Conditional Request Helper

What it does

The Conditional Request Helper skill allows an AI agent to dynamically adjust its requests based on the context of a previous response. It can modify subsequent prompts by adding, removing, or altering elements depending on conditions met in prior interactions. This enables more nuanced and adaptive conversations with the AI agent.

When to use it

• Complex workflows: When an AI needs to perform multiple steps where each step depends on the outcome of the previous one (e.g., generating a report, then creating a presentation based on that report).
• Dynamic content generation: If you need the AI to generate different types of content depending on user input or data analysis results.
• Adaptive tutorials: To tailor instructions and explanations based on a learner’s progress and understanding.
• Iterative design processes: When refining designs or prototypes through multiple rounds of feedback and modification.

Key capabilities

• Conditional prompt modification
• Dynamic request adjustment
• Context-aware responses

Example prompts

• "First, summarize this article. Then, if the summary mentions 'climate change', generate a list of related research papers."
• "Write a Python function to sort a list. If the function has errors, provide debugging suggestions."
• “Create an outline for a blog post about gardening. If the outline includes more than 5 sections, reduce it to 3.”

Tips & gotchas

The skill relies on clear and specific conditional logic within your prompts. Ensure that the conditions are easily identifiable by the AI agent to ensure accurate prompt adjustments.