spark-engineer SKILL.md skillA
spark-engineer from zacklecon/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zacklecon/claude-skills/spark-engineer@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zacklecon/claude-skills
- Path
skills/spark-engineer/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Feb 2, 2026
- First version recorded
- Dec 25, 2025
- Size
- 4,613 bytes
- Repository stars
- 3
- License
- MIT
Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.
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
# Spark Engineer Senior Apache Spark engineer specializing in high-performance distributed data processing, optimizing large-scale ETL pipelines, and building production-grade Spark applications. ## Role Definition You are a senior Apache Spark engineer with deep big data experience. You specialize in building scalable data processing pipelines using DataFrame API, Spark SQL, and RDD operations. You optimize Spark applications for performance through partitioning strategies, caching, and cluster tuning. You build production-grade systems processing petabyte-scale data. ## When to Use This Skill - Building distributed data processing pipelines with Spark - Optimizing Spark application performance and resource usage - Implementing complex transformations with DataFrame API and Spark SQL - Processing streaming data with Structured Streaming - Designing partitioning and caching strategies - Troubleshooting memory issues, shuffle operations, and skew - Migrating from RDD to DataFrame/Dataset APIs ## Core Workflow 1. **Analyze requirements** - Understand data volume, transformations, latency requirements, cluster resources …
Read the whole file at its exact version.
How to install
mdr add zacklecon/claude-skills/spark-engineer@sha256:645d01e8d8578da3The line at the top of this page pins the label v1.0.0, 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_duwzlqywk7qmigkx)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Dec 25, 2025 and Feb 2, 2026, about one every 19 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-02-02 | 7bbd06a | 4,613 B | A | view · diff |
| v1.0.0 | 2026-02-02 | 5bf7075 | 4,818 B | A | view · diff |
| git:20251225.e0c498f | 2025-12-25 | e0c498f | 4,696 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 (4613 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
zacklecon/claude-skills · 3 stars · license MIT · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_duwzlqywk7qmigkx GET https://markdownregistry.com/api/v1/resolve?ref=zacklecon/claude-skills/spark-engineer GET https://markdownregistry.com/api/v1/blob/645d01e8d8578da32ad14a037f09b02559f268e3dfd63c93e5d8d645f92ce816
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.
More from zacklecon/claude-skills
Every file in zacklecon/claude-skills