\u003CURL>';\nFROM '\u003CURL>' LIMIT 20;\n\"\n```\n\nFor **Parquet files**, get row counts and sizes from metadata (no data download):\n\n```bash\nduckdb -c \"\nLOAD httpfs;\n\u003CSECRET_SETUP>\nSELECT file_name,\n       sum(row_group_num_rows) AS total_rows,\n       (sum(row_group_compressed_bytes) \u002F 1024 \u002F 1024)::DECIMAL(10,1) AS compressed_mb\nFROM parquet_metadata('\u003CURL>')\nGROUP BY file_name;\n\"\n```\n\n## Step 3 — Answer the question\n\nUsing the listing, schema, or sample data, answer:\n\n`${1:-list and describe what's there}`\n\nIf the user asks an analytical question (e.g., \"how many rows match X\"), write and run the appropriate SQL query. 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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},[750,753,754],{"name":751,"slug":752,"type":15},"Data Analysis","data-analysis",{"name":17,"slug":18,"type":15},{"name":23,"slug":24,"type":15},"2026-07-12T07:54:35.248848",{"slug":757,"name":757,"fn":758,"description":759,"org":760,"tags":761,"stars":25,"repoUrl":26,"updatedAt":770},"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},[762,763,764,767],{"name":751,"slug":752,"type":15},{"name":13,"slug":14,"type":15},{"name":765,"slug":766,"type":15},"Excel","excel",{"name":768,"slug":769,"type":15},"Spreadsheets","spreadsheets","2026-07-12T07:54:39.62274",{"slug":772,"name":772,"fn":773,"description":774,"org":775,"tags":776,"stars":25,"repoUrl":26,"updatedAt":786},"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},[777,780,783],{"name":778,"slug":779,"type":15},"Documentation","documentation",{"name":781,"slug":782,"type":15},"Research","research",{"name":784,"slug":785,"type":15},"Search","search","2026-07-12T07:54:38.216517",{"slug":788,"name":788,"fn":789,"description":790,"org":791,"tags":792,"stars":25,"repoUrl":26,"updatedAt":797},"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},[793,794],{"name":17,"slug":18,"type":15},{"name":795,"slug":796,"type":15},"Engineering","engineering","2026-07-12T07:54:42.330952",{"slug":799,"name":799,"fn":800,"description":801,"org":802,"tags":803,"stars":25,"repoUrl":26,"updatedAt":807},"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},[804,805,806],{"name":751,"slug":752,"type":15},{"name":17,"slug":18,"type":15},{"name":23,"slug":24,"type":15},"2026-07-12T07:54:28.352759",{"slug":809,"name":809,"fn":810,"description":811,"org":812,"tags":813,"stars":25,"repoUrl":26,"updatedAt":820},"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},[814,815,818,819],{"name":751,"slug":752,"type":15},{"name":816,"slug":817,"type":15},"Data Quality","data-quality",{"name":17,"slug":18,"type":15},{"name":23,"slug":24,"type":15},"2026-07-12T07:54:33.514298",{"slug":822,"name":822,"fn":823,"description":824,"org":825,"tags":826,"stars":25,"repoUrl":26,"updatedAt":834},"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},[827,830,833],{"name":828,"slug":829,"type":15},"Claude Code","claude-code",{"name":831,"slug":832,"type":15},"Memory","memory",{"name":784,"slug":785,"type":15},"2026-07-12T07:54:40.860856",{"slug":4,"name":4,"fn":5,"description":6,"org":836,"tags":837,"stars":25,"repoUrl":26,"updatedAt":27},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[838,839,840,841],{"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":843,"name":843,"fn":844,"description":845,"org":846,"tags":847,"stars":25,"repoUrl":26,"updatedAt":854},"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},[848,849,850,853],{"name":751,"slug":752,"type":15},{"name":17,"slug":18,"type":15},{"name":851,"slug":852,"type":15},"Maps","maps",{"name":23,"slug":24,"type":15},"2026-07-12T07:54:32.004105",{"items":856,"total":637},[857,863,870,876,881,887,894],{"slug":745,"name":745,"fn":746,"description":747,"org":858,"tags":859,"stars":25,"repoUrl":26,"updatedAt":755},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[860,861,862],{"name":751,"slug":752,"type":15},{"name":17,"slug":18,"type":15},{"name":23,"slug":24,"type":15},{"slug":757,"name":757,"fn":758,"description":759,"org":864,"tags":865,"stars":25,"repoUrl":26,"updatedAt":770},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[866,867,868,869],{"name":751,"slug":752,"type":15},{"name":13,"slug":14,"type":15},{"name":765,"slug":766,"type":15},{"name":768,"slug":769,"type":15},{"slug":772,"name":772,"fn":773,"description":774,"org":871,"tags":872,"stars":25,"repoUrl":26,"updatedAt":786},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[873,874,875],{"name":778,"slug":779,"type":15},{"name":781,"slug":782,"type":15},{"name":784,"slug":785,"type":15},{"slug":788,"name":788,"fn":789,"description":790,"org":877,"tags":878,"stars":25,"repoUrl":26,"updatedAt":797},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[879,880],{"name":17,"slug":18,"type":15},{"name":795,"slug":796,"type":15},{"slug":799,"name":799,"fn":800,"description":801,"org":882,"tags":883,"stars":25,"repoUrl":26,"updatedAt":807},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[884,885,886],{"name":751,"slug":752,"type":15},{"name":17,"slug":18,"type":15},{"name":23,"slug":24,"type":15},{"slug":809,"name":809,"fn":810,"description":811,"org":888,"tags":889,"stars":25,"repoUrl":26,"updatedAt":820},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[890,891,892,893],{"name":751,"slug":752,"type":15},{"name":816,"slug":817,"type":15},{"name":17,"slug":18,"type":15},{"name":23,"slug":24,"type":15},{"slug":822,"name":822,"fn":823,"description":824,"org":895,"tags":896,"stars":25,"repoUrl":26,"updatedAt":834},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[897,898,899],{"name":828,"slug":829,"type":15},{"name":831,"slug":832,"type":15},{"name":784,"slug":785,"type":15}]