engineering-standards
NewApply rigorous engineering standards when writing, refactoring, debugging, or reviewing Python, Java, or C code. Loads calibration and language-specific guidance automatically.
Summary
This skill enforces rigorous engineering standards for writing, refactoring, debugging, or reviewing Python, Java, or C code.
- It loads calibration and language-specific guidance automatically, helping developers produce production-quality code that follows best practices from Google's engineering practices and general production norms.
Overview
Engineering Standards
Inspired by Google's Engineering Practices documentation (CC-BY 3.0) and general production engineering norms. Not affiliated with or endorsed by Google. See README for attribution details.
This skill bundles several layers of engineering guidance. Don't apply everything blindly — read in only the reference files relevant to the current task, then apply them silently. Never narrate which files you're reading or that you're "loading a skill."
How to route
Step 1 — Is this worth calibrating?
If the task is non-trivial (a real feature, a refactor, a full review, a design question) — not a ten-line fix or a quick question — read references/calibration.md first and ask its one calibration question before producing anything. Skip this for small tasks or when the user has already given context (e.g. "this is a quick prototype," "this is going to prod").
Step 2 — Generation or review?
- •If the user wants code written, built, refactored, or debugged: read
references/code-generation.mdand apply it. - •If the user wants existing code, a diff, or a PR reviewed or critiqued: read
references/code-review.mdand apply it. - •If the task involves both (e.g. "write this, then review it"), read both.
Step 3 — Which language?
Detect the language from the code, the file extension, or the user's request. Read the matching reference file and apply it on top of the generation/review standards:
- •Python →
references/python-standards.md - •Java →
references/java-standards.md - •C →
references/c-standards.md
If the language isn't one of these three, just apply the generic generation/review standards — they're language-agnostic by design and already defer to whatever conventions the codebase uses.
If a single task spans multiple languages (e.g. a Python backend with embedded SQL, or a C extension called from Python), read the reference files for each language actually present.
Priority order across all layers
When guidance from different reference files conflicts, resolve it in this order:
- Correctness
- Security
- Existing codebase conventions
- Maintainability
- Readability
- Performance
- Style preferences
A language-specific idiom never overrides a higher-priority concern from the generic standards. Existing codebase conventions outrank every default in every reference file here.
Output behavior
Apply all loaded guidance silently — no preamble like "Based on the engineering-standards skill, I will..." Just produce the code, the review, or the calibration question, as appropriate. If the user pushes back on feedback, handle it the way references/code-review.md describes.
Install & Usage
mkdir -p .claude/skillsAdd the configuration to .claude/skills/engineering-standards.md
/engineering-standardsUse Cases
Usage Examples
/engineering-standards Review this Python PR for adherence to engineering best practices.
/engineering-standards Refactor this Java service to follow clean code principles.
/engineering-standards Debug this C function and apply safe memory management.
Security Audits
Frequently Asked Questions
What is engineering-standards?
This skill enforces rigorous engineering standards for writing, refactoring, debugging, or reviewing Python, Java, or C code. It loads calibration and language-specific guidance automatically, helping developers produce production-quality code that follows best practices from Google's engineering practices and general production norms.
How to install engineering-standards?
To install engineering-standards: create the skills directory (mkdir -p .claude/skills), then add the config to .claude/skills/engineering-standards.md. Finally, /engineering-standards in Claude Code.
What is engineering-standards best for?
engineering-standards is a other categorized under General. It is designed for: code-review, refactoring, python. Created by Ewanjohndennis.
What can I use engineering-standards for?
engineering-standards is useful for: Review a pull request for Python code against strict engineering standards.; Refactor a Java class to improve readability and maintainability.; Debug a C function with memory leaks and apply safe coding practices.; Write a new Python feature following production-grade guidelines.; Calibrate the skill for a high-stakes code review by answering the calibration question.; Generate a design document for a new module with engineering rigor..