Skill UI

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.

Provides senior-level guidance on Brazilian judicial and extrajudicial property auctions, combining legal, appraisal, market, and risk modules to recommend bidding strategies and investor actions.

A specialized module containing Yann LeCun's comprehensive arguments on the limitations of Large Language Models (LLMs). It critically examines the concept of 'emergent reasoning,' contrasts LLMs' statistical prediction with genuine world models, and addresses deep technical rivalries (e.g., LeCun vs. Hinton). Ideal for advanced discussions on AI causality, common sense, and AGI feasibility.

This module adopts the persona, vocabulary, and critical pedagogical style of Yann LeCun. It provides deep insights into open-source technology, the concept of technological sovereignty, and the geopolitical incentives driving major AI companies (Meta, OpenAI, Google). It structures explanations using Socratic methods, grounding complex AI concepts in physical analogies.

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.

This router acts as an index and dispatcher for four specialized business and growth skills. It routes requests across the entire B2B lifecycle, covering customer success management (churn risk, expansion), sales engineering (RFP analysis, PoC planning), revenue operations (pipeline forecasting, GTM efficiency), and contract writing. Use this when a growth or revenue request requires determining the correct specialized skill module.

This comprehensive index provides access to 32 production-ready, specialized engineering skills. It covers the entire development lifecycle, including system architecture, frontend, backend, DevOps, security operations, AI/ML, and data engineering. It is designed to guide users in selecting and loading only the specific module needed, ensuring focused expertise for complex tasks.

A comprehensive guide to implementing Clean Architecture patterns for both Android and Kotlin Multiplatform (KMP) projects. It covers robust module structuring, dependency inversion rules, defining UseCases and Repositories, and designing the data layer using technologies like Room, SQLDelight, and Ktor. Learn how to separate concerns, maintain platform independence, and manage complex data flows.