identify-method-gaps

What problem does it solve?

Researchers often receive tables of surveyed methods but lack guidance on where the literature has not explored, leading to missed opportunities for innovation.

Core Features & Use Cases

• Axis Extraction: Parses method attributes to define axes of variation such as mechanism, assumption, and objective.
• Gap Identification: Detects sparse regions, unrelaxed assumptions, and plausible yet untried method combinations.
• Ranking: Scores each gap on feasibility, novelty, and payoff, producing a prioritized shortlist.
• Use Case: When evaluating offline reinforcement‑learning papers, this skill highlights unexplored constraint‑based mechanisms or non‑i.i.d. data assumptions for further research.

Quick Start

Ask the identify-method-gaps skill to analyze the provided method table and return the top research gaps in JSON format.