Skill UI

TweetClaw provides comprehensive automation capabilities for X/Twitter using the Xquik REST API. It allows users to perform full read and write operations—including posting, replying, liking, following, and sending DMs. Key features include advanced tweet searching, bulk data scraping (23 tools), account monitoring, running structured giveaways, and composing algorithm-optimized content. Ideal for social media managers, digital marketers, and data analysts needing deep platform insights.

This comprehensive guide teaches how to use httpYac in VSCode to convert API documentation (like Swagger or Postman collections) into robust, executable .http files. It provides advanced workflow guidance for implementing complex authentication schemes (OAuth2, Bearer), managing multi-environment configurations, chaining requests using response data, and integrating testing workflows with CI/CD pipelines for professional-grade API automation.

A comprehensive guide to setting up continuous integration and continuous deployment (CI/CD) pipelines for Webflow Data API v2 integrations using GitHub Actions. This setup automates unit testing (mocked SDK), robust integration testing with real API tokens, CMS schema validation, and reliable publish-on-merge workflows, ensuring code quality and consistency in your Webflow projects.

This tool reads your local GitHub Copilot CLI conversation history using the specialized `vardoger` CLI. It analyzes your behavioral patterns, coding conventions, and usage style to generate a personalized instructions block. This block is written directly to your local Copilot configuration file, allowing the assistant to adapt its guidance and suggestions specifically to your unique habits and preferences. The process runs entirely offline, ensuring maximum privacy.

This tool assists engineers in transforming vague work logs into structured, evidence-backed impact statements for professional documentation. It uniquely mines Copilot CLI session logs, git commits, and GitHub PRs to reconstruct forgotten work. It enforces a mandatory 'Action → Result → Evidence' impact contract, making it indispensable for preparing performance reviews, promotion packets, and self-assessments.

This skill performs a rigorous, 5-dimension expert critique on any digital artifact, such as landing pages, presentations, or prototypes. It systematically evaluates five critical areas—Philosophy, Visual Hierarchy, Detail Execution, Functionality, and Innovation—scoring each 0-10. The output is a comprehensive, evidence-backed HTML report providing actionable insights, a radar chart, and prioritized lists (Keep/Fix/Quick-wins) to guide systemic design improvements.

Generate a professional, two-spread digital e-guide preview, perfect for marketing collateral, lookbooks, or lead magnets. This skill simulates a highly polished, magazine-style publication, featuring a detailed cover page with stats, a table of contents, and an interior spread with body text, pull-quotes, and step-by-step actionable content. Ideal for creators and brands needing a polished digital guide.

Automates the end-to-end software release workflow for a GitHub repository. This skill handles Semantic Versioning (SemVer) version bumping, analyzes code changes by generating sophisticated diffs, and automatically creates a formatted changelog and release pull request. It relies exclusively on the GitHub CLI (gh) and Git for robust version control and deployment.

A tool that generates and opens a GitHub Pull Request (PR) dashboard in the browser. Users can specify precise criteria, including date ranges (e.g., 'last 7 days', 'this month') and specific roles (e.g., 'Authored by me', 'Requested reviews'), to view detailed PR activity. Requires GitHub CLI authentication for full functionality.

This skill analyzes the comprehensive commit history between two branches to generate a concise, objective, and highly structured Pull Request (PR) description. It automatically groups changes by domain, summarizing the purpose, technical notes, and user impact, ensuring consistency and minimizing manual documentation effort.

This skill generates comprehensive, tailored instruction files for AI coding assistants like GitHub Copilot and Claude. It supports multiple strategies (flat or nested) and is specifically designed for managing complex monorepos by creating area-scoped instructions using `applyTo` globs. Use it to standardize AI tooling usage across large codebases.

This skill analyzes raw git diffs or change descriptions to generate clear, story-driven commit messages. It strictly adheres to the Conventional Commits specification, ensuring that messages thoroughly explain *why* a change was made, not just *what* changed. It is ideal for writing meaningful commit history, preparing pull requests, or summarizing complex code changes for team collaboration.