Skill UI

PyTDC enables discovery of therapeutic machine learning tasks, access to approved datasets, task-aware data splits, evaluation metrics, benchmark groups, and molecular oracle workflows. Designed for biomedical research and drug discovery applications using Python.

Qiskit is a Python framework for building, simulating, and executing quantum circuits. It supports local simulation, noisy simulation, and IBM Quantum hardware execution. Users can utilize V2 primitives like Sampler and Estimator for variational algorithms and quantum machine learning tasks.

TorchDrug is a modular PyTorch library for graph learning tasks including molecular property prediction, molecule generation, and knowledge graph reasoning. It provides datasets, models, and training engines for building workflows in computational chemistry and biology. Ensure compatibility with PyTorch 1.8-2.0 and Python 3.7-3.10 before implementation.

Load Hugging Face Hub models, run pipeline inference, generate text, and fine-tune with the Trainer API across NLP, vision, audio, and multimodal tasks using Python and PyTorch.

This tool automates the complete specification generation process across four core phases: Initialization, Requirements, Design, and Tasks. It supports both interactive (step-by-step approval) and automatic execution modes. After generating the full spec, it performs a final sanity review to ensure coherence and completeness, providing a ready-to-implement blueprint.

This skill generates actionable implementation tasks from product specifications, requirements, and design documents. It ensures tasks are properly sized, mapped to requirements, and include clear completion criteria. It supports parallel or sequential execution modes and includes a sanity review gate to verify task executability before finalizing the task plan.

This guide provides comprehensive strategies to significantly reduce spending on the Anthropic Claude API. Key techniques include model routing (selecting the most cost-effective model for the task), prompt caching for repeated prompts, using Message Batches for asynchronous tasks, and implementing real-time spend tracking and budget alerts. Essential for managing large-scale, high-cost AI deployments and optimizing cloud LLM expenditures.

A comprehensive diagnostic reference for resolving common technical failures encountered when running web scraping and automation tasks on the Apify platform. Covers issues such as Actor run failures, API rate limits (429), authentication errors (401), anti-bot blocks, and memory allocation issues, providing structured fixes and best practices for robust scraping pipelines.

This comprehensive workflow manages the full property lifecycle using the AppFolio API. It handles authentication, creating and updating property records and units, onboarding new tenants, generating lease agreements, and querying real-time occupancy/vacancy data. Ideal for automating core real estate management tasks in a SaaS environment.

This comprehensive guide addresses common and complex errors encountered when automating Apple Notes on macOS using JXA or osascript. It covers three major areas: TCC permission denials, AppleEvent communication failures, and iCloud synchronization issues. The document provides a detailed error reference table, root cause analysis, tested fixes, and diagnostic scripts to help developers successfully automate Notes tasks.

This comprehensive guide details the process of managing BambooHR API changes, addressing breaking changes, and migrating from legacy patterns. It covers critical tasks such as converting XML to JSON, updating deprecated field usages (e.g., 'bestEmail' to 'workEmail'), and implementing robust testing and rollback strategies for seamless integration.

Provides comprehensive CRUD (Create, Read, Update, Delete) operations for managing tasks within ClickUp via the official API v2. This workflow allows users to automate task lifecycle management, including setting assignees, priorities, due dates, managing subtasks, and updating custom fields. Ideal for integrating task management into external automation scripts or internal business processes.