Agent skill · software engineering · jeremylongshore
building-neural-networks
Execute this skill allows AI assistant to construct and configure neural
Why this skill is useful
Adds executable commands for building and configuring neural networks that extend AI capabilities beyond general knowledge.
What it needs
Requires neural-network-builder installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
Neural Network Builder Design and construct neural network architectures with configurable layers, activation functions, and training parameters for tasks like classification, generation, and sequence modeling. Overview This skill empowers Claude to design and implement neural networks tailored to specific tasks. It leverages the neural-network-builder plugin to automate the process of defining network architectures, configuring layers, and setting training parameters. This ensures efficient and accurate creation of neural network models. How It Works 1. Analyzing Requirements: Claude analyzes the user's request to understand the desired neural network architecture, task, and performance goals. 2. Generating Configuration: Based on the analysis, Claude generates the appropriate configuration for the neural-network-builder plugin, specifying the layers, activation functions, and other relevant parameters. 3. Executing Build: Claude executes the build-nn command, triggering the neural-network-builder plugin to construct the neural network based on the generated configuration. When to Use This Skill This skill activates when you need to: Create a new neural network architecture for a specific machine learning task. Modify an existing neural network's layers, parameters, or training process. Design a neural network using specific layer types, such as convolutional, recurrent, or transformer layers. Examples Example 1: Image Classification User request: "Build a convolutional neural network for image classification with three convolutional layers and two fully connected layers." The skill will: 1. Analyze the request and determine the required CNN architecture. 2. Generate the configuration for the build-nn command, specifying the layer types, filter sizes, and activation functions. Example 2: Text Generation User request: "Define an RNN architecture for text generation with LSTM cells and an embedding layer." The skill will: 1. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/building-neural-networks