Skill UI

This tool automates complex Git workflows to save time and reduce manual overhead. It intelligently detects and groups related code changes, automatically generates descriptive branch names (e.g., fix/auth-bug), and streamlines the entire cycle: staging, committing, pushing, and creating Pull Requests (PRs). Use it to maintain clean, consistent commit histories efficiently.

A static analysis tool that audits SQL code for common cost and performance anti-patterns (e.g., full-table scans, Cartesian joins). It calculates a query health score (0-100) for data warehouses like BigQuery, Snowflake, and Redshift, providing a prioritized, actionable plan with concrete fixes and estimated cost savings. Essential for FinOps and data quality assurance.

Provision and manage AWS cloud infrastructure using Terraform Infrastructure as Code (IaC). Create reusable modules, manage state files, and implement best practices for declarative resource deployment. Suitable for DevOps workflows requiring automated server, network, and storage setup.

This skill acts as a specialized tutorial engineering specialist, transforming raw, complex technical concepts or codebases into structured, progressive, and engaging educational content. It applies pedagogical design principles, such as progressive disclosure, spaced repetition, and hands-on exercises, to create documentation, courses, and onboarding materials that teach users how to build, debug, and optimize, rather than just referencing information.

This skill performs a quick automated lint scan to detect common design system violations in seconds. It checks for hardcoded colors, raw pixel values, old width/height syntax, physical properties, forbidden colors, missing data-slots, and improper className usage. Ideal for running after every file change to maintain design consistency and prevent technical debt in UI development projects using design tokens.

This skill automates the creation of comprehensive unit tests across multiple programming languages like Python, JavaScript, and Java. It analyzes source code to identify functions and classes, then generates maintainable test suites with strong coverage, edge case handling, and proper mocking. Ideal for developers seeking consistent test structures and improved code quality without manual writing.

Rewrites code review comments to sound like a human teammate, removing corporate-AI throat-clearing and providing direct, concrete feedback with line numbers and fixes. Use for PR reviews, humanizing review comments, or generating terse, actionable feedback.

A skill for building reliable no-code automations with Zapier and Make. Covers platform selection, workflow patterns, best practices, and limitations, helping users automate business processes without writing code.