ワンクリックで
attach-db
// Attach a DuckDB database file for use with /duckdb-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.
// Attach a DuckDB database file for use with /duckdb-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.
| name | attach-db |
| description | Attach a DuckDB database file for use with /duckdb-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. |
| argument-hint | <path-to-database.duckdb> |
| allowed-tools | Bash |
You are helping the user attach a DuckDB database file for interactive querying.
Database path given: $0
Follow these steps in order, stopping and reporting clearly if any step fails.
State file convention: see the "Resolve state directory" section below. All skills share a single state.sql file per project. Once resolved, any skill can use it with duckdb -init "$STATE_DIR/state.sql" -c "<QUERY>".
If $0 is a relative path, resolve it against $PWD to get an absolute path (RESOLVED_PATH).
RESOLVED_PATH="$(cd "$(dirname "$0")" 2>/dev/null && pwd)/$(basename "$0")"
Check the file exists:
test -f "$RESOLVED_PATH"
command -v duckdb
If not found, delegate to /duckdb-skills:install-duckdb and then continue.
duckdb "$RESOLVED_PATH" -c "PRAGMA version;"
First, list all tables:
duckdb "$RESOLVED_PATH" -csv -c "
SELECT table_name, estimated_size
FROM duckdb_tables()
ORDER BY table_name;
"
If the database has no tables, note that it is empty and skip to Step 5.
For each table discovered (up to 20), run:
duckdb "$RESOLVED_PATH" -csv -c "
DESCRIBE <table_name>;
SELECT count() AS row_count FROM <table_name>;
"
Collect the column definitions and row counts for the summary.
Check if a state file already exists in either location:
# Option 1: in the project directory
test -f .duckdb-skills/state.sql && STATE_DIR=".duckdb-skills"
# Option 2: in the home directory, scoped by project root path
PROJECT_ROOT="$(git rev-parse --show-toplevel 2>/dev/null || echo "$PWD")"
PROJECT_ID="$(echo "$PROJECT_ROOT" | tr '/' '-')"
test -f "$HOME/.duckdb-skills/$PROJECT_ID/state.sql" && STATE_DIR="$HOME/.duckdb-skills/$PROJECT_ID"
If neither exists, ask the user:
Where would you like to store the DuckDB session state for this project?
- In the project directory (
.duckdb-skills/state.sql) — colocated with the project, easy to find. You can choose to gitignore it.- In your home directory (
~/.duckdb-skills/<project-id>/state.sql) — keeps the project directory clean.
Based on their choice:
Option 1:
STATE_DIR=".duckdb-skills"
mkdir -p "$STATE_DIR"
Then ask: "Would you like to gitignore .duckdb-skills/?" If yes:
echo '.duckdb-skills/' >> .gitignore
Option 2:
PROJECT_ROOT="$(git rev-parse --show-toplevel 2>/dev/null || echo "$PWD")"
PROJECT_ID="$(echo "$PROJECT_ROOT" | tr '/' '-')"
STATE_DIR="$HOME/.duckdb-skills/$PROJECT_ID"
mkdir -p "$STATE_DIR"
state.sql is a shared, accumulative init file used by all duckdb-skills. It may already contain macros, LOAD statements, secrets, or other ATTACH statements written by other skills. Never overwrite it — always check for duplicates and append.
Derive the database alias from the filename without extension (e.g. my_data.duckdb → my_data). Check if this ATTACH already exists:
grep -q "ATTACH.*RESOLVED_PATH" "$STATE_DIR/state.sql" 2>/dev/null
If not already present, append:
cat >> "$STATE_DIR/state.sql" <<'STATESQL'
ATTACH IF NOT EXISTS 'RESOLVED_PATH' AS my_data;
USE my_data;
STATESQL
Replace RESOLVED_PATH and my_data with the actual values. If the alias would conflict with an existing one in the file, ask the user for a name.
duckdb -init "$STATE_DIR/state.sql" -c "SHOW TABLES;"
If this fails, fix the state file and retry.
Summarize for the user:
STATE_DIR/state.sql path/duckdb-skills:queryIf the database is empty, suggest creating tables or importing data.
Explore and query data on S3, Cloudflare R2, GCS, MinIO, or any S3-compatible storage. Use when the user mentions an s3://, r2://, gs://, or gcs:// URL, asks "what's in this bucket", wants to list remote files, preview remote Parquet/CSV/JSON, 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.
Answer questions about spatial data using DuckDB. Use when the user mentions locations, coordinates, lat/lng, 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.
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.
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.
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/profile a dataset. Not for source code.
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.