What problem does it solve?
This Skill streamlines the process of providing context to language models by bundling prompts with relevant files, enabling more accurate and context-aware responses, especially for complex coding and documentation tasks.
Core Features & Use Cases
- Contextual Prompting: Combines natural language prompts with specific files or directories for LLM processing.
- File Bundling: Supports inclusion and exclusion of files using glob patterns, respecting
.gitignore.
- Engine Flexibility: Works with both API-based and browser-based LLM execution environments.
- Session Management: Allows for long-running tasks with session reattachment.
- Use Case: Debugging a complex issue in a large codebase by providing the relevant source files and error logs to an LLM for analysis and suggested fixes.
Quick Start
Use the oracle skill to preview the token count for a task involving all files in the src directory, excluding test files.