Create or update Claude skills. Use for new skills, skill references, skill scripts, optimizing existing skills, extending Claude's capabilities.

Skill Creator This skill provides guidance for creating effective skills. About Skills Skills are modular, self contained packages that extend Claude's capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks—they transform Claude from a general purpose agent into a specialized agent equipped with procedural knowledge that no model can fully possess. IMPORTANT: Skills are not documentation, they are practical instructions for Claude Code to use the tools, packages, plugins or APIs to achieve the tasks. Each skill teaches Claude how to perform a specific development task, not what a tool does. Claude Code can activate multiple skills automatically to achieve the user's request. What Skills Provide 1. Specialized workflows Multi step procedures for specific domains 2. Tool integrations Instructions for working with specific file formats or APIs 3. Domain expertise Company specific knowledge, schemas, business logic 4. Bundled resources Scripts, references, and assets for complex and repetitive tasks Anatomy of a Skill Every skill consists of a required SKILL.md file and optional bundled resources: Requirements ( IMPORTANT ) Skill should be combined into specific topics, for example: cloudflare , cloudflare r2 , cloudflare workers , docker , gcloud should be combined into devops SKILL.md should be less than 150 lines and include the references of related markdown files and scripts. Each script or referenced markdown file should be also less than 150 lines , remember that you can always split them into multiple files ( progressive disclosure principle). Descriptions in metadata of SKILL.md files should be both concise ( less than 200 characters ) and still contains enough usecases of the references and scripts, this will help skills can be activated automatically during the implementation process of Claude Code. Referenced markdowns : Sacrifice grammar for the sake of concision when writing these files. Can reference other markdown files or scripts as well. Referenced scripts : Prefer nodejs or python scripts instead of bash script, because bash scripts are not well supported on Windows. If you're going to write python scripts, make sure you have requirements.txt Make sure scripts respect .env file follow this order: process.env $HOME/.claude/skills/${SKILL}/.env (global) $HOME/.claude/skills/.env (global) $HOME/.claude/.env (global) ./.claude/skills/${SKILL}/.env (cwd) ./.claude/skills/.env (cwd) ./.claude/.env (cwd) Create .env.example files to show the required environment variables. Always write tests for these scripts. IMPORTANT: Always keep in mind that SKILL.md and reference files should be token consumption efficient, so that progressive disclosure can be leveraged at best. SKILL.md should be less than 150 lines Referenced markdown files should be also less than 150 lines , remember that you can always split them into multiple files ( progressive disclosure principle). Referenced scripts: no limit on length, just make sure it works, no compile issues, no runtime issues, no dependencies issues, no environment issues, no platform issues. Why? Better context engineering : leverage progressive disclosure technique of Agent Skills, when agent skills are activated, Claude Code will consider to load only relevant files into the context, instead of reading all long SKILL.md as before. SKILL.md (required) File name: SKILL.md (uppercase) File size: Under 150 lines, if you need more, split it to multiple files (<150 lines each) in references folder. SKILL.md is always short and concise, straight to the point, treat it as a quick reference guide. Metadata Quality: The name and description ( MUST be under 200 characters ) in YAML frontmatter determine when Claude will use the skill. Be specific about what the skill does and when to use it, DO NOT sound generic, vague or educational. Use the third person (e.g. "This skill should be used when..." instead of "Use this skill when..."). Bundled Resources (optional) Scripts ( scripts/ ) Executable code (Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten. When to include : When the same code is being rewritten repeatedly or deterministic reliability is needed Example : scripts/rotate pdf.py for PDF rotation tasks Benefits : Token efficient, deterministic, may be executed without loading into context Note : Scripts may still need to be read by Claude for patching or environment specific adjustments IMPORTANT: Write tests for scripts. Run tests and make sure it works, if tests fail, fix them and run tests again, repeat until tests pass. Run scripts manually with some usecases to make sure it works. Make sure scripts respect .env file follow this order: process.env $HOME/.claude/skills/${SKILL}/.env (global) $HOME/.claude/skills/.env (global) $HOME/.claude/.env (global) ./.claude/skills/${SKILL}/.env (cwd) ./.claude/skills/.env (cwd) ./.claude/.env (cwd) References ( references/ ) Documentation and reference material intended to be loaded as needed into context to inform Claude's process and thinking. When to include : For documentation that Claude should reference while working Examples : references/finance.md for financial schemas, references/mnda.md for company NDA template, references/policies.md for company policies, references/api docs.md for API specifications Use cases : Database schemas, best practices, common workflows, cheatsheets, tool instructions, API documentation, domain knowledge, company policies, detailed workflow guides Benefits : Keeps SKILL.md lean, loaded only when Claude determines it's needed, makes information discoverable without hogging the context window. Best practice : If files are large ( 150 lines), split them into multiple files (<150 lines each) in references folder, include grep search patterns in SKILL.md Avoid duplication : Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md ; move detailed reference material, schemas, and examples to references files. IMPORTANT: Referenced markdown files should be also less than 150 lines , remember that you can always split them into multiple files ( progressive disclosure principle). Referenced markdown files are practical instructions for Claude Code to use the tools, packages, plugins or APIs to achieve the tasks. Each skill teaches Claude how to perform a specific development task, not what a tool does. Assets ( assets/ ) Files not intended to be loaded into context, but rather used within the output Claude produces. When to include : When the skill needs files that will be used in the final output Examples : assets/logo.png for brand assets, assets/slides.pptx for PowerPoint templates, assets/frontend template/ for HTML/React boilerplate, assets/font.ttf for typography Use cases : Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified Benefits : Separates output resources from documentation, enables Claude to use files without loading them into context Progressive Disclosure Design Principle Skills use a three level loading system to manage context efficiently: 1. Metadata (name + description) Always in context ( less than 200 characters ) 2. SKILL.md body When skill triggers (<5k words) 3. Bundled resources As needed by Claude (Unlimited ) Unlimited because scripts can be executed without reading into context window. Skill Creation Process To create a skill, follow the "Skill Creation Process" in order, skipping steps only if there is a clear reason why they are not applicable. Step 1: Understanding the Skill with Concrete Examples Skip this step only when the skill's usage patterns are already clearly understood. It remains valuable even when working with an existing skill. To create an effective skill, clearly understand concrete examples of how the skill will be used. This understanding can come from either direct user examples or generated examples that are validated with user feedback. Use AskUserQuestion tool to gather user feedback and validate understanding. For example, when building an image editor skill, relevant questions include: "What functionality should the image editor skill support? Editing, rotating, anything else?" "Can you give some examples of how this skill would be used?" "I can imagine users asking for things like 'Remove the red eye from this image' or 'Rotate this image'. Are there other ways you imagine this skill being used?" "What would a user say that should trigger this skill?" To avoid overwhelming users, avoid asking too many questions in a single message. Start with the most important questions and follow up as needed for better effectiveness. Conclude this step when there is a clear sense of the functionality the skill should support. Step 2: Research on The Internet An effective skill is a subset of real life workflows from professional workflows and case studies, so it's important to research on the internet to understand the current state of the art and best practices. Activate /docs seeker skill to search for documentation if needed. If you receive a lot of URLs or files, use multiple WebFetch tools and Explore subagents to explore them in parallel, then report back to main agent. Activate /research skill to research for: Best practices & industry standards Existing CLI tools (executable via npx , bunx or pipx ) and their usage patterns Workflows & success case studies Common patterns, use cases & examples Edge cases, potential pitfalls & avoidance strategies Write down the reports from the research to be used in the next step. Step 3: Planning the Reusable Skill Contents To turn concrete examples into an effective skill, analyze each example by: 1. Considering how to execute on the example from scratch 2. Prefer existing CLI tools' execution (via npx , bunx or pipx ) over writing custom code 3. Identifying what scripts, references, and assets would be helpful when executing these workflows repeatedly 4. Analyze the current skills catalog to avoid duplicating functionality, re using existing skills where possible. Example: When building a pdf editor skill to handle queries like "Help me rotate this PDF," the analysis shows: 1. Rotating a PDF requires re writing the same code each time 2. A scripts/rotate pdf.py script would be helpful to store in the skill Example: When designing a frontend webapp builder skill for queries like "Build me a todo app" or "Build me a dashboard to track my steps," the analysis shows: 1. Writing a frontend webapp requires the same boilerplate HTML/React each time 2. An assets/hello world/ template containing the boilerplate HTML/React project files would be helpful to store in the skill Example: When building a big query skill to handle queries like "How many users have logged in today?" the analysis shows: 1. Querying BigQuery requires re discovering the table schemas and relationships each time 2. A references/schema.md file documenting the table schemas would be helpful to store in the skill To establish the skill's contents, analyze each concrete example to create a list of the reusable resources to include: scripts, references, and assets. Make sure scripts respect .env file follow this order: process.env $HOME/.cl

skill-creator