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Install and configure Mistral AI SDK/CLI authentication.\nUse when setting up a new Mistral integration, configuring API keys,\nor initializing Mistral AI in your project.\nTrigger with phrases like \

Configure Mistral AI local development with hot reload and testing.\nUse when setting up a development environment, configuring test workflows,\nor establishing a fast iteration cycle with Mistral AI.\nTrigger with phrases like \

Execute Mistral AI major migrations and re-architecture strategies.\nUse when migrating to Mistral AI from another provider, performing major refactoring,\nor re-platforming existing AI integrations to Mistral AI.\nTrigger with phrases like \

Set up comprehensive observability for Mistral AI integrations with metrics, traces, and alerts.\nUse when implementing monitoring for Mistral AI operations, setting up dashboards,\nor configuring alerting for Mistral AI integration health.\nTrigger with phrases like \

Optimize Mistral AI performance with caching, batching, and latency reduction.\nUse when experiencing slow API responses, implementing caching strategies,\nor optimizing request throughput for Mistral AI integrations.\nTrigger with phrases like \

Execute Mistral AI production deployment checklist and rollback procedures.\nUse when deploying Mistral AI integrations to production, preparing for launch,\nor implementing go-live procedures.\nTrigger with phrases like \

Implement Mistral AI rate limiting, backoff, and request management.\nUse when handling rate limit errors, implementing retry logic,\nor optimizing API request throughput for Mistral AI.\nTrigger with phrases like \

Implement Mistral AI reference architecture with best-practice project layout.\nUse when designing new Mistral AI integrations, reviewing project structure,\nor establishing architecture standards for Mistral AI applications.\nTrigger with phrases like \

Apply production-ready Mistral AI SDK patterns for TypeScript and Python.\nUse when implementing Mistral integrations, refactoring SDK usage,\nor establishing team coding standards for Mistral AI.\nTrigger with phrases like \

Apply Mistral AI security best practices for secrets and access control.\nUse when securing API keys, implementing least privilege access,\nor auditing Mistral AI security configuration.\nTrigger with phrases like \

Analyze, plan, and execute Mistral AI SDK upgrades with breaking change detection.\nUse when upgrading Mistral SDK versions, detecting deprecations,\nor migrating to new API versions.\nTrigger with phrases like \

Mixed Precision Trainer - Auto-activating skill for ML Training.\nTriggers on: mixed precision trainer, mixed precision trainer\nPart of the ML Training skill category.

Mkdocs Config Generator - Auto-activating skill for Technical Documentation.\nTriggers on: mkdocs config generator, mkdocs config generator\nPart of the Technical Documentation skill category.

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

Configure mlflow tracking setup operations. Auto-activating skill for ML Training.\nTriggers on: mlflow tracking setup, mlflow tracking setup\nPart of the ML Training skill category. Use when working with mlflow tracking setup functionality. Trigger with phrases like \

Expertise in MLIR (Multi-Level Intermediate Representation) and CIR (Clang IR) development for domain-specific compilation and high-level optimizations. Use this skill when building ML compilers, domain-specific languages, or working with multi-level compilation pipelines.

Guide to refine MLOps projects with task automation, containerization, CI/CD pipelines, and robust experiment tracking.

Guide to prepare MLOps projects for sharing, collaboration, and community engagement.

Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools. Implements automated training, deployment, and monitoring across cloud platforms. Use PROACTIVELY for ML infrastructure, experiment management, or pipeline

Guide to transform prototypes into robust, distributable Python packages using the src layout, hybrid paradigm, and strict configuration management.

Guide to initialize a new MLOps project with standard tools (uv, git, VS Code) and best practices.

Guide to implement full stack observability including reproducibility, lineage, monitoring, alerting, and explainability.

Guide to create structured, reproducible Jupyter notebooks for MLOps prototyping, emphasizing configuration management and pipeline integrity.

Guide to implement rigorous validation layers including static analysis, automated testing, structured logging, and security scanning.

Speech-To-Text with MLX (Apple Silicon) and GLM-ASR.

MoAI super agent - unified orchestrator for autonomous development. Routes natural language or explicit subcommands (plan, run, sync, fix, loop, project, feedback) to specialized agents. Use for any development task from planning to deployment.

Documentation generation patterns for technical specs, API docs, user guides, and knowledge bases using real tools like Sphinx, MkDocs, TypeDoc, and Nextra. Use when creating docs from code, building doc sites, or automating documentation workflows.

Backend development specialist covering API design, database integration, microservices architecture, and modern backend patterns.

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Frontend development specialist covering React 19, Next.js 16, Vue 3.5, and modern UI/UX patterns with component architecture. Use when building web UIs, implementing components, optimizing frontend performance, or integrating state management.

Domain UI/UX Expert - Enterprise design systems, component architecture, accessibility, icons, and theming integration.

Data format specialist covering TOON encoding, JSON/YAML optimization, serialization patterns, and data validation for modern applications. Use when optimizing data for LLM transmission, implementing high-performance serialization, validating data schemas, or converting between

Canonical Claude Code authoring kit covering Skills, sub-agents, plugins, slash commands, hooks, memory, settings, sandboxing, headless mode, and advanced agent patterns. Use when creating Claude Code extensions or configuring Claude Code features.

Enterprise context and session management with token budget optimization and state persistence

Enterprise code quality orchestrator with TRUST 5 validation, proactive analysis, and automated best practices enforcement

Electron 33+ desktop app development specialist covering Main/Renderer process architecture, IPC communication, auto-update, packaging with Electron Forge and electron-builder, and security best practices. Use when building cross-platform desktop applications, implementing

Modern C++ (C++23/C++20) development specialist covering RAII, smart pointers, concepts, ranges, modules, and CMake. Use when developing high-performance applications, games, system software, or embedded systems.

C# 12 / .NET 8 development specialist covering ASP.NET Core, Entity Framework, Blazor, and modern C# patterns. Use when developing .NET APIs, web applications, or enterprise solutions.

Elixir 1.17+ development specialist covering Phoenix 1.7, LiveView, Ecto, and OTP patterns. Use when developing real-time applications, distributed systems, or Phoenix projects.

Flutter 3.24+ / Dart 3.5+ development specialist covering Riverpod, go_router, and cross-platform patterns. Use when building cross-platform mobile apps, desktop apps, or web applications with Flutter.

Java 21 LTS development specialist covering Spring Boot 3.3, virtual threads, pattern matching, and enterprise patterns. Use when building enterprise applications, microservices, or Spring projects.

JavaScript ES2024+ development specialist covering Node.js 22 LTS, Bun 1.x (serve, SQLite, S3, shell, test), Deno 2.x, testing (Vitest, Jest), linting (ESLint 9, Biome), and backend frameworks (Express, Fastify, Hono). Use when developing JavaScript APIs, web applications, or

Kotlin 2.0+ development specialist covering Ktor, coroutines, Compose Multiplatform, and Kotlin-idiomatic patterns. Use when building Kotlin server apps, Android apps, or multiplatform projects.

PHP 8.3+ development specialist covering Laravel 11, Symfony 7, Eloquent ORM, and modern PHP patterns. Use when developing PHP APIs, web applications, or Laravel/Symfony projects.

Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or writing tests.