spark-engineer SKILL.md skillA
spark-engineer from jahidulislamseo/antigravity-ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jahidulislamseo/antigravity-ai-skills/spark-engineer@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jahidulislamseo/antigravity-ai-skills
- Path
skills/spark-engineer/SKILL.md- Versions recorded
- 1
- Latest version
- v1.1.0, committed Sep 5, 2026
- Size
- 6,538 bytes
- Repository stars
- 4
- License
- MIT
Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure executor memory, process .parquet files, handle data partitioning, or build structured 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. ## Core Workflow 1. **Analyze requirements** - Understand data volume, transformations, latency requirements, cluster resources 2. **Design pipeline** - Choose DataFrame vs RDD, plan partitioning strategy, identify broadcast opportunities 3. **Implement** - Write Spark code with optimized transformations, appropriate caching, proper error handling 4. **Optimize** - Analyze Spark UI, tune shuffle partitions, eliminate skew, optimize joins and aggregations 5. **Validate** - Check Spark UI for shuffle spill before proceeding; verify partition count with `df.rdd.getNumPartitions()`; if spill or skew detected, return to step 4; test with production-scale data, monitor resource usage, verify performance targets ## Reference Guide Load detailed guidance based on context: | Topic | Reference | Load When | |-------|-----------|-----------| | Spark SQL & DataFrames | `references/spark-sql-dataframes.md` | DataFrame API, Spark SQL, schemas, joins, aggregations | …
Read the whole file at its exact version.
How to install
mdr add jahidulislamseo/antigravity-ai-skills/spark-engineer@sha256:5766658d6709e99dThe line at the top of this page pins the label v1.1.0, 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_l75nwejsg3cbxvp6)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 5, 2026.
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 (6538 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
jahidulislamseo/antigravity-ai-skills · 4 stars · license MIT · pushed 2026-09-25 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_l75nwejsg3cbxvp6 GET https://markdownregistry.com/api/v1/resolve?ref=jahidulislamseo/antigravity-ai-skills/spark-engineer GET https://markdownregistry.com/api/v1/blob/5766658d6709e99dcca2f3e66a76ca787332d85497fcd4cc0f78bb9aad0efc47
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 jahidulislamseo/antigravity-ai-skills
Every file in jahidulislamseo/antigravity-ai-skills