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Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
Calculate Monaco payslips (bulletin de salaire) with social security contributions, taxes, and net salary. Use when user requests Monaco payslip calculations, salary breakdowns for Monaco employees, or needs to compute Monegasque employer/employee contributions.
Fatigue analysis for offshore structures including S-N curves, rainflow counting, Miner's rule, and DNV standards
Use when asked to "7 Powers", "build a competitive moat", "analyze defensibility", "find sustainable advantage", "economic moats", or "Hamilton Helmer framework". Helps identify durable competitive advantages. The 7 Powers framework (created by Hamilton Helmer) reveals the economic structures that protect business value from competition.
Thrivve Partners Monte Carlo simulation to forecast completion date based on remaining work and historical throughput. Use when the user asks "when will I complete [N] stories/tasks" with historical daily throughput data. Requires at least 10 days of throughput history, a count of remaining items, and optional confidence level (default 85%).
Apply consulting methodologies from McKinsey, BCG, Bain, and Accenture for structured problem-solving and strategic analysis. Use when analyzing business problems, developing strategy, structuring presentations, evaluating M&A, sizing markets, improving profitability, managing projects, or driving organizational change.
This skill should be used when preparing strategies for production deployment, implementing monitoring, logging, and failsafes. It provides patterns for transitioning from backtest to live trading with proper infrastructure.
UI/UE (user interface & user experience) skill for designing and reviewing interfaces. Use for tasks like creating UI specs, interaction states, component guidelines, visual hierarchy, responsive layouts, accessibility, design tokens, and handoff-ready requirements for engineers.
Analyzes content marketing metrics to identify top performers, trends, and optimization opportunities. Use when reviewing blog posts, social media, or campaign performance. Accepts CSV data with engagement metrics and provides actionable insights.
Derive technical development principles FROM user needs in product.md using evidence-based reasoning. Creates constitution.md with architecture decisions, tech stack choices, and development constraints - all traced back to specific user needs. Use when user mentions "technical principles", "constitution", "architecture decisions", or after creating product.md.
Create detailed implementation plans through interactive research and iteration
Use when building selection algorithms that must balance multiple diversity/coverage constraints (e.g., selecting test cases, sampling datasets, portfolio optimization). Especially useful when hard co...
Workspace-first R statistics suite with subskills and agent-run metaskills (including run-demo for guided onboarding, explain-statistics for concept explanations, explain-results for interpreting outputs, format-document for NLSS format alignment, screen-data for diagnostics, check-assumptions for model-specific checks, and write-full-report for end-to-end reporting) that produce NLSS format tables/narratives and JSONL logs from CSV/SAV/RDS/RData/Parquet. Covers descriptives, frequencies/crosstabs, correlations, t-tests/ANOVA/nonparametric, regression/mixed models, SEM/CFA/mediation, EFA, power, reliability/scale analysis, assumptions, plots, missingness/imputation, data transforms, and workspace management.
Blazor VSA パターンカタログからの適切なパターン選択支援。新機能追加、 CRUD 操作、クエリ実装、状態遷移、バウンダリー設計などの文脈で、 catalog/index.json の ai_decision_matrix に基づいて最適なパターンを 提案する。Feature Slice、Pipeline Behavior、Domain Pattern、 Query Pattern などから文脈に応じたパターンを選択。
Expert in Apache Ray distributed computing. Use when converting Python code to Ray workloads, debugging Ray applications, optimizing Ray performance, or working with Ray Core, Ray Data, Ray Train, Ray Serve, or Ray Tune. Automatically fetches relevant documentation from Ray, HuggingFace, PyTorch, and other ML/distributed frameworks based on code context.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
Personalized AI mentorship for learning any creative or technical skill. Adaptive teaching that meets you where you are and guides you to mastery. Premium skill for deep learning journeys.
