Bundle prompts with selected files and directories for LLM context.
npx skills add https://github.com/FatBy/DD-OS --skill oracle-fatby
Please help me install this Agent Skill. Skill: oracle Source: https://github.com/FatBy/DD-OS/tree/main/skills/oracle Command: npx skills add https://github.com/FatBy/DD-OS --skill oracle-fatby
This Skill streamlines the process of providing relevant code context to LLMs for tasks like code generation, debugging, and analysis, by intelligently bundling prompts with selected files.
Use the oracle skill to preview the token count for a task involving all files in the src directory.
High-intent search queries and answers about installing and using this skill.
You can bundle code files into LLM context by using a CLI to attach specified files and directories to your prompt. This packages your code and instructions together for code generation, debugging, or analysis tasks.
Providing LLM context for debugging a large codebase is best done by bundling error messages and relevant source files into a single request. This approach ensures the LLM analyzes the specific code alongside the issue.
Yes, you can preview token usage before sending code context to an LLM. The CLI supports token count previewing, allowing you to estimate the size of your bundled prompt and attached files before execution.
Yes, this CLI supports both API and browser automation engines for LLM tasks. This engine flexibility allows you to choose between direct API calls and browser-based execution depending on your workflow needs.
You can attach files using globs when bundling prompts for code analysis by specifying glob patterns in the CLI. This allows you to selectively include multiple files and directories that match your desired code context.
Yes, you need to install and configure the 'oracle' binary to manage LLM sessions and code context. This binary is required for engine execution and enables features like session management and context bundling.
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