codebase-mapping
Generate structured codebase maps with dependency graphs, file
ai-multimodal
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.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
docs-seeker
Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel
gemini-vision
Guide for implementing Google Gemini API image understanding - analyze images with captioning, classification, visual QA, object detection, segmentation, and multi-image comparison. Use when analyzing images, answering visual questions, detecting objects, or processing documents with vision.
project-documentation
Comprehensive codebase documentation generator following a layered methodology. This skill should be used when scanning and documenting a codebase for the first time, when creating onboarding documentation for new developers, when generating architecture overviews, walkthroughs, and API references. Supports README generation, architecture diagrams, entry point documentation, pattern guides, and edge case documentation.
figma-analyzer
Extract design assets and metadata from Figma using the Figma REST API.
api-design
Design RESTful APIs following conventions with proper error
clean-code
Enforce SOLID, DRY, KISS principles during implementation.
component-design
Design React/Vue components following atomic design and composition
error-handling
Implement consistent error handling across the application.
migration
Create reversible database migrations with rollback scripts.
architecture-planning
Create detailed architecture plans with decision records and risk
task-breakdown
Use when converting architecture plans into implementation phases. Creates independent, bite-sized phase files that can be executed separately.
requirement-clarification
Generate clarifying questions from research findings. MUST be used
user-intent-parser
Parse user requirements into structured format with explicit
repomix
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
dependency-analysis
Analyze project dependencies for security vulnerabilities, outdated
pattern-detection
Detect and document existing code patterns in a codebase. Use to
sequential-thinking
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
context-preservation
Generate structured handoff summaries between workflow phases.
git-workflow
Follow git conventions for commits, branches, and PRs.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
code-review
Review code for quality, security, performance, and maintainability.
documentation
Generate and update documentation from code.
security-scan
Scan code for OWASP vulnerabilities and security issues.
test-generation
Generate comprehensive tests following project testing patterns.
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment