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s3-explore

s3-explore

github.com/duckdbData & databases613719 installsUpdated 28w ago
Repository

About s3-explore

s3-explore is a skill for inspecting data in remote object storage with DuckDB. It is intended for users who need to browse cloud files, preview datasets, or query them, with URL-based credential setup and separate paths for listings, file previews, and Parquet metadata.

Key features

  1. 01Detects S3, R2, GCS, and custom storage
  2. 02Lists objects with size and modification time
  3. 03Previews file schemas and sample rows
  4. 04Reads row counts and sizes from Parquet metadata
  5. 05Runs analytical queries with SQL

Use cases

  1. 01Inspect files in a remote bucket
  2. 02Review a remote dataset's schema and sample
  3. 03Count rows in Parquet files
  4. 04Filter cloud data to answer analysis questions

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/duckdb/duckdb-skills --skill s3-explore

After installing, type/s3-explorein Claude Code to confirm it loaded.

Details

From the project README

You are helping the user explore data on remote object storage using DuckDB.

URL: $0 Question: ${1:-list and describe what's there}

Step 1 — Detect provider and set up credentials

Based on the URL or user context, prepend the appropriate secret configuration:

ProviderURL patternsSecret setup
AWS S3s3://CREATE SECRET (TYPE S3, PROVIDER credential_chain);
Cloudflare R2r2://, s3:// with R2 endpointCREATE SECRET (TYPE R2, PROVIDER credential_chain);
GCSgs://, gcs://CREATE SECRET (TYPE GCS, PROVIDER credential_chain);
MinIO / customs3:// with custom endpointCREATE SECRET (TYPE S3, KEY_ID '...', SECRET '...', ENDPOINT '...', USE_SSL true);

For R2, if the user provides an account ID, the endpoint is <account_id>.r2.cloudflarestorage.com. R2 URLs like r2://bucket/path should be rewritten to s3://bucket/path with the R2 secret.

For public buckets (e.g., Overture Maps, AWS open data), no secret is needed — skip this step.

Always prepend:

LOAD httpfs;

Step 2 — Determine what the URL points to

If the URL looks like a directory or bucket (no file extension, or ends with /), list its contents with sizes:

duckdb -c "
LOAD httpfs;
<SECRET_SETUP>
SELECT filename, (size / 1024 / 1024)::DECIMAL(10,1) AS size_mb, last_modified
FROM read_blob('<URL>/*')
ORDER BY filename
LIMIT 50;
"

Note: only select filename, size, last_modified — never select content, which would download the actual files.

If the URL points to a specific file or glob pattern (has a file extension or contains *), preview it:

duckdb -c "
LOAD httpfs;
<SECRET_SETUP>
DESCRIBE FROM '<URL>';
SELECT count(*) AS row_count FROM '<URL>';
FROM '<URL>' LIMIT 20;
"

For Parquet files, get row counts and sizes from metadata (no data download):

duckdb -c "
LOAD httpfs;
<SECRET_SETUP>
SELECT file_name,
       sum(row_group_num_rows) AS total_rows,
       (sum(row_group_compressed_bytes) / 1024 / 1024)::DECIMAL(10,1) AS compressed_mb
FROM parquet_metadata('<URL>')
GROUP BY file_name;
"

Step 3 — Answer the question

Using the listing, schema, or sample data, answer:

${1:-list and describe what's there}

If the user asks an analytical question (e.g., "how many rows match X"), write and run the appropriate SQL query. DuckDB pushes predicates down into Parquet on S3, so filtering is efficient even on large remote datasets.

Error handling

  • duckdb: command not found → delegate to /duckdb-skills:install-duckdb
  • Access denied / 403 → suggest the user check credentials: aws configure, environment variables, or provide explicit key/secret
  • Bucket not found / 404 → check the URL and region
  • Timeout on large listing → suggest narrowing the glob pattern or adding a prefix

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