Neural is a powerful AI plugin for Vim and Neovim that uses OpenAI's models to generate code snippets, enhancing developer productivity. With support for multiple platforms, it streamlines coding tasks and integrates into existing workflows.
claude install dense-analysis/neuralhttps://github.com/dense-analysis/neural
["Install the Neural plugin in Neovim/Neovim following the [official installation guide](https://github.com/dense-analysis/neural.nvim#installation). Ensure you have an OpenAI API key configured.","Open a file in Neovim and position your cursor where you need code generation/editing. Use the command `:Neural` followed by your specific command (e.g., `:NeuralCode`, `:NeuralEdit`, `:NeuralDebug`).","For code generation, use the prompt template: `In my Neovim editor with the Neural plugin installed, write a Python function that calculates Fibonacci numbers up to n using memoization. Include type hints and docstring.`","For code editing, select the code block in visual mode and use `:NeuralEdit` with instructions like `Refactor this JavaScript function to use arrow functions and add JSDoc comments.`","Review the generated code carefully. Use `:NeuralDiff` to see changes before applying them to your file. Adjust your prompts for better results if needed.","Tip: Use the `:NeuralModels` command to switch between different OpenAI models (gpt-4o for quality, gpt-4o-mini for speed) based on your needs. Configure default settings in your Neovim config file."]
Generate boilerplate code for new projects to save time on setup.
Assist in writing complex functions by providing contextual suggestions.
Provide code explanations and clarifications to enhance understanding.
Automate repetitive coding tasks, reducing the manual effort required.
claude install dense-analysis/neuralgit clone https://github.com/dense-analysis/neuralCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
In my Neovim editor with the Neural plugin installed, [WRITE/EDIT/DEBUG/IMPLEMENT] a [PROGRAMMING_LANGUAGE] function that [TASK_DESCRIPTION]. Include inline comments explaining the logic and any assumptions. Use modern best practices for [PROGRAMMING_LANGUAGE] and ensure the code follows [STYLE_GUIDE] if applicable. Add unit test stubs for the main function using the [TEST_FRAMEWORK] framework.
```python
# File: src/utils/string_utils.py
# Description: Utility functions for string manipulation
# Created: 2024-05-15
# Author: AI Assistant
from typing import Optional
import re
def sanitize_input(input_str: str, max_length: int = 100) -> Optional[str]:
"""
Sanitizes user input by removing leading/trailing whitespace,
limiting length, and escaping HTML characters.
Args:
input_str: Raw user input string
max_length: Maximum allowed string length (default: 100)
Returns:
Sanitized string or None if input is empty after sanitization
Raises:
ValueError: If input_str exceeds max_length
"""
if not input_str:
return None
# Check length constraint
if len(input_str) > max_length:
raise ValueError(f"Input exceeds maximum length of {max_length} characters")
# Remove leading/trailing whitespace
sanitized = input_str.strip()
# Escape HTML characters to prevent XSS
sanitized = re.sub(r'[<>&"\']', lambda m: {
'<': '<',
'>': '>',
'&': '&',
'"': '"',
"'": '''
}[m.group(0)], sanitized)
return sanitized if sanitized else None
# Unit test stubs using pytest
# File: tests/test_string_utils.py
# To run: pytest tests/test_string_utils.py -v
# def test_sanitize_input_empty_string():
# assert sanitize_input("") is None
# def test_sanitize_input_normal_string():
# assert sanitize_input(" Hello World ") == "Hello World"
# def test_sanitize_input_html_escaping():
# assert sanitize_input("<script>alert('xss')</script>") == "<script>alert('xss')</script>"
# def test_sanitize_input_length_exceeded():
# with pytest.raises(ValueError):
# sanitize_input("a" * 101)
```
```lua
-- File: lua/plugins/config.lua
-- Description: Neovim plugin configuration
-- Created: 2024-05-15
-- Author: AI Assistant
local M = {}
--- Configure the Neural plugin with custom settings
---@param opts table Configuration options
function M.setup(opts)
opts = opts or {}
-- Enable code completion
vim.g.neural_enable_completion = true
-- Set default model (gpt-4o for balance of speed and quality)
vim.g.neural_default_model = "gpt-4o"
-- Configure context window size
vim.g.neural_context_window = 4096
-- Set custom prompt template for code generation
vim.g.neural_prompt_template = [[
You are an expert {language} developer. Write clean, efficient code following these guidelines:
1. Use modern {language} features
2. Include type hints where applicable
3. Add JSDoc/Docstring comments
4. Follow {style_guide} style guide
5. Add error handling
Task: {task_description}
File context:
{file_context}
]]
-- Enable streaming responses for large outputs
vim.g.neural_streaming = true
-- Configure keybindings
vim.keymap.set('n', '<leader>nc', '<cmd>NeuralCode<cr>', {desc = "Generate code with Neural"})
vim.keymap.set('v', '<leader>nc', '<cmd>NeuralCode<cr>', {desc = "Generate code with Neural"})
end
return M
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