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vneseyoungster AI Skills

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Browse published AI skills maintained by vneseyoungster. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

22

Repository stars across indexed skills

550

Repository forks

396

Average repository stars per indexed skill

25

Repository stars may repeat across skills from the same repository.

22 skills

Browse skills

GitHub

component-design

vneseyoungster

Design React/Vue components following atomic design and composition patterns. Use when creating UI components.

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pattern-detection

vneseyoungster

Detect and document existing code patterns in a codebase. Use to maintain consistency with established conventions when writing new code.

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brainstorming

vneseyoungster

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.

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clean-code

vneseyoungster

Enforce SOLID, DRY, KISS principles during implementation. Auto-activated when writing or modifying code.

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documentation

vneseyoungster

Generate and update documentation from code. Use after successful implementation.

GitHub

code-review

vneseyoungster

Review code for quality, security, performance, and maintainability. Auto-activate after code modifications.

GitHub

requirement-clarification

vneseyoungster

Generate clarifying questions from research findings. MUST be used before planning phase. Validates requirements are complete and unambiguous before technical work begins.

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dependency-analysis

vneseyoungster

Analyze project dependencies for security vulnerabilities, outdated packages, and upgrade paths. Use when auditing dependencies or planning upgrades.

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codebase-mapping

vneseyoungster

Generate structured codebase maps with dependency graphs, file relationships, and architectural patterns. Use when exploring unfamiliar codebases or documenting project structure.

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task-breakdown

vneseyoungster

Use when converting architecture plans into implementation phases. Creates independent, bite-sized phase files that can be executed separately.

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project-documentation

vneseyoungster

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...

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error-handling

vneseyoungster

Implement consistent error handling across the application. Use when adding try-catch blocks, error boundaries, or custom error classes.

GitHub

api-design

vneseyoungster

Design RESTful APIs following conventions with proper error handling, versioning, and documentation. Use when creating or modifying API endpoints.

GitHub

figma-analyzer

vneseyoungster

Extract design assets and metadata from Figma using the Figma REST API. Supports exporting frames/components as images, extracting node metadata, design tokens, and file structure. Use with ai-multimodal skill...

GitHub

context-preservation

vneseyoungster

Generate structured handoff summaries between workflow phases. Use when transitioning between RQPIV phases.

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user-intent-parser

vneseyoungster

Parse user requirements into structured format with explicit assumptions, constraints, and acceptance criteria. Use when initial requirements are ambiguous or informal.

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architecture-planning

vneseyoungster

Create detailed architecture plans with decision records and risk assessments. Use when planning significant features or system changes.

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git-workflow

vneseyoungster

Follow git conventions for commits, branches, and PRs. Auto-activated during git operations.

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migration

vneseyoungster

Create reversible database migrations with rollback scripts. Use when modifying database schemas.

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test-generation

vneseyoungster

Generate comprehensive tests following project testing patterns. Use after implementing features.

GitHub

security-scan

vneseyoungster

Scan code for OWASP vulnerabilities and security issues. Use for security-sensitive implementations.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.