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Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
pre-ship-gate
A ship gate that runs before any production deploy: checks the silent failure modes that make a deploy 'succeed' while prod stays broken, then verifies the live revision instead of trusting deploy out
skill-installer
Instala, valida, registra e verifica novas skills no ecossistema. 10 checks de seguranca, copia, registro no orchestrator e verificacao pos-instalacao.
vibecode-production-qa-validator
13-phase production QA for fullstack Next.js apps: build verification, SEO tags, OG images, favicon, route regression, API auth, page speed, lazy load, vulnerability scan, UI/UX cards, error boundarie
model-deployment
Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.
ai-engineer-expert
Expert-level AI implementation, deployment, LLM integration, and production AI systems. Use when the user mentions AI engineering, LLM, deployment, production AI, or integration, or when the task invo
cicd-expert
Expert-level CI/CD with GitHub Actions, Jenkins, deployment pipelines, and automation. Use when the user mentions CI/CD, GitHub Actions, Jenkins, GitLab CI, deployment, or automation, or when the task
helm-expert
Expert-level Helm 3 package management, chart development, templating, and production operations. Use when the user mentions Kubernetes, package manager, charts, templates, or deployment, or when the
huawei-cloud-ecs-dsh-deploy
Huawei Cloud Flexus X Instance Deployment - DeepSeek Harness (dsh). ⚠️ Deployment involves actual charges, must confirm region/flavor/billing mode with user before execution. Triggers include: "部署Deep
huawei-cloud-ecs-sqlbot-deploy
Purchase Huawei Cloud X Instance server + one-click deploy SQLBot intelligent query application. Tech stack: Python 3.8+, Huawei Cloud SDK, COC (Cloud Operations Center) deployment. Key capabilities:
huawei-cloud-cci-instance-management
Huawei Cloud CCI (Cloud Container Instance) full lifecycle management using hcloud CLI. Covers Namespace, Network, Deployment, StatefulSet, Pod creation/update/delete/status, EIPPool for public IP, lo
express-production
Production-ready Express.js development covering middleware architecture, error handling, security hardening, testing strategies, and deployment patterns
kubernetes
Kubernetes operations playbook for deploying services: core objects, probes, resource sizing, safe rollouts, and fast kubectl debugging
ml-ops-engineer
MLOps across model deployment, ML pipelines, monitoring, and feature stores. Use when deploying models to production, building training pipelines, setting up drift detection, configuring feature store
devops-workflow-engineer
Generate and optimize GitHub Actions CI/CD workflows. Use when designing workflows, planning multi-environment deployments, optimizing pipeline cost and runtime, or implementing blue- green, canary, o
delivery-manager
Expert delivery management for release planning, deployment strategy, incident response, change management, SLA/error-budget tracking, and DORA metrics across continuous delivery pipelines.
kubectl-skill
Execute and manage Kubernetes clusters via kubectl commands. Query resources, deploy applications, debug containers, manage configurations, and monitor cluster health. Use when working with Kubernetes
building-automl-pipelines
Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning. Use when automating ML workflows from data preparation through model deployment. Trigge
adk-deployment-specialist
Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages AgentCard discovery, task submission, Code Execution Sandbox, and Memory Bank. Use when asked to "deploy ADK agent" or "orchestr
genkit-production-expert
Build production Firebase Genkit applications including RAG systems, multi-step flows, and tool calling for Node.js/Python/Go. Deploy to Firebase Functions or Cloud Run with AI monitoring. Use when as
vertex-engine-inspector
Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture. Generates production readiness scores. Use when as
deploying-machine-learning-models
Deploy this skill enables AI assistant to deploy machine learning models to production environments. it automates the deployment workflow, implements best practices for serving models, optimizes perfo
generating-stored-procedures
Use when you need to generate, validate, or deploy stored procedures for PostgreSQL, MySQL, or SQL Server. Creates database functions, triggers, and procedures with proper error handling and transacti
building-cicd-pipelines
Execute use when you need to work with deployment and CI/CD. This skill provides deployment automation and pipeline orchestration with comprehensive guidance and automation. Trigger with phrases like
managing-container-registries
Execute use when you need to work with containerization. This skill provides container management and orchestration with comprehensive guidance and automation. Trigger with phrases like "containerize
Find
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Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
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Prefer the terminal? osr stack apply registry://starter installs the starter template.