Bundle prompts with selected files and directories for AI model context.
npx skills add https://github.com/gensparx/GenSparx --skill oracle-gensparx
Please help me install this Agent Skill. Skill: oracle Source: https://github.com/gensparx/GenSparx/tree/main/skills/oracle Command: npx skills add https://github.com/gensparx/GenSparx --skill oracle-gensparx
This Skill streamlines complex development tasks by bundling prompts with relevant code and documentation, enabling AI models to provide context-aware solutions and insights.
Use the oracle skill to preview the token count for a dry run of the prompt "Refactor the user authentication module" targeting all files in the src directory, excluding test files.
High-intent search queries and answers about installing and using this skill.
You can bundle prompts with selected files and directories to provide AI models with context for code analysis. This approach supports prompt engineering by attaching relevant source files, error logs, and project structure to generate accurate debugging solutions.
The best way to debug complex code issues using AI context is to bundle the relevant source files, error logs, and project structure with your prompt. This allows the AI to pinpoint the root cause and suggest an accurate fix based on the provided context.
Yes, you need a CLI tool to bundle project files for AI code analysis. The execution requires the 'oracle' CLI tool to manage file attachment patterns, session management, and prompt templating for both API and browser engines.
Yes, you can preview token counts by performing a dry run of your prompt. This allows you to estimate the context size for tasks like refactoring a module, ensuring your selected files and directories fit within the AI model's limits.
File attachment pattern matching works by allowing you to target specific files and directories for AI context while excluding others. You can attach all files in a source directory, exclude test files, and bundle them with prompts using session management features.
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