oracle

Bundle prompts and chosen files into a single one-shot request.

2.8k|332|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/moltis-org/moltis --skill oracle-moltis-org
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/moltis-org/moltis/tree/main/crates/skills/src/assets/software-development/oracle
Command: npx skills add https://github.com/moltis-org/moltis --skill oracle-moltis-org

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bundling prompts and files into a single context to provide real repository insight to a model, reducing context-switching and manual assembly.

Core Features & Use Cases

  • Supports browser and API workflows for prompts, including session handling and robust file-attachment rules.
  • Provides default engine/model configurations and workflow guidance for typical software-development tasks.
  • Real-world use case: a developer bundles source files and prompts a model to understand code context for reviews or refactoring tasks.

Quick Start

Attach relevant project files using file patterns and run a browser or API workflow to generate a context-rich prompt.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I bundle source files and prompts into a single context for a model?

Bundle prompts and files into a single context by attaching relevant project files using file patterns. This generates a one-shot request providing real repository insight to a model for code reviews or refactoring tasks.

What is prompt bundling and when do I need it for software development tasks?

Prompt bundling is the process of combining your prompt and chosen files into a single one-shot request. You need it to provide real repository context to a model, reducing context-switching and manual assembly during development tasks.

Can I use this prompt bundling approach with both browser and API workflows?

Yes, prompt bundling supports both browser and API workflows. It handles session management, applies file-attachment rules, and configures default engine and model settings for typical software-development tasks.

What's the best way to provide repository context to an AI for a code review?

The best way to provide repository context is bundling your prompt and chosen source files into a single one-shot request. This ensures the model receives actual code context for reviews or refactoring without manual assembly.

Do I need to configure engine and model defaults before bundling files?

You do not need to manually configure engine and model defaults before bundling files. The skill provides default engine and model configurations automatically as part of its workflow guidance for typical development tasks.