DevOps
1,208 skills.
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devops-cicdmiles990CI/CD pipelines, infrastructure as code, and deployment strategiesaws-developmentmindrallyAWS development best practices for Lambda, SAM, CDK, DynamoDB, IAM, and serverless architecture using Infrastructure as Code.azuremindrallyAzure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.bash-scriptingmindrallyBash scripting guidelines covering security, portability, error handling, and automation best practices for DevOps.bitbucket-workflowmindrallyBitbucket best practices for pull requests, Pipelines CI/CD, Jira integration, and Atlassian ecosystem workflowsci-cd-best-practicesmindrallyCI/CD best practices for building automated pipelines, deployment strategies, testing, and DevOps workflows across platformscloudflare-developmentmindrallyCloudflare Workers, Pages, KV, D1, R2, and Durable Objects development best practices for edge computing applications.devopsmindrallyComprehensive DevOps engineering practices for Kubernetes, CI/CD, Bash scripting, Ansible, and cloud infrastructure.dockermindrallyDocker containerization best practices for building, securing, and deploying containers.gcp-developmentmindrallyGoogle Cloud Platform (GCP) development best practices for Cloud Functions, Cloud Run, Firestore, BigQuery, and Infrastructure as Code.gitlab-workflowmindrallyGitLab best practices for merge requests, CI/CD pipelines, issue tracking, and DevOps workflowskubernetesmindrallyExpert in Kubernetes and DevOps with infrastructure-as-code and cloud-native patternsmonitoring-guidelinesmindrallyMonitoring guidelines for applications and infrastructure including metrics collection, alerting strategies, and SLO-based monitoringnetlify-developmentmindrallyBest practices for building and deploying Netlify sites, covering serverless and edge functions, Netlify Blobs storage, the Image CDN, and build configuration. Use when writing Netlify Functions or Edge Functions, configuring netlify.toml or redirects/headers, managing environment variables across deploy contexts, working with Netlify Blobs, or setting up local development and deploy previews.observability-guidelinesmindrallyObservability guidelines for distributed systems using OpenTelemetry, tracing, metrics, and structured loggingsalesforce-dxmindrallyExpert guidance for Salesforce DX development with modern tooling, source-driven development, and CI/CD best practicesterraformmindrallyExpert in Terraform infrastructure-as-code with cloud deployment patternsvercel-developmentmindrallyVercel and Next.js deployment best practices including server components, edge functions, AI SDK integration, and performance optimization.instrumenting-with-mlflow-tracingmlflowInstruments Python and TypeScript code with MLflow Tracing for observability. Must be loaded when setting up tracing as part of any workflow including agent evaluation. Triggers on adding tracing, instrumenting agents/LLM apps, getting started with MLflow tracing, tracing specific frameworks (LangGraph, LangChain, OpenAI, Gemini, DSPy, CrewAI, AutoGen), or when another skill references tracing setup. Examples - "How do I add tracing?", "Instrument my agent", "Trace my LangChain app", "Set up trabailian-sandboxmodelstudioai阿里云百炼 Sandbox 沙箱实例与模版生命周期管理入口：用户要创建、查询、连接、暂停、恢复或释放百炼沙箱， 或查看内置基础镜像、上传模版挂载文件、创建、更新、查询、删除沙箱模版、查看模版构建状态时，使用 `bl sandbox`。 用户要访问已创建实例、打开 WebShell、连接 browser-use 浏览器自动化或 VNC 实时画面时，先获取连接信息，再连接数据面。 不用于宿主执行沙箱设置、E2B 官方云资源或通用文件传输。 agents.yaml 托管 Agent / Session / Environment 管理交给 bailian-managed-agent。 官方安装：`bl skill init`（与共享协议 bailian-protocol 同装）。benchmark-modelmodularBenchmark a model served on MAX with the `max benchmark` command: measure throughput (tokens/sec), latency (TTFT, TPOT, inter-token latency), and GPU utilization by driving load against a running `max serve` endpoint. Use this whenever the user wants to benchmark, load-test, or measure the performance of a MAX model, get tokens-per-second / TTFT / TPOT numbers, run a concurrency or request-rate sweep, compare latency vs throughput, size a deployment, or produce benchmark JSON, even if they don'tprofile-modelmodularProfile a model running on MAX to find where it spends time and whether the GPU is saturated. Use when the user asks to "profile my model," "where is my model spending time," "why is inference slow," "is my GPU being utilized," "how much GPU am I using," "get a kernel breakdown," "capture an nsys/rocprof/ncu trace of max serve," or wants to measure MAX inference performance. Works for any model MAX can run — built-in architectures and custom ones loaded with --custom-architectures — from a pip obuild-accelerationmohitmishra786Build acceleration skill for C/C++ projects. Use when reducing compilation times with ccache, sccache, distcc, unity builds, precompiled headers, split DWARF, or IWYU. Covers caching strategies, distributed compilation, link time reduction, and diagnosing build bottlenecks. Activates on queries about slow builds, ccache, sccache, precompiled headers, unity builds, split-DWARF, or reducing C++ compile times.core-dumpsmohitmishra786Core dump analysis skill for production crash triage. Use when loading core files in GDB or LLDB, enabling core dump generation on Linux/macOS, mapping symbols with debuginfo or debuginfod, or extracting backtraces from crashes without re-running the program. Activates on queries about core files, ulimit, coredumpctl, debuginfod, crash triage, or analyzing segfaults from production binaries.ebpfmohitmishra786eBPF skill for Linux observability and networking. Use when writing eBPF programs with libbpf or bpftrace, attaching kprobes/tracepoints/XDP hooks, debugging verifier errors, working with eBPF maps, or achieving CO-RE portability across kernel versions. Activates on queries about eBPF, bpftool, bpftrace, XDP programs, libbpf, verifier errors, eBPF maps, or kernel tracing with BPF.flamegraphsmohitmishra786Flamegraph generation and interpretation skill. Use when converting perf, Valgrind Callgrind, or other profiler output into SVG flamegraphs using Brendan Gregg's FlameGraph tools, or when reading flamegraphs to identify performance bottlenecks. Activates on queries about flamegraphs, stackcollapse, flamegraph.svg, identifying hot frames, wide vs tall frames, or performance visualisation.linux-perfmohitmishra786Linux perf profiler skill for CPU performance analysis. Use when collecting sampling profiles with perf record, generating perf report, measuring hardware counters (cache misses, branch mispredicts, IPC), identifying hot functions, or feeding perf data into flamegraph tools. Activates on queries about perf, Linux performance counters, PMU events, off-CPU profiling, perf stat, perf annotate, or sampling-based profiling on Linux.devopsmrgoonieDeploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.devboxesnamespacelabsCreates, runs, shares, and tears down Namespace devboxes with `devbox` or `boxctl`. Use for isolated Linux or macOS environments, remote builds or tests, disposable Docker hosts, workloads exceeding local capacity, exposing `devbox.so` URLs, or working inside a devbox (`NAMESPACE_DEVBOX_WORKSPACE_DIR` is set), including keeping unattended work alive with task markers.neo4j-aura-provisioning-skillneo4j-contribProvisions and manages Neo4j Aura instances via CLI (aura-cli v1.7+) or REST API. Use when creating, pausing, resuming, resizing, or deleting AuraDB Free/Professional/Business Critical/VDC instances; downloading credentials; scripting CI/CD pipelines; polling async status; or using the Terraform neo4j/neo4j-aura provider. Covers auth setup (client credentials OAuth2), credential lifecycle (download once — never recoverable), instance type selection, region codes, and Python provisioning scripts.gradle-build-performancenew-silvermoonDebug and optimize Android/Gradle build performance. Use when builds are slow, investigating CI/CD performance, analyzing build scans, or identifying compilation bottlenecks.shopify-migrationnexscope-aiPlatform migration to Shopify — from WooCommerce, Magento, BigCommerce, data transfer, URL redirectsnorthflanknorthflankDeploy, manage, and automate infrastructure on Northflank — a developer platform for building, deploying, and scaling services, jobs, databases, and release workflows on Kubernetes. Use when managing Northflank projects, services, jobs, addons (databases), secrets, domains, templates (IaC), environments, preview environments, pipelines, release flows, BYOC/BYOK clusters, GPU workloads, AI sandboxes, or interacting with the Northflank API/CLI/JS client. Covers REST API, CLI (`northflank` command)monitor-cinrwlMonitor Nx Cloud CI pipeline and handle self-healing fixes. USE WHEN user says "monitor ci", "watch ci", "ci monitor", "watch ci for this branch", "track ci", "check ci status", wants to track CI status, or needs help with self-healing CI fixes. Prefer this skill over native CI provider tools (gh, glab, etc.) for CI monitoring — it integrates with Nx Cloud self-healing which those tools cannot access.cloudflare-opennextnull-shotDeploy Next.js to Cloudflare Workers with full App Router, Pages Router, ISR, and SSG support. Load when creating Next.js projects for Workers, migrating from Vercel/next-on-pages, configuring caching (R2/KV/D1), accessing Cloudflare bindings via getCloudflareContext, or fixing bundle size issues.amc-setup-calibration-stacknvidiaLaunch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.jetson-customize-cameranvidiaEnable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI. Do NOT use for UPHY lane allocation or ODMDATA edits.jetson-customize-fannvidiaUse when you need to add, remove, edit, list, or change the boot default of an nvfancontrol fan profile on a Jetson/Tegra (Orin, Thor) target. Triggers: edit fan profile, tune fan curve.jetson-download-bspnvidiaDownload NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, public_sources, x-tools, guides) for the active target. Use for Auto Setup; not for extraction or profile edits.jetson-flash-imagenvidiaUse to flash a promoted BSP image to a Jetson DUT in RCM mode via flash.sh or l4t_initrd_flash.sh. Do NOT use for BSP customization, image promotion, or carrier derivation.jetson-headless-modenvidiaPlan and apply safe Jetson headless-mode changes to reclaim GUI and daemon memory.jetson-init-imagenvidiaExtract Jetson Linux + sample-rootfs tarballs and run apply_binaries.sh for the active target, then record bsp_image in the profile. Use after jetson-init-target; not for source-tree setup.jetson-init-sourcenvidiaSet up the BSP source workspace: Linux_for_Tegra overlay tracker, bsp_sources, Crosstool-NG toolchain. Use after jetson-init-image; not for fetching inputs.jetson-init-targetnvidiaAuthor a new Jetson target-platform profile (reference_devkit + optional custom_carrier) and update the active pointer. Use to create a target; not for switching existing profiles.jetson-llm-benchmarknvidiaBenchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output.jetson-llm-servenvidiaStand up vLLM or SGLang serving on Jetson, using upstream vLLM on Thor and Orin JetPack 7.2+, and NVIDIA-AI-IOT vLLM on older Orin.jetson-memory-auditnvidiaMeasure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.jetson-optimize-memorynvidiaReclaim DRAM by disabling unused subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB. Use for headless or no-camera Jetson deployments; not for CPU/GPU frequency tuning.jetson-print-bsp-infonvidiaUse when you need to print Jetson BSP info (L4T version, board configs, rootfs state) from a Linux_for_Tegra root on the host PC. This is an example skill.jetson-promote-imagenvidiaUse to promote overlay files and built artifacts into the staged BSP image. Do NOT use to flash or build. Triggers: promote bsp image.