Bundle natural language prompts with specified files into single AI requests.
npx skills add https://github.com/brianwan19801015/labopenclaw --skill oracle-brianwan19801015
Please help me install this Agent Skill. Skill: oracle Source: https://github.com/brianwan19801015/labopenclaw/tree/main/skills/oracle Command: npx skills add https://github.com/brianwan19801015/labopenclaw --skill oracle-brianwan19801015
This Skill streamlines the process of providing AI models with relevant context by bundling prompts with selected files, enabling more accurate and context-aware responses.
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.
To bundle multiple files for AI context, you combine natural language prompts with specified directories or globs into a single request. This contextual bundling ensures AI models receive all relevant code and configuration needed for accurate analysis.
Yes, you can perform a dry run to preview the token count for your task. This feature helps you select the minimal set of files needed, optimizing token usage before executing the actual API request.
When bundling code context, you use file inclusion and exclusion patterns to filter directories. This efficient context management ensures only relevant source files are passed to the AI model, preventing token overflow.
Yes, prompt bundling supports both API and browser-based execution engines. It also offers session management options to maintain state across multiple contextual file bundling requests during complex code analysis.
The best way to provide code context for debugging is bundling your error message, relevant source files, and configuration into one request. This facilitates context-aware AI interactions for tasks requiring deep codebase analysis.
Bundling files and prompts streamlines context provision by selecting minimal necessary files, optimizing token usage. Manual pasting often misses dependencies, whereas bundling ensures complete, context-aware AI responses for complex tasks.
elizaOSBundle prompts with selected files and directories into a single LLM request.
garagonExecute Playwright browser, API, and CLI quality assurance with screenshot evidence.
hjemmesidekongenRefine vague prompts into structured instructions using RSCIT, RTF, RISEN, RODES, and CoT frameworks.
jonnymuirCompress agent history files and prune stale logs in the .squad/ directory.
