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
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- agent Repository topic
- ai Repository topic
- ai-agent Repository topic
- ai-tools Repository topic
- claude-code Repository topic
- codex Repository topic
- hermes-agent Repository topic
- hermes-skill Repository topic
- skills Repository topic
- data Derived category
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SKILL.mdcore · 8,689 bytesSKILL.mdcore · 8,689 bytesreferences/pipeline-method.mddoc · 2,587 bytes
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# 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