Embedded firmware development for microcontrollers including memory-mapped I/O, GPIO, interrupts, timers, UART/SPI/I2C serial protocols, PWM generation, ADC sampling,…
Score 70/100
Expert guidance for Micronaut framework development with compile-time dependency injection, GraalVM native builds, and cloud-native microservices
Score 70/100
Guidelines for building production-grade microservices with FastAPI/Python and Go, covering serverless patterns, clean architecture, observability, and resilience.
Score 70/100
Designs distributed system architectures, decomposes monoliths into bounded-context services, recommends communication patterns, and produces service boundary diagrams and…
Score 70/100
Conception et découpage d'architecture microservices. À utiliser pour concevoir ou migrer vers des microservices.
Score 70/100
Master microservices architecture patterns including service boundaries, inter-service communication, data management, and resilience patterns for building distributed systems.
Score 70/100
Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.
Score 70/100
Microsoft Entra Authentication Events SDK for .NET. Azure Functions triggers for custom authentication extensions.
Score 70/100
Microsoft Fabric workspace management, governance, REST API patterns, and medallion architecture implementation
Score 70/100
Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, container start, batch eval, prompt optimization, prompt optimizer…
Score 70/100
Microsoft Playwright MCP exposes Playwright browser automation through the Model Context Protocol, giving agents structured page access instead of screenshot-only workflows.
Score 70/100
Generates and optimizes Midjourney prompts using the Midjourney API with automatic parameter tuning for aspect ratios, stylize values, and chaos settings.
Score 70/100
Comprehensive guide for migrating PostgreSQL tables to TimescaleDB hypertables with optimal configuration and performance validation
Score 70/100
Switch this repository from one nyann profile to another. TRIGGER ON: 'switch profile', 'migrate profile', 'change this repo profile', 'switch from X to Y', 'change profile to',…
Score 70/100
Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
Score 70/100
Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce…
Score 70/100
Provides the complete Swift Concurrency Migration Guide. Use when migrating to Swift 6, resolving data-race safety errors, understanding Sendable and actor isolation, or…
Score 70/100
Migration guides for CoreData to SwiftData, UIKit to SwiftUI, ObservableObject to @Observable, XCTest to Swift Testing, Objective-C to Swift, and StoreKit 1 to StoreKit 2.
Score 70/100
Écrire des migrations PostgreSQL sûres. Utiliser quand on modifie le schéma DB — CREATE, ALTER ou DROP une table.
Score 70/100
Verify database migrations are safe before running them. Checks that migrations apply cleanly, reverse cleanly, preserve data integrity, are idempotent, and will not lock tables…
Score 70/100
Build MindNode-inspired mind mapping interfaces — 8 node shapes, 27+ themes, layout algorithms (horizontal, vertical, radial with D3), keyboard shortcuts, focus mode, dual view.
Score 70/100
Optimize MindTickle API integration performance with caching, bulk progress queries, and webhook processing.
Score 70/100
Reference Architecture for MindTickle. Trigger: "mindtickle reference architecture".
Score 70/100
MiniQMT 迅投量化交易接口，基于 XtQuant Python 库，支持 A 股/期货/期权的行情数据获取（K线、分笔、财务数据等）和交易下单（报单、撤单、查询资产/委托/持仓）。当用户需要获取miniqmt实时/历史行情、进行量化交易、回测数据时使用
Score 70/100
Configure CI/CD pipelines for Miro REST API v2 integrations with GitHub Actions, test board isolation, and automated validation.
Score 70/100
Diagnose and fix Miro REST API v2 errors by HTTP status code. Use when encountering Miro API errors, debugging failed requests, or troubleshooting authentication and permission…
Score 70/100
Collect Miro REST API v2 diagnostic evidence for support tickets. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Miro…
Score 70/100
Deploy Miro REST API v2 integrations to Vercel, Fly.io, and Cloud Run with proper OAuth token management and webhook configuration.
Score 70/100
Create a minimal working Miro example with real board and item operations. Use when starting a new Miro integration, testing your setup, or learning the Miro REST API v2 item…
Score 70/100
Configure Miro local development with hot reload, testing, and ngrok tunneling. Use when setting up a development environment, configuring test workflows, or establishing a fast…
Score 70/100
Optimize Miro REST API v2 performance with caching, cursor pagination, request batching, and connection pooling for high-throughput integrations.
Score 70/100
Execute Miro REST API v2 production deployment checklist and rollback procedures. Use when deploying Miro integrations to production, preparing for launch, or implementing go-live…
Score 70/100
Implement Miro REST API v2 rate limiting with the credit-based system, exponential backoff, and request queuing.
Score 70/100
Implement a production-ready reference architecture for Miro REST API v2 integrations with layered design, caching, and event processing.
Score 70/100
Configure environment variables and project settings using mise [env] as the single source of truth. Use whenever the user needs to set up mise.toml, centralize environment…
Score 70/100
List past mistakes engram has learned in this project — failures, regressions, broken assumptions. Use before starting a non-trivial change to surface relevant prior failures, or…
Score 70/100
Configure Mistral AI CI/CD integration with GitHub Actions and prompt testing. Use when setting up automated testing, prompt regression suites, or integrating Mistral AI quality…
Score 70/100
Diagnose and fix Mistral AI common errors and exceptions. Use when encountering Mistral errors, debugging failed requests, or troubleshooting integration issues.
Score 70/100
Collect Mistral AI debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information…
Score 70/100
Deploy Mistral AI integrations to Vercel, Docker, and Cloud Run platforms. Use when deploying Mistral AI-powered applications to production, configuring platform-specific secrets,…
Score 70/100
Create a minimal working Mistral AI chat completion example. Use when starting a new Mistral integration, testing your setup, or learning basic Mistral API patterns.
Score 70/100
Configure Mistral AI local development with hot reload, testing, and mocking. Use when setting up a development environment, configuring test workflows, or establishing a fast…
Score 70/100
Execute migration to Mistral AI from OpenAI, Anthropic, or other providers. Use when migrating to Mistral AI from another provider, performing major refactoring, or re-platforming…
Score 70/100
Configure Mistral AI across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or…
Score 70/100
Optimize Mistral AI performance with caching, batching, and latency reduction. Use when experiencing slow API responses, implementing caching strategies, or optimizing request…
Score 70/100
Execute Mistral AI production deployment checklist and rollback procedures. Use when deploying Mistral AI integrations to production, preparing for launch, or implementing go-live…
Score 70/100
Implement Mistral AI rate limiting, backoff, and request management. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for…
Score 70/100
Implement Mistral AI reference architecture with best-practice project layout. Use when designing new Mistral AI integrations, reviewing project structure, or establishing…
Score 70/100
Mitosis lets you write UI components once and compile them to React, Vue, Angular, Svelte, Solid, Qwik, and more.
Score 70/100
MkDocs with Material theme expertise for Python-centric documentation. Configure navigation, plugins, multi-language support, PDF export, and advanced Material theme features.
Score 70/100
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.
Score 70/100
Prevents 30+ critical AI/ML mistakes including data leakage, evaluation errors, training pitfalls, and deployment issues.
Score 70/100
Patterns for efficient ML data pipelines using Polars, Arrow, and ClickHouse. TRIGGERS - data pipeline, polars vs pandas, arrow format, clickhouse ml, efficient loading,…
Score 70/100
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring.
Score 70/100
Déploiement de modèles ML en production (MLOps). Se déclenche avec "déployer un modèle", "ML deployment", "MLOps", "model serving", "inference", "model registry", "ML pipeline",…
Score 70/100
Expert MLOps engineering covering model deployment, ML pipelines, model monitoring, feature stores, and infrastructure automation.
Score 70/100
Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment.
Score 70/100
MLflow experiment tracking via Python API. TRIGGERS - MLflow metrics, log backtest, experiment tracking, search runs.
Score 70/100
AI-powered enterprise web application testing orchestrator with Context7 integration, intelligent test generation, visual regression testing, cross-browser coordination, and…
Score 70/100
Mobile app design, development, testing, deployment, and optimization. React Native, Flutter, Swift, Kotlin.
Score 70/100