oracle

Name: oracle
Availability: InStock
Author: hlbbbbbbb

Explains oracle CLI usage for bundling prompts/files and managing sessions.

6|Updated Jan 22, 2026

Search Tags:#prompt engineering #ai development #browser automation #session management #code context #oracle cli

Ready to run

npx skills add https://github.com/hlbbbbbbb/No-worries --skill oracle-hlbbbbbbb

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/hlbbbbbbb/No-worries/tree/main/noworries_app/apps/desktop/skills/oracle
Command: npx skills add https://github.com/hlbbbbbbb/No-worries --skill oracle-hlbbbbbbb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users understand and effectively utilize the oracle command-line interface for bundling prompts with files, managing execution engines, and handling sessions for complex development tasks.

Core Features & Use Cases

Contextual Prompting: Combines user prompts with relevant code files for AI model processing.
Engine Selection: Supports different execution environments like browser automation or direct API calls.
Session Management: Allows reattaching to long-running or detached processes.
Use Case: Debugging a complex issue in a large codebase by providing the AI with specific source files and a detailed problem description.

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 code files with a prompt for AI-assisted development?▼

To estimate token counts before execution, run a dry run with the oracle CLI. This previews the token usage for your bundled prompts and files, helping you manage context limits before sending tasks to the AI model.

Can I execute AI prompts through browser automation?▼

Yes, you can execute AI prompts through browser automation by selecting the appropriate engine in the oracle CLI. Engine selection supports different execution environments, allowing you to route tasks via browser-based automation or direct API calls.

How do I manage long-running AI sessions and reattach to detached processes?▼

To manage long-running AI sessions and reattach to detached processes, use the oracle CLI session management features. This allows you to reconnect to active or background executions, ensuring continuous workflow without losing progress.

What are the safety best practices for contextual prompting with source files?▼

Safety best practices for contextual prompting advise against attaching secrets to your oracle CLI prompts. Additionally, you should promote a pattern for exhaustive prompt restoration to securely manage and recover your AI execution context.

Does the oracle CLI support manual output rendering?▼

Yes, the oracle CLI supports manual output rendering. This feature provides detailed command usage options that allow you to manually control how the AI model's generated output is processed and displayed after execution.