Manually running tests and analyzing failures is time-consuming. This skill automates test execution across different project types, detects test commands, runs tests, and handles failures by implementing fixes.

Managing Git branches can be confusing, especially when dealing with errors or sync issues. This skill automates branch investigation and creation while handling common problems like conflicts and uncommitted changes.

Need to implement features or fix bugs. This skill provides a structured workflow for investigating code, making changes, and creating conventional git commits.

Creating pull requests manually takes time and often results in incomplete descriptions. This skill automates PR creation with structured templates, ensuring consistent documentation and faster code reviews.

Creating optimized web pages for Google ranking takes significant time and expertise. This skill provides a proven methodology, templates, and validation scripts to generate 50+ SEO pages quickly with professional quality.

This skill helps you build production-grade web interfaces with bold, memorable aesthetics. It guides creative choices for typography, color, motion, and spatial composition to avoid generic AI-generated designs.

Need thorough, citation-backed research across multiple sources? This skill delivers verified, professional-grade reports through an 8-phase methodology with source credibility scoring and automatic citation validation. Stop spending hours searching and synthesizing—get comprehensive analysis ready for decisions.

Lovable requires manual prompts for edge function and database migrations. This skill automates browser navigation and prompt submission after git push, saving developers time while maintaining safety with manual fallbacks.

Lovable uses two-way GitHub sync for frontend but requires Lovable prompts for backend operations. This skill provides exact prompts for deploying edge functions, applying migrations, and managing database operations without memorizing documentation.

Users struggle to describe visual content accurately when debugging UI issues or documenting designs. This skill provides detailed analysis of screenshots, diagrams, and visual content with actionable observations.

A minimal skill template for testing skill format and structure. Use this as a starting point to create new skills with proper YAML frontmatter.

Managing issues across multiple Linear projects requires manual API calls and constant context switching. This skill provides a unified interface to create, update, and track Linear issues directly through conversation with your AI assistant.

Finding specific files and code patterns in large projects takes too much time. This skill provides fast, focused search and navigation capabilities to locate files, symbols, and definitions without deep analysis.

Finding and understanding documentation across libraries and frameworks takes significant time and effort. This skill provides accurate references and clear explanations by guiding the AI to prefer official documentation, highlight version-specific details, and provide concrete usage examples.

Need to write new features, fix bugs, or refactor existing code. This skill provides a focused AI subagent that follows project conventions and makes precise code modifications with minimal targeted edits.

Complex software projects often suffer from unclear requirements and architectural decisions made without proper trade-off analysis. This skill provides structured guidance for system design, helping you clarify requirements, compare alternatives, and identify risks before implementation begins.

Building APIs can be complex and time-consuming. This skill provides focused prompts to help design, implement, and test API endpoints efficiently.

Track your Claude Router usage and see estimated cost savings from intelligent model routing. Understand how queries are distributed across different model tiers.

Claude automatically selects models based on query complexity. This skill lets you override that selection and force a specific model for precise control over capability and cost.

The knowledge base accumulates insights over time which may become outdated or unwanted. This skill provides a controlled way to clear all accumulated learning data and start fresh with a clean slate.