部署与运维
4,382 个结果
- Serving Llms On EpycAMDServes an LLM on a supported AMD EPYC server CPU using vLLM with zentorch, in Docker, Podman, or conda. Use for "vLLM on CPU", "zentorch serving", or an EPYC CPU endpoint, including on a host that also has AMD Instinct GPUs. Detects the EPYC generation, validates the runtime, checks model support and RAM fit, sizes threads/KV/NUMA, confirms the plan, launches, and verifies the endpoint.
- Serving Llms On InstinctAMDServes AI models on AMD Instinct GPU hardware using vLLM. Use this skill whenever the user wants to run, serve, deploy, start, host, or launch a language model on an AMD GPU, AMD Instinct, MI300X, MI325X, MI350X, or MI355X. Also use when the user mentions vLLM on ROCm, vLLM on AMD, serving on HBM, or asks how to get a model running on AMD data center hardware.
- Worktree SpawnaztecprotocolSpawn an independent Claude instance in a git worktree to work on a task in parallel. Use when the user wants to delegate a task to run independently while continuing the current conversation.
- Docker Containerizationailabs-393This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to various platforms. Ideal for Next.js, React, Node.js applications requiring containerization for development, production, or CI/CD pipelines.
- Personal Assistantailabs-393This skill should be used whenever users request personal assistance tasks such as schedule management, task tracking, reminder setting, habit monitoring, productivity advice, time management, or any query requiring personalized responses based on user preferences and context.
- Airflow State StoreAstronomerPersists task and asset state across retries and DAG runs using Airflow 3.3's AIP-103 key/value stores (`task_state_store`, `asset_state_store`) and the crash-safe `ResumableJobMixin`. Use when the user asks about task state store, checkpointing in tasks, persisting state across retries, job IDs surviving worker crashes, watermarks, asset metadata, resumable tasks, crash-safe operators, or…
- Authoring Go Sdk TasksAstronomerWrites Airflow task logic in Go using the Airflow Go SDK. Use when the user wants to implement Airflow tasks in Go, asks about `BundleProvider`/`RegisterDags`, the `bundlev1` Registry/Dag interfaces, registering Go tasks (`AddTask`/`AddTaskWithName`), dependency injection by parameter type (`context.Context`, `sdk.TIRunContext`, `*slog.Logger`, `sdk.Client`), or reading connections/variables/XCom…
- Authoring Java Sdk TasksAstronomerWrites Airflow task logic in Java, Kotlin, or any JVM language using the Airflow Java SDK. Use when the user wants to implement Airflow tasks in Java/JVM, asks about `@Builder.Dag`/`@Builder.Task`/`@Builder.XCom`, the `Task`/`BundleBuilder` interfaces, reading connections/variables/XComs from Java, the JSON-to-Java type mapping, or logging from Java tasks.
- Deploying AirflowAstronomerDeploys Airflow DAGs and projects. Use when deploying Airflow or answering anything about deployment - deploying DAGs/projects, pushing code, setting up CI/CD, deploying to production or deployment strategies for Airflow.
- Deploying Go Sdk BundlesAstronomerBuilds, packs, and deploys compiled Airflow Go SDK bundles so the ExecutableCoordinator can run them. Use when the user wants to compile a Go task bundle, asks about `go build`, `go tool airflow-go-pack`, the AFBNDL01 self-contained executable bundle, packing or inspecting a bundle, placing it under `executables_root`, cross-compiling a bundle for workers, `go-sdk` module versioning/tags/pseudo-v…
- Deploying Java Sdk BundlesAstronomerBuilds and deploys compiled Airflow Java SDK bundles so workers can run them. Use when the user wants to package a JVM task bundle into a JAR, asks about the `org.apache.airflow.sdk` Gradle plugin, `./gradlew bundle`, the Maven shade/BOM setup, fat vs thin JARs, the logging integration artifacts (JPL, SLF4J, Log4j 2, JUL), preview/snapshot builds, or getting the JAR onto an Airflow worker…
- Managing Astro DeploymentsAstronomerManage Astronomer production deployments with Astro CLI. Use when the user wants to authenticate, switch workspaces, create/update/delete deployments, or deploy code to production.
- Managing Astro Local EnvAstronomerManage local Airflow environment with Astro CLI (Docker and standalone modes). Use when the user wants to start, stop, or restart Airflow, view logs, query the Airflow API, troubleshoot, or fix environment issues. For project setup, see setting-up-astro-project.
- Troubleshooting Astro DeploymentsAstronomerTroubleshoot Astronomer production deployments with Astro CLI. Use when investigating deployment issues, viewing production logs, analyzing failures, or managing deployment environment variables.
- Output Workflow StartGrowthX AI, IncStart an Output SDK workflow asynchronously without waiting for completion. Use when starting long-running workflows, getting a workflow ID for later monitoring, running workflows in the background, or executing multiple workflows in parallel.
- Output Workflow StatusGrowthX AI, IncCheck the status of an Output SDK workflow execution. Use when monitoring a running workflow, checking if a workflow completed, or determining workflow state (RUNNING, COMPLETED, FAILED, TERMINATED).
- DeployaiskillstoreSets up deployment, analytics, and health monitoring for projects. Use when user mentions ãããã¤, deploy, Vercel, Netlify, å ¬é, ã¢ããªãã£ã¯ã¹, analytics, GA, Google Analytics, ç°å¢è¨ºæ, health check. Do NOT load for: å®è£ ä½æ¥, ãã¼ã«ã«éçº, ã¬ãã¥ã¼, ã»ããã¢ãã.
- Devops DeploymentaiskillstoreCI/CD pipelines, containerization, Kubernetes, and infrastructure as code patterns
- Devops QualityaiskillstoreCode quality standards, linting rules, and CI/CD principles.
- Observability MonitoringaiskillstoreStructured logging, metrics, distributed tracing, and alerting strategies
- Performance OptimizationaiskillstoreFull-stack performance analysis, optimization patterns, and monitoring strategies
- Apple ContainerSanjay RamaduguApple's open-source `container` CLI to build, run, and manage OCI/Linux containers as lightweight per-container VMs on Apple-silicon macOS — no Docker daemon required. Use when the user mentions the `container` CLI, "apple container", running or building containers on macOS without Docker/Podman, `container run`, `container build`, `container images`, `container system start`, pushing/pulling…
- AtlassianSanjay RamaduguManage Jira issues and Confluence wiki pages in Atlassian Cloud. Use when: (1) searching/creating/updating Jira issues with JQL, (2) searching/reading/creating Confluence pages with CQL, (3) managing Jira workflows, transitions, and comments, (4) browsing Confluence spaces and page hierarchies. Supports OAuth 2.1 via MCP server (recommended) or API token authentication (fallback).
- Google TtsSanjay RamaduguConvert documents and text to audio using Google Cloud Text-to-Speech. Use this skill when the user wants to: narrate a document, read aloud text, generate audio from a file, convert text to speech, create a recording of documentation or analysis, create a podcast from a document, or use Google TTS/text-to-speech.