create
The `create` slash command generates a new Agent Skill for Claude Code projects by establishing the required directory structure and documentation files in `./.claude/skills/`. Use this command when building custom skills that extend Claude's capabilities, providing a scaffolded framework that adheres to the Agent Skills Spec and best practices for organizing skill definitions, scripts, and reference materials.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/mrgoonie/claudekit-skills/HEAD/.claude/commands/skill/create.md -o ~/.claude/commands/create.mdcreate.md
Ultrathink. **IMPORTANT:** - Read this skill documentation carefully before starting: https://docs.claude.com/en/docs/claude-code/skills.md - Read the Agent Skills Spec carefully before starting: `.claude/skills/agent_skills_spec.md` Create a new **Agent Skill** for Claude Code based on the given prompt: <prompt>$ARGUMENTS</prompt> - **Skills location:** `./.claude/skills` - Skill file name (uppercase): `SKILL.md` - Skill folder name (hyphen-case): `<skill-name>` - Full path: `./.claude/skills/<skill-name>/SKILL.md` - Script files (if any): `./.claude/skills/<skill-name>/scripts/my-script.py` or `./.claude/skills/<skill-name>/scripts/my-script.sh` - Reference files (if any): `./.claude/skills/<skill-name>/references/ref-0.md` ## References (MUST READ): - [Agent Skills Overview](https://docs.claude.com/en/docs/agents-and-tools/agent-skills/overview.md) - [Best Practices](https://docs.claude.com/en/docs/agents-and-tools/agent-skills/best-practices.md) ## Important Notes: - If you're given an URL, it's documentation page, use `Explorer` subagent to explore every internal link and report back to main agent, don't skip any link. - If you receive a lot of URLs, use multiple `Explorer` subagents to explore them in parallel, then report back to main agent. - If you receive a lot of files, use multiple `Explorer` subagents to explore them in parallel, then report back to main agent.
Manage MCP (Model Context Protocol) server integrations - discover tools/prompts/resources, analyze relevance for tasks, and execute MCP capabilities. Use when need to work with MCP servers, discover available MCP tools, filter MCP capabilities for specific tasks, execute MCP tools programmatically, or implement MCP client functionality. Keeps main context clean by handling MCP discovery in subagent context.
Stage all files and create a commit.
Stage, commit and push all code in the current branch
Create a pull request
Utilize tools of Model Context Protocol (MCP) servers
Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks skills.
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.