10 Best Claude Code Skills to Install in 2026

Claude Code skills have become the fastest way to extend what your AI coding agent can do. Instead of writing custom prompts or stitching together scripts, you drop a SKILL.md file into .claude/skills/ and Claude Code gains an entirely new capability: SEO audits, browser automation, video generation, diagram creation, and more.

The skills ecosystem has exploded in 2026. Thousands of skills are floating around GitHub, the Anthropic marketplace, and community repositories. The problem is separating production-grade skills from weekend experiments. We tested dozens of Claude Code skills across real projects and ranked the 10 that consistently deliver the most value.

Best Claude Code skills: a brief overview

If you want to level up your development workflow:

• Install superpowers for strict TDD enforcement and a structured 7-phase dev methodology
• Add skill-creator so you can build and package your own skills following best practices

If you do frontend or design work:

• Start with ui-ux-pro-max for AI-powered design system generation with 161 palettes and 57 font pairings
• Use artifacts-builder for rapid prototyping with React, Tailwind, and shadcn/ui

If you need SEO, research, or content capabilities:

• Install claude-seo for full-stack SEO audits with live data from DataForSEO
• Add notebooklm for source-grounded research answers with citation tracking

If you work with automation and external tools:

• Use agent-browser for headless browser automation directly from Claude Code
• Add mcp-client to connect Claude Code to any MCP server without custom configuration

1. Superpowers: best overall for development methodology

Superpowers is a development methodology encoded as a skills framework. It transforms Claude Code from a reactive code generator into something that behaves like a senior developer who follows test-driven development, breaks work into atomic tasks, and thinks before writing code.

With over 94,000 GitHub stars and acceptance into the official Anthropic marketplace, it is the most popular Claude Code skill by a wide margin. The framework enforces a strict 7-phase workflow: Brainstorm, Spec, Plan, TDD, Subagent Development, Review, Finalize. The key differentiator is that Superpowers literally deletes code written before tests exist. TDD is not optional here.

Key features

• 7-phase agentic workflow with mandatory TDD enforcement at every stage
• 20+ battle-tested skills including debugging, collaboration, and project planning
• Slash commands like /brainstorm, /write-plan, /execute-plan, and /skills-search
• YAGNI and DRY principles baked into every skill decision
• Socratic brainstorming phase that forces requirement clarity before any code is written
• Subagent orchestration that breaks complex tasks into parallel, independent work units

Best for

• Engineering teams that want consistent, enforceable development practices across all Claude Code usage
• Solo developers who want the discipline of a senior code reviewer built into their workflow
• Projects where test coverage and code quality are non-negotiable

Pros

• The most mature and battle-tested Claude Code skill available, backed by a massive community
• Forces a structured workflow that prevents the "just write code and hope it works" pattern
• Excellent documentation and active development with frequent updates

Cons

• The strict TDD enforcement can feel heavy for quick prototyping or throwaway scripts
• Learning curve for teams not already familiar with test-driven development

2. UI UX Pro Max: best for frontend and UI work

UI UX Pro Max is a design intelligence engine that gives Claude Code deep knowledge about styles, color theory, typography, and UX best practices. Rather than relying on Claude's general knowledge to make design decisions, this skill loads a reasoning engine with 50+ styles, 161 color palettes, 57 font pairings, 99 UX guidelines, and 25 chart types across 10 technology stacks.

The v2.0 release introduced a Design System Generator that analyzes your project requirements and produces a complete, tailored design system. This is not just a collection of Tailwind presets. It is an AI-powered reasoning layer that makes informed design choices based on your project context, target audience, and brand requirements.

Key features

• 161 curated color palettes with accessibility-checked contrast ratios
• 57 professional font pairings organized by style and mood
• 99 UX guidelines covering layout, navigation, forms, and interaction patterns
• Design System Generator that creates project-specific systems from requirements
• Support for 10 technology stacks including React, Vue, Svelte, and native platforms
• 25 chart and data visualization types with recommended use cases

Best for

• Frontend developers who want consistent, professional design decisions without a dedicated designer
• Teams building AI-powered applications that need polished interfaces quickly
• Solo builders who need to ship good-looking products without deep design expertise

Pros

• The most comprehensive design knowledge base available as a Claude Code skill
• Actually reasons about design choices rather than applying random styles
• Covers the full stack from color theory to component-level UX patterns

Cons

• Large skill footprint that adds significant context to every design-related prompt
• Some palettes and font pairings work better for web than native mobile applications

3. Claude SEO: best for SEO audits and optimization

Claude SEO is a full-stack SEO analysis and optimization skill that brings 13 sub-skills and 7 specialized subagents into Claude Code. It covers technical SEO, E-E-A-T analysis, schema markup generation, GEO/AEO optimization, and strategic planning. The DataForSEO MCP extension connects it to live search data, turning Claude Code into a complete SEO workstation.

What sets claude-seo apart from other SEO tools is its extensions system. The DataForSEO integration includes a custom field-config.json that reduces API response sizes by roughly 75%, keeping only SEO-relevant fields. This saves tokens and speeds up analysis significantly compared to raw API calls.

Key features

• 13 sub-skills covering technical audits, content optimization, schema generation, and competitive analysis
• 7 specialized subagents that can run parallel SEO tasks
• DataForSEO MCP extension for live SERP data, keyword metrics, and backlink analysis
• E-E-A-T scoring and recommendations aligned with Google's quality guidelines
• GEO and AEO optimization for AI search engine visibility
• Custom field filtering that reduces API response tokens by 75%

Best for

• Developers who manage SEO alongside code and want everything in one terminal
• Content teams that need technical SEO audits without switching to expensive SaaS tools
• Agencies running SEO workflows as part of broader AI agent development projects

Pros

• The most complete SEO skill available, covering technical, content, and strategic SEO
• DataForSEO integration gives you real data instead of AI guesses about search metrics
• Extensions system makes it easy to add new data sources

Cons

• DataForSEO requires a paid API key for live data features
• The sheer number of sub-skills can be overwhelming for simple SEO checks

4. Agent Browser: best for web scraping and testing

Agent Browser is a headless browser automation CLI built by Vercel Labs specifically for AI agents. It uses a fast native Rust CLI paired with a Node.js daemon, giving Claude Code the ability to navigate web pages, interact with elements, capture screenshots, and extract data, all from the terminal.

The skill uses a snapshot-ref interaction pattern where elements on the page are assigned reference numbers. Claude Code uses these refs instead of fragile CSS selectors, which reduces context consumption by roughly 93% compared to full DOM approaches. Sessions persist across commands, so you can build multi-step browser workflows that maintain state.

Key features

• Native Rust CLI for fast, low-overhead browser automation
• Snapshot-ref element selection that cuts context usage by 93% compared to CSS selectors
• Persistent sessions that maintain state across multiple browser commands
• Screenshot capture for visual verification of page state
• File upload and form interaction support
• Timeout handling and error recovery built into the skill workflow

Best for

• Developers who need to scrape or interact with web pages as part of automated workflows
• QA engineers who want Claude Code to run browser-based acceptance tests
• Teams building AI agents that need web browsing capabilities

Pros

• Vercel Labs backing means solid engineering and active maintenance
• The ref-based interaction model is significantly more reliable than CSS selector approaches
• Native Rust performance keeps browser operations fast

Cons

• Requires Node.js daemon running alongside the Rust CLI, adding setup complexity
• Limited to headless Chromium, so some sites with advanced bot detection may block it

5. Skill Creator: best for building your own skills

Skill Creator is the meta-skill that enables you to build, validate, and package your own Claude Code skills. Maintained in Anthropic's official skills repository, it walks you through an interactive Q&A workflow to define your skill's purpose, triggers, instructions, and bundled resources.

This is arguably the most important skill in the ecosystem because it multiplies the value of every other skill. Once you understand how to create well-structured skills, you can encode any specialized workflow, domain knowledge, or automation pattern into a reusable package that your entire team can install.

Key features

• Interactive Q&A workflow that guides you through skill creation step by step
• Generates properly structured SKILL.md files with correct YAML frontmatter
• Validates skill metadata, trigger conditions, and instruction formatting
• Supports bundling scripts, reference files, and assets alongside the skill
• Follows Anthropic's official skill authoring best practices
• Produces skills compatible with Claude Code, Codex, Gemini CLI, and other agents

Best for

• Developers who want to encode team-specific workflows into reusable skills
• Teams building internal skill libraries for their organization
• Anyone who wants to contribute skills back to the open-source community

Pros

• Backed by Anthropic's official repository, so it follows the canonical skill format
• The interactive workflow prevents common mistakes in skill structure and metadata
• Skills you create are portable across multiple AI coding agents

Cons

• The generated skill is a starting point that usually needs manual refinement for complex workflows
• No built-in testing framework for validating that your skill works as intended

6. Excalidraw Diagram: best for documentation and diagrams

Excalidraw Diagram gives Claude Code the ability to generate Excalidraw diagrams from natural language descriptions. Architecture diagrams, flowcharts, sequence diagrams, entity relationship diagrams, and system overviews can all be created directly in the terminal and exported as .excalidraw files that open in any Excalidraw editor.

The standout feature is the visual verification loop. A Playwright-based render pipeline lets Claude Code see its own output, catch layout issues like overlapping text or misaligned arrows, and fix them before delivering the final diagram. The design philosophy is "diagrams that argue, not display," meaning every shape and grouping mirrors the concept it represents rather than just looking decorative.

Key features

• Generates architecture, flow, sequence, ER, and system diagrams from text descriptions
• Playwright-based visual verification loop catches layout issues automatically
• Brand styling support for consistent colors, fonts, and visual identity
• Exports to .excalidraw format compatible with the Excalidraw editor ecosystem
• Iterative refinement where Claude Code reviews and corrects its own diagram output
• Supports both simple quick diagrams and complex multi-layer architecture views

Best for

• Developers who need to document system architecture without switching to a visual tool
• Teams that want auto-generated diagrams that stay in sync with code changes
• Technical writers who need professional diagrams embedded in documentation

Pros

• The self-review loop produces significantly better diagrams than one-shot generation
• Brand styling keeps diagrams consistent across a project or organization
• Excalidraw format is widely supported and easy to edit manually

Cons

• Requires Playwright installation for the visual verification feature
• Complex diagrams with many interconnected components can still need manual adjustment

7. Remotion: best for video generation

The Remotion skill provides Claude Code with best-practice rules for creating video compositions using the Remotion framework. It covers timing, transitions, rendering configuration, and export settings so Claude Code can generate professional motion graphics and animated explainers without you needing to memorize Remotion's API surface.

This skill is particularly valuable because video generation with code is notoriously detail-sensitive. Frame timing, easing curves, and composition ordering all need to be precise. The skill encodes these patterns so Claude Code produces correct Remotion code on the first attempt rather than requiring multiple rounds of debugging.

Key features

• Best-practice rules for Remotion composition structure and timing
• Smooth transition patterns with proper easing curve selection
• Rendering configuration optimized for common output formats (MP4, WebM, GIF)
• Clean export pipeline with correct codec and quality settings
• Component-based video architecture following Remotion conventions
• Audio synchronization patterns for narrated or music-backed content

Best for

• Developers creating programmatic video content like product demos, explainers, or social clips
• Marketing teams that need to generate video assets without dedicated video editors
• Anyone building automated video pipelines as part of a content workflow

Pros

• Eliminates the steep learning curve of Remotion's API for common use cases
• Produces correctly timed, export-ready compositions without manual frame counting
• Pairs well with other skills like excalidraw-diagram for animated technical content

Cons

• Limited to Remotion-based video generation, not general video editing
• Requires a working Remotion project setup with Node.js and ffmpeg dependencies

8. Artifacts Builder: best for prototyping

The Artifacts Builder skill enables Claude Code to create complex, multi-component HTML artifacts using React, Tailwind CSS, and shadcn/ui. Think of it as bringing Claude.ai's artifact panel into the terminal, but with the ability to build much more sophisticated interfaces that use real component libraries and styling frameworks.

This is ideal for rapid prototyping. Instead of scaffolding a full Next.js project to test a UI idea, you can describe what you want and get a working HTML artifact in seconds. The artifacts are self-contained, so you can open them in a browser, share them with stakeholders, or use them as reference implementations for production code.

Key features

• Generates self-contained HTML artifacts with embedded React and Tailwind CSS
• Full shadcn/ui component library support for professional-looking interfaces
• Multi-component compositions with proper state management
• Interactive elements including forms, modals, tabs, and data tables
• Responsive layouts that work across desktop and mobile viewports
• Export-ready artifacts that open directly in any browser

Best for

• Developers who need to prototype UI ideas quickly before committing to a full implementation
• Teams that want to share interactive mockups with stakeholders without deploying anything
• Anyone who builds interfaces and wants to test component compositions rapidly

Pros

• Dramatically faster than scaffolding a project for every UI experiment
• Uses real component libraries so prototypes translate directly to production code
• Self-contained output makes sharing and reviewing trivial

Cons

• Artifacts are single-file HTML, so complex state management and routing are limited
• Not a substitute for proper component development in a real project structure

9. MCP Client: best for MCP integration

The MCP Client skill turns Claude Code into a universal connector for any MCP (Model Context Protocol) server. Instead of configuring each MCP server individually in your Claude Code settings, this skill provides a standardized interface for discovering, connecting to, and interacting with MCP servers on the fly.

MCP has become the standard protocol for connecting AI agents to external tools and data sources. The MCP Client skill removes the friction of setting up each connection manually. Point it at an MCP server URL or local process, and Claude Code can immediately use whatever tools and resources that server exposes.

Key features

• Connects to any MCP server using stdio, SSE, or HTTP transport
• Automatic tool discovery that exposes available server capabilities to Claude Code
• Session management for persistent connections across multiple interactions
• Support for both local MCP servers and remote hosted endpoints
• Error handling and retry logic for unreliable connections
• Compatible with the full MCP specification including resources, tools, and prompts

Best for

• Developers who work with multiple MCP servers and want a single, consistent interface
• Teams building custom MCP servers who need a quick way to test their implementations
• Anyone who wants to connect Claude Code to new data sources without editing configuration files

Pros

• Eliminates per-server configuration overhead for MCP connections
• Works with the full range of MCP transport types
• Useful for both production workflows and MCP server development

Cons

• Adds an abstraction layer that can make debugging MCP connection issues more difficult
• Some MCP servers require authentication setup that still needs manual configuration

If your team needs integrations that go beyond what a single MCP skill can handle, a custom workflow automation service can stitch together multiple tools, APIs, and data sources into a production-grade pipeline.

10. NotebookLM: best for research

The NotebookLM skill bridges Claude Code with Google NotebookLM, giving you source-grounded answers backed by citations from your uploaded documents. Instead of relying on Claude's training data for research questions, you can point it at your NotebookLM notebooks and get answers that are anchored to specific sources with zero hallucination risk.

This is particularly powerful for documentation-heavy projects. Upload your specs, design docs, API references, and research papers to NotebookLM, then query them directly from Claude Code. Every answer comes with citations pointing to the exact source material. The MCP server handles persistent authentication and library management, so you set it up once and it works across sessions.

Key features

• Source-grounded answers from Google NotebookLM with citation tracking
• Persistent authentication that works across Claude Code sessions
• Library management for organizing multiple NotebookLM notebooks
• Cross-client sharing so multiple team members can access the same research
• Citation-backed responses that link to specific passages in source documents
• Integration with Gemini for high-quality document analysis

Best for

• Developers working on projects with extensive documentation who need quick, accurate lookups
• Research-heavy workflows where every claim needs to be traceable to a source
• Teams that want to share a knowledge base accessible from everyone's Claude Code instance

Pros

• Eliminates hallucination risk by grounding every answer in uploaded source material
• Persistent auth and library management make it genuinely usable for daily workflows
• Citation tracking provides accountability that pure LLM answers cannot match

Cons

• Requires a Google NotebookLM account and manual document uploading
• Quality of answers depends entirely on the quality and coverage of your uploaded sources

For teams building knowledge-grounded AI systems that need to go beyond NotebookLM's capabilities, a dedicated RAG pipeline architecture gives you full control over retrieval, chunking, and embedding strategies tailored to your data.

How to choose the right Claude Code skills for your workflow

Not every skill belongs in every developer's setup. Here is a decision framework to help you pick the right combination.

Start with your biggest bottleneck. If you spend more time debugging than writing code, install superpowers for its TDD enforcement. If you constantly switch between your terminal and a browser to check pages, install agent-browser. If design decisions slow you down, install ui-ux-pro-max.

Layer skills based on your role. Full-stack developers benefit most from superpowers + agent-browser + artifacts-builder. Frontend specialists should prioritize ui-ux-pro-max + excalidraw-diagram + artifacts-builder. SEO-focused developers will get the most from claude-seo + notebooklm.

Consider your team. Skills like superpowers and skill-creator scale well across teams because they enforce consistency. If your organization builds custom tooling, invest time in skill-creator early so you can encode your internal workflows.

Watch your context budget. Every installed skill adds to Claude Code's context window consumption. Start with two or three skills, measure the impact on response quality, and add more only when you have a clear need. You can always install a skill for a specific project and remove it when you are done.

If your team needs help building custom Claude Code skills, agent workflows, or AI-powered automation pipelines, AY Automate offers AI agent development services and custom training tailored to your stack. You can also reach out directly to discuss your project.

Frequently asked questions

What are Claude Code skills?

Claude Code skills are SKILL.md files that you place in .claude/skills/ within your project. Each skill gives Claude Code a specialized set of instructions, templates, and context for a specific type of task. When Claude Code detects a relevant trigger, it loads the skill and follows its instructions. Think of skills as expert playbooks that turn Claude Code into a specialist for a particular workflow.

How do I install a Claude Code skill?

Most skills install by copying a folder into your project's .claude/skills/ directory. Some are available through the Anthropic marketplace using the /plugin marketplace add command. Once the skill folder is in place, Claude Code auto-detects and loads it. No restart required.

Can I use multiple Claude Code skills at the same time?

Yes. Claude Code can load multiple skills simultaneously. However, each skill adds to the context window, so installing too many at once can degrade response quality. Start with two or three that address your core workflow and add more as needed.

Are Claude Code skills free?

The skills themselves are almost always free and open source. Some skills connect to paid external services. For example, claude-seo's DataForSEO extension requires a paid API key, and notebooklm requires a Google account with NotebookLM access. The skill acts as the connector, but the external service may have its own pricing.

Do Claude Code skills work with other AI coding agents?

Many skills follow the standard SKILL.md format and work with other agents that support it, including Codex, Gemini CLI, Cursor, and OpenCode. The skill-creator skill specifically produces output compatible with multiple agents. Check each skill's documentation for compatibility details.

How do I create my own Claude Code skill?

Install the skill-creator skill and run through its interactive Q&A workflow. It generates a properly structured SKILL.md file with YAML frontmatter, trigger conditions, and instruction blocks. You can also create skills manually by following Anthropic's documentation on the SKILL.md format.

What is the difference between Claude Code skills and MCP servers?

Skills are instruction files that tell Claude Code how to approach a task. MCP servers are external processes that give Claude Code access to tools and data sources through the Model Context Protocol. Some skills (like claude-seo and notebooklm) combine both: a SKILL.md file provides the workflow instructions, and an MCP server provides the live data connection. They are complementary, not competing, concepts.

Which Claude Code skill should I install first?

If you write code professionally, start with superpowers. Its TDD enforcement and structured workflow improve the quality of everything Claude Code produces. If you have a more specialized need (SEO, design, browser automation), start with the skill that matches your primary workflow bottleneck.