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Devops (Page 28 of 41)

2410 Claude Code skills in the Devops sub-category of Engineering.

2,410 skills · updated 2026-06-12 · showing 1621–1680 of 2,410 by quality score

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LazyDocker is a terminal UI for Docker and Docker Compose that provides container management, log viewing, resource monitoring, and image inspection through a keyboard-driven…
Retrieval-augmented Lean4 proof generation. Queries 94k+ exemplars from DeepSeek-Prover V1+V2, uses hybrid search (BM25 + semantic + graph), generates via Claude, compiles in…
Creates runbook.md for DevOps setup. L3 Worker invoked CONDITIONALLY when hasDocker detected.
Builds and launches Docker containers with health verification using best practices
Best practices for GitHub Actions workflows including security, performance, and maintenance
Comprehensive Slint GUI development expert based on official source code. Covers Rust integration, component design, layouts, styling, animations, cross-platform deployment, and…
Meta-skill that indexes, optimizes, and auto-generates Claude skills with GitOps automation, OCA GitHub bot integration, and Odoo developer tools.
librel - Release management tools. VersionBumper handles semver version bumping for packages. ChangeDetector identifies changed packages between git commits.
Optimized Kubernetes distributions and configurations for resource-constrained edge and IoT deployments
Deploy applications that integrate with Lindy AI agents. Use when deploying webhook receivers, callback handlers, or applications connected to Lindy agents.
Production readiness checklist for Lindy AI agent deployments. Use when preparing agents for production, auditing live agents, or validating go-live readiness.
Deploy Linear-integrated applications and track deployments. Use when deploying to production, linking deploys to issues, or setting up deployment tracking with…
Production readiness checklist for Linear integrations. Use when preparing to deploy, reviewing production requirements, or auditing existing Linear deployments.
Run chart-focused lint and install checks so changed Helm charts are validated before release or merge.
Run ansible-lint against playbooks, roles, and collections so risky patterns and common mistakes are caught before automation is merged or executed.
Validate workflow syntax, expressions, and shell steps before broken GitHub Actions changes reach CI.
Inspect a live Kubernetes cluster for unhealthy resource settings, missing probes, and other operational smells.
Check Terraform before plan or apply so invalid attributes, provider-specific mistakes, and custom rule violations are caught early.
Check certificates and precertificates for Web PKI standards violations before CA issuance, trust-store submission, or deployment.
Unified LLM API with LiteLLM. Call 100+ LLM providers with one interface. Use for multi-provider AI, cost optimization, fallbacks, and LLM gateway deployment.
Build voice AI agents with LiveKit Agents SDK. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI", "implement handoffs", "structure agent…
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable — from…
Expert LLM architect specializing in large language model architecture, deployment, and optimization.
Use when user needs LLM system architecture, model deployment, optimization strategies, and production serving infrastructure.
LLM inference infrastructure, serving frameworks (vLLM, TGI, TensorRT-LLM), quantization techniques, batching strategies, and streaming response patterns.
LMCache multiprocess (MP) mode — standalone LMCache server in its own pod/process that vLLM connects to over ZMQ.
Creates infrastructure.md and runbook.md (Docker-conditional). Use for DevOps documentation in any project.
Sets up Docker, CI/CD, and environment configuration with auto-detection. Use when adding DevOps infrastructure to a project.
Configures health check endpoints for Kubernetes readiness/liveness/startup probes. Use when deploying to Kubernetes.
Builds and launches Docker containers with health verification. Use when validating that containerized services start correctly.
LobeChat - Open-source AI agent workspace with multi-provider LLM support, plugin system, knowledge base RAG, 505+ agents, and self-hosting options via Docker/Vercel
Local Frappe development environment for testing APIs before production deployment. Use when developing or testing Python/API changes locally.
Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio.
Test local Jekyll build and visualize pages using Playwright MCP. Starts the development server, navigates through key pages, captures screenshots, and validates rendering.
Run local AI models with LocalAI. Deploy OpenAI-compatible API for LLMs, embeddings, audio, and images.
Run local AI models with LocalAI. Deploy OpenAI-compatible API for LLMs, embeddings, audio, and images.
RFC-27 compliant static Logback configuration for Java services. Covers logback.xml structure, appenders, encoders, and deployment-specific configuration.
Deploy Lokalise integrations to Vercel, Netlify, and Cloud Run platforms. Use when deploying apps with Lokalise translations to production, configuring platform-specific secrets,…
Configure Lokalise across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or…
Execute Lokalise production deployment checklist and rollback procedures. Use when deploying Lokalise integrations to production, preparing for launch, or implementing go-live…
Design, repair, or interpret automated quality and deployment gates. Use when CI/CD, test pipelines, lint/type/build checks, preview deploys, branch protection, generated…
Use when changing pipeline or automation behavior itself: CI gates, build/deploy workflows, release automation, preview/staging/prod environments, credentials, artifacts, or…
Kubernetes node autoscaling and cost optimization with Karpenter. Use for node provisioning, spot instance management, cluster right-sizing, node consolidation,…
Use when: creating Dockerfiles, configuring Docker Compose, or containerizing applications for deployment.
Produce a sprint CI.md covering pipeline stages, secrets handling, deployment strategy, and rollback for GitHub Actions / Cloud Build / GitLab CI / etc.
Produce a sprint INFRA.md covering Terraform / gcloud changes — dry-run plan, IAM diff, cost estimate, rollback. Coordinator-only — does not apply infra changes.
Deploy MaintainX integrations to production environments. Use when deploying to cloud platforms, configuring production environments, or automating deployment pipelines for…
Production deployment checklist for MaintainX integrations. Use when preparing to deploy a MaintainX integration to production, verifying production readiness, or auditing…
Makefile best practices, patterns, and templates for GNU Make 4.x — dependency graphs, task-runner workflows, parallel-safe recipes, self-documenting help targets, and…
Write Makefiles for any project type. Use when setting up build automation, defining multi-target builds, managing dependencies between tasks, creating project task runners, or…
CRITICAL: Use for Makepad packaging and deployment. Triggers on: deploy, package, APK, IPA, 打包, 部署, cargo-packager, cargo-makepad, WASM, Android, iOS, distribution, installer,…
Docker コンテナを管理する。「コンテナ一覧」「docker ps」「コンテナ確認」「コンテナ止めて」「コンテナ起動」「コンテナ再起動」「コンテナに入って」「コンテナの状態」「実行中のコンテナ」「コンテナのリソース」「docker stats」「docker inspect」「コンテナのログ」「docker logs」などで起動。
Docker イメージを管理する。「イメージ一覧」「docker images」「イメージ確認」「ビルドして」「docker build」「イメージ作成」「イメージ取得」「docker pull」「イメージダウンロード」「イメージの履歴」「docker history」などで起動。 — from…
Sicheres Secrets-Management in Kubernetes implementieren — mit SealedSecrets fuer GitOps, External Secrets Operator fuer Cloud-Secret-Manager und Rotationsstrategien.
Terraform/Terragrunt のバージョンを管理する。「terraform バージョン」「tfenv」「tgswitch」「tf バージョン切り替え」「terraform インストール」「バージョン確認」「tf version」「terraform 1.5 にして」「tg バージョン」などで起動。 — from…
Structures EHR implementation planning with workflow analysis, data migration, and go-live readiness.
Reactive Python notebook system. Cell reactivity, UI elements (sliders, dropdowns, tables), SQL cells, plotting, app deployment.
Skill master per la sessione. Contiene istruzioni generali e fa git pull all'avvio per aggiornare tutti gli skill. Utilizza gli altri skill quando relevanti.
Maven build patterns for multi-module projects, Maven Central publishing via OSSRH, GPG signing, release profiles, Spring Boot parent POM, BOM dependency management, and automated…
Hedging EA dengan sistem trailing stop dan pending order otomatis. Converted dari MQL5, cross-platform (Windows/Linux/Mac). Compatible dengan mt5linux Docker.
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