oracle

Bundle prompts with selected files or directories for code and document analysis.

5.5k|641|Updated May 29, 2020
One-click install
npx skills add https://github.com/the-open-agent/openagent --skill oracle-the-open-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/the-open-agent/openagent/tree/main/skills/oracle
Command: npx skills add https://github.com/the-open-agent/openagent --skill oracle-the-open-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of bundling prompts and files to enable AI models to provide contextual code and document insights efficiently.

Core Features & Use Cases

  • Prompt Bundling and File Integration: Combines prompts with selected files or directories for precise AI responses.
  • Scope of Application: Ideal for code review, documentation analysis, or project comprehension tasks.
  • Use Case: Use oracle --dry-run summary to preview token usage and select relevant files before executing full analysis commands.

Quick Start

Use the oracle skill to bundle your project files with a detailed prompt for code review.

Frequently Asked Questions about oracle

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I bundle prompts with specific files for AI code review?

To bundle prompts with specific files for AI code review, you combine a detailed prompt with selected files or directories. This integration ensures the AI model receives the necessary codebase context to generate precise contextual insights and document analysis.

Can I preview token usage before running a full project analysis?

Yes, you can preview token usage before executing a full project analysis by using a dry-run command. This allows you to estimate resource consumption and safely select relevant files before running the actual code and document analysis.

What is the best way to analyze project documentation using AI?

The best way to analyze project documentation using AI is to bundle your analysis prompts directly with the targeted document directories. This approach streamlines project comprehension by providing the AI with integrated contextual scope for efficient research.

Does file bundling for code review support session reattachment?

Yes, file bundling for code review supports session reattachment. This feature ensures safe and efficient interactions by allowing you to resume previous contextual codebase analysis sessions without losing your prior prompt and file integration configurations.

How do I get contextual insights within a large codebase?

To get contextual insights within a large codebase, you bundle your selected project files with a detailed prompt for code review. This targeted file integration helps developers efficiently comprehend complex project structures and dependencies.