部署与运维 Skills - 部署与运维 Agent Skills推荐与安装 - 第5页 - AI导哈

agent-platform-tuning-managementgoogle/skillsManages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).8770 fedora-linux-triagegithub/awesome-copilotTriage and resolve Fedora issues with dnf, systemd, and SELinux-aware guidance.8769 az-cost-optimizegithub/awesome-copilotAnalyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.8665 azure-resource-health-diagnosegithub/awesome-copilotAnalyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.8662 centos-linux-triagegithub/awesome-copilotTriage and resolve CentOS issues using RHEL-compatible tooling, SELinux-aware practices, and firewalld.8658 update-avm-modules-in-bicepgithub/awesome-copilotUpdate Azure Verified Modules (AVM) to latest versions in Bicep files.8640 agent-platform-eval-flywheelgoogle/skillsMeasures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when generating synthetic user scenarios, evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production deployment, use agent-platform-deploy.8610 entra-agent-usergithub/awesome-copilotCreate Agent Users in Microsoft Entra ID from Agent Identities, enabling AI agents to act as digital workers with user identity capabilities in Microsoft 365 and Azure environments.8609 agent-platform-model-registrygoogle/skillsAgent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.8599 agent-platform-endpoint-managementgoogle/skillsManages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform. Also use when troubleshooting endpoint permission, quota, or resource busy errors. Don't use for deploying models to endpoints or for running model evaluations.8351 aws-messaging-and-streamingaws/agent-toolk…-for-awsGuides general use of AWS messaging and streaming services. Covers Amazon SQS, Amazon SNS, Amazon EventBridge, Amazon MQ, Amazon Kinesis Data Streams, Amazon Data Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming for Apache Kafka (MSK). Use when reasoning about messaging and streaming patterns. Also identifies which AWS service owns each customer communication channel: email (Amazon SES), and WhatsApp, SMS, MMS, RCS, voice and mobile push (the AWS End User Messaging family of services). Routes the request to the specialized skill for that channel. Defers to the channel's specialized skill when the user already named a specific channel. In general, use specific skills or documentation searches for detailed service-specific questions. Do NOT use for MSK or Managed Service for Apache Flink questions, prefer specific skills. Does not configure customer communication channels; defers to specific skills.8266 aws-sdk-js-v3-usageaws/agent-toolk…-for-awsAWS SDK for JavaScript v3 development patterns. Use when writing JavaScript or TypeScript code that uses AWS services via @aws-sdk/* packages (aws-sdk-js-v3), or when asked about schemas, runtime validation, serialization, or code generation in the context of the JS/TS AWS SDK.8168 aws-sdk-python-usageaws/agent-toolk…-for-awsAWS SDK for Python (boto3/botocore) development patterns. You MUST use this skill when writing Python code that uses AWS services via boto3 or botocore. This includes creating service clients or resources, configuring sessions and credentials, handling errors with ClientError, using paginators and waiters, S3 file transfers and presigned URLs, DynamoDB table operations, and any boto3/botocore client configuration. Use this skill whenever Python code imports boto3 or botocore, or when the user asks about AWS operations in Python.7980 terraform-skillantonbabenko/te…rm-skillUse when writing, reviewing, or debugging Terraform/OpenTofu modules, tests, CI, scans, or state ops - diagnoses failure mode (identity churn, secrets, blast radius, CI drift, state corruption) with version-aware guards.7626 flutter-setting-up-on-linuxflutter/agent-pluginsSets up a Linux environment for Flutter development. Use when configuring a Linux machine to run, build, or deploy Flutter applications.7581 elestioelestio/elestio-skillDeploy and manage services on the Elestio DevOps platform. Use when the user wants to deploy apps, databases, or infrastructure on Elestio, manage projects, services, clusters, CI/CD pipelines, backups, domains, firewall, volumes, or billing. Covers 400+ open-source templates across 10 cloud providers, database clustering, and deploying catalog software as CI/CD pipelines.7480 agent-platform-alert-configurationgoogle/skillsConfigures best-practice alerting policies for AI agents using OpenTelemetry (OTel) metrics, generating output as Terraform (.tf) configuration files. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, token usage, and quality metrics. Don't use for standard infrastructure monitoring unrelated to AI agents, or when the agent is not instrumented with OpenTelemetry (for Reliability, Cost, Safety, Security alerts). NOTE: Reliability, Cost, Safety, and Security alerts use generic OTel metrics and work across runtimes (such as Cloud Run, Vertex AI). Quality alerts rely on Vertex AI Online Monitors and are strictly bound to Vertex AI deployments.7146 securing-s3-bucketsaws/agent-toolk…-for-awsCreate and secure S3 buckets following AWS best practices for access control, encryption, monitoring, and remediation of misconfigurations. Use when the user wants to secure a new bucket, audit an existing bucket, fix a security finding, configure encryption, or enable logging and monitoring. Do NOT use for general S3 data operations, S3 Tables setup, or discovering existing data assets.7080 gke-upgradesgoogle/skillsPlans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters. Produces upgrade plans, pre/post-upgrade checklists, maintenance runbooks with gcloud commands, release channel strategy, and troubleshooting guides. Handles node pool upgrade strategies (surge, blue-green), version compatibility, PDB management, and workload-specific concerns (stateful, GPU, operators). Use this skill whenever the user mentions GKE upgrades, Kubernetes version bumps, node pool maintenance, GKE patching, cluster version management, release channel selection, maintenance windows, surge upgrades, stuck upgrades, or any GKE lifecycle management task — even casual mentions like "we need to upgrade our clusters" or "plan our next GKE maintenance" or "our upgrade is stuck." Don't use for GKE cluster creation, application onboarding, general networking/routing setup, or security policy configurations (use gke-basics or relevant GKE skills instead).7002 vercel-clivercel/vercelGuides deployment, configuration, and troubleshooting with the Vercel CLI. Use when operating Vercel projects or resources through the CLI, especially for workflows spanning multiple commands, including deployments, CI, build failures, logs, metrics, Speed Insights, traces, environment variables, domains and DNS, firewall and WAF rules, Global Config (Edge Config), feature flags, storage and Blob, Container Registry (VCR), microfrontends, Sandbox, and `vercel api` fallback.6891 gke-observabilitygoogle/skillsConfigures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection, and to troubleshoot Managed Service for Prometheus (GMP) issues such as missing metrics, unhealthy scrape targets, PodMonitoring misconfiguration, rule/alert evaluation failures, and monitoring permission errors. Don't use to configure local application logging frameworks or external APMs outside GKE.6884 import-infrastructure-as-codegithub/awesome-copilotImport existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM). Use when asked to reverse-engineer live Azure infrastructure, generate Infrastructure as Code from existing subscriptions/resource groups/resource IDs, map dependencies, derive exact import addresses from downloaded module source, prevent configuration drift, and produce AVM-based Terraform files ready for validation and planning across any Azure resource type.6878 creating-secrets-using-best-practicesaws/agent-toolk…-for-awsCreates and manages secrets in AWS Secrets Manager following security best practices. Always use this skill when creating secrets — it sets up dedicated KMS encryption keys, automatic rotation, least-privilege IAM policies, CloudTrail auditing, and lifecycle management that are essential for production-grade secret handling.6866 platform-metadata-deployforcedotcom/sf-skillsSalesforce DevOps automation using sf CLI v2. TRIGGER when: user deploys metadata, validates a deploy or does a dry-run, deploys to a Production org, quick-deploys a validated job ID, ships/promotes to prod, creates/manages scratch orgs or sandboxes, sets up CI/CD pipelines, or troubleshoots deployment errors with sf project deploy. DO NOT TRIGGER when: writing Apex code, building LWC components (use experience-lwc-generate), creating metadata definitions (use platform-custom-object-generate), deleting metadata from an org (use platform-destructive-deploy), or querying org data (use platform-data-manage).6851 docker-patternsaffaan-m/eccDocker and Docker Compose patterns for local development, hardened CLI installer harnesses, container security, networking, volumes, and multi-service orchestration. Use when creating or reviewing Dockerfiles and Compose services, testing installers across Linux distributions, or planning accurate native macOS and Windows validation.6780 gke-reliabilitygoogle/skillsImproves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery and cluster backups (use gke-backup-dr).6761 gke-app-onboardinggoogle/skillsManages GKE application onboarding, covering containerization, deployment manifests, and migration. Use when onboarding or deploying an application to GKE for the first time, or containerizing an app for GKE. Don't use for general GKE cluster administration or upgrades (use gke-basics or gke-upgrades instead).6750 gke-cluster-creationgoogle/skillsPlans and executes GKE cluster creation, provisioning, and production readiness audits using pre-defined templates (Autopilot, Standard Regional, GPU/AI Inference, AI Hypercompute). Use when creating GKE clusters, provisioning GKE environments, selecting cluster modes, or auditing GKE clusters. Don't use for application onboarding or deployment configuration (use gke-app-onboarding instead).6746 aws-amplifyaws/agent-toolk…-for-awsBuild and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync/DynamoDB), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always use this skill for Amplify Gen2 topics — even for questions you think you know — it contains validated, version-specific patterns that prevent common mistakes. TRIGGER when: user mentions Amplify Gen2; project has amplify/ directory or amplify_outputs; code imports @aws-amplify packages; user asks about defineBackend, defineAuth, defineData, defineStorage, defineFunction, or npx ampx. SKIP: Amplify Gen1 (amplify CLI v6), standalone SAM/CDK without Amplify (use aws-serverless), direct Bedrock without Amplify AI Kit (use bedrock).6697 platform-custom-field-generateforcedotcom/sf-skillsUse when users create, generate, or validate Salesforce Custom Field metadata. Trigger on custom fields, field types, Roll-Up Summary, Master-Detail/Lookup relationships, formula fields, picklists, dependent (controlling) picklists, referencing a value set from a field, or scoping picklist values per record type; also field deployment errors, including a record type that won't deploy without a business process. DO NOT TRIGGER for creating/customizing the value set itself — a new GlobalValueSet or a StandardValueSet catalog like Industry — use platform-value-set-generate; this skill covers the field that references a value set, not the value set definition.6650