Research Methodology Framework FAQs

Question 1

Does it scale based on the complexity of my question?

Accepted Answer

Yes. It classifies queries into Simple, Moderate, or Complex levels, automatically adjusting the number of research workers and searches per worker to match the required depth.

Question 2

What are Research Anti-Patterns?

Accepted Answer

Anti-patterns are common mistakes such as over-decomposition (creating too many subtopics for simple tasks), plan rigidity (failing to adapt to new evidence), and circular decomposition. This skill identifies and provides fixes for these behaviors.

Question 3

Why is decomposition necessary for AI research?

Accepted Answer

Research shows a 'compositionality gap' where LLMs can answer sub-questions correctly but fail to combine them into complex answers. Decomposition bridges this gap by breaking tasks into manageable, verifiable steps.

Question 4

What research strategies does this skill support?

Accepted Answer

It supports various academic and industry-standard strategies including Self-Ask for multi-hop facts, Parallel decomposition for independent facets, Iterative discovery for exploratory tasks, and DAG-based decomposition for interdependent sub-questions.

Question 5

How does it determine when to stop researching?

Accepted Answer

The skill uses a multi-signal approach, stopping when at least three of five criteria are met: plan completion, diminishing returns, budget limits, gap checks, and sufficiency judgments.

Research Methodology Framework

Research Methodology Framework

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