pyhealth
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
treatment-plans
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
dask
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
exploratory-data-analysis
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
polars
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
pufferlib
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.
pytorch-lightning
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.
scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
shap
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.
stable-baselines3
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick prototyping, and well-documented algorithm implementations. Best for single-agent RL with Gymnasium environments. For high-performance parallel training, multi-agent systems, or custom vectorized environments, use pufferlib instead.
statistical-analysis
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For implementing specific models programmatically use statsmodels.
statsmodels
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.
Home Assistant Integration knowledge
Everything you need to know to build, test and review Home Assistant Integrations. If you're looking at an integration, you must use this as your primary reference.
vue
Vue.js progressive JavaScript framework. Use when building Vue components, working with reactivity (ref, reactive, computed, watch), or implementing Vue Composition API patterns.
vueuse-functions
Apply VueUse composables where appropriate to build concise, maintainable Vue.js / Nuxt features.
pinia
Pinia official Vue state management library, type-safe and extensible. Use when defining stores, working with state/getters/actions, or implementing store patterns in Vue apps.
uni-helper
Comprehensive skill reference for uni-helper ecosystem - AI-powered development tools for uni-app
uni-app
Comprehensive skill reference for uni-app cross-platform development framework
unocss
UnoCSS instant atomic CSS engine, superset of Tailwind CSS. Use when configuring UnoCSS, writing utility rules, shortcuts, or working with presets like Wind, Icons, Attributify.
vite
Vite next-generation frontend build tool with fast HMR and optimized builds. Use when configuring Vite, adding plugins, working with dev server, or building for production.
vue-best-practices
MUST be used for Vue.js tasks. Strongly recommends Composition API with `<script setup>` and TypeScript as the standard approach. Covers Vue 3, SSR, Volar, vue-tsc. Load for any Vue, .vue files, Vue Router, Pinia, or Vite with Vue work. ALWAYS use Composition API unless the project explicitly requires Options API.
web-design-guidelines
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
bioskills
Installs 425 bioinformatics skills covering sequence analysis, RNA-seq, single-cell, variant calling, metagenomics, structural biology, and 56 more categories. Use when setting up bioinformatics capabilities or when a bioinformatics task requires specialized skills not yet installed.
spec-assistant
Guide spec-driven development using collaborative interrogation and iterative Q&A to build production-ready specifications. Use when the user wants to build specifications, plan features, gather requirements, create technical blueprints, or asks about spec-driven development, requirements gathering, feature planning, or specification writing.
gluestack-ui-v4
Enforces constrained, opinionated styling patterns for gluestack-ui v4. Main overview skill that coordinates specialized sub-skills for setup, components, styling, variants, performance, and validation.
gluestack-ui-v4:components
Component usage patterns for gluestack-ui v4 - covers component selection, props vs className, compound patterns, icons, and provider setup.
gluestack-ui-v4:creating-components
Step-by-step guide for creating components with gluestack-ui v4 - covers planning, structure, styling, TypeScript, and common component patterns.
gluestack-ui-v4:performance
Performance optimization and cross-platform patterns for gluestack-ui v4 - covers native/web compatibility, TypeScript, memoization, animations, and best practices.
gluestack-ui-v4:setup
Guide for installing gluestack-ui v4 per the official Installation doc - CLI and Manual paths only. Follow https://v4.gluestack.io/ui/docs/home/getting-started/installation strictly.
gluestack-ui-v4:styling
Styling patterns for gluestack-ui v4 - covers semantic tokens, spacing, dark mode, variants with tva, and className merging.
gluestack-ui-v4:validation
Validation checklist and anti-patterns for gluestack-ui v4 - use for code review, checking implementation quality, and identifying common mistakes.
gluestack-ui-v4:variants
Guide for creating custom variants for gluestack-ui v4 components - covers tva usage, extending components, variant patterns, and customization strategies.
migrate-to-v5
Migrate a gluestack-ui project from v2, v3, or v4 to v5 (NativeWind v5 or UniWind). Covers automated CLI upgrade and manual step-by-step migration for all source versions.
stats
Query Claude Code usage stats from observability logs. Shows costs, session summaries, tool usage, token consumption, and more. Use when asked about costs, usage, stats, spending, session history, most-used tools, or token usage. Invoked with /stats or when asking questions like "how much have I spent today?"
asc-xcode-build
Build, archive, export, and manage Xcode version/build numbers with asc and xcodebuild before uploading to App Store Connect. Use when you need to create an IPA or PKG for upload.
asc-app-create-ui
Create a new App Store Connect app record via browser automation. Use when there is no public API for app creation and you need an agent to drive the New App form.
asc-aso-audit
Run an offline ASO audit on canonical App Store metadata under `./metadata` and surface keyword gaps using Astro MCP. Use after pulling metadata with `asc metadata pull`.
asc-build-lifecycle
Track build processing, find latest builds, and clean up old builds with asc. Use when managing build retention or waiting on processing.
asc-cli-usage
Guidance for using asc cli in this repo (flags, output formats, pagination, auth, and discovery). Use when asked to run or design asc commands or interact with App Store Connect via the CLI.
asc-crash-triage
Triage TestFlight crashes, beta feedback, and performance diagnostics using asc. Use when the user asks about TF crashes, TestFlight crash reports, beta tester feedback, app hangs, disk writes, launch diagnostics, or wants a crash summary for a build or app.
asc-id-resolver
Resolve App Store Connect IDs (apps, builds, versions, groups, testers) from human-friendly names using asc. Use when commands require IDs.
asc-localize-metadata
Automatically translate and sync App Store metadata (description, keywords, what's new, subtitle) to multiple languages using LLM translation and asc CLI. Use when asked to localize an app's App Store listing, translate app descriptions, or add new languages to App Store Connect.
asc-metadata-sync
Sync and validate App Store metadata and localizations with asc, including legacy metadata format migration. Use when updating metadata or translations.
asc-notarization
Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization.
asc-ppp-pricing
Set territory-specific pricing for subscriptions and in-app purchases using current asc setup, pricing summary, price import, and price schedule commands. Use when adjusting prices by country or implementing localized PPP strategies.
asc-release-flow
Determine whether an app is ready to submit, then drive the App Store release flow with asc, including first-time submission fixes for availability, in-app purchases, subscriptions, Game Center, and App Privacy.
asc-revenuecat-catalog-sync
Reconcile App Store Connect subscriptions and in-app purchases with RevenueCat products, entitlements, offerings, and packages using asc and RevenueCat MCP. Use when setting up or syncing subscription catalogs across ASC and RevenueCat.
asc-screenshot-resize
Resize and validate App Store screenshots for all device classes using macOS sips. Use when preparing or fixing screenshots for App Store Connect submission.
asc-shots-pipeline
Orchestrate iOS screenshot automation with xcodebuild/simctl for build-run, AXe for UI actions, JSON settings and plan files, Koubou-based framing (`asc screenshots frame`), and screenshot upload (`asc screenshots upload`). Use when users ask for automated screenshot capture, AXe-driven simulator flows, frame composition, or screenshot-to-upload pipelines.
asc-signing-setup
Set up bundle IDs, capabilities, signing certificates, provisioning profiles, and encrypted signing sync with the asc cli. Use when onboarding a new app, rotating signing assets, or sharing them across a team.
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