productivity▌

Section titles should have consistent capitalization.

Design visualization and feedback tool for early-stage UI validation before development. \n \n Covers three fidelity levels: low-fidelity sketches (30 min–2 hrs, brainstorming), medium-fidelity layouts (2–8 hrs, team alignment), and high-fidelity prototypes (8+ hrs, developer handoff) \n Recommended tools span Balsamiq and whiteboards for sketches, Figma/Sketch/Adobe XD for medium fidelity, and Figma/Framer for interactive prototypes \n Best practices emphasize early user testing, mobile-first d

Implement proven backend architecture patterns for maintainable, testable, and scalable systems. \n \n Covers three core patterns: Clean Architecture (layered dependency inward), Hexagonal Architecture (ports and adapters), and Domain-Driven Design (bounded contexts, aggregates, value objects) \n Includes complete directory structures, code examples, and implementation patterns for Python backends using FastAPI, asyncpg, and similar frameworks \n Demonstrates practical separation of concerns: do

Master the complete penetration testing lifecycle from reconnaissance through reporting. This skill covers the five stages of ethical hacking methodology, essential tools, attack techniques, and professional reporting for authorized security assessments.

Type-safe URL query state management for Next.js with 42 prioritized best practices across parser configuration, setup, and server integration. \n \n Covers critical parser configuration (typed parsers, defaults, enums, arrays, JSON, dates) and adapter setup (NuqsAdapter, 'use client' directives, Next.js version compatibility) \n Includes high-impact state management patterns using useQueryStates, functional updates, null clearing, and controlled inputs \n Provides server integration guidance fo

Collect project requirements through structured dialogue, generate foundational documentation, and scaffold the project structure — then hand off to downstream workflow skills.

Scan C#/.NET code for performance anti-patterns and produce prioritized findings with concrete fixes. Patterns sourced from the official .NET performance blog series, distilled to customer-actionable guidance.

42 rules across 8 categories for PocketBase v0.36+, prioritized by impact.

Multilingual speech recognition with 99 languages, transcription, translation, and six model sizes from 39M to 1550M parameters. \n \n Supports transcription, translation to English, language identification, and word-level timestamps across 99 languages trained on 680,000 hours of audio \n Six model sizes (tiny through large) with configurable speed/quality tradeoffs; turbo model offers 8× speedup over large with comparable quality \n GPU acceleration delivers 10–20× faster processing; CPU trans

Fetches financial and market data from Yahoo Finance using the yfinance Python library.