DevOps

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service-concierge-portal-generateforcedotcomDeploys an Agentforce Concierge portal on an LWR Experience Cloud site: provisions the site, configures Concierge components, sets up branding, wires the agent, enables guest access, and publishes. Use when the user wants to stand up a Help Portal / Agentforce Concierge portal — standalone or as the channel step in a Help Agent setup. Requires an existing, active Agentforce Service Agent on the org. DO NOT TRIGGER when the user only wants to embed a chat widget on an existing site (use service-d service-email-to-case-configureforcedotcomUse to configure Salesforce Email-to-Case headlessly via the Metadata API. Reads CaseSettings, applies the emailToCase config with updateMetadata, and verifies by re-reading. Also the entry point for attaching an Agentforce agent to Email-to-Case: configures the E2C base, then delegates agent creation and channel wiring. TRIGGER on set up/configure Email-to-Case, enable E2C routing addresses, add a routing address, or E2C with an Agentforce agent. DO NOT TRIGGER for the interactive Easy Setup wi service-itsm-agentic-setup-agentforce-studio-configureforcedotcomEnable the Agentforce for IT Service Salesforce Go feature toggles (Agentforce Studio, Einstein Generative AI, the parent umbrella, and the Fulfiller/Employee agent templates) using the Salesforce CLI (sf). Turns ON org prefs via the Setup Discovery feature/{apiName}/enable Connect API route. Write-capable, idempotent, dependency-ordered, confirm-to-write required. Use when asked to enable Agentforce Studio, turn on Agentforce for IT Service, enable Einstein generative AI, or configure the org-l service-itsm-agentic-setup-incident-managementforcedotcomOrchestrator for Incident Management setup in Salesforce Service Cloud ITSM: presents the available features, tracks progress, and configures each — SLA & Milestones, Priority Matrix, Incident preferences, Major Incident Management, Incident persona PSG assignment, and Service Management Privilege. Use for: set up or configure incident management, incident management walkthrough, what incident features can I configure; the incident preference toggles (default field validations, auto-close child service-itsm-agentic-setup-itsm-agentforce-permset-assignforcedotcomResolve missing ITSM Intelligence invocable actions so a Fulfiller NGA agent can activate. Reads which of the three Core Fulfiller persona permsets (IncidentFulfiller, ProblemFulfillerPermSet, ChangeRequestFulfillerPermSet) are provisioned, then assigns the running user the selected persona (plus backing PSL when license-gated) so svc_itsm_intelligence__* actions surface; hands off to service-itsm-agentic-setup-agentforce-studio-validate if none are provisioned. Use when the Fulfiller agent-conf service-itsm-incident-mgmt-configureforcedotcomReads and toggles the master Incident Management setting on a Salesforce ITSM org — the org-level switch that turns Incident Management on or off. Reads current state before writing, is idempotent, and requires explicit user confirmation before any change. Use when the user wants to enable, disable, toggle, view, or turn on/off Incident Management (Service ITSM) at the org level. DO NOT TRIGGER for Default Field Validations for Incidents, Auto Closure of Child Incidents, Email-to-Incident sub-to service-itsm-teams-itdesk-configureforcedotcomConfigure the \"Set Up Salesforce IT Desk\" checklist for Microsoft Teams Employee Service (ITSM) — the fulfiller/agent side, covering app enablement, marketplace install guidance, user access assignment, and Swarming collaboration-tool setup. Use this for: 'turn on Salesforce IT Desk', 'set up IT Desk on Teams', 'assign Teams for IT Desk permission set', 'set Teams as collaboration tool for swarming', 'install Salesforce IT Desk app on Teams', or any request to complete the IT Desk half of the service-itsm-teams-itservice-configureforcedotcomConfigure the \"Set Up Salesforce IT Service\" checklist for Microsoft Teams Employee Service (ITSM) — the employee side, covering app enablement, marketplace install guidance, user access assignment, and Digital Experience Site selection. Use this for: 'turn on Salesforce IT Service', 'set up IT Service on Teams', 'assign Teams for Employee permission set', 'give employees access to Teams for Employee Service', 'manage user access for Teams ITSM', 'grant users the permission sets needed for Tea dx-cliget-dxInteract with the DX (getdx.com) APIs to get and manage information about the Software Catalog, manage Scorecards to track system health, analyze Snapshot survey results, and perform data analysis on Engineering productivity. Also answers questions about DX itself — product concepts, setup/admin procedures (SSO, connectors, backfills), and troubleshooting — by fetching DX's own documentation.cargo-projectgetcargohqManage a whole Cargo workspace as code — declare connectors, models, plays, tools, agents, MCP servers, segments, context, folders, files, workers, and apps in TypeScript, then reconcile them with `cargo-ai project` (init → types → plan → deploy), the way you would run Pulumi or the AWS CDK. Triggers: \"as code\", \"in git\", \"version-controlled\", \"reproducible\", \"Terraform for Cargo\", \"set up a whole workspace\", \"staging and production\", \"deploy the workspace from CI\", \"review this sentry-cligetsentryGuide for using the Sentry CLI to interact with Sentry from the command line. Use when the user asks about viewing issues, events, projects, organizations, making API calls, or authenticating with Sentry via CLI.sentry-create-alertgetsentryCreate Sentry alerts using the workflow engine API. Use when asked to create alerts, set up notifications, configure issue priority alerts, or build workflow automations. Supports email, Slack, PagerDuty, Discord, and other notification actions.sentry-nextjs-sdkgetsentryFull Sentry SDK setup for Next.js. Use when asked to "add Sentry to Next.js", "install @sentry/nextjs", or configure error monitoring, tracing, session replay, logging, profiling, AI monitoring, or crons for Next.js applications. Supports Next.js 13+ with App Router and Pages Router.sentry-react-sdkgetsentryFull Sentry SDK setup for React. Use when asked to "add Sentry to React", "install @sentry/react", or configure error monitoring, tracing, session replay, profiling, or logging for React applications. Supports React 16+, React Router v5-v7, TanStack Router, Redux, Vite, and webpack.sentry-setup-ai-monitoringgetsentrySetup Sentry AI Agent Monitoring in any project. Use when asked to monitor LLM calls, track AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI/Pydantic AI. Detects installed AI SDKs and configures appropriate integrations.sentry-fix-stack-tracesgetsentryMake Sentry stack traces readable — upload source maps for JavaScript/TypeScript, or debug files for native and mobile (dSYM, ProGuard/R8, NDK symbols, Dart obfuscation maps, .NET PDBs). Use when frames in Sentry show minified names, bundled paths, hex addresses, "unknown", or method names with no file/line, instead of your original source.sentry-get-startedgetsentryGuided entry point for using Sentry through your agent. Orients you to your current setup and, for a new project, sets up Sentry end to end with sane defaults — provision a project, install the SDK (errors, tracing, and whatever it enables by default), and confirm real telemetry reaches Sentry. Routes other intents (adding more signals, fixing issues) to the right skill.sentry-instrumentation-guidegetsentryDecide which Sentry signal to reach for when instrumenting code — error, span, span attribute, log, or metric. Use when adding instrumentation and unsure whether something should be a log vs a span vs a metric, when deciding "what to instrument where", when reviewing instrumentation for gaps, or when a coding agent needs a rule for choosing between errors, traces, logs, and metrics. This skill decides WHAT to emit; the sentry-*-sdk skills handle HOW to set each pillar up.sentry-setup-releasesgetsentrySet up Sentry releases and deploy tracking — tag events with a version and environment, create the release in CI with its commits, and wire up suspect commits and code mappings, so Sentry can show which release introduced an issue, which commit is responsible, and release health. Use when asked to set up releases, track deploys, see what changed, or when issues show an unknown release or no suspect commit.arize-instrumentationgithubAdds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.arize-tracegithubDownloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.flowstudio-power-automate-monitoringgithubPro+ subscription required. Tenant-wide Power Automate monitoring using the FlowStudio MCP cached store: failure rates, run-health trends, maker/app inventory, inactive owners, and compliance/health reports. Use only for aggregated tenant views. For one environment, one flow, run control, or root-cause debugging, use flowstudio-power-automate-mcp, flowstudio-power-automate-debug, or the server monitor-flow bundle. Requires FlowStudio for Teams or MCP Pro+.phoenix-tracinggithubOpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.pinmeglitternetworkUse this skill when the user mentions "pinme", or needs to upload files, store to IPFS, create/publish/deploy websites or full-stack services (including frontend pages, backend APIs, database storage, email sending, etc.), or any feature requiring backend database/server support.pinme-shareglitternetworkUse this skill when the user wants to share, publish, or upload a static result through PinMe, especially by generating a static HTML share page for a PinMe project link, deployed full-stack app, Codex conversation summary, report, file, demo, or any 分享/发布/上传分享页 request that should end with `pinme upload`.local-action-verificationgoogle-labs-codeSet up a repository for local GitHub Actions verification using act, so Jules can validate CI before pushing bigquery-observabilitygoogleProvides data-retrieval best practices, tool selection guidance, and performant SQL query syntax for BigQuery telemetry across INFORMATION_SCHEMA, Cloud Monitoring, and the REST API. Use when the telemetry to fetch is already known, selecting telemetry tools, writing performant INFORMATION_SCHEMA queries, retrieving telemetry for diagnosing single-job performance bottlenecks, investigating slot contention, job concurrency and queue latency, analyzing reservation capacity, utilization and autosca cloud-run-alert-configurationgoogleConfigures best-practice, high-signal alerting policies for Google Cloud Run resources (services, jobs, and worker pools) based on seasoned SRE practices. Use when analyzing, recommending, writing, or deploying Terraform PromQL alerting policies to monitor Cloud Run error rates (4xx/5xx), request latency, container instance saturation (warning/critical), container CPU/memory utilization and allocation, billable instance time, job execution status, and worker pool queue backlog. Don't use for GKE gke-storage-troubleshootinggoogleDiagnoses GKE persistent-storage failures — volume attach/mount errors (Regional PD on optimized VMs, fsGroup mount timeouts), disk-performance and node storage-pressure issues, slow-disk Pod-creation failures, volume-expansion problems, Local SSD / Hyperdisk Storage Pool creation errors, and Cloud Storage FUSE OOM. Use when Pods are stuck in ContainerCreating, volumes fail to attach or mount, or nodes report storage pressure. Don't use for routine storage provisioning or StorageClass/PVC author gke-workload-identitygoogleDiagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or GKE metadata server unreachable) by verifying cluster and node-pool Workload Identity configuration, the Kubernetes ServiceAccount (KSA) to IAM binding (direct principal binding and legacy Google ServiceAccount impersonation), target-resource IAM roles, and gke-metadata-server health. Use when a Pod cannot authenti google-cloud-filestore-nfs-browsergoogleInspects, searches, and reads files and POSIX metadata on Google Cloud Filestore (NFS) instances without local NFS client packages or root privileges. Use when browsing Filestore shares, searching files, reading remote logs, or inspecting file attributes; don't use for Cloud Storage buckets, Cloud NetApp Volumes, Persistent Disks, or modifying/deleting files.persona-it-admingoogleworkspaceAdminister IT — monitor security and configure Workspace.frontend-session-rcagrafanaDiagnoses a Grafana Frontend Observability (RUM) session: whether it is healthy, what went wrong, ranked problems with timestamps and evidence, likely cause, how to fix it. Optional follow-up: zoom in on the top error, impact across sessions, Session Replay, or a Tempo trace if the user asks. Fetches telemetry with `gcx frontend sessions get --save` and reads only that dump file. Use when the user asks to explain, diagnose, analyse, RCA, or review a session; asks if a session is healthy; pastes provider-configurationhashicorpImplement Terraform provider configuration and authentication with the Plugin Framework: provider schema for credentials (Optional + Sensitive attributes), environment variable fallbacks, credential provider chains (static config, then environment variables, shared credentials file, and platform identity), unknown-value guards in Configure(), secret redaction, configure-time credential validation, and diagnostics that name every source tried. Use when implementing or reviewing a provider's Confi provider-ephemeral-resourceshashicorpImplement Terraform provider ephemeral resources with the Plugin Framework: the Open/Renew/Close lifecycle, ephemeral schema design, registration via EphemeralResources, renewal for expiring credentials, and how ephemeral values flow into write-only attributes and provider configuration. Use when adding an ephemeral resource, exposing secrets/tokens/certificates that must never persist in state or plan, deciding between an ephemeral resource and a data source, or wiring short-lived credentials f provider-framework-migrationhashicorpMigrate Terraform provider resources and data sources from Plugin SDKv2 to the Plugin Framework: muxing both plugins in one provider (terraform-plugin-mux, tf5to6server), per-resource migration workflow, SDKv2-to-Framework schema mapping (ForceNew, ValidateFunc, DiffSuppressFunc, Default, Timeouts, blocks), null-vs-zero-value behavioral traps, and state-compatibility verification. Use when converting or translating SDKv2 resources to the Framework, setting up a muxed provider server, deciding wh terraform-policyhashicorpWrite, test, or convert Terraform Policy files (.policy.hcl, .policytest.hcl, Sentinel→tfpolicy). Triggers: policy.hcl, policytest, convert sentinel, tfpolicy, write a policy.cli-anything-eth2-quickstarthkudsUse eth2-quickstart to autonomously deploy a hardened Ethereum node, install execution and consensus clients, configure validator metadata, expose RPC safely, and inspect node health with structured JSON output.huawei-cloud-devbridge-tunnelhuaweicloudCreate and manage DevBridge development tunnels on Huawei Cloud to securely expose local development services to remote devices. Based on DevBridge CLI v0.1.12+ and Huawei Cloud IAM authentication. Use this skill when the user wants to: (1) install and configure the DevBridge CLI, (2) create/list/update/delete tunnels, (3) manage tunnel ports and protocols, (4) host local services through tunnels, (5) connect to remote tunnels from another device, (6) manage authentication and tokens. Trigger: u hf-cloud-aws-context-discoveryhuggingfaceDiscover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work — deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account. Use it especially when the user has not specified a region or profile explicitly, when they say things like "use my AWS account", "deploy to AWS", "use my profile", or when about to make any AWS CLI or SDK call. Never guess the regi hf-cloud-python-env-setuphuggingfaceSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most hf-cloud-sagemaker-deployment-plannerhuggingfacePlan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffusion model", "host this for async inference", "create an endpoint", "serve my fine-tuned model", or any request that involves making a model available for inference on AWS. Use thi hf-cloud-sagemaker-iam-preflighthuggingfaceEnsure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are about to call `iam:CreateRole`, or when an AccessDenied error mentions an IAM action. Never blindly call `iam:CreateRole` — always check for existing roles first. This skill prevents the most common Sa hf-cloud-sagemaker-production-defaultshuggingfaceCreate a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoin hf-cloud-serving-image-selectionhuggingfacePick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Lear huggingface-spaceshuggingfaceBuild, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.huggingface-zerogpuhuggingfaceAI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure t hummingbot-deployhummingbotDeploy Hummingbot trading infrastructure including API server, MCP server, and Condor Telegram bot. Use this skill when the user wants to install, deploy, set up, or configure Hummingbot.iii-engine-configiii-hqConfigure a managed iii engine through worker-compose.yaml or a directly supervised engine through config.yaml. Use for engine ports, RBAC via the rbac-proxy worker, streams, sandboxes, and configuration storage.iii-getting-startediii-hqInstall the iii engine, set up your first worker, and get a working backend running. Use when a user wants to start a new iii project, install the SDK, or needs help with initial setup and configuration.