by aerugo · Agent Tool · ★ 155
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Prelude is a tool that helps you quickly generate context prompts for large-language models (LLMs). It’s especially handy when you want the LLM to analyze or improve code that spans multiple files and directories. Prelude is a single file shell script that works on macOS, Linux, and Windows (via WSL), and is well suited for use in CI/CD pipelines or environments where you cannot install additional software. Prelude creates a prompt by: Listing the file tree (including subdirectories, hidden files, and even binary files). Concatenating the contents of text files (skipping binary files) into one consolidated text block. By default, Prelude copies this final prompt to your clipboard. You can also save it to a file or choose to display it in your terminal. Usage Options: Include files from a specific relative path (can be used multiple times). If omitted, Prelude uses the current directory. Save the generated prompt to this file. If not specified, the prompt is only copied to the clipboard (and displayed in non-interactive modes). Only include files that match the given patterns. Use to separate multiple patterns (e.g., ). Matching is case-insensitive by default. -X <exclude
| Stars | 155 |
| Forks | 11 |
| Language | Shell |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.1130423844334/100 |
| Last Updated | 2025-07-17 |
| Created | 2024-07-19 |
| Platforms | cli |
| Est. Tokens | ~3k |
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prelude is A very simple tool to build LLM prompts from your code repositories.. It is categorized as a Agent Tool with 155 GitHub stars.
prelude is primarily written in Shell.
You can find installation instructions and usage details in the prelude GitHub repository at github.com/aerugo/prelude. The project has 155 stars and 11 forks, indicating an active community.
prelude is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to prelude on Agent Skills Hub include claude-forge, excalidraw-diagram-skill, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.