oracle

Bundle prompts and selected files into a single contextual request.

1|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/Zentin-L/Masterbot --skill oracle-zentin-l
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/Zentin-L/Masterbot/tree/main/skills/oracle
Command: npx skills add https://github.com/Zentin-L/Masterbot --skill oracle-zentin-l

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Oracle bundles your prompt + selected files into one “one-shot” request so a model can answer with repository context (API or browser automation). Treat output as advisory: verify against code + tests.

Core Features & Use Cases

  • Bundle prompts with a selected file set to create a contextual, code-aware request for models.
  • Attach files via --file patterns, with support for inclusion/exclusion and size limits.
  • Switch between API and browser execution modes and reuse stored sessions for long-running tasks.

Quick Start

Bundle your project files with a task description using oracle to obtain a contextual model answer.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I bundle multiple project files into a single prompt for code review?▼

Bundle selected files into a single prompt by using --file patterns to include specific code, allowing the model to provide repository-aware answers. This consolidates your code context into one request.

What is prompt bundling for contextual model answers?▼

Prompt bundling combines your text prompt and selected project files into one request so a model can respond with repository-aware answers. It supports file inclusion, exclusion, and size limits.

Do I need to install an npm package to bundle prompts with file context?▼

Yes, you need the oracle CLI installed via the npm package @steipete/oracle to bundle prompts with file context. The Skill uses this binary to package your files and prompt into a contextual request.

Can I use API or browser execution modes for bundled code prompts?▼

Yes, you can choose between API and browser execution modes when running bundled code prompts. This allows you to reuse stored sessions for long-running tasks depending on your environment and model.

How do I exclude irrelevant files when bundling context for a model request?▼

You can exclude irrelevant files when bundling context by using specific --file patterns and size limits. This ensures only the necessary code is included in the final contextual request sent to the model.

Should I verify code review answers generated from bundled prompts?▼

Yes, you should treat output from bundled prompts as advisory and verify it against your code and tests. The model provides repository-aware answers based on the bundled context, but verification is essential.