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data-duckdb

Use when building or debugging pipelines that use DuckDB as the embedded analytical engine — tuning memory_limit and threads, handling larger-than-memory…

Skill by Evan-Kim2028

IndexedMIT★ 1
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/evan-kim2028-data-duckdb

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Use when building or debugging pipelines that use DuckDB as the embedded analytical engine — tuning memory_limit and threads, handling larger-than-memory queries and disk spilling, reading Parquet/CSV efficiently (predicate & projection pushdown, glob/Hive partitioning, union_by_name), writing Parquet well (PER_THREAD_OUTPUT, ROW_GROUP_SIZE, the partitioned-write temp-blowup trap), connection reuse, and EXPLAIN ANALYZE profiling. Covers DuckDB-over-Parquet and DuckDB-as-query-layer on a single node. Don't use as an OLTP/transactional application database, for cluster-scale work that genuinely exceeds one big node, or for generic SQL tutoring. For querying Iceberg tables (`iceberg_scan`, catalog reads) see data-apache-lakehouse; for serving DuckDB results over HTTP see data-api. Prefer the data hub when the right data skill is unclear or the task spans ingest→store→serve.

Use cases: spreadsheets, backend, data, writing

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/data-duckdb

What's inside

Skill name
data-duckdb
Description
Use when building or debugging pipelines that use DuckDB as the embedded analytical engine — tuning memory_limit and threads, handling larger-than-memory queries and disk spilling, reading Parquet/CSV efficiently (predicate & projection pushdown, glob/Hive partitioning, union_by_name), writing Parquet well (PER_THREAD_OUTPUT, ROW_GROUP_SIZE, the partitioned-write temp-blowup trap), connection reuse, and EXPLAIN ANALYZE profiling. Covers DuckDB-over-Parquet and DuckDB-as-query-layer on a single node. Don't use as an OLTP/transactional application database, for cluster-scale work that genuinely exceeds one big node, or for generic SQL tutoring. For querying Iceberg tables (`iceberg_scan`, catalog reads) see data-apache-lakehouse; for serving DuckDB results over HTTP see data-api. Prefer the data hub when the right data skill is unclear or the task spans ingest→store→serve.
License
MIT
Instructions
87 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: "data-duckdb" does not match folder "duckdb"

Files (2)

  • SKILL.md
  • duckdb-operations.md · references/

Read SKILL.md on GitHub

More from Evan-Kim2028/agent-skills

Signals

Stars
1
Forks
0
Open issues
0
Last commit (this folder)
Jul 10, 2026 (4 months ago)
Last release
Jun 22, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/Evan-Kim2028/agent-skills
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

data-duckdb skill. Agent Mart. https://agentmart.dev/skills/evan-kim2028-data-duckdb (last updated 2026-10-24)