Diagnoses and fixes DNS resolution issues in the network infrastructure including Pi-hole not resolving locally, router DNS configuration, and DNS record verification. Use when services can't be accessed via domain names, "can't access pihole.temet.ai", DNS not resolving, or need to verify Pi-hole DNS records. Triggers on "DNS not working", "can't resolve domain", "domain not found", "Pi-hole DNS issue", "fix DNS", or "troubleshoot DNS resolution". Works with Pi-hole DNS, docker-compose.yml FTLCONF variables, and local network DNS resolution.

Manages Python project dependencies with uv. Learn how to add, remove, and updates dependencies, organize them into groups (dev, test, lint, docs), pin versions, handle conflicts, and manages lock files for reproducible installations across environments. Use when adding or updating packages, organizing development dependencies, resolving version conflicts, or managing lock files in CI/CD pipelines.

Manages Gradle dependencies using version catalogs, BOMs, and dependency constraints. Use when setting up dependency management, centralizing versions, resolving conflicts, or configuring multi-module dependency sharing. Triggers on "setup version catalog", "centralize dependencies", "resolve version conflict", or "configure Gradle BOM". Works with gradle/libs.versions.toml and includes Bill of Materials, dependency constraints, and Spring Boot/GCP BOM integration.

Debugs and fixes Terraform errors systematically. Use when encountering Terraform failures, state lock issues, provider errors, syntax problems, or unexpected infrastructure changes. Includes debugging workflows, error categorization, common GCP-specific issues, and recovery procedures.

Provision and manage cloud infrastructure using Infrastructure as Code. Use when creating or modifying GCP resources, managing Pub/Sub topics and subscriptions, configuring IAM bindings, deploying multi-environment infrastructure, or tracking infrastructure state. Works with GCP, Kubernetes, and remote state management.

Use this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.

Agentforce session tracing extraction and analysis. TRIGGER when: user extracts STDM data from Data Cloud, analyzes agent session traces, debugs agent conversations via telemetry, or works with .parquet files from Agentforce. DO NOT TRIGGER when: testing agents (use sf-ai-agentforce-testing), Apex debug logs (use sf-debug), or building agents (use sf-ai-agentforce).

Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.

Guide AI agents to generate complete PageObject pattern web scraper projects using Playwright and TypeScript with Docker deployment. Supports agent-browser site analysis for automated selector discovery. Keywords: scraper, playwright, pageobject, web scraping, docker, typescript, data extraction, automation.

Salesforce data operations with 130-point scoring. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, or needs data factory patterns for Apex tests. DO NOT TRIGGER when: SOQL query writing only (use sf-soql), Apex test execution (use sf-testing), or metadata deployment (use sf-deploy).

Salesforce metadata generation and querying with 120-point scoring. TRIGGER when: user creates custom objects, fields, validation rules, or touches .object-meta.xml, .field-meta.xml, .profile-meta.xml files. DO NOT TRIGGER when: permission set analysis (use sf-permissions), deploying metadata (use sf-deploy), or Flow XML (use sf-flow).

Comprehensive infrastructure engineering covering DevOps, cloud platforms, FinOps, and DevSecOps. Platforms: AWS (EC2, Lambda, S3, ECS, EKS, RDS, CloudFormation), Azure basics, Cloudflare (Workers, R2, D1, Pages), GCP (GKE, Cloud Run, Cloud Storage), Docker, Kubernetes. Capabilities: CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), GitOps, infrastructure as code (Terraform, CloudFormation), container orchestration, cost optimization, security scanning, vulnerability management, secrets management, compliance (SOC2, HIPAA). Actions: deploy, configure, manage, scale, monitor, secure, optimize cloud infrastructure. Keywords: AWS, EC2, Lambda, S3, ECS, EKS, RDS, CloudFormation, Azure, Kubernetes, k8s, Docker, Terraform, CI/CD, GitHub Actions, GitLab CI, Jenkins, ArgoCD, Flux, cost optimization, FinOps, reserved instances, spot instances, security scanning, SAST, DAST, vulnerability management, secrets management, Vault, compliance, monitoring, observability. Use when: deploying to AWS/Azure/GCP/Cloudflare, setting up CI/CD pipelines, implementing GitOps workflows, managing Kubernetes clusters, optimizing cloud costs, implementing security best practices, managing infrastructure as code, container orchestration, compliance requirements, cost analysis and optimization.

Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, optimize prompt, improve prompt, optimize agent instructions, agent optimizer, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, AI Services, create Foundry resource, provision, knowledge index, customize deployment, onboard, availability, fine-tune, SFT, DPO, RFT, training-data, grader, distillation, fine-tuned model, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).

Salesforce Flex Credit estimation for Agentforce and Data Cloud workloads. TRIGGER when: user needs cost projections, scenario planning, budget sizing, or architecture tradeoff analysis for Agentforce prompts/actions, Data Cloud meters, or monthly Flex Credit usage. DO NOT TRIGGER when: user is building Agentforce metadata or .agent files themselves (use sf-ai-agentforce or sf-ai-agentscript), implementing Data Cloud assets (use sf-datacloud-*), or asking for contract-specific commercial approval that depends on non-public pricing terms.

Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. Trigger keywords: physical ai infrastructure, resilient scaling, SDG infrastructure, microk8s, azure aks, NVCF deployment, NIM Operator, OSMO deploy, workflow scaling. Don't trigger for: OSMO log summarization or workload-only operations unless infrastructure setup, scaling, validation, or recovery is requested.

Fine-tune models on Azure AI Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).

Use when creating, editing, or reviewing TYPO3 extension documentation (Documentation/*.rst, guides.xml, README.md, XLF translations), rendering docs with Docker, using TYPO3 RST directives, adding screenshots, deploying to docs.typo3.org, improve docs, fix documentation, or XLIFF 2-space indentation (TYPO3 v14+).

Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).

Create, generate, or scaffold GitHub Actions workflows, action.yml, or .github/workflows CI/CD pipelines.

Generate/create/scaffold Jenkinsfile — declarative, scripted, shared library, CI/CD pipelines.

Build, deploy, and manage n8n workflow automations on PSD's internal server. Use when: creating workflows, checking n8n status, managing executions, building automations, connecting PSD systems (Freshservice, PowerSchool, Google Workspace, Red Rover) via n8n. Triggers on: n8n, workflow automation, webhook, n8n build, n8n status, n8n workflows, n8n form.

Permission Set analysis, hierarchy viewer, and access auditing. TRIGGER when: user asks "who has access to X?", analyzes permission sets/groups, or touches .permissionset-meta.xml / .permissionsetgroup-meta.xml files. DO NOT TRIGGER when: creating new metadata (use sf-metadata), deploying permission sets (use sf-deploy), or Apex sharing logic (use sf-apex).

Use when managing and troubleshoot Alibaba Cloud ALB (Application Load Balancer), including the user asks to inspect, create, change, or debug ALB instances, listeners, server groups, rules, certificates, ACLs, security policies, or health checks in Alibaba Cloud.

Use when setting up CI/CD pipelines, containerizing applications, deploying to Kubernetes, or writing infrastructure as code. DevOps & Deployment covers GitHub Actions, Docker, Helm, and Terraform patterns.

Golden dataset lifecycle patterns for curation, versioning, quality validation, and CI integration. Use when building evaluation datasets, managing dataset versions, validating quality scores, or integrating golden tests into pipelines.

End-to-end testing patterns with Playwright — page objects, AI agent testing, visual regression, accessibility testing with axe-core, and CI integration. Use when writing E2E tests, setting up Playwright, implementing visual regression, or testing accessibility.

Audits AI-implemented work for honest completion. Runs independent-evaluator checks against task artifacts, transcripts, tests, CI evidence, requirement-to-test mapping, status front matter, and quality gates; flags skipped tests, weakened assertions, mock-only confidence, snapshot drift, happy-path-only coverage, flaky retries, and status/evidence mismatches. Use when validating completed Compozy tasks, AI-authored PRs, or codex-loop iterations. Do not use for real-user QA, persona/journey testing, exploratory charters, or product usability sessions; use qa-execution for those.

Control Athom Homey smart home devices via local (LAN/VPN) or cloud APIs. List/control devices, trigger flows, query zones. Works with Homey Pro, Cloud, and Bridge.

Use to select, configure, deploy, verify, debug, or tear down a VSS profile (base, search, lvs, warehouse, edge). Not for standalone microservices — use the vss-deploy-* skill.

Build, modify, debug, and deploy agents with Agentforce Agent Script. TRIGGER when: user creates, modifies, or asks about .agent files or aiAuthoringBundle metadata; changes agent behavior, responses, or conversation logic; designs agent actions, tools, subagents, or flow control; writes or reviews an Agent Spec; previews, debugs, deploys, publishes, or tests agents; uses Agent Script CLI commands (sf agent generate/preview/publish/test). DO NOT TRIGGER when: Apex development, Flow building, Prompt Template authoring, Experience Cloud configuration, or general Salesforce CLI tasks unrelated to Agent Script.

Salesforce Industries CME EPC product-modeling skill for Product2-based catalog creation. Use when creating EPC products, configuring product attributes, building offer bundles with Product Child Items, or reviewing EPC DataPack JSON metadata for product catalog changes. TRIGGER when: user creates or updates Product2 EPC records, AttributeAssignment payloads, AttributeMetadata/AttributeDefaultValues, Offer bundles, or ProductChildItem relationships. DO NOT TRIGGER when: designing OmniScripts/FlexCards/Integration Procedures (use sf-industry-commoncore-* skills), implementing Apex business logic (use sf-apex), or troubleshooting deployment pipelines (use sf-deploy).

Perform security operations on OpenClaw environments by calling Alibaba Cloud Security Center (SAS) and ECS APIs via the aliyun CLI. Supports asset queries, vulnerability detection, baseline checks, alert analysis, daily security report generation, and Cloud Assistant command execution. Use this skill when users need to query OpenClaw security status, handle security alerts, check vulnerability risks, execute emergency commands, or generate security reports.

Guides developers through Enonic CLI commands for sandbox management, project scaffolding, local development, app deployment, and CI/CD pipeline generation. Use when creating Enonic XP sandboxes, starting or stopping local instances, scaffolding projects from starters, running dev mode with hot-reload, deploying apps, or generating CI/CD workflows for Enonic apps. Don't use for writing XP application code (controllers, content types), querying via Guillotine or lib-content APIs, configuring non-Enonic environments, or Docker/Kubernetes deployment of XP.

Use when evaluating projects for production or enterprise readiness, implementing supply chain security (SLSA, cosign, SBOMs, pnpm), hardening CI/CD pipelines, establishing quality gates (TYPO3: CI matrix PHP 8.2-8.5 x TYPO3 12.4/13.4/14.3 LTS), pursuing OpenSSF Best Practices Badge (Passing/Silver/Gold) or OSPS Baseline levels, reviewing code quality, writing ADRs, or configuring Git hooks and CI pipelines.

Guide for implementing 1Password secrets management - CLI operations, service accounts, Developer Environments, and Kubernetes integration. Use when retrieving secrets, managing vaults, configuring CI/CD pipelines, integrating with External Secrets Operator, managing Developer Environments, or automating secrets workflows with 1Password.

Operating production Kubernetes clusters effectively with resource management, advanced scheduling, networking, storage, security hardening, and autoscaling. Use when deploying workloads to Kubernetes, configuring cluster resources, implementing security policies, or troubleshooting operational issues.

Comprehensive Windows workstation operations - diagnose slow boot, identify failing drives, decode BSOD crashes, manage startup apps, audit event logs. Use for: Windows is slow, slow bootup, won't boot, blue screen, BSOD, kernel crash, drive failing, SMART errors, disk errors, Event 41, Event 129, storahci reset, BugCheck, CRITICAL_PROCESS_DIED, crash dump, MEMORY.DMP, minidump, msconfig, services.msc, registry Run keys, StartupApproved, scheduled tasks at logon, slow login, high CPU at boot, Adobe startup, Docker startup, disable startup app.

Debug and troubleshoot Flux CD on live Kubernetes clusters (not local repo files) via the Flux MCP server — inspects Flux resource status, reads controller logs, traces dependency chains, and performs installation health checks. Use when users report failing, stuck, or not-ready Flux resources on a cluster, reconciliation errors, controller issues, artifact pull failures, or need live cluster Flux Operator troubleshooting.

Implement GitOps continuous delivery for Kubernetes using ArgoCD or Flux. Use for automated deployments with Git as single source of truth, pull-based delivery, drift detection, multi-cluster management, and progressive rollouts.

Diagnose devcontainer configuration problems and guide development environment setup. This skill should be used when the user asks to 'set up devcontainer', 'fix container startup', 'configure VS Code dev container', 'Codespaces setup', or has Docker development environment issues. Keywords: devcontainer, docker, VS Code, Codespaces, container, development environment, Dockerfile.

Build headless automation and agentic workflows with Google's Gemini CLI. Covers approval modes (default, auto_edit, yolo), file permission model, Edit vs WriteFile tool selection, smartEdit configuration, GEMINI.md context files, settings.json hierarchy, and MCP server integration. Use when building CI/CD pipelines with Gemini, debugging "0 occurrences found" edit failures, configuring --approval-mode for automation, creating long-running agents with --resume, or integrating external services via Model Context Protocol.

Deployment patterns from Kubernetes to serverless and edge functions. Use when deploying applications, setting up CI/CD, or managing infrastructure. Covers Kubernetes (Helm, ArgoCD), serverless (Vercel, Lambda), edge (Cloudflare Workers, Deno), IaC (Pulumi, OpenTofu, SST), and GitOps patterns.

Platform-specific deployment scripts and configurations. Use when deploying applications, configuring cloud platforms, validating deployment environments, setting up CI/CD pipelines, or when user mentions Vercel, Netlify, AWS, Docker, deployment config, build scripts, or environment validation.

Use this when creating new projects, generating documentation, cleaning/organizing a repo, suggesting architecture, deploying containers and services, naming files/folders, or when the user references 'ecosystem', 'patterns', or 'containers'. This skill outlines naming conventions, stack preferences, project organization (iMi worktrees), Docker patterns, and PRD structures from past conversations.

Use when establishing branching strategies, implementing Conventional Commits, creating or reviewing PRs, resolving PR review comments, merging PRs (including CI verification, auto-merge queues, and post-merge cleanup), managing PR review threads, merging PRs with signed commits, handling merge conflicts, creating releases, integrating Git with CI/CD, setting up git hooks (lefthook, captainhook, husky, pre-commit), or debugging hook-install failures in git worktrees.

Authors, reviews, installs, and debugs GitHub Agentic Workflows in repositories, including workflow markdown, frontmatter, gh aw compile and run flows, safe outputs, security guardrails, and operational patterns. Use when creating or maintaining GH-AW automation. Don't use for standard deterministic GitHub Actions YAML, generic CI pipelines, or non-GitHub automation systems.

Validate, lint, audit, or fix .gitlab-ci.yml pipelines, stages, and jobs.

Infrastructure as Code with Terraform and Terragrunt. Use this skill whenever the user mentions Terraform, Terragrunt, HCL, or infrastructure as code. Triggers include writing or reviewing .tf files, creating reusable modules, debugging terraform plan/apply errors, managing remote state and locks, fixing state drift, setting up CI/CD for Terraform, scaffolding new modules, validating module structure, and implementing Terragrunt DRY patterns across environments.

Validate, lint, audit, or dry-run Kubernetes manifests (Deployment, Service, ConfigMap, CRD).

Manages the rhdh-plugin-export-overlays repository — onboards plugins to the Extensions Catalog, updates plugin versions, fixes overlay build failures, triages and analyzes PRs, triggers publishes, and manages plugin workspaces. Use when working with overlays, importing plugins, debugging CI, checking PRs, bumping versions, or mentions "Extensions Catalog", "overlay build failed", "plugin registry", "overlay PR", "overlay doctor", "plugin import", "add plugin to catalog", "onboard plugin", or "plugin workspace".

Create, generate, write, or scaffold Terraform .tf HCL — resources, modules, providers, variables, outputs.

Use when deploying, managing, or working with Vercel projects without using the dashboard. Triggers: "vercel deploy", "manage vercel", "vercel project", "vercel domain", "vercel environment", "vercel ci/cd", "vercel promotion", "vercel rollback", "vercel functions", "vercel edge", "vercel analytics", "vercel dns", "vercel ssl", "vercel team". Provides comprehensive workflows for authentication, deployment, domain management, environment variables, team collaboration, and production-ready CI/CD patterns.

Comprehensive Azure cloud expertise covering all major services (App Service, Functions, Container Apps, AKS, databases, storage, monitoring). Use when working with Azure infrastructure, deployments, troubleshooting, cost optimization, IaC (Bicep/ARM), CI/CD pipelines, or any Azure-related development tasks. Provides scripts, templates, and best practices for production-ready Azure solutions.

Conductor skill that formalizes any domain-tied product through a 5-phase protocol (identify-map-encode-express-deploy) expressed through four rhetorical modes (logos-ethos-pathos-kairos). Orchestrates seven existing skills.

Configure security information and event management (SIEM) systems for threat detection, log aggregation, and compliance. Use when implementing centralized security logging, writing detection rules, or meeting audit requirements across cloud and on-premise infrastructure.

CI/CD pipeline patterns with GitHub Actions, release automation, and testing strategies. Use for: github actions, workflow, CI, CD, pipeline, deploy, release, semantic release, changesets, goreleaser, matrix, cache, secrets, environment, artifact, reusable workflow, composite action.

This skill should be used when the user asks to "run ssh command", "execute on server", "ssh session", "upload file", "download file", "ssh tunnel", "check server status", "monitor server", "deploy files", "backup server", or needs remote server management. This skill emphasizes session reuse, workdir organization, and content persistence for sustainable operations.

Use when analyzing TYPO3 Forge issues, submitting patches to Gerrit, contributing core bug fixes, documentation contributions, cherry-pick workflows, or CI debugging on Gerrit. Core `main` branch is v15-in-progress (PHP 8.4/8.5); v14.3 LTS bugfixes land on branch `14.3` and are backported via cherry-pick. Also triggers on: forge.typo3.org, core patch, Gerrit review, TYPO3 Core contribution.

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.

Generate/create Loki configs — ingester, querier, compactor, ruler, S3/GCS/Azure backends.

Handles all RHDH-related work — "RHDH", "Red Hat Developer Hub", or "Developer Hub". Primary entry point for plugin development, overlay management, environment setup, repo navigation, version compatibility, CI/CD, configuration, debugging, and general RHDH ecosystem knowledge. Routes to specialized sub-skills as needed. Use when asked about RHDH version compatibility, RHDH CI pipeline, RHDH configuration, which RHDH repo to use, RHDH release status, RHDH debugging, or any Developer Hub question.

Approval workflow templates with GitHub Actions and Slack integration for multi-stakeholder release gating. Use when setting up approval workflows, configuring stakeholder gates, automating approval notifications, integrating Slack webhooks, requesting release approvals, tracking approval status, or when user mentions release approval, stakeholder sign-off, approval gates, multi-stage approvals, or release gating.

Evaluate, configure, and migrate workloads to AWS Lambda Managed Instances (LMI). Triggers on: Lambda Managed Instances, LMI, capacity provider, multi-concurrency Lambda, dedicated instance Lambda, EC2-backed Lambda, cold start elimination, Graviton Lambda, instance type for Lambda, Lambda cost optimization with Reserved Instances or Savings Plans. Also trigger when users describe high-volume predictable workloads seeking cost savings, or compare Lambda vs EC2 for steady-state traffic. For standard Lambda without LMI, use the aws-lambda skill instead.

Infrastructure, deployment, and operations patterns for Docker, Kubernetes, and CI/CD

Create, generate, or write Dockerfiles and multi-stage Docker images. Containerize apps.

Complete GitHub expertise covering GitHub Actions, CI/CD workflows, automation, repository management, and best practices. Use when setting up GitHub Actions, creating workflows, managing pull requests, configuring automation (Dependabot, CodeQL), or implementing GitHub best practices. Includes workflow generators, templates, and production-ready configurations.

Comprehensive GitOps methodology and principles skill for cloud-native operations. Use when (1) Designing GitOps architecture for Kubernetes deployments, (2) Implementing declarative infrastructure with Git as single source of truth, (3) Setting up continuous deployment pipelines with ArgoCD/Flux/Kargo, (4) Establishing branching strategies and repository structures, (5) Troubleshooting drift, sync failures, or reconciliation issues, (6) Evaluating GitOps tooling decisions, (7) Teaching or explaining GitOps concepts and best practices, (8) Deploying ArgoCD on Azure Arc-enabled Kubernetes or AKS with workload identity. Covers the 4 pillars of GitOps (OpenGitOps), patterns, anti-patterns, tooling ecosystem, Azure Arc integration, and operational guidance.

Manage DNS records, TTL strategies, and DNS-as-code automation for infrastructure. Use when configuring domain resolution, automating DNS from Kubernetes with external-dns, setting up DNS-based load balancing, or troubleshooting propagation issues across cloud providers (Route53, Cloud DNS, Azure DNS, Cloudflare).

Implementing multi-layer security scanning (container, SAST, DAST, SCA, secrets), SBOM generation, and risk-based vulnerability prioritization in CI/CD pipelines. Use when building DevSecOps workflows, ensuring compliance, or establishing security gates for container deployments.

Generates a Jupyter notebook that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS), generates deployment code, and handles endpoint configuration.

Comprehensive observability setup patterns for Google ADK agents including logging configuration, Cloud Trace integration, BigQuery Agent Analytics, and third-party observability tools (AgentOps, Phoenix, Weave). Use when implementing monitoring, debugging agent behavior, analyzing agent performance, setting up tracing, or when user mentions observability, logging, tracing, BigQuery analytics, AgentOps, Phoenix, Arize, or Weave.

Write robust, portable shell scripts with proper error handling, argument parsing, and testing. Use when automating system tasks, building CI/CD scripts, or creating container entrypoints.

Grey Haven's comprehensive testing strategy - Vitest unit/integration/e2e for TypeScript, pytest markers for Python, >80% coverage requirement, fixture patterns, and Doppler for test environments. Use when writing tests, setting up test infrastructure, running tests, debugging test failures, improving coverage, configuring CI/CD, or when user mentions 'test', 'testing', 'pytest', 'vitest', 'coverage', 'TDD', 'test-driven development', 'unit test', 'integration test', 'e2e', 'end-to-end', 'test fixtures', 'mocking', 'test setup', 'CI testing'.

Write GitHub Actions workflows with proper syntax, reusable workflows, composite actions, matrix builds, caching, and security best practices. Use when creating CI/CD workflows for GitHub-hosted projects or automating GitHub repository tasks.

Vercel and Cloudflare canary deployment patterns with traffic splitting, gradual rollout automation, and rollback strategies. Use when deploying with canary releases, implementing progressive rollouts, managing traffic splitting, configuring A/B deployments, or when user mentions canary deployment, blue-green deployment, gradual rollout, traffic shifting, or deployment rollback.

Complete GitHub Pages deployment and management system. Static site hosting with Jekyll, custom domains, and GitHub Actions. USE WHEN user mentions 'github pages', 'deploy static site', 'host website on github', 'jekyll site', 'custom domain for github', OR wants to publish a website from a repository.

Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines, creates packages, sets up monorepo, shares code between apps, runs changed/affected packages, debugs cache, or has apps/packages directories.

Turborepo monorepo build system guidance. Triggers on: `turbo.json`, task pipelines, `dependsOn`, caching, remote cache, the `turbo` CLI, `--filter`, `--affected`, CI optimization, environment variables, internal packages, monorepo structure, and package boundaries. Use when the user configures tasks or workflows, creates packages, sets up a monorepo, shares code between apps, runs changed packages, debugs cache behavior, or works in an `apps/` plus `packages/` workspace.

Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines, creates packages, sets up monorepo, shares code between apps, runs changed/affected packages, debugs cache, or has apps/packages directories.

Production MLOps covering CI/CD, serving, drift monitoring, and GenAI security. Use when deploying or operating ML and LLM systems in production.

Use when querying distributed traces or application metrics in Alibaba Cloud ARMS (Application Real-Time Monitoring Service). Use for trace search by service/duration/tags, trace detail and method stack retrieval, application listing, and performance metrics queries.

Set up CI/CD pipelines for Adobe App Builder projects. Generates GitHub Actions workflows using adobe/aio-cli-setup-action@3 and adobe/[email protected], plus patterns for Azure DevOps and GitLab CI. Handles OAuth S2S secrets injection, multi-workspace promotion (stage → prod), deploy gating with manifest validation. Use this skill whenever the user mentions CI/CD for App Builder, GitHub Actions for aio deploy, automated deployment pipelines, continuous integration, continuous delivery, deploy automation, multi-environment promotion, aio app add ci, or wants to automate their App Builder build and release process. Also trigger when users mention deploy workflows, release pipelines, or GitHub secrets for App Builder.

Azure cost management: query costs, forecast spending, optimize to reduce waste. WHEN: "Azure costs", "Azure bill", "cost breakdown", "how much am I spending", "forecast spending", "optimize costs", "reduce spending", "orphaned resources", "rightsize VMs", "cost spike", "reduce storage costs", "AKS cost". DO NOT USE FOR: deploying resources, provisioning, diagnostics, or security audits.

Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.

Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.

Data lake and lakehouse patterns: ingestion, CDC, Iceberg/Delta/Hudi, Trino/DuckDB, orchestration, and governance. Self-hosted and cloud.

Write, fix, review, debug, and validate Flutter tests for apps, packages, and plugins. Use when adding unit tests, widget tests, integration tests, MethodChannel or plugin mocks, Mockito or mocktail test doubles, golden or accessibility checks, CI test commands, test failures, MissingPluginException, pump or pumpAndSettle problems, finder errors, build_runner mock generation, device integration testing, web integration testing, or flaky Flutter tests.

Google Cloud Platform configuration templates for BigQuery ML and Vertex AI training with authentication setup, GPU/TPU configs, and cost estimation tools. Use when setting up GCP ML training, configuring BigQuery ML models, deploying Vertex AI training jobs, estimating GCP costs, configuring cloud authentication, selecting GPUs/TPUs for training, or when user mentions BigQuery ML, Vertex AI, GCP training, cloud ML setup, TPU training, or Google Cloud costs.

Deploy, scale, and manage Kubernetes workloads. Create deployments, services, and configurations, manage cluster resources, troubleshoot pods, and implement production-ready Kubernetes patterns. Use when working with Kubernetes clusters, K8s deployments, or container orchestration.

DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.

Optimize cloud infrastructure costs through FinOps practices, commitment discounts, right-sizing, and automated cost management. Use when reducing cloud spend, implementing budget controls, or establishing cost visibility across AWS, Azure, GCP, and Kubernetes environments.

Use this skill when the user wants to hand off work to another person or to the next stage of the lifecycle. Trigger phrases "hand this off to", "give this to", "I'm OOO", "passing this to", "covering for", "ready for release", "ready for QA", "ready for review", "release notes", "deploy handoff", "write a handoff", "/pm-handoff". Produces recipient-facing briefs with four required blocks (summary, what's done + how to use it, what's NOT done + next steps, open questions). Routes through configured channels (Linear, GitHub, markdown, chat/email).

Executes real-user QA sessions through public interfaces using personas, journeys, exploratory charters, test tours, edge-case probes, CFR checks, and browser evidence. Reads qa-report artifacts from <qa-output-path>/qa/ when present, captures issues/screenshots/reports under the same output tree, and classifies bugs by user impact. Use when validating a release candidate, migration, refactor, or user-facing change against production-like behavior. Do not use for AI implementation audits, task-status reconciliation, CI gate runs, integration/security/performance templates, or flaky-test triage; use agent-output-audit for those.

Risk-based test strategy for software delivery. Use when defining coverage, setting CI gates, managing flaky tests, or establishing release criteria.

NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more).

SAP BTP Connectivity skill covering Destination Service, Connectivity Service, Cloud Connector, Connectivity Proxy, and Transparent Proxy for Kubernetes. Use when configuring destinations (HTTP, RFC, LDAP, MAIL, TCP), setting up cloud-to-on-premise connectivity, implementing OAuth and principal propagation, deploying connectivity proxies in Kubernetes/Kyma, troubleshooting connectivity errors (405, 407, 503), or configuring multitenancy.