Bundles prompts and files into a single request for LLMs using GPT-5.2 Pro and browser engine.
npx skills add https://github.com/deepgram/dglabs-deepclaw --skill oracle-deepgram
Please help me install this Agent Skill. Skill: oracle Source: https://github.com/deepgram/dglabs-deepclaw/tree/main/skills/oracle Command: npx skills add https://github.com/deepgram/dglabs-deepclaw --skill oracle-deepgram
This Skill streamlines the process of bundling prompts and files into a single request, allowing models to provide context-rich responses with real repository context.
Use the oracle skill to analyze the code in 'src/**' and get a detailed explanation using GPT-5.2 Pro and browser engine.
High-intent search queries and answers about installing and using this skill.
To bundle prompts and files for long-context code analysis, this Skill combines them into a single request, allowing models to process real repository context and provide detailed explanations of code behavior.
The best way to analyze complex code snippets using a one-shot request is to combine prompts and files together. This method provides the model with full context, yielding insights into potential issues and code behavior.
Yes, you need GPT-5.2 Pro to use the oracle command-line tool for in-depth investigation. The Skill requires both this specific model and the command-line tool to bundle requests and execute long-context analysis.
Yes, you can use this Skill to get detailed explanations of code behavior across a whole directory. It supports long-context workflows, allowing you to analyze paths like 'src/**' to investigate complex code structures.
Limitations of one-shot requests for model context depend on the model's context window capacity. While this Skill supports long-context analysis, extremely large repositories might exceed processing limits, making selective file bundling necessary.
feiji77-2Package user prompts with codebase files for AI-driven code analysis.
koki3141Bundle prompt and code files into one request for model analysis.
steipeteBundle prompts and files into a single one-shot request for repository-context aware answers.
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