Skill UI

An expert skill designed to author comprehensive, implementation-ready design system guidelines for editorial content like books, magazines, and reports. It structures visual language across tokens, typography, spacing, and component states, while rigorously adhering to WCAG accessibility standards and defining clear content tone and anti-patterns for developers and designers.

This skill functions as an expert design system author, generating comprehensive, implementation-ready guidelines based on specific brand aesthetics (e.g., Riso). It covers design tokens, component anatomy, accessibility criteria (WCAG 2.2 AA), writing tone, and anti-patterns. It ensures deep consistency and usability for engineers and designers.

This skill establishes an expert persona and comprehensive workflow for generating high-quality, implementation-ready design system guidelines. It mandates adherence to a specific "Sketch" hand-drawn aesthetic, defines foundational tokens (color, typography, spacing), and enforces best practices regarding accessibility (WCAG 2.2 AA) and structured documentation (e.g., anti-patterns, QA checklists).

A powerful PreToolUse hook designed to act as a safety net during code writing sessions. It automatically scans both file paths and content for 12 common security anti-patterns, including SQL injection, XSS, command injection (Node.js/Python), and unsafe deserialization. It blocks the writing operation and provides immediate warnings, ensuring adherence to secure coding practices when handling sensitive code like authentication or payment logic.

A comprehensive guide to writing idiomatic and efficient Go code. It covers best practices for error handling (using `%w`), managing slices and maps, implementing robust concurrency with goroutines and channels, designing small composable interfaces, and avoiding common anti-patterns. Essential for improving code quality in Go projects.

This comprehensive guide outlines modern and idiomatic Java best practices. It covers advanced topics like Streams, Optional, Records, and Pattern Matching, while detailing anti-patterns and efficient ways to handle concurrency and error management in contemporary Java development.

This guide serves as a comprehensive reference for writing idiomatic, efficient, and modern Python code. It covers best practices for comprehensions, context managers, error handling (EAFP), data class usage, type hinting, and avoiding common anti-patterns, helping developers write cleaner, more robust, and truly 'Pythonic' code.

A specialized skill for creating highly structured, measurable, and strategically aligned Objectives and Key Results (OKRs). It guides product teams, startups, and departments in setting ambitious goals by defining clear objectives and quantitative key results. It actively flags common anti-patterns, such as vanity metrics or output-based goals, ensuring all KRs are measurable and tied back to the company's North Star metric.

A static analysis tool that audits SQL code for common cost and performance anti-patterns (e.g., full-table scans, Cartesian joins). It calculates a query health score (0-100) for data warehouses like BigQuery, Snowflake, and Redshift, providing a prioritized, actionable plan with concrete fixes and estimated cost savings. Essential for FinOps and data quality assurance.

A comprehensive tool for querying, storing, and managing complex knowledge across multiple agent sessions. AgentDB utilizes advanced techniques including semantic routing, hierarchical recall, causal graph construction, and context synthesis. Use this skill when your application requires robust, multi-faceted knowledge retrieval and reasoning based on structured and unstructured data. It provides a structured workflow for checking system health, starting sessions, storing knowledge in tiers (working, episodic, semantic), and searching learned patterns.

This comprehensive guide outlines industry best practices for designing robust and consistent REST APIs. It covers proper resource naming conventions, standardized HTTP method semantics, detailed HTTP status codes (e.g., 201, 404, 422), structured response formats (including pagination and links), and advanced strategies like cursor-based pagination. Essential for building scalable and maintainable APIs.

This guide outlines architectural patterns and best practices for building scalable, production-ready APIs with FastAPI. It covers proper project structure, separating concerns using routers, services, and CRUD layers, implementing dependency injection for database sessions and authentication, defining Pydantic schemas for request/response, handling asynchronous operations, and managing custom error responses.