linting-workflow
Generic linting workflow for multiple languages with auto-fix and error resolution guidance
Browse published AI skills maintained by darellchua2. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
14Repository stars across indexed skills
28Repository forks
14Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
Generic linting workflow for multiple languages with auto-fix and error resolution guidance
Ensure Python code follows industry standards using Ruff linter with linting-workflow framework
Ensure JavaScript/TypeScript code follows industry standards using ESLint linter with linting-workflow framework
Generate language-specific docstrings for C#, Java, Python, and TypeScript following industry standards (PEP 257, Javadoc, JSDoc, XML documentation)
JIRA ticket creation and branching, extending ticket-branch-workflow and jira-git-integration
Generic pull request creation workflow with configurable quality checks and multi-platform integration
Create Git pull requests and optionally update JIRA tickets with comments and image attachments
GitHub issue creation with intelligent tag detection, extending ticket-branch-workflow
Complete Next.js PR workflow using pr-creation-workflow, jira-git-integration, and linting-workflow frameworks
Generic JIRA + Git workflow utilities for ticket management, branch creation, and integration
Generate comprehensive unit tests for Next.js 16 applications covering App Router, Server Components, Client Components, API routes, and Server Actions with industry best practices
Ensure test coverage percentage is displayed in README.md for Next.js and Python projects following industry standards
Generic test generation framework supporting multiple languages and testing frameworks
Generate comprehensive pytest test files for Python using the test-generator-framework
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.