Skill UI

A comprehensive guide to importing and animating complex 3D models (glTF/GLB) into three.js. This skill covers using GLTFLoader to load PBR assets, managing animation playback with AnimationMixer, and integrating support for compressed formats like DRACO geometry and KTX2 textures. Ideal for web developers building interactive, high-fidelity 3D scenes.

This powerful skill converts complex, dependency-tagged matter plans into interactive Gantt charts and critical path analyses. Essential for Legal Project Management (LPM), it allows users to model 'what-if' scenarios—such as regulatory delays or scope changes—to predict program impact, identify affected tasks, and draft necessary communications. It supports baseline creation, change tracking, and filtered views by jurisdiction or workstream.

A comprehensive guide for developing full-featured VS Code extensions from scratch or converting existing web applications (JS/React/Vue). Learn to implement custom commands, complex webviews, hierarchical tree views, custom editors, and integrate advanced features like AI agents using file-bridge IPC. Supports modern build stacks including TypeScript, esbuild, and Vite.

A comprehensive toolkit for the entire lifecycle of spreadsheet data, including creation, sophisticated editing, deep analysis, and visual reporting. It supports various formats (.xlsx, .csv) and is designed for professional tasks such as building complex financial models, generating reports with precise formatting, and analyzing raw tabular data while meticulously preserving formulas and structure.

Splits oversized pull requests over 400 lines into chained PRs to protect reviewer focus. Supports stacked PRs and feature branch chains with dependency diagrams, ensuring each PR is reviewable within 60 minutes.

This skill helps plan commits as reviewable work units during software development. It guides splitting features, preparing commits before PRs, and managing chained PRs to keep reviewer cognitive load healthy. It ensures tests and docs stay with code, prevents large diffs (e.g., >400 lines), and supports SDD and ODD workflows by mapping tasks to atomic commits with clear verification and rollback boundaries.

Build respawn-safe Roblox character systems around Players, CharacterAdded/CharacterRemoving, Humanoid, HumanoidRootPart, Animator, R6/R15 rigs, movement, animations and markers, death, tools, accessories, ownership, and custom characters. Use when character scripts break after respawn, cache stale Humanoids, control movement or velocity, load AnimationTracks, handle death, equip Tools, modify avatars, or support custom player rigs.

Knap is a command-line tool that renders Markdown templates using structured data like JSON or CSV. It supports variables, filters, and logic to batch-generate notes, format Defuddle output, and validate templates. Ideal for developers automating note creation and content processing workflows.

This skill queries the NCATS Translator ARAX API for biomedical knowledge-graph relationships. It supports one-hop and two-hop lookups with Biolink constraints, entity normalization, and provider federation. Users can inspect provenance and edge bindings. It is designed for public research queries only, requiring Python 3.10+ and HTTPS access. Do not use for clinical guidance or sensitive data.

Query live genomic surveillance data via GenSpectrum LAPIS API to identify circulating viral lineages, growth rates, and mutations. Essential for determining current pathogen states like dominant SARS-CoV-2 variants or influenza clades, ensuring accuracy beyond static knowledge cutoffs. Supports multiple pathogens including SARS-CoV-2, Influenza, and RSV.

This skill performs pharmacokinetic and pharmacodynamic modelling, including non-compartmental analysis, compartmental fitting, and population PK. It helps derive exposure metrics, evaluate dosing regimens, and predict drug interactions using Python scripts. Suitable for analyzing concentration-time data and supporting clinical pharmacology workflows.

This skill helps maintainers verify reported bugs in the mcp-toolbox project. It involves analyzing issue reports, checking versions and configurations, and attempting local reproduction to determine if the bug is real, fixed, or misconfigured. The process requires citing specific evidence like file paths and commit SHAs to support verdicts such as confirmed, already-fixed, or client-side issues. It ensures efficient bug triage without unnecessary infrastructure setup.