Skill UI

This tool provides a comprehensive workflow for generating powerful, self-contained frontend artifacts for AI platforms. It initializes a React/TypeScript project using Vite and Tailwind CSS, allowing developers to build complex UIs. The core function is bundling the entire application into a single, shareable HTML file, making it easily viewable within AI conversations.

AnnData supplies a Python-native container for annotated matrices, letting researchers store measurements alongside rich metadata, read/write h5ad/zarr/loom/10X files, and integrate with the scverse tools when building single-cell or related data workflows.

This tool facilitates a structured, in-depth founder interview covering seven critical dimensions, including company identity, market positioning, team culture, and strategic goals. It generates a persistent `company-context.md` file, which serves as the single source of truth for all subsequent C-suite advisory interactions. Use it for initial setup or mandatory quarterly context refresh.

This script automates the generation of a complete set of favicons (including favicon.ico, various PNG sizes, and SVG) from a single source image. It intelligently detects the project framework (e.g., Next.js, Rails, Gatsby) to place assets in the correct static directory, generates the necessary webmanifest, and updates the project's HTML/layout files with the proper link tags.

Validates SKILL.md files against the agentskills specification and Anthropic best practices, catching structure, semantic, naming, and quality issues in a single read-only pass before publishing or debugging skills.

Allows users to resume an interrupted or paused autoresearch experiment. It automatically loads the full context, including configuration, strategy files, complete results history, and recent code changes. The system then summarizes the current best metrics and patterns, prompting the user to continue with a single iteration, set up an automated loop, or manually review the results.

This skill provides a systematic pipeline for safely executing large-scale code refactors across multiple files or subsystems. It first performs parallel, dependency-aware analysis to map the entire scope, synthesizing a single, actionable plan. The process then breaks the work into independent 'work packets,' which are executed sequentially or in parallel by specialized worker agents, ensuring strict dependency management and behavior parity throughout the entire process.

This framework manages the ingestion, organization, synchronization, and search of knowledge across multiple storage layers, including local files, persistent memory, vector stores, and Git repositories. It provides a structured approach for ensuring knowledge durability, deduplication, and maintaining a 'single source of truth' across complex development and operational contexts.

officecli is a single-binary CLI for creating, inspecting, validating, and updating Word/Excel/PowerPoint files without Office; ideal for scripting flows that add slides, edit tables, or check formatting across docs.

This skill generates highly structured DESIGN.md files, acting as a semantic design system for Google Stitch. It translates complex, anti-generic frontend principles—including typography, color calibration, component behavior, and motion physics—into actionable, natural-language rules. Use it as the single source of truth to guide AI in generating premium, non-clichéd, professional user interfaces.

Automates creating a single GitHub feature issue from a specification file, checking existing issues first, filling title/description/labels per feature_request.yml, and including only spec-mandated changes.

Converts markdown documents to HTML via marked.js-style workflows, pandoc/gomarkdown knowledge, and templating systems like Jekyll or Hugo for both single-file and batch pipelines, enabling static site previews, documentation, and CLI/Node toolchains.