Blockchain

Responsive layout patterns using Aksel spacing tokens with Box, VStack, HStack, and HGrid

Provides intelligent project setup and management with agent-based architecture to minimize token usage. Auto-activates when user mentions project setup, "add project", "configure project", "monorepo", "subdirectories", "switch project", or "project info". Uses three specialized agents internally: project-detector (detect active), project-config-loader (load settings with validation), project-context-manager (manage active project). Guides through four workflows: Add New Project (setup + templates), Configure Monorepo (pattern matching + subdirectories), Switch Between Projects (auto or manual), View Project Information. Provides templates for common architectures (fullstack-with-jira, fullstack-linear-only, mobile-app, monorepo). Validates configuration and suggests fixes for errors. Handles context-aware error handling with specific fix suggestions.

UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.

UI/UX design workflow guidelines. Activate when working with design systems, accessibility (WCAG), user interface patterns, or design tokens.

Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.

Service-to-service authentication using TokenX token exchange in Nais

Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.

Converts loosely typed Bicep parameters using object or array to strongly typed alternatives like string[], user-defined types, or resource-derived types. Use when user mentions type safety, weak typing, object parameters, array parameters, resourceInput, resourceOutput, or asks to improve parameter definitions.

LLM streaming response patterns. Use when implementing real-time token streaming, Server-Sent Events for AI responses, or streaming with tool calls.

Create custom node definitions with renderers, ports, external data, and constraints. Use when implementing new node types, custom node appearances, or node-specific behaviors.

Automated security scanning for Vigil Guard v2.0.0. Use for OWASP Top 10 checks, TruffleHog secret detection, npm/pip vulnerability scanning, 3-branch service security, heuristics-service audit, and CI/CD security pipelines.

Qualifies and tiers accounts based on signals, fit, and potential. Use this skill when building target lists, prioritizing accounts, identifying high-potential prospects, or defining ideal customer profile criteria.

Use this skill when defining work, specifying requirements, or planning features. It helps turn messy ideas into detailed specifications and AI-ready tasks. This skill teaches how to plan using BrainGrid CLI commands for spec-driven development, including creating requirements, breaking them into tasks, and tracking work progress. Apply this skill when users mention requirements, specifications, task breakdowns, or when they have vague project ideas that need structuring.

Tailwind CSS v4 with CSS-first configuration and design tokens. Use when setting up Tailwind v4, defining theme variables, using OKLCH colors, or configuring dark mode. Triggers on @theme, @tailwindcss/vite, oklch, CSS variables, --color-, tailwind v4.

Converts raw Bicep resource definitions to Azure Verified Modules (AVM). Use when user asks to convert to AVM, replace resources with modules, use verified modules, or modernize bicep templates.

Guides intelligent planning strategies with automatic phase detection and complexity assessment. Auto-activates when users mention epic breakdown, feature decomposition, scope estimation, dependency analysis, risk identification, or ask "how do I plan this complex task", "break down this feature", "what's the scope", "estimate effort", "identify dependencies", or "planning strategy". Provides interactive planning mode with 6 planning phases (complexity assessment, scope definition, dependency analysis, risk identification, task breakdown, effort estimation). Works with sequential-thinking for complex decomposition, docs-seeker for research, pm-workflow-guide for command suggestions, and linear-subagent-guide for Linear integration.

Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or creating multi-agent systems with LangGraph.

Write Architectural Decision Records following MADR template. Applies Definition of Done criteria, marks gaps for later completion. Use when generating ADR documents from extracted decisions.

This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", "SlashCommand tool", "programmatic command invocation", "disable-model-invocation", "prevent Claude from running command", "debug command", "command debugging", "troubleshoot command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, programmatic invocation control, debugging commands, or command development best practices for Claude Code.

Optimize Claude Code skills for token efficiency using progressive disclosure and content loading order. Use when optimizing skills, reducing token usage, restructuring skill content, improving skill performance, analyzing skill size, applying 500-line rule, implementing progressive disclosure, organizing reference files, optimizing YAML frontmatter, reducing context consumption, improving skill architecture, analyzing token costs, splitting large skills, or working with skill content loading. Covers Level 1 (metadata), Level 2 (instructions), Level 3 (resources) loading optimization.