CI/CD

Build immersive 3D web experiences with Three.js - WebGL/WebGPU library for scenes, cameras, geometries, materials, lights, animations, loaders, post-processing, shaders (including node-based TSL), compute, physics, VR/XR, and advanced rendering. Use when creating 3D visualizations, games, interactive graphics, data viz, product configurators, architectural walkthroughs, or WebGL/WebGPU applications. Covers OrbitControls, GLTF/FBX loading, PBR materials, shadow mapping, post-processing effects (bloom, SSAO, SSR), custom shaders, instancing, LOD, animation systems, and WebXR.

Standard library Python argparse examples with subparsers, choices, actions, and nested command patterns. Use when building Python CLIs without external dependencies, implementing argument parsing, creating subcommands, or when user mentions argparse, standard library CLI, subparsers, argument validation, or nested commands.

Run and manage long-running background tasks in the shell. Use for starting processes in background, monitoring output, listing active tasks, and killing processes. Essential for dev servers, watch modes, builds, and any non-blocking operations.

Clean Architecture and SOLID principles implementation including dependency injection, layer separation, domain-driven design, hexagonal architecture, and code quality patterns

Mobile UI patterns, gestures, animations, and platform-specific design.

Generate 3D printable STL files for woodworking jigs and fixtures using CadQuery. Use when the user requests lampshade jigs, circle cutting guides, angle wedges, spacing blocks, alignment fixtures, router jigs, or any custom 3D-printed woodworking aid. Optimized for Elegoo Neptune 4 Pro (225x225x265mm build volume, 0.2mm layer height). Always use metric measurements.

Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features

Implement secure, consistent input validation on both client and server sides. Use this skill when validating form inputs, API request bodies, or user-provided data. When sanitizing input to prevent injection attacks (SQL, XSS, command injection). When writing allowlist-based validation, type checking, or business rule validation. When providing field-specific error messages to users.

Phase 1 of disciplined development. Deep problem understanding before design.Maps existing systems, identifies constraints, surfaces risks, and producesa research document for human approval before proceeding.

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

Use when understanding external libraries, frameworks, or dependencies - provides workflows for finding and reading official documentation via Context7 instead of web search or source code reading

Repository type detection for identifying library vs consumer repositories. Analyzes directory structure, package.json dependencies, and monorepo indicators to classify repositories and detect multi-mono relationships. Returns metadata about workspace type, monorepo tool (Turborepo, nx, lerna, pnpm-workspace), and library consumption patterns. Use when agents need to adapt behavior based on repository type or validate architecture-specific patterns.

Discover and introspect SQL Server database schemas dynamically. Use this skill when you need to understand table structures, column types, primary/foreign key relationships, or when adding new entities to the extraction pipeline.

Use for project architecture, codebase structure, dependencies, components, tech stack. Explicit triggers: @map, map-ask, explore map, -map. Pre-computed maps faster than Glob for structural queries.

Data import/export and validation pipeline for MyDetailArea. Handles bulk operations, CSV/Excel processing, data migration, validation rules, error handling, and audit trails. Supports vehicle inventory import, order batch updates, contact imports, and custom data transformations. Use when implementing bulk data operations, migration from legacy systems, or scheduled exports.

Apply refactoring patterns when consolidating code, extracting functions, or discussing DRY principles. Use when identifying duplicate code, planning consolidation, or discussing code organization. Auto-apply when editing files in src/ or when user mentions "duplicate", "refactor", "DRY", "extract", "consolidate", or "similar code".

Expert in modern code design standards including SOLID principles, Clean Code patterns (KISS, YAGNI, DRY, TDA), design patterns, and pragmatic software design. **ALWAYS use when designing ANY classes/modules, implementing features, fixing bugs, refactoring code, or writing functions. ** Use proactively to ensure proper design, separation of concerns, simplicity, and maintainability. Triggers - "create class", "design module", "implement feature", "refactor code", "fix bug", "is this too complex", "apply SOLID", "keep it simple", "avoid over-engineering", writing any code.

Applies PwC's official brand colors and typography to any sort of artifact that may benefit from having PwC's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

Maintain consistent coding style, formatting, and naming conventions across the entire codebase following DRY and YAGNI principles. Use this skill when writing or refactoring any code in any language or framework to ensure consistent indentation, naming patterns, function size, and code organization. Apply this skill when naming variables, functions, classes, or files, when formatting code with proper spacing and line breaks, when removing dead code or unused imports, when extracting duplicated logic into reusable functions, or when ensuring small focused functions that do one thing well. This skill ensures the entire codebase maintains uniform style through automated formatting tools (Prettier, Black, ESLint), follows established naming conventions (camelCase, PascalCase, snake_case), avoids code duplication, removes commented-out code, and prioritizes readability and maintainability over cleverness.

Use when working with the scikit-hep hist library in Python to create, fill, slice, and plot histograms (1D/2D/multi-axis), including UHI indexing, categorical axes, and mplhep plotting conventions.