Analyze codebases to derive conventions and detect consistency gaps.
npx skills add https://github.com/bryonjacob/aug --skill code-patterns
Please help me install this Agent Skill. Skill: code-patterns Source: https://github.com/bryonjacob/aug/tree/main/aug-core/skills/code-patterns Command: npx skills add https://github.com/bryonjacob/aug --skill code-patterns
This Skill helps teams derive prevailing coding conventions directly from their codebase, reducing ambiguity and guiding consistent implementation.
Run the code-patterns skill on a repository to scan for conventions, generate a report, and surface actionable recommendations.
High-intent search queries and answers about installing and using this skill.
To analyze a codebase for coding conventions, the skill parses your repository using language-aware AST and regex fallbacks to quantify pattern adoption and generate a structured report on prevailing naming, imports, and error handling.
Yes, you can detect consistency gaps in a multi-language monorepo by scanning Python and JavaScript files to surface dominant naming and architecture patterns, quantifying their adoption rates to highlight deviations.
The best way to derive project coding standards is to run static analysis on existing source files, extracting common testing and error-handling patterns to surface project conventions and suggest targeted improvements.
Yes, this convention analysis tool works with both Python and JavaScript repositories, applying language-aware parsing where available and regex fallbacks to identify patterns in imports, testing, and error handling across files.
Static analysis quantifies adoption rates by parsing the codebase to count occurrences of specific error handling and testing patterns, generating a consistency score that highlights deviations from your project's prevailing conventions.
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