Generate GitLab CI/CD pipeline configuration files.

Design and implement GitLab CI/CD pipelines with stages, jobs, artifacts, and caching. Configure runners, Docker integration, and deployment strategies.

Perform comprehensive code reviews of GitLab merge requests, providing actionable feedback on code quality, security, performance, and best practices.

The model must apply when tasks involve .gitlab-ci.yml configuration, GitLab Flavored Markdown (GLFM) syntax, gitlab-ci-local testing, CI/CD pipeline optimization, GitLab CI Steps composition, Docker-in-Docker workflows, or GitLab documentation creation. Triggers include modifying pipelines, writing GitLab README/Wiki content, debugging CI jobs locally, implementing caching strategies, or configuring release workflows.

Comprehensive GitOps compliance verification that detects configuration drift and policy violations through three audit types - (1) Cluster Drift (resources in cluster not tracked in git), (2) Spec Drift (differences between git manifests and cluster state), (3) Code Violations (hardcoded Kubernetes configs in application code). Automatically triggered when code review detects changes to *.yaml/*.yml in charts/, manifests/, k8s/, kubernetes/, deployment scripts, Helm charts, Kustomize files, or Kubernetes client library imports. Use manually for investigating cluster drift, auditing GitOps compliance, before production deployments, troubleshooting sync issues, or regular compliance checks.

ArgoCD ApplicationSets, progressive delivery, Harness GitX, and multi-cluster GitOps patterns

Plan and deliver persuasive, confident presentations and produce a Presentation Pack (brief, narrative, slide outline, Q&A bank, pre-brief plan, rehearsal plan, delivery checklist). Use for presentation, deck, keynote, all-hands, exec review, demo talk track. Category: Communication.

Build, run, test, and debug GrooveTech apps (Orchestrator, Pfizer, GMP, Media Server). Use gj commands - never construct xcodebuild commands manually.

Expert guidance for Google Kubernetes Engine (GKE) operations including cluster management, workload deployment, scaling, monitoring, troubleshooting, and optimization. Use when working with GKE clusters, Kubernetes deployments on GCP, container orchestration, or when users need help with kubectl commands, GKE networking, autoscaling, workload identity, or GKE-specific features like Autopilot, Binary Authorization, or Config Sync.

Use when gleam-Erlang interoperability including calling Erlang code from Gleam, using Erlang libraries, external functions, working with Erlang types, NIFs, and leveraging the BEAM ecosystem from Gleam applications.

Develop with Gleam using idiomatic patterns, TDD, and type-driven design. Activate when working with .gleam files, gleam.toml, or user mentions Gleam, BEAM, or Erlang.

Searches Canva's Glean knowledge base for internal documentation, policies, how-tos, Slack threads, and company information. Use when asked about Canva processes, internal docs, Slack conversations, or company knowledge.

This skill provides specialized knowledge for integrating and using GLM-4.7 Coding Plan API (智谱编程套餐). Use this skill when working with GLM-4.7 for prompt optimization, code generation, or technical documentation tasks. GLM-4.7 uses a unique response format with reasoning_content field and requires special endpoint handling.

Your approach to handling global documentation. Use this skill when working on files where global documentation comes into play.

Project-wide coding standards and conventions specialist. Use PROACTIVELY

Reference and maintain the project's technical stack including frameworks, languages, databases, testing tools, and third-party services to ensure consistency across the project. Use this skill when making technology choices, adding new dependencies, configuring frameworks, or ensuring consistency with existing stack decisions. When setting up new features that need to align with the project's chosen technologies. When documenting or updating the tech stack. This skill applies when working with any technology-specific configuration, framework setup, or when making architectural decisions about tools and libraries.

Practice radical candor by delivering only verified, tested code with data-backed decisions, immediate problem flagging, and honest status communication. Use this skill when making claims about code behavior, reporting system status, identifying risks, documenting missing coverage, or challenging assumptions. Applies to all development activities requiring factual accuracy, evidence-based assertions, gap ownership, and closing the loop on delivered work through validation and independent review.

Builds product and industry glossaries with SEO-optimized definitions. Use when the user asks about glossary creation, term definitions, jargon explanations, knowledge bases, or terminology documentation.

This skill automatically generates a comprehensive glossary of terms from a learning graph's concept list, ensuring each definition follows ISO 11179 metadata registry standards (precise, concise, distinct, non-circular, and free of business rules). Use this skill when creating a glossary for an intelligent textbook after the learning graph concept list has been finalized.

How to add entries to the glossary

Optimize and post-process GLB/glTF 3D models. Use when compressing models for web delivery, reducing file size, simplifying geometry, inspecting model stats, merging models, or converting textures. Triggers on: optimize GLB, compress model, reduce file size, simplify mesh, draco compression, meshopt, webp textures, inspect model, merge GLB, model optimization.

Gluegun CLI toolkit patterns for TypeScript-powered command-line apps. Use when building CLI tools, creating command structures, implementing template systems, filesystem operations, HTTP utilities, prompts, or plugin architectures with Gluegun.

Use when (1) breaking down a feature request into implementable tasks, (2) creating a detailed feature specification, (3) preparing work for development. Generates feature plans with acceptance criteria and task breakdown.

Use when (1) creating GitHub issues from feature plans or bug reports, (2) documenting bugs found during development, (3) managing the project backlog. Creates well-structured GitHub issues with templates and labels.

Use when (1) reviewing a pull request against coding standards, (2) verifying PR meets acceptance criteria from feature plan, (3) checking for common issues before merge. Reviews PRs against plan and project standards.

Use when (1) PROJECT_MANIFEST.json and INITIAL_PLAN.md exist, (2) ready to execute setup.sh to initialize the project, (3) renaming template to project name. Wraps setup.sh with preflight checks and validation.

Use when (1) starting a new project from the gmacko template, (2) user wants to create a fresh app without git history, (3) gathering requirements for PROJECT_MANIFEST.json. Conducts a guided interview to capture project goals, platforms, integrations, data model, and deployment preferences.

Use when (1) PROJECT_MANIFEST.json exists and you need to generate INITIAL_PLAN.md, (2) user wants a detailed implementation roadmap, (3) translating manifest into actionable milestones. Generates comprehensive project plan from the manifest.

Use when (1) verifying a feature is complete against acceptance criteria, (2) running QA checklist before release, (3) validating PR changes meet requirements. Performs systematic QA verification with documented results.

Use when (1) building mobile app via EAS for distribution, (2) submitting to App Store or Google Play, (3) managing mobile release workflow. Handles Expo EAS build and submission process.

Use when (1) preparing a release for staging or production, (2) generating release notes and changelog, (3) verifying environment readiness before deployment. Prepares all artifacts needed for a release.

Specialized AI agent for finite element mesh generation and manipulation

Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs RAG/semantic search, or wants to start a local web UI for their docs.

GNS3 network lab operations including topology management, device configuration via console, and troubleshooting workflows for routers and switches

Build production-grade REST API endpoints for the AgentStack platform using Go with Fiber or Chi frameworks, following the specifications in `/spec/004-api-design.md`.

go-api-reviewer

Build Go-based command-line tools following established patterns with Cobra CLI framework, Viper configuration, SQLite database, and automated GitHub Actions workflows for releases. Use when creating new Go CLI projects or adding features to existing ones that follow the Cobra/Viper/SQLite stack.

Auto-review Go code for 100+ common mistakes when analyzing .go files, discussing Go patterns, or reviewing PRs with Go code. Checks error handling, concurrency, interfaces, performance, testing, and stdlib usage.

Skills for querying Gene Ontology annotation databases in DuckDB format. Use this for queries about GO annotations, genes, terms, evidence codes, or taxonomic relationships in GO-DB databases (db/*.ddb files). Particularly useful for hierarchical queries using closure tables to find genes annotated to terms and their descendants.

This skill should be used when writing, refactoring, or testing Go code. It provides idiomatic Go development patterns, TDD-based workflows, project structure conventions, and testing best practices using testify/require and mockery. Activate this skill when creating new Go features, services, packages, tests, or when setting up new Go projects.

'Instructions for writing Go code following idiomatic Go practices and community standards. Use this when writing or reviewing any code written in Go (Golang).'

Production-grade Go development patterns for building resilient services. Use when developing Go applications, implementing job schedulers, Docker integrations, LDAP clients, or needing patterns for resilience, testing, and performance optimization. By Netresearch.

This skill should be used when drafting or reviewing Go doc comments so they align with the official Go documentation style and pkgsite rendering rules.

Comprehensive Go engineering guidelines for writing production-quality Go code. This skill should be used when writing Go code, performing Go code reviews, working with Go tools (gopls, golangci-lint, gofmt), or answering questions about Go best practices and patterns. Applies to all Go programming tasks including implementation, refactoring, testing, and debugging.

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 ensure high-quality, maintainable, and efficient codebases.

Expertise in Go programming decisions according to the Google Go Style Guide. Focuses on specific choices for naming, error handling, and language usage.

You are an expert Go developer committed to the Google Go Style Guide. Your goal is to produce code that is readable, maintainable, and idiomatic.

Go 包导入规范检查与修复工具。基于 Claude 智能分析的 Go 项目导入规范检查工具，全面扫描和分析项目代码，识别真正的规范问题，提供准确的分析报告和修复建议。

Write clean, maintainable Go code following Clean Architecture, dependency injection, and ChecklistApplication patterns. Use when writing new Go code, refactoring, or implementing features.

Production-ready Go microservices patterns including Gin, Echo, gRPC, clean architecture, dependency injection, error handling, middleware, testing, Docker containerization, Kubernetes deployment, distributed tracing, observability with Prometheus, high-performance APIs, concurrent processing, database integration with GORM, Redis caching, message queues, and cloud-native best practices.