How many design skills are there?

We list 56 AI agent skills related to design.

Design Skills

There are 56 AI agent skills in our directory.

AI agent skills related to design. We catalog 56 skills that mention design in their name or description.

Updated June 2026

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{{SKILL_PREFIX}}-design-uxux-designer（UXデザイン担当）としてUI/UX設計を実行する。
%USERPROFILE%.claudeskillsive-designer-ui-systemsSKILL
02_00_learn_design_skill
032-architecture-adr-functional-requirements-restFacilitates conversational discovery to create Architectural Decision Records (ADRs) for REST API development. Use when the user wants to document REST API architecture, capture functional requirements for APIs, create ADRs for REST/HTTP services, or design APIs with documented decisions. Part of the skills-for-java projectApache-2.0
05t-Terraform PlannerExpert Azure Terraform Infrastructure as Code planner that creates comprehensive, machine-readable implementation plans. Consults Microsoft documentation, evaluates AVM-TF modules via the Terraform Registry, and designs complete infrastructure solutions with architecture diagrams.
37signals-wayBuild lean, opinionated products using the 37signals philosophy from "Getting Real", "Rework", and "Shape Up". Use when the user mentions "Getting Real", "Rework", "Shape Up", "37signals", "Basecamp method", "six-week cycles", "fixed time variable scope", "appetite vs estimates", "betting table", "breadboarding", "fat marker sketch", "build less", "underdo the competition", "opinionated software", "we have too many meetings", "the project keeps growing", "how do we ship faster", or "stop overbuilding". Also trigger when cutting scope to ship sooner, fighting feature creep, running a small team, avoiding long-term roadmaps, or killing unnecessary meetings. Covers shaping, betting, building, and the art of saying no. For MVP validation, see lean-startup. For design sprints, see design-sprint.MIT
503-frameworks-micronaut-validationUse when you need to design, review, or improve validation in Micronaut applications — including Bean Validation on @Controller methods, @Body @Valid, query/path parameter validation, @ConfigurationProperties validation, custom constraints, nested DTO validation, and ExceptionHandler mapping for constraint violations. This should trigger for requests such as Add validation support in Micronaut; Review Micronaut validation rules; Improve request validation in Micronaut REST APIs; Add custom validation constraints in Micronaut; Validate Micronaut configuration properties. Part of cursor-rules-java projectApache-2.0
aads-architectDesign architecture and contract changes for AADS-ULoRA with explicit module boundaries, compatibility strategy, and testable acceptance criteria. Use for interface, config-schema, data-flow, and cross-module redesign decisions before implementation.
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.MIT
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.MIT
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.MIT
abstraction-concrete-examplesBuilds structured abstraction ladders that translate high-level principles into concrete, actionable examples across 3-5 levels. Bridges communication gaps, reveals hidden assumptions, and tests whether abstract ideas work in practice. Use when explaining concepts at different expertise levels, moving between abstract principles and concrete implementation, identifying edge cases by testing ideas against scenarios, designing layered documentation, decomposing complex problems into actionable steps, or bridging strategy-execution gaps.
academic-review-boardAI Academic Review Board — multi-agent peer review for research papers. Use when: user wants to review a paper/experiment design, run a peer review session, set up a review board for a research project, or evaluate research methodology. NOT for: code review, investment decisions, or simple proofreading.
accessibility-complianceImplement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.
accessibility-complianceImplement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.MIT
accessibility-compliance-accessibility-auditYou are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
accessibility-compliance-accessibility-auditYou are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
accessibility-compliance-accessibility-auditYou are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
accessibility-compliance-accessibility-auditYou are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
accessibility-designBuild accessibility into design decisions instead of treating it as late-stage options work.
accessibility-reviewUse to audit a design or page for WCAG 2.1 AA — contrast, keyboard, focus, labels, touch targets, screen reader behavior.
actStandard-tier development workflow. Orchestrates specialized agents (Groucho, Chico, Harpo, Zeppo, Gummo) through the implementation pipeline defined in CLAUDE.md. Use for multi-file features, new functionality, or any work requiring design, review, and testing gates.
adaptyvHow to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.MIT
add-uiGenerate 5 distinct, production-grade UI variations for a requested new or existing section, component, page, flow, or shell, then help the user preview and apply one. Use when the user asks to add or redesign UI like a hero, pricing, navbar, auth flow, dashboard shell, ecommerce surface, or data component.
adobe-xdProvides comprehensive guidance for Adobe XD including design creation, prototyping, components, and collaboration. Use when the user asks about Adobe XD, needs to create UI/UX designs, build prototypes, or work with Adobe XD components.licensed
adobe-xdProvides comprehensive guidance for Adobe XD including design creation, prototyping, components, and collaboration. Use when the user asks about Adobe XD, needs to create UI/UX designs, build prototypes, or work with Adobe XD components.licensed
adrCreate an Architecture Decision Record in docs/adr/. Use when the user says "create an ADR", "document this decision", "record this architecture decision", or when a design discussion leads to a conclusion that should be preserved. Also trigger when the user describes a significant technical trade-off or says "why did we choose X over Y" in a way that implies the decision should be documented.
adr-managementCreate and manage Architecture Decision Records (ADRs). Use when documenting technology choices, design decisions, or architectural changes that need to be tracked over time.
Advanced Clean Hexagonal ArchitectureApply Clean Architecture and Hexagonal (Ports & Adapters) patterns for domain isolation and testability. Use when designing system boundaries, creating ports/adapters, or structuring domain-driven applications.
Advanced Testability Ai ErgonomicDesign code for testability and AI/LLM ergonomics with explicit contracts and observable patterns. Use when optimizing code for AI tools, improving testability, or making codebases LLM-friendly.
advanced-ssr-cache-designEngineer SSR caching strategies that preserve correctness under concurrent updates and streaming.
advocacy-programsUse when designing and scaling reference, story, advisory, or community
advocacy-programsUse when designing and scaling reference, story, advisory, or community
af-bdd-expertiseUse when transforming requirements into Markdown scenario specifications, writing BDD scenarios, enforcing glossary compliance, or designing comprehensive test coverage. Covers scenario structure, test type classification, and acceptance criteria patterns.
agent-ai-engineerExpert AI engineer specializing in AI system design, model implementation, and production deployment. Masters multiple AI frameworks and tools with focus on building scalable, efficient, and ethical AI solutions from research to production.
agent-assistant-design-fast⚡ Quick Design — Rapid component/UI design. Use when user types /design:fast.
agent-business-analystExpert business analyst specializing in requirements gathering, process improvement, and data-driven decision making. Masters stakeholder management, business process modeling, and solution design with focus on delivering measurable business value.
agent-code-reviewerExpert code reviewer specializing in code quality, security vulnerabilities, and best practices across multiple languages. Masters static analysis, design patterns, and performance optimization with focus on maintainability and technical debt reduction.
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).MIT
agent-harness-constructionDesign and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
agent-managementUse PROACTIVELY this agent when you need to design and create optimal Claude Code subagents, update existing agents with new capabilities, revise agent configurations, analyze project requirements to identify specialized roles, or craft precise agent configurations with appropriate tool permissions and model tiers. When the user specify "Create or Update subagent [name]", this skill must be triggered.
agent-prompt-engineerExpert prompt engineer specializing in designing, optimizing, and managing prompts for large language models. Masters prompt architecture, evaluation frameworks, and production prompt systems with focus on reliability, efficiency, and measurable outcomes.
agent-skill-linterLint a codebase on code quality, best practices, design principles, build and test status, per-test speed (slow at or above 5s), cyclomatic complexity, and expressive naming, then render the results as a modern web report. Use when the user runs /lint or /lint-site, or asks to lint, score, or audit the quality of a project.
agent-specSpecify an autonomous or tool-using AI agent before building it. Use when asked to design an AI agent, define an agent's tools and guardrails, scope what an agent is allowed to do, or write an agent spec/PRD. Produces an agent spec — goal & scope, tools with permissions, the control loop, guardrails & approval gates, memory, escalation/handoff, evaluation, and failure handling.
agent-team-designUse when designing a new multi-agent team, visible agents folder, role boundaries, handoff flow, PM Soul, Memory Curator, Policy Gate, or evaluation role. Use for agent-team repo creation even when the user only says they want a meta-agent or agent operating system.
agent-tool-builderTools are how AI agents interact with the world. A well-designed
agent-tool-builderTools are how AI agents interact with the world. A well-designed
agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.MIT
agentic-workflowsRoute gh-aw workflow design/create/debug/upgrade requests to the right prompts.
agents-meet-rlTroubleshooter for agentic-RL training, evaluation, and experiment design on LLM agents (single or multi-agent, multi-turn, tool-augmented). Routes a user's symptom to fixes anchored in the corpus. TRIGGER when: user is training, evaluating, or designing experiments for an RL-trained LLM agent; symptoms like reward not moving, eval flat, KL/entropy/length blow-ups, retokenization drift, tool-call parse failures, credit assignment, async-rollout staleness, judge inconsistency, benchmark contamination, pass@k vs pass@1; choices about ablation, baseline, framework, algorithm, reward, or data curation; user names GRPO, PPO, DAPO, veRL, OpenRLHF, slime, AReaL, RAGEN, or similar. SKIP: generic supervised LLM fine-tuning with no RL component; classical RL theory or tabular RL; non-LLM agents. Distilled from the AgentsMeetRL awesome list, snapshot 2026-06-20.

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