Skill UI

This utility is designed to build reusable, composable command-line scripts for interacting with the Hugging Face API and the `hf` command line tool. It enables complex data workflows by supporting chaining, piping, and intermediate processing across models, datasets, and repositories, streamlining the automation of Hub tasks.

This skill provides expert guidance on applied behavioral science for marketing. It helps users analyze conversion roadblocks, optimize pricing, and improve copywriting by applying 70+ established psychological principles and mental models. Ideal for CRO specialists, marketers, and product managers seeking data-backed, psychologically informed strategies.

MolyKit is a comprehensive toolkit designed for building robust, cross-platform AI chat applications. It provides core utilities for integrating large language models (LLMs) like OpenAI, handling real-time SSE streaming responses, and managing complex cross-platform asynchronous patterns (PlatformSend, spawn()). The kit includes ready-to-use widgets for messages, prompt inputs, and avatars, making it ideal for developers creating sophisticated, multilingual chat experiences.

Monte Carlo Treasury is a risk modeling helper that simulates cash flows and liquidity scenarios for corporate treasuries using Monte Carlo techniques, so finance teams can assess funding needs, stress-test portfolios, and optimize capital buffers.

Guides writing and running Odoo TransactionCase, HttpCase, and browser-tour tests, covering setup, tagging, and CLI commands so you can add CI-friendly automation for models and controllers.

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.

This guide provides expert knowledge on interacting with Odoo's external JSON-RPC and XML-RPC APIs. Learn how to handle authentication, perform model calls, and execute CRUD operations (Create, Read, Update, Delete) using practical examples in Python, JavaScript, and cURL. Ideal for building middleware or robust data synchronization tools.

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.

This skill outlines a comprehensive methodology for designing, building, and deploying robust LLM-powered applications. It covers assessing task-model fit, designing modular pipelines (acquire -> prepare -> process -> parse -> render), and managing state using file systems to ensure scalability and reliability in AI systems.

PyMC is a powerful Python library for probabilistic programming and advanced Bayesian inference. This comprehensive guide details the full workflow for building, fitting, and validating complex Bayesian models. Learn to implement hierarchical structures, perform MCMC sampling (NUTS), conduct posterior predictive checks (PPC), and effectively quantify uncertainty using industry best practices.

Placeholder skill entry for risk modeling workflows that outlines basic analytics and scenario planning used to quantify potential losses and guide mitigation decisions.

This sophisticated framework enables cross-functional 'what-if' scenario modeling. Unlike simple stress tests, it maps compounding adversity across all business domains (Finance, Product, Engineering, etc.). Use it when facing complex, multi-variable risks or making strategic decisions with significant downside potential, allowing teams to map cascading failure paths and define proactive hedges.