etl-duckdb — for Claude Code etl-duckdb, hvdc-codex-ops, community, for Claude Code, ide skills, Instructions, powershell, ExecutionPolicy, Bypass, Fail-safe

v1.0.0

About this Skill

Ideal for Data Engineering Agents requiring automated ETL pipeline validation and DuckDB database generation. Load CSV/XLSX into DuckDB with validation and an ETL markdown report

Features

Run: powershell -ExecutionPolicy Bypass -File .codex/skills/etl-duckdb/scripts/run.ps1
data/ artifacts/ops.duckdb
reports/etl report.md
If inputs missing, produce only the '以묐떒' table in reports/etl report.md and exit.
Evidence Required:

# Core Topics

macho715 macho715
[0]
[0]
Updated: 3/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
8/11
Quality Score
29
Canonical Locale
en
Detected Body Locale
en

Ideal for Data Engineering Agents requiring automated ETL pipeline validation and DuckDB database generation. Load CSV/XLSX into DuckDB with validation and an ETL markdown report

Core Value

Empowers agents to execute PowerShell scripts for ETL operations, producing comprehensive Markdown reports and DuckDB database files, leveraging input validation and data transformation pipelines with metrics like input_rows, null_cells, and duplicated_rows.

Ideal Agent Persona

Ideal for Data Engineering Agents requiring automated ETL pipeline validation and DuckDB database generation.

Capabilities Granted for etl-duckdb

Automating data transformation pipelines
Generating comprehensive ETL reports in Markdown format
Validating data quality with DuckDB output

! Prerequisites & Limits

  • Requires PowerShell execution environment
  • Dependent on input data availability for full functionality
  • Produces limited '以묐떒' table report if inputs are missing

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is etl-duckdb?

Ideal for Data Engineering Agents requiring automated ETL pipeline validation and DuckDB database generation. Load CSV/XLSX into DuckDB with validation and an ETL markdown report

How do I install etl-duckdb?

Run the command: npx killer-skills add macho715/hvdc-codex-ops/etl-duckdb. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for etl-duckdb?

Key use cases include: Automating data transformation pipelines, Generating comprehensive ETL reports in Markdown format, Validating data quality with DuckDB output.

Which IDEs are compatible with etl-duckdb?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for etl-duckdb?

Requires PowerShell execution environment. Dependent on input data availability for full functionality. Produces limited '以묐떒' table report if inputs are missing.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add macho715/hvdc-codex-ops/etl-duckdb. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use etl-duckdb immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

etl-duckdb

Install etl-duckdb, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Instructions:

  • Run: powershell -ExecutionPolicy Bypass -File .codex/skills/etl-duckdb/scripts/run.ps1
  • Output:
    • data/_artifacts/ops.duckdb
    • reports/etl_report.md Fail-safe:
  • If inputs missing, produce only the '以묐떒' table in reports/etl_report.md and exit. Evidence Required:
  • input_rows, null_cells, duplicated_rows, duckdb_written

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