1652 个 ・ 集成工具: Docker · 按人气排序
Choose and run checks that cover a Verdaccio change, including affected packages, dependent packages, API tests, and relevant client or UI flows. Rebuild first and report coverage limits so passing results reflect the edited code.
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Launch machine learning experiments on local GPUs, remote servers, Vast.ai, or Modal. It checks the configured environment, deploys code, saves logs, and verifies startup, with optional W&B metric logging and automatic Vast.ai result collection and instance cleanup.
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Run model training, fine-tuning, inference, and batch jobs on Modal’s cloud GPUs. Estimate hardware needs and cost, generate Python launch scripts, run or deploy workloads, monitor logs, and retrieve results without managing remote servers.
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Rent and manage vast.ai GPUs based on the training task rather than a chosen hardware model. The skill estimates requirements, compares offers by total expected cost, prepares the selected instance, and retrieves results before destroying it.
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Install and configure WizTelemetry Logging in KubeSphere to collect container output and file logs. Use its API to filter logs by workload, time, or keywords, retrieve statistics, and export results.
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Set up KubeSphere’s WizTelemetry Data Pipeline to collect, transform, and route logs, audit data, events, and notifications. Configure delivery to OpenSearch, deploy agents across selected clusters, and check their operating status.
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Configure and troubleshoot Jenkins in KubeSphere DevOps, including login integration and build agents, the environments that run pipeline tasks. Get guidance for starting builds through the API, checking logs and status, and downloading build artifacts.
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Automate Docker Hub administration through Composio: create organizations and repositories, list teams, invite members, and configure webhooks that notify other services when container images are pushed to a repository.
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Automate Docker Hub repository, image, and tag management through Rube MCP. Discover available operations and their required inputs, then carry out individual tasks, connected workflows, or bulk operations using Composio’s toolkit.
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Turn plain-language requirements and optional API documentation into OpenShell sandbox network policies in YAML. Define allowed destinations, programs, and API operations, with optional middleware settings for inspecting or transforming traffic and controlling what happens when processing fails.
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Run OpenShell’s Release Canary checks to verify that published development packages and Helm charts install and support basic sandbox operations. Use workflow logs and local Kubernetes reproduction steps to investigate failures before a public release.
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Set up and manage a local Kubernetes development environment for OpenShell using k3d, Skaffold, and Helm. Build and deploy changes, inspect traces, configure optional authentication components, and test behavior across multiple gateway replicas.
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Launch and supervise gator agents for specific GitHub issues or pull requests in OpenShell. Check isolated execution environments, inspect logs, restart stalled agents, and test model or image overrides without changing default settings.
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Maintain and validate OpenShell builds for Windows on x64 and ARM64 using MSVC, Microsoft's C++ toolchain. Check compilation, build executables, run tests on native hosts, and report artifacts and unsupported driver behavior.
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Diagnose unreachable or unhealthy OpenShell gateways and sandbox startup failures. Identify the underlying execution platform, then examine logs, authentication, certificates, and configuration with the matching tools to narrow down the cause.
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Manage isolated working environments in OpenShell using its command-line tool. Register gateways, create and connect to sandboxes, configure credential providers, and reuse workload templates with shared images, environment settings, and computing resources.
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Prepare a clean Doris package and run Docker regression tests, which check whether changes break existing behavior. Restore configuration and startup files from Git, build the test image, and investigate failures using configuration checks and runtime logs.
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Run the current working copy locally with a real language model and Postgres database. Choose web, Slack, or both to test a branch end to end, with separate Slack apps for concurrent instances.
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Downloads CARLA release packages, nightly builds, source code, or Docker images, then reports their locations and environment variables for follow-up setup. Supports extra maps and resumable downloads, helping prepare the files needed for subsequent installation or building.
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Inspect data published by a ROS 2-enabled CARLA server using Docker, without installing ROS 2 locally. Check topic contents and rates, run a sensor-equipped vehicle demo, and view lidar data and supported map markers in RViz2.
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Add a message type to CARLA's native ROS 2 interface. Create its C++ data structure, serialization code for transmission, type identity hash, registration, and tests, with Docker-based hash calculation and build checks.
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Use Phoenix to record execution traces, detailed records of an AI application's operations, and investigate problems. Evaluate answers on datasets, compare prompts and models, and set up monitoring through a self-hosted server.
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Build searches with Qdrant that find similar content and filter results by attributes. The skill covers document retrieval for AI answers, vector storage, memory optimization, and distributed deployment for larger collections.
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Build AI agents by connecting workflow blocks in AutoGPT's visual editor. This skill covers multi-step automation, scheduled runs, webhooks that start work after external events, execution monitoring, and custom agent development.
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