Individual skill
data-pipeline-builder
Designs and builds ETL/ELT data pipelines. Takes data sources, destination, transformation requirements. Generates pipeline code (Python/SQL), scheduling config, error handling, monitoring setup, and data quality checks. Outputs data-pipeline-spec.md + implementation files.
data-pipeline-builder/SKILL.md
Source commit b2267d9171af4f56848d82992381b20b89b44056
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 10, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 423
- Repository last updated
- Oct 20, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- developer-tools Repository topic
- llm Repository topic
- prompt-engineering Repository topic
- sales-automation Repository topic
- data Derived category
- data-databases Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 4,144 bytesreferences/orchestration-config.mddoc · 11,458 bytesreferences/project-structure.mddoc · 3,150 bytesreferences/python-patterns.mddoc · 12,762 bytesreferences/quality-checks.mddoc · 9,445 bytesreferences/spec-template.mddoc · 2,881 bytes
Read excerpt
# Data Pipeline Builder
Design and implement production-grade ETL/ELT data pipelines: take data sources, a destination, and transformation requirements, then produce a complete pipeline specification plus all implementation files needed to run it.
## Contents
- `references/project-structure.md` -- output file layout, architecture pattern selection, component selection.
- `references/python-patterns.md` -- Python code standards and base extractor/transformer/loader/retry patterns.
- `references/quality-checks.md` -- composable data quality check framework and built-in checks.
- `references/orchestration-config.md` -- Airflow DAG, pipeline config YAML, and monitoring/alerting patterns.
- `references/spec-template.md` -- the `data-pipeline-spec.md` output template.
## Workflow
