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UI Pattern Generator Skill

sickn33/antigravity-awesome-skills

This skill allows users to generate structured and composed UI patterns—such as card sections, multi-column grids, forms, and data tables—by combining established design system primitives. It ensures consistency and reusability by adhering to defined layout rules, making complex UI development systematic and efficient.

Design System Setup Wizard

sickn33/antigravity-awesome-skills

This interactive wizard guides you through every step required to establish a consistent and professional design system for your new project. It walks users through selecting app type, defining brand colors, applying visual concepts (like Stripe or Notion), choosing typography, and finally scaffolding the initial page structure, ensuring a solid foundation for development.

Implementation Plan Update

update-implementation-plan

github/awesome-copilot

Automatically update implementation plan files to reflect new requirements, ensuring structured, machine-readable phases with explicit tasks and validation criteria for AI agents to execute deterministically.

Update LLMs Index

github/awesome-copilot

Maintains the repository's llms.txt guidance file by auditing current documentation, specs, and structure to ensure the navigation summary matches reality and stays compliant with the official specification.

Update Markdown File Index

update-markdown-file-index

github/awesome-copilot

This skill automatically updates a markdown file with an index or table of files from a specified folder. It scans the target file, discovers files matching a pattern, and generates a structured list or detailed table. It supports simple lists, detailed tables, or categorized sections, preserving existing markdown formatting and using relative paths for links.

Update Technical Specification Document

update-specification

github/awesome-copilot

Update existing specification files for solutions based on new requirements or code changes. Ensures documentation is optimized for Generative AI consumption, machine-readable, and self-contained. Follows structured formatting standards including requirements, constraints, interfaces, and acceptance criteria to facilitate AI-driven development workflows.

User Feedback State Generation Tool

sickn33/antigravity-awesome-skills

This skill guides the implementation of essential user feedback states—Loading (Skeleton), Empty (Zero Data), Error, and Success—for data-dependent components or entire pages. It ensures a robust and polished user experience by providing structured, best-practice patterns for handling various data scenarios, preventing visual gaps or dead ends in the UI flow.

Automate Vercel Deployments and Infrastructure

vercel-automation

sickn33/antigravity-awesome-skills

A comprehensive automation toolkit designed to manage the entire Vercel deployment lifecycle and associated infrastructure. Users can programmatically monitor, trigger, and manage deployments, configure custom domains and DNS records, manage environment variables across multiple targets, and oversee project settings and project listings. Essential for implementing robust CI/CD pipelines and managing cloud infrastructure.

Web Coding Mastery

github/awesome-copilot

Transforms you into a 10x web engineer, guiding work across HTML, CSS, JavaScript, web APIs, HTTP/HTTPS, security, performance, accessibility, and infrastructure so you can deliver standards-compliant, high-quality front- and back-end solutions.

Requesting Necessary Context Files

what-context-needed

github/awesome-copilot

This structured prompt guides an AI model to proactively analyze a user's question and systematically list all necessary files for accurate answering. It forces the AI to categorize required context into 'Must See' (critical), 'Should See' (helpful), 'Already Have,' and 'Uncertainties.' Ideal for complex coding tasks, debugging, or feature implementation that spans multiple codebase files.

Systematic Design and Specification Planning

jnMetaCode/superpowers-zh

A comprehensive skill designed to convert vague ideas, initial concepts, or high-level requirements into structured, detailed, and approved technical specifications. It enforces a rigorous, multi-step workflow, guiding users through context exploration, proposing multiple architectural trade-offs, and iteratively refining the design until a complete specification document is ready for the implementation phase.

Systematic Debugging Methodology

systematic-debugging

jnMetaCode/superpowers-zh

This skill provides a structured approach to debugging software issues, emphasizing root cause analysis before implementation. It guides users through four phases: investigation, pattern analysis, hypothesis verification, and implementation. It prevents symptom-based fixes and encourages architectural review when fixes fail repeatedly.

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