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.
524 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.
A precision-focused UX/UI engineering agent for identifying bugs, optimizing usability, and ensuring flawless interface performance in workflow applications.
Master DP patterns with complete implementations for memoization, tabulation, and state design for production-ready solutions.
Expert CLI guides for AI agents, featuring senior engineer workflows, safety guardrails, and operational patterns for cloud, IaC, containers, databases, and dev tools.
Manually triggers a Hipocampus memory flush to persist current session context to raw logs and initiate the compaction tree process for long-term agent memory maintenance.
Comprehensive office productivity toolkit for AI agents, featuring PDF, Word, Excel, PowerPoint, and internal communication automation capabilities.
Verifies blockchain smart contract code against technical specifications, whitepapers, and design documents to ensure exact implementation compliance.
Three.js material library: PBR, basic, phong, shader materials, and properties. Essential for styling meshes, texture mapping, custom GLSL shaders, and optimizing 3D material performance.
Generate high-converting, professional README.md files for open source projects and CLI tools using a value-driven, scannable framework.
Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.
A framework for creating, iterating, and managing reusable evolving workflows that combine structured documentation with custom Python automation tools.
Automated generation of structured, production-ready pytest test suites for Python functions and classes.