Morph Search

What it does

The morph-search skill allows an AI agent to iteratively refine search queries based on initial results. It can take a broad starting point and progressively narrow down the scope, incorporating new terms or adjusting phrasing as needed. This is particularly useful when exploring complex topics where the ideal keywords are initially unknown.

When to use it

• Researching unfamiliar topics: Use it when you need to learn about something but aren't sure what search terms will be most effective.
• Finding specific information within a large dataset: If initial searches yield too many irrelevant results, morph-search can help focus the query.
• Exploring nuanced concepts: When dealing with ideas that have multiple interpretations or related terminology, this skill helps discover all relevant aspects.
• Generating content ideas: Start with a general topic and let the agent refine the search to uncover unique angles and potential content directions.

Key capabilities

• Iterative query refinement
• Incorporation of new terms based on initial results
• Adjustment of phrasing for improved precision
• Broad starting point support

Example prompts

• "Research the history of artificial intelligence."
• "Find information about sustainable agriculture practices, but start with a broad search and refine as needed."
• "I want to learn about quantum computing; begin with a general overview and then explore specific applications."

Tips & gotchas

The skill's effectiveness depends on the agent’s ability to interpret initial results and identify relevant terms for refinement. Providing some context or desired outcome can help guide the iterative search process.