data-pipeline
Skill0 starsChanged 4 months agoMITView on GitHub
Build or revise privacy-safe data ingestion, cleaning, joining, and feature pipelines with explicit provenance, grain, keys, null semantics, validation, and output contracts. Use for data engineering tasks involving confidential or large structured data.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- nisarth/claude-skills-storetheir own version, first seen Nov 8, 2026
- PuckAPI/claude-sports-analyticstheir own version, first seen Oct 14, 2026
- MEKXH/golemtheir own version, first seen Oct 8, 2026
- kensaurus/cursor-kenjitheir own version, first seen Oct 1, 2026
- kensaurus/skillstheir own version, first seen Oct 1, 2026
- khuynh22/agent-dev-teamtheir own version, first seen Aug 31, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- claude-office-skills/skills★ 433same name
- MEKXH/golem★ 203same name
- kensaurus/cursor-kenji★ 9same name
- kensaurus/skills★ 9same name
- khuynh22/agent-dev-team★ 9same name
- PuckAPI/claude-sports-analytics★ 3same name
- leezhuuuuu/skills★ 1same name
- nisarth/claude-skills-store★ 1same name
- samarth777/modal-skills★ 1same name
- erdcpatel/agent-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository19 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- analyzeSkill
- buildSkill
- handoffSkill
- orchestrateSkill
- plan-taskSkill
- plugin-devSkill
- reviewSkill
- verifySkill
- analyzeSkill
- buildSkill
- data-pipelineSkill
- handoffSkill
- orchestrateSkill
- plan-taskSkill
- plugin-devSkill
- reviewSkill
- verifySkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 9
Keep inputs outside version control or in the project's explicitly ignored private area.
- Distinctive: line 12
Use DuckDB or Polars for large columnar workloads when justified.
- Distinctive: line 13
Write code and schema contracts, never private data or derived datasets.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Data Pipeline
- Confirm source ownership, permitted use, availability timing, and storage boundary.
- Keep inputs outside version control or in the project's explicitly ignored private area.
- Define grain, primary keys, types, null meaning, and expected coverage before transforms.
- Validate row counts, uniqueness, joins, non-matches, ranges, and freshness at each boundary.
- Use DuckDB or Polars for large columnar workloads when justified.
- Write code and schema contracts, never private data or derived datasets.
- Record evidence and limits using the project's durable-output contract; do not fill unavailable values silently.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
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