# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

- Search: append `?q=<keywords>` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README.
- Filter by type: append `?type=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions
- Filter by tag: append `?tag=<tag>` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags

Tagged `sql`, `data-analysis`: 14 items.

- [DuckDB](https://hebbmind.com/ko/cli/duckdb.md): [CLI] In-process analytical SQL database. Its CLI queries CSV, Parquet and JSON files directly with SQL, no import or server needed, so agents can sample and aggregate large files. Officially maintained.
- [Data](https://hebbmind.com/ko/plugin/data.md): [Plugin] Data analysis plugin: writes queries in each SQL dialect, explores datasets, runs statistical tests, charts with Python and builds interactive HTML dashboards, then reviews methods and conclusions before sharing. Connects to Snowflake, BigQuery and other warehouses. Official from Anthropic.
- [SQL Queries](https://hebbmind.com/ko/skill/sql-queries.md): [Skill] Anthropic's official data skill that guides agents to write, translate and optimize SQL across Snowflake, BigQuery, Databricks, PostgreSQL and other warehouse dialects, including CTEs, window functions and analytical aggregations.
- [BigQuery Basics](https://hebbmind.com/ko/skill/bigquery-basics.md): [Skill] Manages BigQuery datasets, tables and jobs with the bq and gcloud CLIs, runs SQL queries and loads data, with references for client libraries, MCP and Terraform. Google's official skill; requires a Google Cloud project.
- [Datasette](https://hebbmind.com/ko/cli/datasette.md): [CLI] Publishes SQLite databases as browsable, queryable web pages and JSON APIs, with SQL queries, metadata and plugins, and deploys to Cloud Run and other platforms with datasette publish. Great for data exploration and data journalism. Needs Python 3.10+.
- [Steampipe](https://hebbmind.com/ko/cli/steampipe.md): [CLI] Query cloud resources and SaaS APIs live with SQL: plugins map AWS, Azure, GCP, GitHub, Kubernetes and other services to tables you can select from directly, no ETL needed. A single binary with Postgres built in.
- [Jupyter Notebooks](https://hebbmind.com/ko/skill/jupyter-notebook.md): [Skill] Creates, edits and validates reproducible Python and SQL Jupyter notebooks: organizes cells as reports or tutorials, checks conclusions against actual output and reruns top to bottom before handoff. Maintained by OpenAI in the Data Analytics plugin of openai/plugins.
- [sqlite-utils](https://hebbmind.com/ko/cli/sqlite-utils.md): [CLI] A CLI and Python library by Simon Willison: imports JSON and CSV straight into SQLite with automatic table creation, runs in-memory SQL queries over files, and supports full-text search and table transformations.
- [ClickHouse MCP Server](https://hebbmind.com/ko/mcp/mcp-clickhouse.md): [MCP] Runs SQL queries against ClickHouse and browses databases and table schemas, read-only by default; can also enable embedded chDB to query data directly in files and URLs. Maintained by ClickHouse.
- [dbt Agent Skills](https://hebbmind.com/ko/plugin/dbt-agent-skills.md): [Plugin] dbt Labs' official plugin marketplace with dbt and dbt-migration plugins: write models and unit tests, build semantic-layer metrics, govern with dbt Mesh, debug failed jobs, and handle version upgrades and cross-platform migrations. Most skills need an existing dbt project.
- [DuckDB Skills](https://hebbmind.com/ko/skill/duckdb-skills.md): [Skill] Official DuckDB skills: query local or S3 CSV, Parquet, Excel and JSON files with SQL or plain language, attach databases, convert formats, analyze spatial data and look up documentation. Needs the DuckDB CLI; tested only on macOS and Linux.
- [dbt MCP Server](https://hebbmind.com/ko/mcp/dbt-mcp.md): [MCP] Lets agents read dbt project models, lineage and Semantic Layer metrics, run build, run and test commands, and call the dbt platform Discovery and Admin APIs. Maintained by dbt Labs; Semantic Layer and platform tools need a dbt platform account.
- [Apache Doris MCP Server](https://hebbmind.com/ko/mcp/doris-mcp-server.md): [MCP] Apache Doris's official MCP: gives agents read-only access to explore table metadata, run and explain SQL, diagnose slow queries, and check cluster status, load jobs and data governance info. Needs Python 3.12+ and Doris 2.0 or later.
- [Google Ads API Developer Assistant](https://hebbmind.com/ko/plugin/google-ads-api-developer-assistant.md): [Plugin] Official Google Ads API assistant: ask in plain language, generate and validate GAQL queries, run them to export account data to CSV, and debug offline conversion uploads. Account-changing code is generated, not run. Needs a developer token, credentials file and Python 3.10+.
