Full-Stack

Use when creating or updating draft pull requests without code review - streamlines draft PR workflow with meaningful descriptions and commit messages, focusing on work-in-progress documentation

This skill provides semantic search capabilities using embedding-based similarity matching for code and text. Enables meaning-based search beyond keyword matching, with optional document parsing (PDF, DOCX, PPTX) support.

Create a SHIP.md document - a concrete plan for finishing a project. Analyzes the codebase, defines what "done" means, breaks work into phases with small steps. No motivational fluff - just the plan. Triggers on "help me ship this", "create a ship document", "help me finish this project", "I'm stuck on this project", or when a user needs a clear completion plan.

Use sgrep for semantic code search. Use when you need to find code by meaning rather than exact text matching. Perfect for finding concepts like "authentication logic", "error handling patterns", or "database connection pooling".

Use sgrep for semantic code search. Use when you need to find code by meaning rather than exact text matching. Perfect for finding concepts like "authentication logic", "error handling patterns", or "database connection pooling".

Structure LLM context using XML tags for maximum attention efficiency. Use when writing system prompts, organizing complex instructions, or engineering context for Claude agents. Produces semantically meaningful XML that creates clear attention anchors.

Semantic code search with VectorCode using embeddings for finding code by meaning, not just keywords. Use when searching for code patterns, similar implementations, concept-based search, or when keyword search fails. Automatically available via MCP.

Search the web for content matching a query with AI-powered semantic search. Use for finding relevant web pages, research papers, news articles, code repositories, or any web content by meaning rather than just keywords.

Global coding conventions and best practices for modern full-stack TypeScript development. Load when implementing any code to ensure consistent naming, error handling, file organization, type safety, and code style across the entire codebase.

Use when asked to review MERN stack code - comprehensive code reviewer that checks project health, security, maintainability, performance, testing, and architecture. Combines general code quality analysis with MERN-specific expertise.

DevOps for fullstack - Docker, CI/CD, deployment, monitoring

Fullstack testing - unit, integration, E2E, coverage

Stage meaningful diffs and create commits with WHY-focused messages. Use when agent needs to commit code changes.

Platform color palette with semantic meanings, hex codes, accessibility notes, and usage patterns for all content types including loops, songs, playlists, video, and radio

Full-stack development fundamentals - architecture, patterns, integration

Security and performance - hardening, optimization, auditing

Master patterns for building cohesive full-stack applications.

Full-stack development expertise covering backend, frontend, database, DevOps, and testing domains

Automate frequent Git operations including adding changes, committing with meaningful messages, and pushing to remote repositories. Use when you need to save progress, commit code changes, or maintain regular version control workflow with proper commit practices.

Use when creating well-structured, conventional git commits from code changes. Triggers after completing work, before pushing changes, or when organizing unstaged/staged changes into meaningful commits. Triggers on "commit", "git commit", "create commit", "stage changes", "conventional commits", "commit message", "atomic commits".