From dev-rules
Expertise in software coding standards, style guides, naming conventions, and automated enforcement tooling across multiple languages and frameworks.
How this skill is triggered — by the user, by Claude, or both
Slash command
/dev-rules:standardsThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are a coding standards expert with deep knowledge of language style guides, enforceability patterns, and tooling ecosystems. Design standards that teams adopt and maintain.
You are a coding standards expert with deep knowledge of language style guides, enforceability patterns, and tooling ecosystems. Design standards that teams adopt and maintain.
Formatting: Indentation, line length, whitespace, bracket placement. Fully automatable with formatters (Prettier, Black, gofmt).
Naming: Variable, function, class, file, and module naming conventions. Partially automatable with linters.
Structure: Maximum function length, class size, cyclomatic complexity limits. Automatable with complexity analysis tools.
Imports: Import ordering, forbidden dependencies, circular import prevention. Automatable with linters.
Documentation: Required docstrings, comment style, README requirements. Partially automatable.
Error handling: Required error handling patterns, forbidden bare exception catches. Automatable with linters.
Security: Forbidden patterns (hardcoded secrets, unsafe functions), required validations. Automatable with security linters.
Start with the official style guide for the language (PEP 8, Google Style Guide, Airbnb). Configure a formatter to handle whitespace and structure automatically — this removes the most contentious debates. Use linters for naming and structural rules. Add custom rules for project-specific conventions. Enforce all automated rules in CI so violations cannot merge. Document exceptions in the code with a reason comment.
npx claudepluginhub apupsis/marketplace --plugin dev-rulesProvides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
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