Combine prompts and files into AI model requests for insights.
npx skills add https://github.com/ai-in-pm/NemoClawd --skill oracle-ai-in-pm
Please help me install this Agent Skill. Skill: oracle Source: https://github.com/ai-in-pm/NemoClawd/tree/main/apps/clawdbot-main/skills/oracle Command: npx skills add https://github.com/ai-in-pm/NemoClawd --skill oracle-ai-in-pm
The Oracle Skill solves the problem of efficiently generating context-aware insights by combining your prompts and selected files with AI models.
Use the oracle --engine browser --model gpt-5.2-pro -p "Analyze the performance metrics" --file "src/performance/*.md" command to get insights on your performance metrics.
High-intent search queries and answers about installing and using this skill.
To generate AI insights from project files, you bundle your selected files and text prompts into a single request. The system processes this combined context using models like GPT-5.2 Pro or Claude via browser or API engines.
Yes, you can use models like GPT-5.2 Pro for long-form project management analysis. The tool supports both browser and API engines to process combined prompts and files for extended technical documentation tasks.
The best way to combine multiple markdown files with a prompt is using the file bundling feature with a command like `oracle --file "src/performance/*.md"`. This passes all matched files and your prompt directly to the AI model.
You can store and manage AI analysis sessions using the built-in sessions and slugs feature. This allows you to save your prompt and file bundle configurations for future reference and reuse.
Yes, prompt engineering with file bundling works with API engines. You can specify the engine in your command, such as `--engine api`, to process your combined files and prompts with your selected AI model.
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