Skill UI

This skill guides you through a comprehensive, multi-phase interview to capture every necessary detail of a new project idea. It is designed to run BEFORE any code is written, forcing detailed specification gathering across purpose, features, data models, and technical constraints. The output is a clean, self-contained prompt.md file, ensuring subsequent development is based on solid, unambiguous requirements and preventing costly mistakes.

A comprehensive technical reference detailing idiomatic and efficient coding practices for the C language. It covers critical topics such as safe memory management, pointer handling, robust error checking, and modern string manipulation techniques, helping developers write reliable and performant C code.

A comprehensive reference guide covering idiomatic C++ practices, focusing on modern features from C++17 to C++23. Topics include smart pointers, move semantics, structured bindings, ranges library, concepts, and robust error handling techniques.

A comprehensive guide covering modern Dart programming standards and best practices. It details techniques for null safety, efficient collection manipulation, asynchronous programming (Futures and Streams), immutable class design, and optimizing Flutter widgets, ensuring developers write clean, performant, and bug-resistant code.

This tool generates a comprehensive hiring rubric and technical interview scorecard for evaluating software engineers at specific levels and roles. It defines clear behavioral anchors, structured technical questions, and system design criteria, ensuring consistent, unbiased evaluation across all interviewers, and providing a full debrief agenda.

A comprehensive guide and playbook for managing feature flags across services or teams. It covers flag taxonomy (Release, Experiment, Ops, Permission), naming conventions, safe rollout strategies, creation checklists, and cleanup policies to prevent technical debt. Ideal for standardizing feature flag practices and governance.

A comprehensive skill for generating a structured Request for Comments (RFC) document. Use this to formally propose technical decisions, architectural changes, or significant system implementations. The output ensures all critical aspects are covered, including problem statements, proposed solutions, rejected alternatives, success metrics, and migration plans, facilitating rigorous technical review and decision-making.

This skill is a comprehensive tool for managing and understanding SQL queries. It can explain complex SQL in plain English for non-technical stakeholders, optimize slow queries by identifying performance bottlenecks, generate functional SQL code from natural language prompts, and produce detailed query documentation and data dictionaries. Supports major dialects including PostgreSQL, MySQL, and BigQuery.

This skill generates a comprehensive Technology Radar document following the ThoughtWorks format. It provides a structured framework for an engineering team to evaluate and categorize all significant technologies (tools, languages, platforms, techniques) into four quadrants (Adopt, Trial, Assess, Hold). It helps establish a shared, explicit technology strategy, detailing adoption rationales, decision trails, and maintenance processes for consistent engineering choices.

This skill generates a comprehensive technical debt register for any team or service. It guides users to input critical data points (e.g., business impact, effort, tech stack) and produces a structured report that categorizes debt (Architecture, Security, Testing, etc.). The output includes a calculated priority score and a quarterly debt reduction roadmap, enabling deliberate, business-aware engineering decision-making.

A comprehensive template designed to structure complex technical specifications, ensuring a complete record of engineering decisions. It guides users to document problem statements, proposed solutions, system architecture, data models, API designs, security considerations, and rollout plans, bridging product requirements and technical implementation.

A comprehensive technical guide for implementing the nostalgic Frutiger Aero aesthetic across web and mobile platforms. This style, popular in the mid-2000s, is characterized by glossy gradients, translucent glass effects, and nature-inspired motifs (sky, water, grass), creating an optimistic, skeuomorphic user interface experience.