Execute mcloud deployments commands to list deployments, retrieve deployment details, and fetch build logs.
Production deployment patterns for MCP servers including Docker, cloud platforms, monitoring, and scalabilityUse when "mcp deployment, deploy mcp server, mcp docker, mcp…
Build Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing.
Connect agents to MCP servers using stdio or HTTP transport, with automatic Docker lifecycle management and transport auto-detection.
Download videos from m3u8/HLS streams, Bilibili, and direct URLs using MediaGo. 下载视频、m3u8直播流、B站视频。 Triggers on: download video, 下载视频, 下载这个链接, 帮我下载, m3u8 download, 设置mediago地址,…
Use when implementing Lightning Message Service (LMS) to enable cross-DOM communication between LWC, Aura, and Visualforce components on the same Lightning page, using message…
Uses the Metabase REST API to export question results as CSV and render dashboard PNGs on schedule. Compares key metrics against user-defined thresholds and fires alerts to…
Assessing metadata type coverage across Salesforce deployment channels (Metadata API, SFDX, unlocked packages, managed packages) and mapping component dependency graphs using…
Use when comparing metadata between two Salesforce orgs (UAT vs Prod, dev sandbox vs full copy, fork sandbox vs source) to surface drift, identify items needing deployment, or…
MicroK8s snap kurulumu ve kümenin temel hazır hale getirilmesi için kullanılır; COS öncesi zorunlu adımdır.
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…
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…
End-to-end dev workflow for the minds app stack -- first-time bring-up, every-startup vendor/mngr sync, and the iteration loop against a running Docker agent.
Deploy Miro REST API v2 integrations to Vercel, Fly.io, and Cloud Run with proper OAuth token management and webhook configuration.
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…
Help users set up mirrord in CI pipelines for testing against real Kubernetes environments. Use when users want to run end-to-end tests, integration tests, or automated tests in…
Helps users generate, edit, and validate mirrord.json configuration files for mirrord (MetalBear). Use when the user wants to connect their local process to a Kubernetes…
Help users install and configure the mirrord operator for team environments. Use when users ask about operator setup, Helm installation, licensing, or multi-user mirrord…
Guide users from zero to their first working mirrord session. Use when a user is new to mirrord, wants to install it, or needs help running their first session connecting to a…
Generate an operational runbook through Mission Control. Use when the user wants RUNBOOK.md or a chat-native runbook covering startup, tests, build, debugging, local reset, logs,…
Switch Mission Control toward local-first behavior. Use when the user wants local files, local models, no cloud deployment, and no external APIs unless explicitly approved.
Route TensorFlow Lite export and edge-readiness checks through Mission Control with explicit artifact and constraint validation.
Deploy Mistral AI integrations to Vercel, Docker, and Cloud Run platforms. Use when deploying Mistral AI-powered applications to production, configuring platform-specific secrets,…
Configure Mistral AI across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or…
Execute Mistral AI production deployment checklist and rollback procedures. Use when deploying Mistral AI integrations to production, preparing for launch, or implementing go-live…
Expert MLOps engineering covering model deployment, ML pipelines, model monitoring, feature stores, and infrastructure automation.
Use when the user wants to verify code, config, or math before running — or proactively before any expensive training job or deployment
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback.
Cloud database platform specialist covering Neon (serverless PostgreSQL), Supabase (PostgreSQL 16 with real-time), and Firebase Firestore (NoSQL with offline sync).
Deployment and hosting platform specialist covering Vercel, Railway, and Convex. Use when deploying applications, configuring edge functions, setting up continuous deployment, or…
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…
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or…
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,…
Deploy AI workloads to serverless GPU/CPU with Modal — define @app.function with GPU/memory specs, build custom container images, run batch jobs and web endpoints, schedule cron…
Generates a Jupyter notebook that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock.
Model Drift Detector - Auto-activating skill for ML Deployment. Triggers on: model drift detector, model drift detector Part of the ML Deployment skill category.
Model Export Helper - Auto-activating skill for ML Deployment. Triggers on: model export helper, model export helper Part of the ML Deployment skill category.
Model Pruning Helper - Auto-activating skill for ML Deployment. Triggers on: model pruning helper, model pruning helper Part of the ML Deployment skill category.
Model Quantization Tool - Auto-activating skill for ML Deployment. Triggers on: model quantization tool, model quantization tool Part of the ML Deployment skill category.
Model Versioning Manager - Auto-activating skill for ML Deployment. Triggers on: model versioning manager, model versioning manager Part of the ML Deployment skill category.
Builds fund economic models with sensitivity across deployment pace, exit multiples, and fee/carry structures for LP and GP returns.
Curated bundle for managing monorepos with containerized deployment pipelines. Includes monorepo management, Docker containerization, CI/CD deployment, and coding standards.
Guides creation of Monte Carlo monitors via MCP tools, producing monitors-as-code YAML for CI/CD deployment.
Designing, orchestrating, and maintaining multi-package architectures in Salesforce DX: dependency DAG design, layered package decomposition, install ordering, cross-package API…
Use when users ask about MyBrain, what it does, how it works, what tools are available, or how to use the personal knowledge base.
NASA Systems Engineering methodology mapped to cloud operations. Use when planning, executing, verifying, or documenting OpenStack cloud infrastructure following NASA SP-6105 and…
Use when deploying Navan integrations with ERP systems (NetSuite, Sage Intacct, Xero), HRIS platforms (Workday, BambooHR), or identity providers (Okta, Azure AD).
Interactive config wizard for NeMo Evaluator Launcher (NEL). Use when the user wants to create a new evaluation config from scratch, set up an evaluation from existing configs, or…
Cut a new semver release — bump all version strings via bump-version.ts, open a release PR, and after merge tag main and push.
Install and configure NVIDIA NemoClaw (sandboxed OpenClaw agent platform) on Linux. Handles cloudflared tunnels, Docker cgroup fixes, OpenShell, sandbox creation, remote access…
Explains how to run NemoClaw on a remote GPU instance, including the deprecated Brev compatibility path and the preferred installer plus onboard flow.
Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time.
Reference desk for Nemotron 3 Nano / Llama-Nemotron Nano 3 — architecture, training data, recipes, evaluation, quantization, deployment.
Reference desk for NVIDIA Nemotron 3 Super — architecture, training data, recipes (pretrain/SFT/RL/eval/quantization), and deployment notes.
The Neon MCP Server enables AI agents to manage serverless PostgreSQL databases through natural language via the Model Context Protocol.
Configures Neon Serverless Driver for Next.js, Vercel Edge Functions, AWS Lambda, and other serverless environments.
Neon's official MCP server translates natural language requests into Neon API calls, letting AI agents create projects, manage branches, run SQL queries, and perform database…
Pre-deployment validation of Cisco IOS/IOS-XE configuration — catching missing saves, mismatched ACLs, overlapping subnets, duplicate IPs, missing route-maps, and dangerous…
Scaffold a new SkyWalking Python instrumentation plugin with all required files (plugin code, tests, docker-compose, expected data, services)
Expert assistance for next-forge — a production-grade Turborepo template for Next.js SaaS apps. Triggers on questions about next-forge installation, setup, architecture, packages,…