Bundles prompts with selected files for AI analysis via browser or API.
npx skills add https://github.com/linuxhsj/openclaw-zero-token --skill oracle-linuxhsj
Please help me install this Agent Skill. Skill: oracle Source: https://github.com/linuxhsj/openclaw-zero-token/tree/main/skills/oracle Command: npx skills add https://github.com/linuxhsj/openclaw-zero-token --skill oracle-linuxhsj
This Skill streamlines the process of providing code context to AI models, enabling them to understand and analyze projects more effectively, reducing the need for manual context gathering.
Use the oracle skill to preview the token count for a task using files in the src directory.
High-intent search queries and answers about installing and using this skill.
You can bundle source files and prompts together for AI code analysis by using a CLI tool to package relevant project files and error messages into a single context-aware request, enabling models to understand project-specific information for debugging or refactoring.
Context bundling for prompt engineering is the process of packaging relevant source files with your prompt into a single request. It is needed when debugging complex issues, performing code reviews, or refactoring, allowing AI models to analyze project-specific information effectively.
Yes, you can execute AI model analysis through either browser-based web UI interaction or API-based execution. This engine flexibility allows you to choose between extended remote browser sessions or direct API calls for context-aware code understanding.
Yes, you need a specific CLI tool to preview token counts for AI code requests. This tool allows you to calculate the token size of your bundled prompt and selected files from directories before sending the request for analysis.
The best way to provide AI models with project-specific code context is to use a bundling tool that packages your prompt with selected source files and error messages into a single request, reducing the need for manual context gathering during code review.
Remote browser hosting for AI code analysis sessions is optionally supported for extended interactions, but the core functionality relies on the CLI tool. Browser-based execution provides web UI interaction, while API execution handles automated context bundling.
jason9693Bundle prompts and attachments for single-shot oracle CLI runs.
Khang5687Bundle prompts and files into a single request for code review.
NJX-njxBundle prompts with source files for AI code review tasks.
johnlindquistBundles code files into AI-ready context with a 49k token limit.
