Individual skill

omh-data-pipelines

[omh] Data pipeline work -- an ETL or streaming job, a backfill or replay, duplicate events, a schema change downstream, a lineage question, a data-quality regression: make every rerun idempotent, bound every replay, and gate each load on observed checks. Use when the user says: data-pipelines, data pipeline, data pipelines, etl, elt, etl pipeline, etl job, etl backfill.

agent-skills/omh-data-pipelines/SKILL.md

Read pinned source

Source commit 98284f305f6a9dce6e36a1580c9f333105f1a950

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 9, 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)
5,471
Repository last updated
Nov 11, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Data Pipelines

This is an OMH `data-pipelines` workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

## Why This Exists

`data-pipelines` exists because pipeline work had no owner: `backend` owns a service's schema migration, `data-analysis` analyzes data it is handed, and `relational-db` owns a database's locks and indexes, while a backfill that duplicated events or a schema change with unknown readers reached memory and event lanes with no idempotency contract or replay bound at all.

## First Steps

- Ask what makes a row unique at the sink before planning any rerun.
- Bound the window and the targets before ordering any replay or backfill step.

## Do Not Use When
Back to top