oracle

Bundle prompts and selected repository files into a single context package.

5|Updated Jan 31, 2026

Search Tags:#cli #oracle #prompt bundling #file attachments #session reattachment #browser engine

Ready to run

npx skills add https://github.com/kcns008/clusterclaw --skill oracle-kcns008

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/kcns008/clusterclaw/tree/main/skills/oracle
Command: npx skills add https://github.com/kcns008/clusterclaw --skill oracle-kcns008

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Oracle helps you turn a prompt plus the right files into a single, high-context request so another model can analyze a repository with far less guesswork.

Core Features & Use Cases

Prompt and file bundling: Combine instructions with selected source files, docs, and config so the analysis has the needed context.
Engine selection: Use browser or API workflows depending on whether you want long-form reasoning, automation, or model flexibility.
Session management: Reattach to stored runs instead of restarting when a browser-based request detaches or takes a long time.
Use case: Ask it to investigate a bug, review an architecture question, or generate a patch plan from a focused set of repository files.

Quick Start

Use oracle to bundle your prompt with the most relevant repository files and ask it to analyze the issue using the browser engine.

Frequently Asked Questions about oracle

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

FAQPage Schema

How do I bundle repository files with a prompt for external model analysis?▼

To bundle repository files with a prompt, combine your instructions with selected source files and config into a single context package. This creates a high-context request for accurate external-model analysis, reducing guesswork during bug triage or architecture reviews.

What is prompt bundling for repository investigation?▼

Prompt bundling for repository investigation is the process of packaging instructions alongside selected source files into one context package. It ensures an external model has the exact file context needed to analyze bugs, review architecture, or generate patch plans accurately.

How do I reattach to a stored browser session for a long-form analysis?▼

To reattach to a stored browser session, use the session management feature to reconnect to stored runs instead of restarting. This handles browser-based requests that detach or take a long time, preserving long-form reasoning progress.

Does prompt bundling require explicit file selection?▼

Yes, prompt bundling requires explicit file selection to ensure safe handling of attachments without exposing secrets. You must manually choose the relevant source files and config, and preview tokens before sending the context package to the model.

Can I use a browser engine or API for file-aware reasoning?▼

Yes, you can choose between a browser engine or API workflows for file-aware reasoning. Engine selection depends on whether you want long-form reasoning, automation, or model flexibility when analyzing repository files.

What are the limitations of bundling repository context?▼

Limitations of bundling repository context include the requirement for explicit file selection and token previewing to avoid exceeding limits. Safe handling of attachments demands manual secret redaction, and long browser-based runs may detach, requiring session reattachment.