code-standards-adopter
SolidInfers a codebase's implicit coding conventions (naming, structure, imports, comments, error handling) by analyzing the existing code, then makes them explicit: generates linter/formatter configs that match current reality, a conventions document, and agent steering rules so AI-written code blends in. Use when adopting AI coding tools on an existing codebase or onboarding to an unfamiliar team style. Triggers on: "match our coding style", "infer our conventions", "generate lint config from this codebase", "make the AI write code like our team", "extract our code standards", "set up steering rules from existing code".
Install
Quality Score: 81/100
Skill Content
Details
- Author
- timwukp
- Repository
- timwukp/agent-skills-best-practice
- Created
- 4 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Similar Skills
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awesome-code-standards
Universal coding standards: naming, structure, immutability, error handling, and type-safety patterns for consistent code. Use when starting a project or module, refactoring to team conventions, setting up lint/format rules, onboarding, or when the user says 'coding standards', 'naming conventions', 'code style'. Discovers and follows the project's own conventions first; these rules fill the gaps.
convention-extraction
Use when setting up a new project's conventions, onboarding AI to an existing codebase, after team composition changes, or when AI output quality varies depending on who prompts — guides structured discovery of tacit team knowledge into explicit, enforceable artefacts
coding-standards
Universal coding standards: naming, structure, immutability, error handling, and type-safety patterns for consistent code. Use when starting a project or module, refactoring to team conventions, setting up lint/format rules, onboarding, or when the user says 'coding standards', 'naming conventions', 'code style'. Discovers and follows the project's own conventions first; these rules fill the gaps.