Publish and deploy C# MCP servers. Covers NuGet packaging for stdio servers, Docker containerization for HTTP servers, Azure Container Apps and App Service deployment, and publishing to the official MCP Registry. USE FOR: packaging stdio MCP servers as NuGet tools, creating Dockerfiles for HTTP MCP servers, deploying to Azure Container Apps or App Service, publishing to the MCP Registry at registry.modelcontextprotocol.io, configuring server.json for MCP package metadata, setting up CI/CD for MCP server publishing. DO NOT USE FOR: publishing general NuGet libraries (not MCP-specific), general Docker guidance unrelated to MCP, creating new servers (use mcp-csharp-create), debugging (use mcp-csharp-debug), writing tests (use mcp-csharp-test).

Guided migration from AWS App Runner to Amazon ECS Express Mode. Covers IAM setup, deployment, custom domains, DNS cutover, cost comparison, and troubleshooting. Use when the user asks to "migrate from App Runner", "move to ECS Express Mode", "replace App Runner", or mentions App Runner deprecation.

Configure, explore, and optimize Nx monorepo workspaces. Use when setting up Nx, exploring workspace structure, configuring project boundaries, analyzing affected projects, optimizing build caching, or implementing CI/CD with affected commands. Keywords — nx, monorepo, workspace, projects, targets, affected. Do NOT use for running tasks (use nx-run-tasks) or code generation with generators (use nx-generate).

Terminal-first project bootstrapper and workspace context manager. Use when the user asks for /project-style workflows: detect current project, read project context/brief, run standardized targets (build/test/lint/deploy), init a .project bundle via plan/apply, manage artifacts, or expose these actions via MCP server mcp-project-router and CLI project.

Guide for Docker Sandboxes (sbx CLI). Run AI coding agents in isolated microVMs with hypervisor-level isolation, deny-by-default networking, and credential-injection proxies. Use when installing sbx, launching agent sandboxes, managing sandbox lifecycle, port-forwarding into a sandbox, copying files in or out, or reasoning about the microVM isolation boundary.

Configures EC2 instances to securely call AWS services by creating and attaching IAM roles via instance profiles, eliminating hardcoded credentials. Use when an EC2 instance needs permissions to access AWS services like S3, DynamoDB, SQS, or CloudWatch through temporary credentials.

Fetch project statistics from SpecStory Cloud. Run when user says "get project stats", "show SpecStory stats", "project statistics", "how many sessions", or "SpecStory metrics".

Chunked N-D arrays for cloud storage (Zarr-Python 3). Compressed arrays, parallel I/O, S3/GCS via fsspec, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

Use when a developer wants to create a new agent project or get started with AgentCore. Handles framework selection, project scaffolding, first deploy, and first invocation. Triggers on: "build an agent", "create an agent", "get started", "new project", "agentcore create", "which framework", "Strands vs LangGraph", "hello world agent", "first agent", "create MCP server", "host MCP server", "agentcore dev", "dev server", "what port", "local development". Not for adding capabilities to existing projects — use agents-build or agents-connect. Strands vs LangGraph in a migration context routes to agents-build, not here. Connecting to an existing MCP server routes to agents-connect, not here.

Alibaba Cloud Hologres Instance Management Skill. Use for listing and querying Hologres instances. Triggers: "hologres", "list instances", "get instance details", "hologres instance", "hologram".

Alibaba Cloud MaxCompute Project Management Skill. Use for creating, querying, and listing MaxCompute projects. Triggers: "maxcompute project", "odps project", "create maxcompute project", "manage maxcompute project", "list maxcompute project".

This skill should be used when working with Azure DevOps from the command line. Trigger when user mentions az devops, az repos, az pipelines, az boards, or asks about managing PRs, work items, pipelines, or repositories in Azure DevOps. Also trigger for questions about Azure DevOps CLI setup, authentication, or querying work items.

Builds Nango Functions in a checked-out Zero YAML TypeScript Nango project using local files, index.ts registration, nango dryrun, generated tests, and optional nango deploy via CLI. Use when creating, updating, validating, testing, or deploying Nango actions or syncs locally in a repo. This content overlaps with building-nango-functions but adds CLI workflow details, so load this instead of building-nango-functions whenever a local project, local files, Nango root, CLI, dryrun, generated tests, or nango deploy workflow is indicated.

Deployment automation specialist for CI/CD pipelines and infrastructure. Use when setting up deployment, configuring CI/CD, or managing releases.

Initialize feature-workflow for a project, or refresh CI files with --update. Creates docs/features/, .feature-workflow.yml, and optional GitHub Actions review setup.

This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle and coding guidelines. Entrypoint for building ADK agents. Always active — provides the full workflow (scaffold, build, evaluate, deploy, publish, observe), code preservation rules, model selection guidance, and troubleshooting steps for ADK or any agent development.

Iterate on a GitHub pull request — drive it through CI, code review, and QA until it is merge-ready. Poll verification layers with `gh` CLI, diagnose and fix CI failures, address review feedback, retry flaky checks, push fixes, and repeat. The agent is the orchestration loop.

Serverless 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.

Serverless 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.

Serverless 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.

Fernet encryption, Kubernetes secrets, and secure token patterns for Platxa services. Covers Python cryptography, K8s Secret objects, key rotation, and constant-time token verification.

Shepherd PRs through CI and reviews to merge readiness. Operates as an iteration loop within the synthesize phase (not a separate HSM phase). Uses assess_stack to check PR health, fix failures, and request approval. Triggers: 'shepherd', 'tend PRs', 'check CI', or /shepherd.

Cloudflare CLI - manage DNS records, purge cache, and control Workers routes.

Dagger pipeline development, CI/CD workflow, and GitOps deployment flow. When user works with Dagger, mentions CI/CD pipelines, dagger commands, .dagger/ directory, deployment flow, how changes get deployed, or GitOps.

Multi-step deployment agent for full-stack apps. Build → Test → GitHub → Cloudflare Pages with human approval at each step.

Adds .NET Aspire cloud-native orchestration to existing .NET solutions. Analyzes solution structure to identify services (APIs, web apps, workers), creates AppHost and ServiceDefaults projects, configures service discovery, adds NuGet packages, and sets up distributed application orchestration. Use when adding Aspire to .NET solutions or creating new cloud-ready distributed applications.

Address review and issue comments on the open GitHub PR for the current branch using gh CLI. Use when user says "address PR comments", "fix review feedback", "respond to PR review", or "handle PR comments". Verifies gh auth first and prompts to authenticate if not logged in. Do NOT use for creating PRs, CI debugging (use gh-fix-ci), or general Git operations.

Generates comprehensive GitHub activity reports across all authenticated accounts. Gathers repos, PRs, features, and themes for configurable time periods (1/5/7/30/90 days). Produces shareable markdown with tables, mermaid charts, and executive summaries. Can create a private repo with GitHub Actions automation and GitHub Pages aggregation site. Use when: "github report", "work report", "activity summary", "what did I work on", "gh-work-report", "show my github activity".

Use when setting up linting for a Go project, configuring golangci-lint, or adding Go checks to a CI/CD pipeline. Also use when starting a new Go project and deciding which linters to enable, even if the user only asks about "code quality" or "static analysis" without mentioning specific linter names. Does not cover code review process (see go-code-review).

Install and operate the kubernetes-sigs/agent-sandbox controller and CRDs for per-session, isolated AI agent pods on Kubernetes. Use when authoring SandboxTemplate / SandboxClaim manifests, configuring SandboxWarmPool for sub-second provisioning, applying default-deny NetworkPolicy, choosing between Kata Containers and gVisor as the RuntimeClass, or comparing managed GKE Agent Sandbox to the upstream open-source path.

Guide for implementing Grafana Loki - a horizontally scalable, highly available log aggregation system. Use when configuring Loki deployments, setting up storage backends (S3, Azure Blob, GCS), writing LogQL queries, configuring retention and compaction, deploying via Helm, integrating with OpenTelemetry, or troubleshooting Loki issues on Kubernetes.

This skill should be used when the user asks about "kubernetes policy", "gatekeeper", "constraint template", "terraform policy", "conftest", "terraform compliance", "docker policy", "dockerfile policy", "envoy authz", "envoy authorization", "service mesh policy", "cloud policy", "aws policy rego", "azure policy rego", "gcp policy rego", or mentions writing OPA policies for a specific platform. Provides platform-specific Rego patterns and input schemas.

Discover existing cloud resources using Terraform Search queries and bulk import them into Terraform management. Use when bringing unmanaged infrastructure under Terraform control, auditing cloud resources, or migrating to IaC.

Diagnose Windows App (Microsoft Remote Desktop / Azure Virtual Desktop / W365) connection quality issues on macOS. Analyze transport protocol selection (UDP Shortpath vs WebSocket), detect VPN/proxy interference with STUN/TURN negotiation, and parse Windows App logs for Shortpath failures. This skill should be used when VDI connections are slow, when transport shows WebSocket instead of UDP, when RDP Shortpath fails to establish, or when RTT is unexpectedly high.

Audits codebases against IT security, privacy, and compliance frameworks including LAUSD (NIST CSF 2.0), NJ K-12 (NJDPL), and AICPA SOC 2. Use when reviewing code, infrastructure (IaC), CI/CD pipelines, or schemas for school district compliance, data privacy, AI safety, or SOC 2 Trust Services Criteria. Supports individual or combined framework audits.

Cloud infrastructure and platform expert. Use when the user needs to understand a cloud domain (networking, orchestration, IaC, observability, etc.) from first principles before designing infrastructure — or when writing K8s manifests, Helm charts, or Terraform modules.

1800+ lines of DevOps mastery - CI/CD, code signing, app store, monitoring, Fastlane with production-ready code examples.

Deploy and query Databricks Model Serving endpoints. Use when (1) deploying MLflow models or AI agents to endpoints, (2) creating ChatAgent/ResponsesAgent agents, (3) integrating UC Functions or Vector Search tools, (4) querying deployed endpoints, (5) checking endpoint status. Covers classical ML models, custom pyfunc, and GenAI agents.

Expert guidance for using the GitLab CLI (glab) to manage GitLab issues, merge requests, CI/CD pipelines, repositories, and other GitLab operations from the command line. Use this skill when the user needs to interact with GitLab resources or perform GitLab workflows.

Use the LiveKit CLI to manage LiveKit Cloud projects, deploy agents, generate tokens, and configure telephony. Use this skill when working with the `lk` command-line tool for project setup, agent deployment, phone number management, or SIP configuration.

Generates Dockerfile and docker-compose configuration for multi-container development. Use when containerizing a project.

Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL. Originally from OpenAI's curated skills catalog.

Generates SwiftData or CoreData persistence layer with optional iCloud sync. Use when user wants to add local storage, data persistence, or cloud sync.

Information security expertise for cybersecurity frameworks (NIST, ISO 27001), security architecture, incident response, vulnerability management, identity management, and cloud security. Use when designing security programs, responding to incidents, or assessing vulnerabilities.

Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.

Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.

Use this skill when the user asks about Syncfusion Angular licensing, license keys, license registration, license validation errors, trial licenses, or license troubleshooting. This skill provides comprehensive guidance on generating, registering, and managing Syncfusion license keys for Angular applications, including edition-based and platform-based licensing models, registration methods, CI/CD integration, and resolving common licensing errors.

Guide to negotiating technology services agreements, professional services contracts, and commercial B2B transactions. Provides three-position frameworks (provider-favorable, balanced, client-favorable), deal-size tactics, objection handling templates, and concession roadmaps. Use when: (1) Developing negotiation strategies for SaaS, cloud, or managed services agreements, (2) Preparing position papers and fallback positions, (3) Responding to counterparty objections and demands, (4) Creating concession roadmaps that protect critical interests, (5) Assessing tactics based on deal value and leverage, or (6) Structuring balanced outcomes for liability, IP, payment, SLA, or warranty provisions.

Terraform and OpenTofu infrastructure as code - HCL, providers, modules, state management, and CLI operations When user works with .tf files, mentions Terraform, OpenTofu, tofu, HCL, infrastructure as code, or tf commands

Comprehensive guide for writing and running Terraform tests. Use when creating test files (.tftest.hcl), writing test scenarios with run blocks, validating infrastructure behavior with assertions, mocking providers and data sources, testing module outputs and resource configurations, or troubleshooting Terraform test syntax and execution.

Patterns for using Testcontainers in .NET integration tests to spin up real dependencies like databases and message queues. Use when writing integration tests that require real databases, testing with message brokers like RabbitMQ or Kafka, or isolating test dependencies with Docker containers.

This skill should be used when the user asks to "write a Tiltfile", "configure Tilt", "set up live update", "debug Tilt", "add a resource to Tilt", "optimize Tilt builds", "view Tilt logs", "restart a Tilt resource", or mentions Tiltfile, tilt up, tilt ci, tilt down, live_update, docker_build, custom_build, k8s_resource, local_resource, or Kubernetes local development with Tilt.

Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Configure and deploy Workflow Launchers that automatically start workflows in response to JCR content changes on AEM 6.5 LTS

Use when OCR-specialized extraction is needed with Alibaba Cloud Model Studio Qwen OCR models (`qwen-vl-ocr`, `qwen-vl-ocr-latest`, and snapshots), including document parsing, table parsing, multilingual OCR, formula recognition, and key information extraction.

Use when the user needs to integrate OpenClaw with Alibaba Cloud SLS/Observability, including collector setup, machine groups, indexes, dashboards, collection configs, or Logtail bindings on Linux.

Automated data quality and transformation capabilities for Dataform/dbt/BigQuery pipelines. Processes data sourced from BigQuery or Cloud Storage (GCS), applying best practices for data ingestion, movement, schema mapping, and comprehensive data cleaning.

Master DevOps, cloud infrastructure, containerization, CI/CD, Kubernetes, and infrastructure as code. Use when deploying applications, setting up infrastructure, or managing cloud services.

Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Crée une Pull Request en mode Continuous Delivery avec workflow complet : QA, labels version (major/minor/patch), feature flags, code review automatique.

Write and maintain GitHub Actions CI workflows, including workflow YAML structure, triggers, runners, matrix builds, caching, testing patterns, and secrets management. Use when working with .github/workflows, GitHub Actions, CI pipelines, workflow dispatch, or action configuration.

Configure, deploy, and troubleshoot Model Context Protocol (MCP) servers for AI agent workflows. Use when setting up MCP servers, debugging connection issues, managing multi-server configurations, integrating with Claude Desktop/Code/Cowork, or designing custom tool servers. Triggers on MCP configuration, tool server development, Claude integration issues, or agent infrastructure setup.

Use Neo4j GenAI Plugin ai.text.* functions and procedures for in-Cypher embedding generation, text completion, structured output, chat, tokenization, and batch ingestion. Covers ai.text.embed(), ai.text.embedBatch(), ai.text.completion(), ai.text.structuredCompletion(), ai.text.aggregateCompletion(), ai.text.chat(), ai.text.tokenCount(), ai.text.chunkByTokenLimit(), and provider configuration for OpenAI, Azure OpenAI, VertexAI, and Amazon Bedrock. Requires CYPHER 25. Replaces deprecated genai.vector.encode(). Use when writing pure-Cypher GraphRAG, embedding nodes in-graph, generating structured maps from prompts, or calling LLMs inside Cypher queries. Does NOT handle neo4j-graphrag Python library pipelines — use neo4j-graphrag-skill. Does NOT handle vector index creation/search — use neo4j-vector-index-skill.

Run coding tasks via opencode using free cloud models. Use when asked to offload work to opencode.ai or run a free model. Don't use for local models (Ollama, LM Studio), Claude/OpenAI calls, or when Claude should do the work itself.

Creates a pull request from current changes, monitors GitHub CI, and debugs any failures until CI passes. Activate when the user says "create pr", "make a pr", "open pull request", "submit pr", "pr for these changes", or wants to get their current work into a reviewable PR. Assumes the project uses git, is hosted on GitHub, and has GitHub Actions CI with automated checks (lint, build, tests, etc.). Does NOT merge - stops when CI passes and provides the PR link.

Shell script static analysis and linting. USE WHEN shellcheck, lint shell, bash lint, sh lint, script analysis, shell errors, SC codes, shell best practices. Comprehensive shell script validation with CI/CD integration.

Plan and execute a product launch/release with speed and safety. Produces a Shipping & Launch Pack (release brief, rollout/rollback plan, product quality list, comms + enablement, monitoring plan, post-launch review). Use for ship, launch, release, deploy, go live.

Initialize or repair SigNoz MCP server configuration for Claude Code, Codex, Cursor, VS Code/GitHub Copilot, Claude Desktop, Gemini CLI, Windsurf, Zed, Antigravity, OpenCode, or another MCP client. Use this skill before any SigNoz docs, query, dashboard, alert, or view workflow when `signoz:signoz_*` tools are unavailable, or when the user says "setup SigNoz MCP", "configure SigNoz plugin", "wrong region", "change SigNoz region", "MCP auth failed", or asks to connect SigNoz Cloud or a self-hosted MCP endpoint, even if they do not mention the plugin.

Build safe, syntax-aware srgn CLI commands for source-code search and transformation. Use for srgn commands, scoped refactors (comments/docstrings/imports/functions), multi-file rewrites with --glob, tree-sitter queries, or CI checks with --fail-any/--fail-none.

Operational traps for Terraform provisioners, multi-environment isolation, and zero-to-deployment reliability. Use when writing null_resource / remote-exec / local-exec / file provisioners, setting up fresh instances with cloud-init, or any IaC code that SSHs into remote hosts; when creating multi-environment Terraform setups (DNS record duplication, snapshot cross-contamination); or when debugging containers that are Restarting/unhealthy after terraform apply. Also when the user mentions terraform plan/apply errors, provisioner failures, infrastructure drift, TLS certificate errors, Cloudflare credential format, or Caddy/gateway / Caddyfile / compose configuration.

Use when installing, configuring, or operating Alibaba Cloud OSS from the command line with ossutil 2.0, based on the official ossutil overview.

Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. WHEN: create architecture diagram, visualize Azure resources, show resource relationships, generate Mermaid diagram, analyze resource group, diagram my resources, architecture visualization, resource topology, map Azure infrastructure.

Runs Buildkite CI builds against changes in the local working tree. Use when asked to run preflight or run CI.

Generate CI/CD pipeline configurations for GitHub Actions, GitLab CI, CircleCI, or Jenkins.

Polymorphic iterative repair loop — accept a verifier failure, structured findings (review/resolve/triage-issue), or a bug description; modify→verify→keep on green, auto-revert on guard regression, until clean or iteration cap. Use when the user says "fix", "make it pass", or "apply the findings", or hands an artifact + repo and expects patches; auto-routes to gh-fix-ci or gh-address-comments when an open PR + gh auth + GH-flavored input is detected.

This skill should be used when users need to interact with GitHub via the gh CLI. It covers repository management (create, delete, clone, fork), CI/CD workflows (GitHub Actions), Issues, Pull Requests, Releases, and other GitHub operations. Triggers on requests mentioning GitHub, repos, PRs, issues, actions, or workflows.

Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs.

Infrastructure patterns for Kubernetes, Terraform, Helm, Kustomize, and GitHub Actions. Use when making K8s architectural decisions, choosing between Helm vs Kustomize, structuring Terraform modules, writing CI/CD workflows, or applying security best practices.

Provides architecture guidance for multi-tenant SaaS platforms on Cloudflare or Vercel. Use when defining domain strategy, tenant identification, isolation, subdomain routing, custom domains, white-label setup, tenant separation, plan/limit mapping, building a multi-tenant application, or asking "how do I support multiple tenants" or "build a white-label platform".

Use when building NuxtHub v0.10.6 applications - provides database (Drizzle ORM with sqlite/postgresql/mysql), KV storage, blob storage, and cache APIs. Covers configuration, schema definition, migrations, multi-cloud deployment (Cloudflare, Vercel), and the new hub:db, hub:kv, hub:blob virtual module imports.

Automated testing patterns for Platxa platform using pytest, Vitest, and E2E frameworks. Run tests, generate fixtures, configure CI/CD pipelines.

Production-ready CI/CD configurations for Playwright — GitHub Actions, GitLab CI, CircleCI, Azure DevOps, Jenkins, Docker, parallel sharding, reporting, code coverage, and global setup/teardown.

Ship workflow - merge PR, deploy via CLAUDE.md, and verify production.

Post-completion self-review for coding agents that runs simplify, harden, and micro-documentation passes on non-trivial code changes. Use when: a coding task is complete in a general agent session and you want a bounded quality and security sweep before signaling done. For CI pipeline execution, use simplify-and-harden-ci.

Terraform infrastructure-as-code best practices for scalable and maintainable cloud infrastructure. Use when writing Terraform modules, managing infrastructure state, or implementing infrastructure automation at scale.

Meta-analysis / evidence synthesis — pool effect sizes across studies (odds ratios, risk ratios, hazard ratios, mean differences, correlations, GWAS betas) with fixed- or random-effects models, quantify heterogeneity (Q, I², τ²), and build a forest plot. Use when you have results from MULTIPLE studies and need a single pooled estimate, or to synthesize evidence from a systematic review / multiple GWAS / replicated experiments. Handles the error-prone effect-size + standard-error preparation (converting OR/HR/CI, two-group means±SD, proportions, and correlations into the (effect, SE) the pooling step needs).

Kraft CLI commands for building and deploying Unikraft unikernels. Use when working with Kraftfiles, deploying to Unikraft Cloud, or managing unikernel instances.

Deploy Docker services on VM with Traefik and Homepage. Use for VM container deploys.

Automate Android CI, versioning, signing boundaries, release channels, and Play-ready delivery workflows.

Automates npm release workflows using changesets. Creates a changeset (default patch), fixes lint/test/typecheck/format issues with an iterative compile-fix loop, commits and pushes, watches CI via the Monitor tool, finds and merges the Version Packages PR opened by changesets/action, and watches the release workflow to completion. Use when the user asks to ship, release, publish, autoship, cut a release for an npm package, fix compiler errors, fix type errors, make it compile, or fix the build.

Provides patterns to configure AWS RDS (Aurora, MySQL, PostgreSQL) with Spring Boot applications. Configures HikariCP connection pools, implements read/write splitting, sets up IAM database authentication, enables SSL connections, and integrates with AWS Secrets Manager. Use when setting up RDS connections in Spring Boot, configuring connection pooling, or managing database credentials securely.

Use this skill when reading or analyzing CI logs from a Shopware GitHub Actions workflow to figure out why a build failed — phrases like "why did CI fail", "what broke the build", "check the pipeline", "interpret these logs", "debug this red build" — or whenever raw run logs, job logs, or check annotations from a failed GitHub Actions workflow appear in the conversation. Covers PHPUnit, PHPStan, ECS, ESLint, TypeScript, Stylelint, Prettier, Jest, Playwright, ludtwig, and Lighthouse failures. Activate even if the user does not explicitly mention "CI" — any interaction with GitHub Actions failure output benefits from this skill's noise-filtering and tool-identification knowledge.