Spark Engineer
CheckedThe Spark Engineer skill helps you quickly generate and optimize Spark jobs for data processing, boosting your ETL workflows' performance.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add jeffallan/claude-skills --skill spark-engineer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
jeffallan
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned jeffallan/claude-skills at 1be15d8064.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1be15d8064
- Manifest
- skills/spark-engineer/SKILL.md
- Scanned
- 6 files, 2,867 lines
About this skill
What it does
The spark-engineer skill allows you to generate code snippets and complete programs in various programming languages. It can produce executable code, debug existing code, and explain complex coding concepts. This skill is designed to assist users with a wide range of software development tasks.
When to use it
- Need help writing a function in Python to sort a list?
- Want to understand what a particular line of JavaScript code does?
- Stuck debugging an error in your C++ program and need suggestions for fixing it?
- Looking for examples of how to implement a specific algorithm in Java?
Key capabilities
- Code generation across multiple programming languages.
- Debugging assistance for existing code.
- Explanation of complex coding concepts.
- Creation of executable programs.
Example prompts
- "Write a Python function that calculates the factorial of a number."
- "Explain what this JavaScript code does:
function foo() { ... }" - "I'm getting an error in my C++ program, can you help me debug it?"
Tips & gotchas
The skill’s effectiveness depends on providing clear and specific prompts. Be sure to specify the programming language when requesting code generation.