发现 Skills

Systematic three-phase approach to feature development using Requirements, Design, and Tasks phases. Transforms vague feature ideas into well-defined, implementable solutions that reduce ambiguity, improve quality, and enable effective AI collaboration.

This skill optimizes deep learning models using various techniques. It is triggered when the user requests improvements to model performance, such as increasing accuracy, reducing training time, or minimizing resource consumption. The skill leverages advanced optimization algorithms like Adam, SGD, and learning rate scheduling. It analyzes the existing model architecture, training data, and performance metrics to identify areas for enhancement. The skill then automatically applies appropriate optimization strategies and generates optimized code. Use this skill when the user mentions "optimize deep learning model", "improve model accuracy", "reduce training time", or "optimize learning rate".

Implement Flexport webhook event handling for shipment milestones, booking updates, purchase order events, and invoice notifications. Trigger: "flexport webhooks", "flexport events", "flexport milestones", "flexport shipment tracking webhook".

Troubleshoot common Granola errors — audio capture failures, transcription issues, calendar sync problems, and integration errors. Platform-specific fixes for macOS and Windows. Trigger: "granola error", "granola not working", "granola not recording", "fix granola", "granola troubleshoot".

This skill enables automated testing of mobile applications on iOS and Android platforms using frameworks like Appium, Detox, XCUITest, and Espresso. It generates end-to-end tests, sets up Page Object Models, and handles platform-specific elements. Use this skill when the user requests mobile app testing, test automation for iOS or Android, or needs assistance with setting up device farms and simulators. The skill is triggered by terms like "mobile testing", "appium", "detox", "xcuitest", "espresso", "android test", "ios test".

Create award-winning, immersive web experiences at the level of Awwwards-featured agencies. Use when the user mentions "premium website", "portfolio site", "scroll animations", "Awwwards quality", or "brand experience". Covers dramatic typography, purposeful motion, scroll-based composition, and performance-optimized animation. For foundational UI, see refactoring-ui. For type selection, see web-typography. Trigger with 'top', 'design'.

This skill enables Claude to split datasets into training, validation, and testing sets. It is useful when preparing data for machine learning model development. Use this skill when the user requests to split a dataset, create train-test splits, or needs data partitioning for model training. The skill is triggered by terms like "split dataset," "train-test split," "validation set," or "data partitioning."

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.

Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.

Manage terminal multiplexer sessions for persistent shell environments.

将 Anthropic 官方品牌颜色和字体应用于任何可能需要 Anthropic 视觉风格的作品。适用于品牌颜色或样式指南、视觉格式化或公司设计标准的场景。

Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.

Reviews chapter quality with checker agents and generates reports. Use when the user asks for a chapter review or runs /webnovel-review.

Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.

Use when writing component tests, testing user interactions, mocking APIs, or setting up Vitest/React Testing Library/Vue Test Utils for frontend applications.

Flight canvas for comparing flights and selecting seats. Use when users need to browse flight options and book seats.

Content optimization workflow covering keyword integration, semantic enhancement, structure optimization, and AI extractability. Use for improving existing content for both search engines and LLMs.

Write technical tutorials, blog posts, and educational content with a pedagogical structure. Covers concept explanations, how-to guides, deep dives, and developer education. Triggers on tutorial, technical article, blog post, explain concept, teach, educational content, developer guide.

Conversion Copywriter Specialist. Use this for landing page copy, email sequences, and optimizing conversion rates.

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions

Implement PCI DSS compliance requirements for secure handling of payment card data and payment systems. Use when securing payment processing, achieving PCI compliance, or implementing payment card security measures.

Build document analysis applications with Azure Document Intelligence (Form Recognizer) SDK for Java. Use when extracting text, tables, key-value pairs from documents, receipts, invoices, or building custom document models.