code-quality-standards
A professional code quality suite for software engineers, implementing SOLID principles, design patterns, refactoring techniques, and technical debt management to ensure clean, maintainable, and production-ready code.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
511 skills found
A professional code quality suite for software engineers, implementing SOLID principles, design patterns, refactoring techniques, and technical debt management to ensure clean, maintainable, and production-ready code.
Automatically keeps README files synced with codebase changes including dependencies, new features, and configuration updates.
AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.
A unified Solana development skill hub featuring multi-agent orchestration, progressive skill loading, and deep integrations for Anchor, Token-2022, DeFi protocols, and security auditing.
Manage GitHub workflows, issues, and pull requests directly from your terminal using the gh CLI within OpenClaw.
Migrate Spring Boot 2.x to 3.x with automated dependency management, Java 17/21 upgrades, and JAXB/Jakarta EE refactoring.
Production-ready scaffolding for React 19 projects using Vite, TypeScript, Biome, and Vitest. Provides strict configuration, linting, formatting, and testing infrastructure.
Automate complete internationalization for Fumadocs. Configures multi-language routing, language switcher, sidebar filtering, and content structure for Next.js projects.
Create new Figma design or FigJam files directly via the MCP server. Automatically resolves plans and initializes new canvases for your design workflows.
A scaffolding tool for generating production-ready Model Context Protocol (MCP) servers, including boilerplate, typed handlers, schema definitions, and test stubs for AI agent integrations.
Method-driven planning workflow that intelligently decomposes tasks into structured plan.md files using zen-mcp tools, adapting to user clarity and automation needs.
Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.