Comprehensive GitOps methodology and principles skill for cloud-native operations. Use when (1) Designing GitOps architecture for Kubernetes deployments, (2) Implementing — from…
Comprehensive GitOps methodology and principles skill for cloud-native operations. Use when (1) Designing GitOps architecture for Kubernetes deployments, (2) Implementing — from…
Detect drift between desired Git state and the live cluster, read cluster health, and propose a Git-side remediation as a ChangeProposal.
GitOps platform review — ArgoCD / Flux / Argo Rollouts. App-of-apps, sync policy, sealed-secrets, progressive delivery (canary/blue-green), drift, RBAC.
Monitor GitOps application health, sync status, and manage ArgoCD deployments via Harness MCP. Use when user says "gitops status", "argocd status", "application sync", "gitops…
Complete guide to implementing GitOps workflows with ArgoCD and Flux for automated Kubernetes deployments.
Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation.
GitOps workflows and patterns using ArgoCD and Flux for declarative Kubernetes deployments. Use when implementing CI/CD for Kubernetes, managing multi-environment deployments, or…
Use Encore's AI integration and built-in MCP server so an agent can inspect service architecture, query local resources, call APIs, and analyze traces while iterating on…
Expose sandbox creation, command execution, and file operations to MCP-capable agents so they can run untrusted code inside disposable Docker or Kubernetes-backed runtimes.
GKE infrastructure patterns including Autopilot configuration, HPA custom metrics, Kubernetes manifests, Redis cluster architecture, Docker multi-stage builds, network…
Expert guidance for Google Kubernetes Engine (GKE) operations including cluster management, workload deployment, scaling, monitoring, troubleshooting, and optimization.
Deploy optimized AI/ML inference workloads on GKE using Google's Inference Quickstart (GIQ). Covers model discovery, manifest generation, and deployment using native MCP tools and…
Guidance on implementing multi-tenancy and governance in Google Kubernetes Engine (GKE) clusters.
Semantic code analysis with GitLab Knowledge Graph. Use for go-to-definition, find-usages, impact analysis, architecture visualization.
GitLab CLI (glab) for merge requests, issues, and CI/CD pipelines. Use when working with GitLab repositories for MR creation/review, issue management, pipeline debugging, or any…
Use when writing or reviewing Gleam code on the Erlang target — especially Wisp + Mist HTTP services, OTP-based processes (gen_server / supervisor analogues), justfile workflows,…
GlitchTip is an open-source, Sentry-compatible error tracking platform built for self-hosted exception monitoring and alerting.
Implementation guide for Global Privacy Control (GPC) automated opt-out signal per CPRA Section 1798.135(e).
Runtime GLB/GLTF inspection — traverse nodes, identify screen meshes, inspect UV coordinates, material property dumping, fixing exported materials at runtime.
Expert Garry's Mod Lua (GLua) development with accurate GMod API signatures, client/server/menu realms, hooks, VGUI/derma panels, meta-table classes, enumerations and asset paths…
Gluegun CLI toolkit patterns for TypeScript-powered command-line apps. Use when building CLI tools, creating command structures, implementing template systems, filesystem…
Use when (1) building mobile app via EAS for distribution, (2) submitting to App Store or Google Play, (3) managing mobile release workflow.
Use when (1) deploying web application to Vercel staging or production, (2) monitoring deployment progress, (3) running post-deployment verification.
Use when (1) preparing a release for staging or production, (2) generating release notes and changelog, (3) verifying environment readiness before deployment.
GMailArchiver architecture, layer patterns, and component design. Use when working with cli, core, data, connectors, or shared layers, or understanding component dependencies.
gnomAD v4 population variant frequencies via GraphQL API. Allele counts and frequencies stratified by ancestry (AFR, AMR, EAS, NFE, SAS, FIN, ASJ, MID), gene-level constraint…
Opens the running app in a browser and verifies recent UI changes actually work. Use whenever the user wants a quick smoke test or sanity check of recent work, or says "go", "open…
REST and gRPC API design patterns for Go services. Covers HTTP handlers, middleware, routing, request/response patterns, versioning, pagination, graceful shutdown, and OpenAPI…
WHEN: Go API review with Gin/Echo/Fiber/Chi, router patterns, middleware, request handling WHAT: Router organization + Middleware patterns + Request validation + Error responses +…
Use when asked to measure, introduce, or improve Go project architecture quality. Applies modularity (coupling/cohesion) and testability (cognitive complexity, cyclomatic…
Designs implementation architecture following hexagonal patterns, produces TASKS.md and individual task-N.md files for the orchestrator to execute using red-green TDD.
Review Go project architecture: package structure, dependency direction, layering, separation of concerns, domain modeling, and module boundaries.
Go backend development best practices for microservices with clean architecture, observability, and production-ready patterns
Go benchmarking methodology knowledge — testing.B API, benchstat comparison, sub-benchmarks, profile capture (-cpuprofile/-memprofile/-trace), reading output, dead-code…
Bootstraps a new Go project from scratch with hexagonal architecture, testcontainers, CI pipeline, and the full skill/agent suite installed.
Go CI/CD 工具配置：Makefile、golangci-lint、GitHub Actions、Docker、測試覆蓋率、 自動化流程、Pre-commit Hook。
Go code generation and TDD assistant. Use when writing new Go logic or updating existing features to ensure idiomatic code and comprehensive unit testing.
Review Go code in this project against the standard quality bar — formatting, vet, idiomatic style, error handling, concurrency, and testing.
Comprehensive code review checklist for Go projects. Evaluates code quality, idiomatic patterns, error handling, naming, package structure, and test coverage.
Go coding standards and style conventions grounded in Effective Go, Go Code Review Comments, and production-proven idioms.
Développement Go avec focus sur la concurrence et les patterns idiomatiques. Se déclenche avec "Go", "Golang", "goroutine", "channel", "sync", "concurrency", "Go modules" — from…
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race — from…
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race — from…
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race — from…
Review and implement safe concurrency patterns in Go: goroutines, channels, sync primitives, context propagation, and goroutine lifecycle management.
Data persistence patterns in Go covering raw SQL with sqlx/pgx, ORMs like Ent and GORM, connection pooling, migrations with golang-migrate, and transaction management.
Debug Go failures by reproducing the bug as a focused test, tracing root cause, fixing minimally, and verifying with race-enabled tests.
Idiomatic Go design patterns: functional options, builder, factory, strategy, middleware chain, pub/sub, and other patterns adapted for Go's type system.
Instructions for writing Go code following idiomatic Go practices and community standards. Use this when writing or reviewing any code written in Go (Golang).
Go error handling patterns, wrapping, sentinel errors, custom error types, and the errors package. Grounded in Effective Go, Go Code Review Comments, and production-proven idioms.
Specialized knowledge for writing professional, idiomatic Go (Golang) code, specifically for the switchAILocal codebase (Gin, switchai, etc.).
Expertise in Go programming according to the Google Go Best Practices. Focuses on actionable advice for naming, error handling, performance, testing, and general idiomatic Go to…
gRPC Go knowledge — service/stream types, interceptors, status codes, deadline propagation, TLS/mTLS, bufconn testing, common pitfalls.
Idiomatic Go patterns for errors, interfaces, concurrency, and packages. Use when: - Writing or reviewing Go code - Designing interfaces or package structure - Implementing…
Provides reusable guidance for implementing and reviewing idiomatic Go code, with emphasis on clarity, simplicity, and maintainability across naming, error handling, control flow,…
Tests de integración en Go. Usar al testear múltiples componentes juntos o validar flujos end-to-end.
Go interface design patterns: implicit interfaces, consumer-side definition, interface compliance verification, composition, the accept-interfaces-return-structs principle, and…
Use when planning, sequencing, or executing the final cutover to production for a Salesforce implementation or major release.
Run local Go health checks (tests, coverage, lint) in Go repositories that contain go.mod/go.sum. Use when the user asks to run or interpret local Go test/coverage/lint workflows…