Bundle prompts and selected files into a single AI request.
npx skills add https://github.com/xxrenzhe/autobb --skill oracle-xxrenzhe
Please help me install this Agent Skill. Skill: oracle Source: https://github.com/xxrenzhe/autobb/tree/main/openclaw-prebuilt/skills/oracle Command: npx skills add https://github.com/xxrenzhe/autobb --skill oracle-xxrenzhe
This Skill streamlines the process of providing AI models with relevant code context by bundling prompts with selected files, enabling more accurate and context-aware responses.
Use the oracle skill to preview the token count for the task 'refactor the user service' with all files in the src directory.
High-intent search queries and answers about installing and using this skill.
To provide code context to an AI model, you bundle prompts and selected files into a single request. This enables the AI to process repository context for accurate and context-aware responses.
The best way to bundle source files and error logs is by combining your debugging prompt with the relevant files into one request. This allows the AI to analyze the context and pinpoint complex problems effectively.
Yes, you can preview the token count before sending files and prompts to an AI. You can check the token count for a specific task and directory, such as refactoring a user service with all files in the src directory.
Yes, this code context bundling approach supports both API and browser automation. This allows you to perform tasks requiring in-depth code understanding and analysis through your preferred interaction method.
You need to manually select files when prompting an AI because specific file selection and prompt engineering are required for optimal results. This ensures the AI only processes the relevant repository context.
DbillionaerBundle user prompts with selected project files for AI code generation.
linuxhsjBundles prompts with selected files for AI analysis via browser or API.
mia-cxIntegrate Claude API using Anthropic SDKs across multiple programming languages.
brikkoAIBundle repository files and prompts into a single request for second AI models.
