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Found 267 Skills
Refactors legacy Java code to modern patterns and best practices. Use when modernizing old Java code, converting to Java 8+ features, refactoring legacy applications, applying design patterns, improving error handling, extracting methods/classes, converting to streams/Optional/records, or migrating from old Java versions. Works with pre-Java 8 code, procedural Java, legacy frameworks, and outdated patterns.
Create multiple choice, true/false, fill-in-blank, matching quizzes. Auto-generate plausible distractors. Instant grading with explanations.
Implement matrix factorization to decompose user-item interaction matrices into latent factor representations. Use this skill when the user needs scalable collaborative filtering, latent feature discovery, or dimensionality reduction for recommendation — even if they say 'SVD recommendations', 'latent factors', or 'factorize the rating matrix'.
Conduct SWOT analysis with TOWS matrix for strategic planning. Use this skill when the user needs to evaluate a company, product, or project by identifying strengths, weaknesses, opportunities, and threats, or wants to generate strategic options from internal and external factors. Also use when the user mentions competitive positioning, strategic assessment, or asks 'what are our advantages and risks', even without naming SWOT explicitly.
Activate this when users need to understand extreme events (bubbles, crashes, mass hysteria, cults, mob behavior), diagnose systemic organizational failures, or assess the risk of multiple psychological/market/institutional forces aligning in the same direction. Typical trigger signals: the phenomenon described by the user "far exceeds what any single factor can explain"; the user attempts to explain an extreme outcome with a single cause; the user is concerned about "multiple adverse factors erupting simultaneously". Not applicable to conventional single-factor decision analysis or assessment of mild incremental changes.
Designs and refactors software codebases to be AI-friendly by aligning the filesystem with domain/feature boundaries, creating deep (greybox) modules with small public interfaces, enforcing import boundaries, and tightening tests/feedback loops. Use when the user asks to "make the codebase AI-ready", "reduce coupling", "introduce deep modules", "create module boundaries", "restructure folders by feature", "define service interfaces", or "plan a refactor + tests so AI agents can work safely".
Prepares tax-season materials for small business owners — framed as deliverables for their accountant, not tax advice. Two modes: (1) quarterly estimated tax calculation — pulls YTD net income from QuickBooks and calculates the federal income tax + self-employment tax liability and quarterly payment due; (2) year-end 1099 prep — scans QuickBooks, PayPal, and Stripe for contractors paid over $600, builds a 1099-NEC candidate list with missing W-9 flags, and produces a plain-English summary a CPA can work from directly. Trigger this skill whenever the user mentions: quarterly taxes, estimated tax payment, how much to set aside for taxes, 1099s, 1099-NEC, year-end tax prep, contractor payments, W-9s, or any phrase suggesting they are preparing for a tax deadline or handing materials to an accountant. Also trigger proactively when a user asks about net profit or YTD income in a context that suggests they are worried about their tax bill.
Diagnose why a product metric changed (dropped, spiked, or plateaued) by orchestrating breakdowns, actors, paths, lifecycle, retention, and annotations queries. Use when the user reports an anomaly, asks "why did X change?", or needs root-cause analysis for a trend, funnel, retention, stickiness, or lifecycle metric.
Collaborative domain modeling through pictographic stories. Use when gathering requirements, understanding business workflows, onboarding team members, or preparing for event storming. Follows Stefan Hofer & Henning Schwentner's methodology with actors, work objects, and activities.
Systematic multi-factor stock screening using formal factor models to identify stocks with favorable factor exposures. Use when the user asks about factor investing, multi-factor screening, value/momentum/quality factor analysis, factor scoring, factor timing, smart beta strategies, quantitative stock screening, or systematic equity selection based on academic factors.
SOLID principles for Swift 6 and SwiftUI (iOS 26+). Files < 150 lines, protocols separated, @Observable, actors, Preview-driven development. Features Modular MANDATORY.
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, designing systems, or making architectural decisions. Enters plan mode, reads all available docs, explores the codebase deeply, then interviews the user relentlessly with ultrathink-level reasoning on every decision until a shared understanding is reached. Produces a validated design spec before any implementation begins. Triggers on feature requests, design discussions, refactors, new projects, component creation, system changes, and any task requiring design decisions.