fiction-autoresearch-loop

What problem does it solve?

This Skill automates the process of running structured feedback and improvements on fiction drafts through benchmarks and multiple variant testing.

Core Features & Use Cases

• Benchmarking: Establishes a baseline evaluation of a fiction draft according to specific metrics.
• Variant Generation: Creates multiple hypothesis-driven variations to test different narrative assumptions or structural changes.
• Record-Keeping and Analysis: Tracks all decisions, scores, and revisions to facilitate iterative storytelling improvements.
• Use Case: An author wanting to improve a chapter by testing structural vs prose edits can set up variants, compare scores, and choose the best version systematically.

Quick Start

Use the fiction-autoresearch skill to evaluate, generate, and compare variant iterations of your current story segment.