Loading...
Loading...
Found 1,025 Skills
General Architecture Governance Specification, providing layering constraints, impact analysis, interface contracts, and dependency injection baselines. Suitable for architecture review, refactoring, and new module design of any multi-layer system.
Detects and safely removes unused code (imports, functions, classes) across multiple languages. Use after refactoring, when removing features, or before production deployment. Includes safety checks and validation.
Use when writing, reviewing, or refactoring WordPress PHP code. Covers WordPress Coding Standards (WPCS), naming conventions, Yoda conditions, $wpdb usage, escaping with esc_html/esc_attr/esc_url, wp_kses, hooks (add_action, add_filter, apply_filters, do_action), i18n functions (__(), _e(), _x, _n), wp_enqueue_script, wp_enqueue_style, formatting rules, deprecated function replacements, and WordPress API best practices. For security see wp-security; for performance see wp-performance; for blocks see wp-blocks.
Apply React best practices when writing or reviewing React code. Use when building components, reviewing PRs, refactoring React code, fixing performance issues, debugging re-renders, structuring state and data flow, converting useEffect to loaders, building forms, or asking "how should I structure this component".
Create or modify vanilla HTML/CSS/JavaScript (without a framework) using modular ES modules (ESM), vanilla technologies, clean and readable code, ready for production (no transpiling). Useful for lightweight, high-performance pages, dependency-free UI widgets, standard JavaScript refactoring, and rapid prototyping without using frameworks like React, Angular or Vue.
Write readable, maintainable code through disciplined naming, small functions, and clean error handling. Use when the user mentions "code review", "naming conventions", "function too long", "code smells", or "readable code". Covers SRP, comment discipline, formatting, and unit testing. For refactoring techniques, see refactoring-patterns. For architecture, see clean-architecture.
AI-assisted UI generation patterns for json-render, v0, Bolt, and Cursor workflows. Covers prompt engineering for component generation, review checklists for AI-generated code, design token injection, refactoring for design system conformance, and CI gates for quality assurance. Use when generating UI components with AI tools, rendering multi-surface MCP visual output, reviewing AI-generated code, or integrating AI output into design systems.
Use when creating CLI tools, terminal user interfaces (TUI), or any command-line applications. Load for terminal UI design, ASCII art, color schemes, box drawing characters, and polished terminal output. Also use for refactoring boring CLIs into distinctive experiences.
This skill provides comprehensive guidance for adapting Wan-series video generation models (Wan2.1/Wan2.2) from NVIDIA CUDA to Huawei Ascend NPU. It should be used when performing NPU migration of DiT-based video diffusion models, including device layer adaptation, operator replacement, distributed parallelism refactoring, attention optimization, VAE parallelization, and model quantization. This skill covers 9 major adaptation domains derived from real-world Wan2.2 CUDA-to-Ascend porting experience.
Rust performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring Rust code to ensure optimal performance patterns. Triggers on tasks involving memory allocation, ownership, borrowing, iterators, async code, or performance optimization.
Google TypeScript style guide for writing clean, consistent, type-safe code. This skill should be used when writing, reviewing, or refactoring TypeScript code. Triggers on TypeScript files, type annotations, module imports, class design, and code style decisions.
Python backend development expertise for FastAPI, security patterns, database operations, Upstash integrations, and code quality. Use when: (1) Building REST APIs with FastAPI, (2) Implementing JWT/OAuth2 authentication, (3) Setting up SQLAlchemy/async databases, (4) Integrating Redis/Upstash caching, (5) Refactoring AI-generated Python code (deslopification), (6) Designing API patterns, or (7) Optimizing backend performance.