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Found 1,112 Skills
Spatial and spatiotemporal regression with GNNWR (Geographically Neural Network Weighted Regression). Use when Claude needs to: (1) Build spatially varying coefficient regression models, (2) Analyze geographic non-stationarity in spatial data, (3) Generate spatial coefficient maps for publication, (4) Run spatiotemporal regression with GTNNWR, (5) Scale geographically weighted regression to large datasets (N > 10k) with KNN mode, (6) Diagnose spatial model performance with F-tests, AIC, and residual maps.
Develop Microsoft Fabric Spark/data engineering workflows with intelligent routing to specialized resources. Provides core workspace/lakehouse management and routes to: data engineering patterns, development workflow, or infrastructure orchestration. Use when the user wants to: (1) manage Fabric workspaces and resources, (2) develop notebooks and PySpark applications, (3) design data pipelines and orchestration, (4) provision infrastructure as code. Triggers: "develop notebook", "data engineering", "workspace setup", "pipeline design", "infrastructure provisioning", "Delta Lake patterns", "Spark development", "lakehouse configuration", "organize lakehouse tables", "create Livy session", "notebook deployment".
Free 9-week data engineering course covering Docker, Terraform, Kestra, BigQuery, dbt, Spark, and Kafka with hands-on projects
Write modern, high-performance C# code using records, pattern matching, value objects, async/await, Span<T>/Memory<T>, and best-practice API design patterns. Emphasizes functional-style programming with C# 12+ features.
Create spatial node-based diagrams with free positioning. Best for mind maps, knowledge graphs, concept maps, and planning boards where precise spatial layout matters. Use JSON format with x/y coordinates. NOT for sequential flows (use mermaid) or data charts (use vega).
Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.
Expert guidance for natural language processing development using transformers, spaCy, NLTK, and modern NLP techniques.
Use this skill as the main entry point whenever the user wants to build, plan, or evolve an interactive teaching website / course microsite / workshop landing page — from a blank slate, from existing course materials, or any state in between. Triggers on broad phrases like "做課程網站", "做教學網頁", "做工作坊網站", "把講義變網頁", "course microsite", "workshop site", "interactive lesson page", "multi-day curriculum website", "做一套課程". This skill is the router for the whole teaching-site pipeline (outline → content → SPA → interactions → visuals → corporate / ebook) and dispatches to the 10 specialised sub-skills as needed. Prefer this when the user's request is broad or unclear about which stage they're at — sub-skills (e.g. `course-ebook-publishing`) are still triggerable directly for stage-specific requests.
Setup Spanora AI observability in any project (JavaScript/TypeScript or Python). Use when user asks to "add spanora", "setup spanora", "integrate spanora", "add AI observability", "monitor LLM calls with spanora", "track AI costs", or mentions spanora in the context of adding observability to their project. Detects the language and installed AI SDKs (Vercel AI, Anthropic, OpenAI, LangChain) and configures the optimal integration pattern.
INVOKE THIS SKILL when downloading or exporting Arize traces and spans. Covers exporting traces by ID, sessions by ID, and debugging LLM application issues using the ax CLI.
Builds Geographically Weighted Regression (GWR) workflows in CARTO. Triggers when the user mentions GWR, geographically weighted regression, spatially varying relationships, local regression, local coefficients, spatial regression, "what drives X in different areas", "why do prices vary spatially", "local factors affecting Y", varying coefficients, coefficient maps, spatial non-stationarity, or wants to model how the relationship between a dependent variable and predictors changes across geography. Produces per-cell regression coefficients that reveal how predictor importance shifts from place to place.
Create and manage Anki flashcards. Use when the user wants to create flashcards, add notes to Anki, manage decks, or work with spaced repetition learning. Also use when user mentions "anki", "make cards", "add to anki", "learn this", "memorize", "remember this", "SRS", or asks to turn content into flashcards.