story-long-scan

Cross-platform scanning analyzes ranking data from Qidian, Fanqie, Jinjiang, and Qimao to surface trending genres, recurring motifs, and opening hooks for web fiction topic selection. It enforces data-quality checks to ensure signal reliability.

Validating long-form web fiction topics requires analyzing market signals from ranking data to generate a Phase 4 topic-decision draft. This draft provides actionable candidate ideas with initial feasibility signals and risk notes for project planning.

Ranking data analysis extracts repeatable market signals to identify recurring story hooks across major web fiction platforms. The generated Phase 2 report structures these findings to guide your topic selection process.

Cross-platform market analysis supports Qidian, Fanqie, Jinjiang, and Qimao rankings simultaneously. It surfaces recurring genres and trending themes across these platforms to produce structured reports for topic validation.

Generating a topic-decision draft involves running a cross-platform scan to process ranking data and extract market signals. The Skill outputs a Phase 2 report and a Phase 4 topic-decision draft containing feasible candidate ideas and risk notes.

Scanning web fiction rankings relies on available platform data and enforces data-quality checks to filter noise. Topic validation outputs provide initial feasibility signals and risk notes, but final decisions require manual review of the generated Phase 4 draft.