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oracle

Bundle prompts with selected files and directories into a single request.

93|20|Updated Jan 31, 2026
Search Tags:#automation#developer tools#prompt engineering#llm#code context#cli tool
One-click install
npx skills add https://github.com/seedprod/openclaw-prompts-and-skills --skill oracle-seedprod
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/seedprod/openclaw-prompts-and-skills/tree/main/.claude/skills/oracle
Command: npx skills add https://github.com/seedprod/openclaw-prompts-and-skills --skill oracle-seedprod

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of providing relevant context to language models by bundling prompts with specific files, enabling more accurate and context-aware responses, especially for complex coding and development tasks.

Core Features & Use Cases

  • Contextual Bundling: Combines prompts with selected files, directories, and globs for comprehensive model input.
  • Engine Flexibility: Supports both API-based and browser-based execution engines for diverse use cases.
  • Use Case: When debugging a complex issue in a large codebase, use Oracle to bundle your error message, relevant source files, and configuration files into a single request for a powerful LLM to analyze.

Quick Start

Use the oracle skill to preview the token count for a task involving all files in the src directory, excluding test files.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I bundle multiple files and prompts for LLM context?▼

Bundling prompts with files for model context involves combining selected directories and globs into a single request. This streamlines providing relevant code context to language models for accurate debugging and refactoring.

What is the best way to provide code context to a language model for debugging?▼

Providing code context for debugging requires bundling error messages and relevant source files into a single request. This gives language models comprehensive input for accurate, context-aware analysis.

Can I use globs to include or exclude files when bundling context?▼

Yes, globs support file inclusion and exclusion when bundling context. This filters specific files within directories, ensuring only relevant code is packaged into the model request.

Does file bundling for LLMs support both API and browser automation workflows?▼

File bundling for LLMs supports both API-based and browser-based execution engines. This engine flexibility facilitates diverse automation workflows for code generation and refactoring tasks.

How do I preview token count before sending a bundled prompt to an LLM?▼

Previewing token count before sending a bundled prompt uses detailed payload previewing. This evaluates the bundled files and prompts to estimate the request size for the language model.

How does session management work for long-running code refactoring tasks?▼

Session management for long-running code refactoring tasks maintains state across extended automation workflows. This handles persistent context when bundling files and directories for complex language model processing.

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