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oracle

Bundle prompts with project files for AI-driven code analysis and problem-solving.

36|2|Updated Feb 9, 2026
Search Tags:#developer tools#code analysis#debugging#prompt engineering#ai#llm
One-click install
npx skills add https://github.com/malue-ai/dazee-small --skill oracle-malue-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/malue-ai/dazee-small/tree/main/skills/library/oracle
Command: npx skills add https://github.com/malue-ai/dazee-small --skill oracle-malue-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex coding tasks by providing AI models with precise project context, enabling them to understand codebases, suggest solutions, and generate accurate outputs based on your specific files and prompts.

Core Features & Use Cases

  • Contextual AI Analysis: Bundles prompts with selected files for AI models to provide context-aware answers.
  • Efficient File Selection: Supports glob patterns and exclusion rules for precise file inclusion.
  • Use Case: Debugging a complex issue by providing the AI with relevant source files and error logs to pinpoint the problem and suggest a fix.

Quick Start

Use the oracle skill to preview the token count for a task using all files in the src directory.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I provide project context to an LLM for code analysis?▼

To provide project context for code analysis, you bundle your specific prompts with selected project files. This enables context-aware AI generation, debugging, and refactoring by ensuring the LLM understands your exact codebase.

How do I manage token usage when sending source files to an AI model?▼

You can manage token usage for AI models by previewing the token count for a task before execution. The tool supports glob patterns and exclusion rules to precisely control file inclusion and optimize token consumption.

Can I use glob patterns to select specific files for AI-driven debugging?▼

Yes, you can use glob patterns and exclusion rules for efficient file selection during AI-driven debugging. This allows you to attach only the relevant source files and error logs needed to pinpoint and fix complex issues.

What is the best way to bundle error logs and source files for AI code generation?▼

The best way to bundle error logs and source files for AI code generation is to use a tool that manages file attachments and session state. This ensures the AI receives the precise project context needed for accurate solutions.

Does browser-based LLM interaction work with local project files?▼

Yes, browser-based LLM interaction works with local project files by managing file attachments and session state. This facilitates efficient development workflows directly through your browser without requiring complex API setups.

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