productivity▌

Rigorously assess startup ideas BEFORE building using structured validation—saving months of wasted effort on ideas that won't work.

Use this as the single canonical workflow for skill creation and improvement. Primary success condition: maximize high-value input coverage before authoring so the resulting skill has minimal blind spots.

Upscale and enhance images using Topaz, Real-ESRGAN, and other inference.sh models. \n \n Supports multiple upscaling models including Topaz Image Upscaler, Real-ESRGAN, and FLUX Dev Upscaler via the inference.sh CLI \n Handles common image enhancement tasks: restoring old photos, preparing AI-generated art for print, creating high-resolution versions for displays, and enlarging thumbnails \n Integrates with image generation workflows, allowing you to generate and upscale images in sequence \n R

This skill provides guidance for creating sophisticated, interactive data visualisations using d3.js. D3.js (Data-Driven Documents) excels at binding data to DOM elements and applying data-driven transformations to create custom, publication-quality visualisations with precise control over every visual element. The techniques work across any JavaScript environment, including vanilla JavaScript, React, Vue, Svelte, and other frameworks.

SQL query optimization, schema design, and performance troubleshooting across PostgreSQL, MySQL, SQL Server, and Oracle. \n \n Covers query patterns including CTEs, window functions, recursive queries, and complex joins with execution plan analysis and optimization strategies \n Provides EXPLAIN/ANALYZE interpretation, covering index design, statistics tuning, and before/after benchmarking to meet sub-100ms performance targets \n Includes schema design guidance on normalization, keys, constraint

Establish scalable project structures with standardized naming conventions and folder organization patterns. \n \n Provides templates for React/Next.js frontends, Node.js/Express backends, and feature-based large-scale applications with clear separation of concerns \n Defines naming conventions for files (PascalCase components, camelCase utilities, UPPER_SNAKE_CASE constants), folders (kebab-case or camelCase), and variables (with is/has/can prefixes for booleans) \n Includes best practices for

Generate high-quality SVG graphics using Python scripts. All scripts output valid SVG to stdout (or file with -o).

Intelligent YouTube video clipper with AI-powered chapter analysis, subtitle translation, and batch processing. \n \n Downloads videos and English subtitles, then uses Claude to generate fine-grained chapters (2–5 minute segments) by analyzing subtitle semantics and identifying natural topic transitions \n Supports bilingual subtitle generation (English + Chinese), subtitle burning to video with styled overlays, and social media summary generation for each clip \n Handles environment detection f

Transform raw data into compelling narratives that drive decisions and inspire action.

Comprehensive fundamental, technical, and comparative analysis of US stocks with real-time market data and investment reports. \n \n Supports four analysis types: basic stock info, fundamental analysis (financials, valuation, business quality), technical analysis (indicators, chart patterns, support/resistance), and comprehensive investment reports \n Fetches current market data via web search across Yahoo Finance, SEC filings, earnings reports, and technical data sources \n Generates side-by-si