基础设施与 DevOps技能

Route CubeStudio MLOps platform deployment, customization, and operation tasks.

中文简介正在准备中。当前显示原文说明。

Use this self-contained Browser Use repo skill for Python agents that automate websites, browser sessions, custom tools, LLM/provider setup, persistent CLI sessions, cloud/sandbox production deployment, MCP, skills, and troubleshooting. Prefer ChatBrowserUse by default and route to focused sub-skills for implementation details.

中文简介正在准备中。当前显示原文说明。

Use BiSheng's enterprise LLM application DevOps platform repository, including FastAPI backend, workflow/RAG/Linsight runtimes, permissions, dual React frontends, deployment, and maintainer workflows.

中文简介正在准备中。当前显示原文说明。

Use ASAP to train humanoid policies, retarget SMPL motions, and run sim2sim or sim2real deployment workflows for humanoidverse-based robots.

中文简介正在准备中。当前显示原文说明。

Use BentoML to author model-serving Services, build and containerize Bentos, run HTTP/gRPC servers and clients, manage models, operate the CLI and BentoCloud, and configure observability or production runtime behavior. Use when tasks mention BentoML, bentoml service.py, bentofile.yaml, Bento build/serve/deploy, BentoCloud, or BentoML model stores.

中文简介正在准备中。当前显示原文说明。

Route Baichuan2 chat inference, deployment/quantization, and fine-tuning workflows.

中文简介正在准备中。当前显示原文说明。

Routes AWS SDK for pandas (awswrangler) workflows across S3 lakehouse data, Athena/Glue catalogs, SQL connectors, runtime configuration, and AWS service integrations.

中文简介正在准备中。当前显示原文说明。

Routes AutoViz users to automated EDA, data-quality, and text/wordcloud workflows.

中文简介正在准备中。当前显示原文说明。

Route Apache Airflow repo tasks across Dag authoring, operations, providers, deployment, and contribution workflows.

中文简介正在准备中。当前显示原文说明。

AgentScope repo skill for building agents, provider connectors, RAG and memory workflows, service deployments, and local or sandboxed workspaces.

中文简介正在准备中。当前显示原文说明。

Use Argilla 2.x for human-feedback dataset annotation, Python SDK dataset workflows, server deployment/operations, webhooks, and legacy v1/Rubrix migration.

中文简介正在准备中。当前显示原文说明。

Routes Agent Starter Pack tasks to the right workflow for creating, maintaining, and deploying generated agent projects.

中文简介正在准备中。当前显示原文说明。

Use anomalib for anomaly-detection install, data/model selection, training and evaluation, deployment and inference, and benchmark pipelines.

中文简介正在准备中。当前显示原文说明。

Routes substantive ML, AI, data, scientific-computing, and software-engineering requests to the smallest useful set of managed repository skills. Invoke proactively when a request names or implies a package, framework, model family, dataset, modality, workflow, backend, deployment target, evaluation method, or implementation approach that may benefit from repository guidance, even if no repository is named. Narrow progressively from area to family to repository root: inspect only the one or two most likely area pages; compare candidates by capability, task surface, model/data format, training versus inference versus evaluation intent, runtime constraints, and root-skill description; then open only the selected root and relevant sub-skills, references, or scripts. Select multiple repositories only when each adds a distinct capability. Do not load the whole collection, treat dependencies or incidental integrations as capabilities, choose by name alone, or force a match when no exact taxonomy family applies.

中文简介正在准备中。当前显示原文说明。

Routes AppAgent setup, exploration, and deployment workflows for Android-device task automation.

中文简介正在准备中。当前显示原文说明。

Computes DORA delivery-performance metrics from git and GitHub API. Use when assessing deployment frequency, lead time, or change failure rate.

中文简介正在准备中。当前显示原文说明。

Installs egregore watchdog daemon via launchd or systemd for autonomous relaunching. Use when setting up egregore on a new machine. Do not use on CI/CD runners.

中文简介正在准备中。当前显示原文说明。

Removes the egregore watchdog daemon and its associated files. Use when stopping automated session relaunching or cleaning up egregore infrastructure.

中文简介正在准备中。当前显示原文说明。

Scaffolds new projects with git, CI/CD workflows, pre-commit hooks, and build config. Use when starting a new Python, Rust, or TypeScript project from scratch.

中文简介正在准备中。当前显示原文说明。

Applies serverless FaaS patterns for event-driven workloads. Use when designing bursty workloads with minimal infrastructure and pay-per-execution cost model.

中文简介正在准备中。当前显示原文说明。

Applies pipes-and-filters for sequential data transformations. Use when data flows through discrete stages like ETL, streaming analytics, or CI/CD pipelines.

中文简介正在准备中。当前显示原文说明。

Applies hexagonal architecture isolating domain from infrastructure. Use when designing systems where testability and port/adapter separation are priorities.

中文简介正在准备中。当前显示原文说明。

Applies coarse-grained service architecture for deployment independence. Use when independent deployment is needed but shared databases rule out microservices.

中文简介正在准备中。当前显示原文说明。

Applies microservices for independent deployment and per-service scaling. Use when teams need autonomous release cycles with distinct capability scaling needs.

中文简介正在准备中。当前显示原文说明。