Skill UI

A comprehensive guide covering best practices for unit and integration testing, including Test-Driven Development (TDD) and Behavior-Driven Development (BDD). This guide details factory functions for creating reusable mock data and props, advanced mocking strategies for modules and hooks, and custom rendering utilities, ensuring tests are maintainable and reliable in React/TypeScript environments.

Automate Zoho CRM tasks through Composio’s Rube MCP toolkit: connect via RUBE_MANAGE_CONNECTIONS, search modules, and run workflows for searches, record creation, updates, conversions, and tagging with schema-aware parameters.

Provides the official Opentrons Protocol API v2 integration for OT-2 and Flex robots, enabling Python-based automation of liquid handling, module control, labware setup, pipetting flows, and protocol testing before execution.

PyTorch Lightning Toolkit streamlines PyTorch model training by organizing LightningModules, LightningDataModules, Trainer configs, callbacks, logging, and distributed strategies for scalable multi-GPU/TPU runs in research or production workflows.

Use this guide to build and manage Expo development clients using EAS Build. This is the recommended setup for production-grade testing, allowing developers to test custom native code, local modules, and advanced features that exceed Expo Go's capabilities. It covers local builds, TestFlight submission, and connecting to the Metro bundler.

Leverages Monte Carlo-based simulation to spot potential software vulnerabilities by feeding randomized inputs into modules, tracking failure likelihoods, and highlighting risky code paths for security testing.

This skill is intended for managing the Japanese translation and localization of the core nanoclaw-repl module. The current content serves as a placeholder, indicating that the Japanese translation is actively under development. Users are advised to refer to the original English source file for the full and functional version of the skill.

Provides a brief overview placeholder for the Numpy skill, indicating the module while noting that the detailed information could not be retrieved from the manifest.

Guides migrating custom Odoo modules from v14 through v17, highlighting API, view, and field changes with before/after fixes, checklists, and validation tips for safe upgrades.

Guides building custom Odoo modules by scaffolding manifests, models, views, and security rules, reviewing existing code, and applying ORM best practices across Community and Enterprise editions.

Helps craft precise ir.model.access.csv lines and ir.rule record rules for Odoo, debug access denials, and enforce scoped or multi-company visibility for modules.

A comprehensive technical module covering foundational deep learning principles and cutting-edge computer vision architectures, drawing from Yann LeCun's research. Topics include CNN fundamentals, backpropagation theory, and advanced self-supervised learning (SSL) models such as SimCLR, MAE, and the modern Joint Embedding Predictive Architecture (JEPA). Provides detailed theoretical explanations and complete PyTorch code for implementation.