Skill UI

Use terminal commands to discover, list, create, edit, move, copy, enable/disable, and delete AI agent skills across 11 tools, handling format conversions and scope overrides between global and project configurations.

pydicom is a comprehensive Python library designed for reading, inspecting, writing, and transforming local DICOM datasets and associated pixel data. It supports complex metadata handling, various transfer syntaxes, and provides tools for bounded de-identification and preflight checks. It is essential for medical image processing pipelines that require robust handling of Protected Health Information (PHI).

PyTDC is a specialized Python package designed to interact with the Therapeutics Data Commons. It facilitates the discovery of machine learning tasks, loading approved datasets, generating task-appropriate data splits, and evaluating predictions for drug discovery research. The tool strongly emphasizes performing metadata-only discovery and planning before initiating resource-intensive data downloads or network operations.

scVelo is a leading Python package for analyzing RNA velocity in single-cell RNA-seq data. It infers cell state transitions and developmental trajectories by modeling the kinetics of mRNA splicing (unspliced/spliced ratios). This allows researchers to determine cell fate decisions, predict differentiation paths, and identify driver genes without requiring time-course experiments. It complements tools like Scanpy for comprehensive analysis.

Guide to building and troubleshooting TorchDrug 0.2.1 workflows for molecular graphs, property prediction, pretraining, generation, retrosynthesis, protein learning, and knowledge graph reasoning.

A comprehensive guide and toolkit for optimizing and monitoring consumption-based costs across the Adobe Creative Cloud ecosystem. It provides strategies and code snippets for tracking usage (credits, transactions) for Firefly, PDF Services, Photoshop, and Lightroom APIs. Use this when implementing usage monitoring, managing billing alerts, or reducing operational expenses related to Adobe API calls.

This guide provides a comprehensive, reproducible workflow for setting up an Algolia local development environment. It covers creating separate development indices, seeding mock data, and implementing client mocking for unit tests. This process ensures fast, safe iteration cycles, allowing developers to build and test search features without ever touching production data.

A comprehensive reference guide and toolkit for stylistic text compression. It provides multiple modes (Lite, Full, Ultra) and specialized skills (e.g., commit messages, review comments) to transform verbose, chatty text into extremely concise, professional prose. Ideal for developers needing to write terse commit logs, academic summaries, or simply minimize token usage.

This skill integrates the agent with the Matrix/Element messaging platform. It enables full conversational capabilities, allowing users to receive real-time alerts, search content, and control connected systems (such as cameras) directly from a designated Matrix room. It supports multi-turn interactions, including sending files, reacting, editing, and managing threads.

A comprehensive guide to the three primary architecture patterns for integrating with Figma: CLI scripts, Webhook services, and dedicated plugins. This resource helps developers select the optimal pattern (REST vs. Plugin API) based on whether the use case requires real-time event handling, local automation, or in-editor component interaction. Ideal for planning robust Figma-connected applications like design token synchronization or linting.

Outlines a comprehensive, fast local development loop for applications hosted on Fly.io. It guides users through testing Docker containers locally, proxying remote services like Postgres and Redis to localhost, configuring dev environments, and performing fast deployment cycles. Essential for modern edge computing development.

This guide provides comprehensive instructions for setting up and authenticating Framer development environments. It covers two primary surfaces: the Plugin SDK (for UI running inside the editor) and the Server API (for headless CMS synchronization or CI/CD). Users will learn how to initialize projects, configure environment variables, and connect both client-side and server-side components.