data-engineering SKILL.md skillA
data-engineering from d-padmanabhan/agent-engineering-handbook is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add d-padmanabhan/agent-engineering-handbook/data-engineering@git:20260819.d23bb73Pins git:20260819.d23bb73 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- d-padmanabhan/agent-engineering-handbook
- Path
skills/data-engineering/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260819.d23bb73, committed Aug 19, 2026
- First version recorded
- Mar 19, 2026
- Size
- 3,235 bytes
- Repository stars
- 20
- License
- MIT
Data engineering workflows for designing and reviewing batch/streaming pipelines across Databricks, Snowflake, Confluent Kafka, and Teradata (contracts, backfills, quality, governance, cost, observability). Use when the user mentions data engineering, ETL/ELT, lakehouse/warehouse, Kafka, Databricks, Snowflake, or Teradata.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Data Engineering
## Scope
Use this skill to:
- Review data pipeline PRs (batch or streaming)
- Design new datasets, ingestion pipelines, and transformations
- Plan backfills/replays safely
- Apply platform-specific guidance for Databricks, Snowflake, Confluent Kafka, and Teradata
- Route cross-service Outbox/Inbox and Saga consistency design to the distributed transactions skill (`${HANDBOOK_ROOT}/skills/distributed-transactions/SKILL.md`)
## Core principles (defaults)
- **Idempotent**: safe to re-run for a given window/offset
- **Contract-driven**: schema + semantics + SLA are explicit
- **Observable**: each run emits counts, timings, and progress/watermarks
- **Governed**: least privilege, masking/row filtering for sensitive data
- **Cost-aware**: incremental + pruning by default; avoid full scans
## Quick start: PR review workflow (local)
1. Determine base branch (usually `main`).
2. Collect git facts:
```bash
git branch --show-current
git log main..HEAD --oneline
git diff --name-status main...HEAD
git diff --numstat main...HEAD
git diff main...HEAD
```
1. Review using the structure below.
### Review output format
…Read the whole file at its exact version.
How to install
mdr add d-padmanabhan/agent-engineering-handbook/data-engineering@sha256:397d2c16a9586017The line at the top of this page pins the label git:20260819.d23bb73, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_savpzhuyxcnmtfkz)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Mar 19, 2026 and Aug 19, 2026, about one every 76 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260819.d23bb73 latest | 2026-08-19 | d23bb73 | 3,235 B | A | view · diff |
| git:20260812.4160717 | 2026-08-12 | 4160717 | 3,335 B | A | view · diff |
| git:20260319.d6da533 | 2026-03-19 | d6da533 | 2,983 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3235 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
d-padmanabhan/agent-engineering-handbook · 20 stars · license MIT · pushed 2026-10-30 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_savpzhuyxcnmtfkz GET https://markdownregistry.com/api/v1/resolve?ref=d-padmanabhan/agent-engineering-handbook/data-engineering GET https://markdownregistry.com/api/v1/blob/397d2c16a958601757a3b5d7e3e865f15df5c399e0dc5066c65d0e6ef7875ba2
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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