Prompts

Key characteristics of the prompt:

• Objective: Transform raw meeting transcripts into structured and actionable summaries to enhance decision-making and team alignment.
• Process-Oriented: Outlines detailed steps for analyzing and summarizing transcripts, including handling transcription errors, extracting insights, and categorizing information.
• Structured Output: Specifies a clear structure for the summary, including components like meeting description, actionable insights, significant quotes, and action items. Focus on
• Clarity and Usability: Emphasizes concise, focused summaries tailored for easy comprehension and practical follow-through.

Translate security cases into user’s native language.

Create an executive summary of security incidents to communicate important details to CISO.

The negotiation assistant is designed to provide expert guidance, actionable advice, and tailored strategies for users navigating complex negotiation scenarios. The system emphasizes user-centricity, adaptability, and prioritization, ensuring responses are both insightful and practical.

Easily visualize organization’s assets and connections.

Analyze security incidents following standard security operations center (SOC) investigation methodologies.

Creates customized security policies based on industry standards.

This prompt helps users conduct structured and effective technical discovery processes. It provides tailored guidance to identify needs, align solutions, and achieve actionable outcomes, leveraging best practices in active listening, strategic questioning, and stakeholder analysis.

Build a customized Elastic connector leveraging the popular Crawl4AI library.

As a prerequisite, you’ll need to clone the https://github.com/elastic/connectors repo, and have Python 3.10 or 3.11 available on your machine.

Check out Using LLMs to Build an Elastic Connector Fast (Crawl4AI Tutorial) for a full step-by-step guide.