Skill UI

This skill specializes in creating comprehensive and maintainable documentation directly from codebases. It generates API docs, architecture diagrams, user guides, and technical references using AI-powered analysis. Ideal for building documentation pipelines, standardizing documentation across repositories, and ensuring living documentation stays synchronized with code changes while adhering to industry best practices.

Provides structured templates and guidelines for creating technical documentation including READMEs, API references, code comments, changelogs, and AI-friendly indexes. Helps standardize project documentation for clarity and maintainability across development teams.

Specialist in reducing developer friction, automating repetitive tasks, and improving development workflows. Analyzes current setup, identifies pain points, and implements incremental improvements to tooling, scripts, documentation, and IDE configuration. Use for onboarding, build/test feedback, and repeatable scripts.

This skill provides comprehensive templates and patterns for drafting legally sound employment documentation. It covers core HR documents such as employment contracts, offer letters, employee handbooks, and internal HR policies. Use it to standardize onboarding, document employee agreements, and manage essential compliance requirements for your workforce.

Maintain durable feature-level memory across AI coding sessions using lightweight Markdown tracks. It organizes status, source-of-truth docs, decisions, risks, and changes for long-lived features. Helps AI agents resume work accurately without relying on chat history. Ideal for repositories needing structured project memory without reorganizing all documentation.

This skill helps developers create highly focused, folder-specific documentation (`CLAUDE.md` and `AGENTS.md`). It systematically analyzes all files in a target directory to extract project purpose, operational constraints, naming conventions, and critical decisions. This deep context ensures that future AI agents (like Claude or Codex) operate with localized knowledge, preventing them from relying on global, generalized instructions and improving their accuracy in that specific domain.

Scaffold production-ready, accessible, and performant React and React Native components with TypeScript, tests, styles, and documentation. Automates component creation for scalable architectures.

The /goal command converts standard agent prompts into persistent, self-correcting loops (plan → act → test → review → iterate). It is designed for long-running, complex engineering tasks like migrations, coverage lifts, or refactoring, ensuring progress is tracked against a verifiable stop condition and mandated documentation.

This skill enables AI assistants to interact with the Hugging Face Hub via Model Context Protocol (MCP). Users can search for models, datasets, and papers, retrieve repository details, fetch documentation, and execute compute jobs on GPU or CPU. It also allows leveraging Gradio Spaces as functional AI tools. Ideal for developers and researchers needing direct access to the HF ecosystem for model discovery, training, and deployment workflows.

Convert Hugo documentation sites and Hugo-managed content into standard Markdown by inspecting local Hugo config, shortcodes, render hooks, and content conventions. Useful for migrating, archiving, or integrating Hugo docs into Markdown workflows.

Generate images with Google Gemini's image model straight from a Claude Code session. Create UI placeholders, icons, documentation illustrations, diagrams and concept visuals, saved locally as PNG files with a returned file path.

Removes Lovable.dev scaffolding from Vite + React projects including dependencies, branding, placeholder assets, and generated documentation. Helps developers ship clean, ownable codebases after exporting from Lovable. Audits package.json, vite.config.ts, index.html, and source files for Lovable fingerprints.