Architecture d'applications mobiles (native, cross-platform, hybrid). Se déclenche avec "architecture mobile", "app mobile", "native vs cross-platform", "Flutter vs React Native",…
Score 70/100
Set up mobile CI/CD pipelines for Flutter, React Native, or native iOS/Android — GitHub Actions workflows for testing, code signing, TestFlight/Play Store distribution, build…
Score 70/100
Debug React Native apps including metro bundler issues, native errors, performance problems, and crash analysis. Use when troubleshooting errors or investigating issues.
Score 70/100
Develop React Native, Flutter, or native mobile apps with modern architecture patterns. Masters cross-platform development, native integrations, offline sync, and app store…
Score 70/100
Profile and audit mobile app performance -- cold/warm/hot startup time, memory leaks, battery drain, network efficiency, frame rate jank, and binary size.
Score 70/100
GPU architecture, precision types, fillrate, overdraw, baked lighting, and LOD optimization for Unity mobile/WebGL shaders
Score 70/100
Write and run tests for React Native apps using Jest and React Native Testing Library. Use when creating tests, debugging failures, or setting up test infrastructure.
Score 70/100
Generates Mocha tests in JavaScript with Chai assertions and Sinon mocking. Use when user mentions "Mocha", "Chai", "sinon", "describe/it (not Jest)".
Score 70/100
Mocha Test Setup - Auto-activating skill for Test Automation. Triggers on: mocha test setup, mocha test setup Part of the Test Automation skill category.
Score 70/100
Use AiMock when an agent needs reproducible tests around LLM APIs, MCP tools, A2A flows, vector stores, search, or moderation services without depending on live providers.
Score 70/100
Guides users on creating mock implementations for testing with traits, providing test doubles, and avoiding tight coupling to test infrastructure.
Score 70/100
Generate mock API servers for testing and development with realistic response data. Use when creating mock APIs for development and testing.
Score 70/100
Mockoon is the fastest way to run mock REST APIs locally. It provides a desktop application and a CLI for creating mock API servers with dynamic response templates, proxy mode,…
Score 70/100
Upgrade shared Modal runtime dependencies in kernelbot and verify them end to end. Use when changing torch/CUDA or other shared Modal image dependencies, deploying the Modal app,…
Score 70/100
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral).
Score 70/100
State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design.
Score 70/100
Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy.
Score 70/100
RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project.
Score 70/100
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP).
Score 70/100
Use when configuring Model Builder in Salesforce to register external LLMs or select standard models for Agentforce and Einstein features.
Score 70/100
Model Drift Detector - Auto-activating skill for ML Deployment. Triggers on: model drift detector, model drift detector Part of the ML Deployment skill category.
Score 70/100
Model Export Helper - Auto-activating skill for ML Deployment. Triggers on: model export helper, model export helper Part of the ML Deployment skill category.
Score 70/100
Model Pruning Helper - Auto-activating skill for ML Deployment. Triggers on: model pruning helper, model pruning helper Part of the ML Deployment skill category.
Score 70/100
Model Quantization Tool - Auto-activating skill for ML Deployment. Triggers on: model quantization tool, model quantization tool Part of the ML Deployment skill category.
Score 70/100
Model Registry Manager - Auto-activating skill for ML Deployment. Triggers on: model registry manager, model registry manager Part of the ML Deployment skill category.
Score 70/100
Script realistic user flows in Python and fan them out across workers so agents can pressure-test services before rollout.
Score 70/100
Model Versioning Manager - Auto-activating skill for ML Deployment. Triggers on: model versioning manager, model versioning manager Part of the ML Deployment skill category.
Score 70/100
Comprehensive guide for mastering modern JavaScript (ES6+) features, functional programming patterns, and best practices for writing clean, maintainable, and performant code.
Score 70/100
Configures Python projects with modern tooling (uv, ruff, ty). Use when creating projects, writing standalone scripts, or migrating from pip/Poetry/mypy/black.
Score 70/100
Modern web development best practices for TypeScript, Next.js 14, React Server Components, Supabase, GraphQL, and Tailwind CSS.
Score 70/100
Use when converting existing code to modular architecture. Detects Laravel (FuseCore or standard) / Next.js / React and applies correct modular patterns.
Score 70/100
Use when asked to audit a module, check its health, or assess whether it should be refactored. Runs structural query, risk check, and test generation automatically.
Score 70/100
Modular architecture health assessor for Logseq Template Graph. Analyzes module balance, cohesion, size distribution, and dependencies.
Score 70/100
Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing…
Score 70/100
MongoDB schema design, aggregation pipelines, indexing strategies, and performance.
Score 70/100
MongoDB development guidelines with Payload CMS, Mongoose, aggregation pipelines, and TypeScript best practices.
Score 70/100
Modélisation et requêtes MongoDB. Se déclenche avec "MongoDB", "Mongo", "NoSQL", "aggregation pipeline", "sharding", "replica set
Score 70/100
The official MongoDB MCP server connects AI agents to MongoDB databases and Atlas clusters through the Model Context Protocol, enabling structured queries, collection management,…
Score 70/100
Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is…
Score 70/100
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema…
Score 70/100
OpenStack monitoring operations skill for deploying, configuring, and operating the cloud health monitoring stack.
Score 70/100
Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing.
Score 70/100
Use when implementing game monitoring, structured logging, player telemetry, alerting rules, or performance budgets.
Score 70/100
Monitoring and observability for Next.js — Sentry error tracking, structured logging with Pino, OpenTelemetry tracing, health checks, uptime monitoring, alerting.
Score 70/100
Monitoring et observabilité pour agents IA en production. Traces, métriques, alertes. Se déclenche avec "monitoring agent", "observabilité agent", "LangSmith", "traces agent",…
Score 70/100
Monolith is a CLI tool and Rust library that saves complete web pages as a single HTML file by embedding CSS, images, JavaScript, and fonts as data URLs.
Score 70/100
Best practices for monorepo development with TypeScript, React, Next.js, Expo, Turbo, and related technologies
Score 70/100
Expert in monorepo architecture, build systems, and dependency management at scale. Masters Nx, Turborepo, Bazel, and Lerna for efficient multi-project development.
Score 70/100
Navigate, manage, and optimize monorepos with Turborepo, Nx, pnpm workspaces, and Changesets. Covers cross-package impact analysis, selective builds, dependency graph…
Score 70/100
Monorepo development guidelines using Tamagui, Turbo, Next.js, Expo, Supabase, and cross-platform best practices.
Score 70/100
Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.
Score 70/100
moonrepo monorepo task-management guidelines. Apply when editing `.moon/` configs or `moon.yml` files.
Score 70/100
Expert guidelines for building performant animations with Motion (formerly Motion One) vanilla JavaScript animation library
Score 70/100
Complete production-ready guide for Motion Canvas with ESM/CommonJS workarounds, full setup templates, and troubleshooting for programmatic video creation using TypeScript
Score 70/100
Architecture de messaging IoT avec MQTT incluant brokers, topics, QoS, sécurité et patterns. Se déclenche avec "MQTT", "broker MQTT", "Mosquitto", "IoT messaging", "topic MQTT",…
Score 70/100
Generates MSTest tests in C#. Microsoft's built-in testing framework for .NET. Use when user mentions "MSTest", "[TestMethod]", "[TestClass]", "Assert.AreEqual".
Score 70/100
Use when designing or evaluating MuleSoft Anypoint Platform deployment topology, runtime model selection, API governance with API Manager, or Anypoint Exchange strategy.
Score 70/100
Bootstrap and migrate an OpenClaw workspace from single-agent to beginner-friendly multi-agent mode with visible routing.
Score 70/100
Use when coordinating multiple concurrent agents that need to communicate, share state, synchronize work, and handle distributed failures across a system.
Score 70/100
Multi-agent parallel E2E validation for database refactors. TRIGGERS - E2E validation, schema migration testing, database refactor validation.
Score 70/100