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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 9,433–9,456 of 20,293 skills
- Phase OverviewSub-skill of product-roadmap: Phase Overview.Votes: 0GitHub stars: 17
- Identifying DependenciesSub-skill of product-roadmap: Identifying Dependencies (+1).Votes: 0GitHub stars: 17
- What To TrackSub-skill of competitive-analysis: What to Track (+1).Votes: 0GitHub stars: 17
- Error HandlingSub-skill of competitive-analysis: Error Handling.Votes: 0GitHub stars: 17
- 1 Risk DescriptionSub-skill of legal-risk-assessment: 1. Risk Description (+10).Votes: 0GitHub stars: 17
- What To MonitorSub-skill of compliance: What to Monitor (+2).Votes: 0GitHub stars: 17
- Step 1 Identify Query TypeSub-skill of search-strategy: Step 1: Identify Query Type (+2).Votes: 0GitHub stars: 17
- Template StructureSub-skill of algorithmic-art: Template Structure.Votes: 0GitHub stars: 17
- Azure Devops Pipeline IntegrationSub-skill of teams-api: Azure DevOps Pipeline Integration (+1).Votes: 0GitHub stars: 17
- 5 Proactive MessagingSub-skill of teams-api: 5. Proactive Messaging.Votes: 0GitHub stars: 17
- 4 Bot Framework IntegrationSub-skill of teams-api: 4. Bot Framework Integration.Votes: 0GitHub stars: 17
- 2 Adaptive CardsSub-skill of teams-api: 2. Adaptive Cards.Votes: 0GitHub stars: 17
- 6 Webhooks And Incoming MessagesSub-skill of slack-api: 6. Webhooks and Incoming Messages.Votes: 0GitHub stars: 17
- 2 Block Kit MessagesSub-skill of slack-api: 2. Block Kit Messages.Votes: 0GitHub stars: 17
- 6 Self Hosted DeploymentSub-skill of agenta: 6. Self-Hosted Deployment.Votes: 0GitHub stars: 17
- Tensorrt LlmOptimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.Votes: 0GitHub stars: 2
- ModalServerless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.Votes: 0GitHub stars: 2
- Docker ManagementManage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.Votes: 0GitHub stars: 2
- Skills Sh Webmaxru Ai Native Dev Agent Skill DeployDeploys agent skill collections from any GitHub repository with a /skills folder to one or more distribution surfaces: GitHub releases, Claude Code marketplace, VS Code plugin marketplace, and Copilot CLI plugin marketplace. Handles pre-flight validation, conventional commit analysis, version bumping across surface configs, and surface-specific publishing with dry-run support. Use when releasing, publishing, or deploying a skills collection to any supported marketplace or creating a GitHub re...Votes: 0GitHub stars: 2
- Skills Sh Veris Ai Veris Skills Agent IntegrationIntegrate a raw customer agent repo with Veris end to end. Installs or verifies veris-cli, logs in, creates or reuses a Veris environment, analyzes the repo, generates or updates `.veris/veris.yaml`, `.veris/Dockerfile.sandbox`, `.veris/.dockerignore`, configures runtime env vars, and can finish with `veris env push`. Use when a repo has no Veris setup yet, or when an existing `.veris/` integration is stale and needs to be refreshed.Votes: 0GitHub stars: 2
- Skills Sh Redwoodjs Agent Ci Agent CiRun GitHub Actions CI locally with Agent CI to validate changes before pushing. Use when testing, running checks, or validating code changes.Votes: 0GitHub stars: 2
- Skills Sh Claude Office Skills Skills Ai SlidesGenerate complete presentations with AI - from outline to polished slidesVotes: 0GitHub stars: 2
- Skills Sh Astronomer Agents AirflowQueries, manages, and troubleshoots Apache Airflow using the af CLI. Covers listing DAGs, triggering runs, reading task logs, diagnosing failures, debugging DAG import errors, checking connections, variables, pools, and monitoring health. Also routes to sub-skills for writing DAGs, debugging, deploying, and migrating Airflow 2 to 3. Use when user mentions "Airflow", "DAG", "DAG run", "task log", "import error", "parse error", "broken DAG", or asks to "trigger a pipeline", "debug import errors...Votes: 0GitHub stars: 2
- Skills Sh Aradotso Data Skills Apache Airflow OrchestrationExpert knowledge of Apache Airflow for building, scheduling, and monitoring data pipelines and workflowsVotes: 0GitHub stars: 2