coding-standards

Overview of coding-standards skill

The coding-standards skill is a baseline guide for cross-project code quality decisions: naming, readability, immutability, consistency, and general review hygiene. It is the right fit when you want a shared standard before diving into framework-specific rules. If you need the coding-standards skill for a repo audit, refactor, or code review, it helps you decide what “good” looks like without overfitting to React, backend architecture, or a specific stack.

What it is best for

Use coding-standards when you need a practical floor for maintainable code: clearer names, simpler control flow, safer defaults, and fewer code smells. It is especially useful for onboarding new contributors, tightening review expectations, or aligning multiple modules in one repository.

What makes it different

This is not a full framework playbook. The coding-standards guide is intentionally broad and conservative, so it can apply across projects. That makes it useful for code review and refactoring, but not for detailed UI, API, or data-layer patterns.

When not to rely on it

If your task depends on React composition, backend service design, endpoint structure, or framework-specific conventions, use a narrower skill instead. Treat coding-standards as the shared baseline, not the final authority for specialized architecture choices.

How to Use coding-standards skill

Install and activate it correctly

Use the coding-standards install path in your workflow by adding the skill to the repo context first, then letting it shape review or refactor prompts. The repository’s install command is:

npx skills add affaan-m/everything-claude-code --skill coding-standards

After installation, invoke it when your task is about conventions, maintainability, or code review rather than feature design.

Give the skill the right input

Strong inputs describe the code area, the goal, and the constraint. For example, instead of “improve this code,” say: “Review src/utils/date.ts for readability, naming, and immutability. Keep behavior unchanged. Flag any confusing branching, duplicated logic, or unsafe mutation.” That gives the coding-standards skill a clear target and prevents generic advice.

Read these files first

Start with SKILL.md for the main rules, then inspect any repo guidance that affects execution. In this repository, the most useful first read is still SKILL.md, followed by referenced guidance such as rules/common/coding-style.md when you want the shortest reusable rule layer. If the directory later grows support files, read those before applying the skill to a production change.

Workflow that produces better results

A practical coding-standards usage flow is: identify the code slice, state the quality goal, specify what must not change, then ask for a review or rewrite. For example: “Apply coding-standards to this module. Prioritize naming, immutability, and simplification. Do not introduce new abstractions unless they remove duplication or clarify intent.” This usually yields cleaner, more reviewable output than a vague style request.

coding-standards skill FAQ

Is coding-standards enough by itself?

Usually no. It is the right baseline for shared conventions, but it should be paired with a more specific skill when the task touches UI, API design, data access, or framework patterns. Think of it as the default layer for a coding-standards for Code Review pass.

Is this beginner-friendly?

Yes. The coding-standards guide is useful for beginners because it explains what reviewers usually mean by “clean code” in practical terms: clear names, predictable structure, and low-surprise behavior. The main limitation is that it won’t teach stack-specific implementation details.

How is it different from a normal prompt?

A normal prompt can ask for code cleanup, but a skill gives you a stable rule set and a repeatable review lens. That matters when you want consistent decisions across files, contributors, or sessions instead of one-off edits. It reduces guesswork around naming, mutability, and readability tradeoffs.

When should I skip it?

Skip coding-standards if your main risk is architectural choice rather than code quality. If the work is mostly React behavior, backend layering, or domain-specific patterns, a narrower skill will give you better results and fewer irrelevant suggestions.

How to Improve coding-standards skill

Make the review criteria explicit

The fastest way to improve results is to say which dimensions matter most: naming, duplication, immutability, error handling, or readability. A prompt like “focus on naming and control flow, ignore formatting-only changes” is stronger than “make this cleaner.” It helps the coding-standards skill optimize for the right tradeoff.

Provide constraints and success conditions

Tell the model what must remain stable: public APIs, runtime behavior, file structure, or existing dependencies. If you are using coding-standards for code review, say whether you want only issues, or issues plus rewrite suggestions. Clear constraints reduce over-editing and make the output easier to apply.

Iterate on the first pass

If the first output is too broad, narrow the scope to one module, one category of smell, or one decision type. Ask for a second pass such as: “Now check only naming and dead code,” or “Rewrite this with the same behavior but simpler branching.” That kind of iteration is where the coding-standards skill becomes most useful.

Watch for common failure modes

The most common problem is asking for “best practices” without context, which leads to generic suggestions. Another failure mode is using the skill where a framework-specific guide is needed, especially for frontend or backend architecture. The best coding-standards result comes from a focused prompt, a narrow code slice, and explicit acceptance criteria.