Comprehensive DevOps and deployment workflow that orchestrates infrastructure automation, CI/CD pipelines, container orchestration, and cloud deployment. Handles everything from infrastructure as code and pipeline setup to monitoring, scaling, and disaster recovery.
Senior DevOps Engineer with expertise in CI/CD automation, infrastructure as code, monitoring, and SRE practices. Proficient in cloud platforms, containerization, configuration management, and building scalable DevOps pipelines with focus on automation and operational excellence.
Expert in DevOps practices including CI/CD pipelines, infrastructure as code, monitoring, and deployment strategies. Use for GitHub Actions, GitLab CI, Terraform, and production deployment questions.
Coordinates infrastructure, CI/CD, and deployment tasks. Use when provisioning infrastructure, setting up pipelines, configuring monitoring, or managing deployments. Applies devops-standard.md with DORA metrics.
Gather DevOps context for infrastructure planning. Detects IaC tools, providers, and recommends skills. Use when /majestic:plan detects infrastructure work.
Expert DevSecOps engineer specializing in secure CI/CD pipelines, shift-left security, security automation, and compliance as code. Use when implementing security gates, container security, infrastructure scanning, secrets management, or building secure supply chains.
Toolkit para interagir e testar aplicações web locais usando Chrome DevTools MCP. Suporta verificação de funcionalidade frontend, debugging de UI, captura de screenshots, análise de performance, inspeção de network e visualização de logs do console.
This skill helps launch and configure the Chrome DevTools MCP server, giving Claude visual access to a live browser for debugging and automation. Use when the user asks to set up browser debugging, launch Chrome with DevTools, configure chrome-devtools-mcp, see what my app looks like, take screenshots of my web application, check the browser console, debug console errors, inspect network requests, analyse API responses, measure Core Web Vitals or page performance, run a Lighthouse audit, test button clicks or form submissions, automate browser interactions, fill out forms programmatically, simulate user actions, emulate mobile devices or slow networks, capture DOM snapshots, execute JavaScript in the browser, or troubleshoot Chrome DevTools MCP connection issues. Supports Windows, Linux, and WSL2 environments.
This skill should be used when handling domain cards and magical abilities in Daggerheart, including looking up domain card effects, understanding Recall costs, making Spellcast Rolls, selecting domain cards during character creation or advancement, or when players want to use domain-based abilities. Covers all 9 SRD domains (Arcana, Blade, Bone, Codex, Grace, Midnight, Sage, Splendor, Valor) and their associated cards.
Data-independent acquisition (DIA) proteomics analysis with DIA-NN and other tools. Use when analyzing DIA mass spectrometry data with library-free or library-based workflows for deep proteome profiling.
Use this skill when troubleshooting OpenStudio or EnergyPlus energy models that fail to simulate, have geometry errors (intersecting surfaces, non-planar surfaces, story organization issues), need HVAC validation against Engineer of Record specifications, require LEED Appendix G baseline generation, or need systematic diagnostics for complex commercial building models. Handles model triage, geometry rebuild decisions, EOR specification mapping, and quality assurance for LEED compliance.
Run comprehensive system diagnostics including dependency checks, test suite execution, git status, and pipeline health verification. Use when troubleshooting issues, verifying system readiness, or preparing for a release.
RAN fault detection and automated troubleshooting with cognitive consciousness, predictive failure analysis, and autonomous root cause identification. Use when diagnosing RAN faults, implementing predictive maintenance, automating troubleshooting workflows, or enabling self-healing RAN systems.
This skill generates comprehensive diagram and MicroSim reports for the geometry course by analyzing chapter markdown files and creating table and detail reports. Use this skill when working with an intelligent textbook (specifically geometry-course) that needs updated visualization of all diagrams and MicroSims across chapters, including their status, difficulty, Bloom's Taxonomy levels, and UI complexity.
Mermaid diagrams following C4 Model and SpecWeave conventions - system architecture, sequence, ER, deployment diagrams. Use for architecture visualization.
Differential abundance and state analysis for cytometry data. Compare cell populations between conditions using statistical methods. Use when testing for significant changes in cell frequencies or marker expression between groups.
Select and apply numerical differentiation schemes for PDE/ODE discretization. Use when choosing finite difference/volume/spectral schemes, building stencils, handling boundaries, estimating truncation error, or analyzing dispersion and dissipation.
You are an expert in digital twin modeling and supply chain simulation. Your goal is to help build virtual replicas of supply chain systems that enable testing, scenario analysis, optimization, and pr
DigitalOcean App Platform deployment using doctl CLI for containerized applications, web services, static sites, and databases. Includes app spec generation, deployment orchestration, environment management, domain configuration, and health monitoring. Use when deploying to App Platform, managing app specs, configuring databases, or when user mentions App Platform, app spec, managed deployment, or PaaS deployment.
Router skill for DiPeO code generation pipeline (TypeScript specs → IR → Python/GraphQL). Use when task mentions TypeScript models, IR builders, generated code diagnosis, or codegen workflow. For simple tasks, handle directly; for complex work, escalate to dipeo-codegen-pipeline agent.
Guide for using direnv - a shell extension for loading directory-specific environment variables. Use when setting up project environments, creating .envrc files, configuring per-project environment variables, integrating with Python/Node/Ruby/Go layouts, working with Nix flakes, or troubleshooting environment loading issues on macOS and Linux.
Break vague requirements into precise business rules (BR-*), constraints (C-*), and formulas (F-*) for code generation. Orchestrates extraction of BR-*, C-*, F-* from REQ-*. Use after requirement-extraction to enable autogeneration.
Use after solution concepts exist to surface and prioritize assumptions behind outcomes, opportunities, or solution ideas and design experiments to test them.
Conduct discovery interviews to gather requirements, clarify vague ideas, and create detailed specifications. Use when gathering requirements or clarifying vague ideas. Not for execution or simple partial updates.
Use when validating product assumptions before building, discovering unmet user needs, understanding customer problems and workflows, testing concepts or positioning, researching target markets, identifying jobs-to-be-done and hiring triggers, uncovering pain points and workarounds, or when users mention user research, customer interviews, surveys, discovery interviews, validation studies, or voice of customer.
Use when implementing features or adding functionality - dispatches incremental-tdd-agent that enforces ONE test at a time, preventing batch test writing that defeats incremental design discovery. Maintains discipline through entire feature implementation (10+ test cycles)
Use when encountering bugs, test failures, unexpected behavior, errors, or performance problems - dispatches systematic-debugging-agent that enforces 4-phase process (root cause investigation, pattern analysis, hypothesis testing, implementation) to prevent quick-fix attempts and ensure proper debugging
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.