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oracle

Bundle prompts with selected files using glob inclusion and exclusion patterns.

4|2|Updated Feb 26, 2026
Search Tags:#documentation#context#cli#ai#code#prompting
One-click install
npx skills add https://github.com/Clawdi-AI/openclaw --skill oracle-clawdi-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/Clawdi-AI/openclaw/tree/main/skills/oracle
Command: npx skills add https://github.com/Clawdi-AI/openclaw --skill oracle-clawdi-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of providing relevant context to AI models for code analysis and documentation tasks, ensuring more accurate and context-aware responses.

Core Features & Use Cases

  • Contextual Prompting: Bundles prompts with selected files for AI processing.
  • File Attachment: Supports including files, directories, and globs with exclusion patterns.
  • Use Case: When debugging a complex issue, use Oracle to bundle your source code files and error logs into a single request for an AI to analyze 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 bundle source code files and error logs for AI analysis?▼

Including project context in AI prompts ensures more accurate and context-aware responses by bundling relevant source code and documentation directly with your request for the AI model to process.

Can I use glob patterns to exclude specific files from AI context?▼

You can exclude specific files from AI context using glob exclusion patterns when attaching directories, allowing precise control over which files are bundled into the prompt for processing.

Do I need specific engine configurations to process code context with AI?▼

Processing code context with AI requires specific engine configurations like API or browser setups, and session management is necessary for handling long-running analytical tasks.

How do I preview token counts for files before sending context to an AI model?▼

Preview token counts for files before sending context to an AI model by running the skill against your selected directory, estimating the total size of the bundled prompt and attached files.

What is the best way to provide relevant project context to AI for documentation tasks?▼

Providing relevant project context to AI for documentation tasks involves bundling selected documentation files and source code into a single request, ensuring the AI generates accurate and context-aware documentation.

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