Standardize technical specifications for React Doctor linting rules.
npx skills add https://github.com/millionco/react-doctor --skill rule-research
Please help me install this Agent Skill. Skill: rule-research Source: https://github.com/millionco/react-doctor/tree/main/.agents/skills/rule-research Command: npx skills add https://github.com/millionco/react-doctor --skill rule-research
This Skill eliminates ambiguity in rule development by forcing a structured, evidence-based definition of React code patterns before any implementation begins.
Use the rule-research skill to draft a contract for a new rule that detects unnecessary re-renders caused by inline object literals in dependency arrays.
High-intent search queries and answers about installing and using this skill.
To define a React linting rule without false positives, you establish a technical specification contract using evidence-based pattern analysis. This standardizes rule behavior, runtime impact, and scope boundaries before writing the actual linter code.
A rule contract in static analysis is a structured technical specification defining exact syntax-aware detection logic and test cases. It documents rule behavior, runtime impact, and scope boundaries to eliminate ambiguity during linting rule development.
You document edge cases for React code patterns by systematically analyzing code behavior and gathering evidence like official documentation, open-source examples, and test fixtures. This ensures high-precision detection and actionable implementation contracts.
Yes, this rule research approach works for detecting React performance issues like unnecessary re-renders. You use it to define exact syntax-aware detection logic and test cases for specific patterns, such as inline object literals in dependency arrays.
The best way to standardize documentation for static analysis rule behavior is to enforce an evidence-based contract definition. This requires collecting official documentation, open-source examples, and test fixtures to ensure rule accuracy and high-precision detection.
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