AI Agent Hub
Back to skills
Web Novel Deconstruction Analyzer icon

Web Novel Deconstruction Analyzer

Content Creation Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please install @user_475b8f2b/deconstruction-analyzer using https://skillhub.cn/install/skillhub.md.

About this skill

Problem It Addresses

When writing web novels, the gap is often not inspiration but reusable structural reference: why readers keep following a genre, how the opening creates expectations, where payoff beats should land, and which character archetypes or cheat setups lower the reading barrier. Web Novel Deconstruction Analyzer turns that question into an inspectable report.

How It Works

It starts from a genre entry. After a prompt such as “deconstruct urban cultivation,” it runs type_router to identify major, minor, and possibly cross-genre signals, then moves into source collection and per-work analysis. The report usually covers structure templates, payoff rhythm, character archetypes, opening hooks, cheat ability patterns, and common pitfalls, then writes to deconstruction_report/report.md in the specified project directory.

Key steps include:
- Genre routing: maps vague descriptions into the built-in classification and tries synonym expansion or cross-genre inference.
- Benchmark analysis: selects comparable works and examines openings, pacing, character arcs, and selling points.
- Cross-work comparison: extracts shared templates and reusable writing constraints.
- Incremental analysis: after an existing report, it can add works or drill into a branch while preserving context with session_tracker.

When the user reports “pacing is too slow,” “no one reads the opening,” or “I’m stuck,” it first diagnoses the writing problem, then decides whether to return to deconstruction. It can also feed into multi-role-novel-iteration as optional input for later drafting.

Boundaries

It fits web-novel genre study and hit-structure reference, not literary criticism, academic analysis, or minor edits to a finished outline. A project directory is required. If source search fails, it falls back to built-in knowledge, so depth and confidence may drop. The report is for pattern extraction, not copying source text or expressions.

Use Cases

  • Before drafting urban cultivation, extract opening hooks, payoff rhythm, and pitfalls from comparable hits into a report for outlining.
  • When chapter 3 pacing drops, use “pacing is too slow” to diagnose weak setup or missing stakes before deciding what to analyze.
  • After an existing urban cultivation report, add three reincarnation-variant works and run incremental analysis to see changed conclusions.
  • Compare urban cultivation with xuanhuan cultivation to produce a cross-genre report for positioning and differentiating selling points.

Best For

  • Web novel authors preparing a new outline who need comparable hit structures turned into reusable selling points and pacing templates.
  • Serialized authors facing stalled drafts or reader drop-off who need diagnosis of openings, pacing, or expectation management.
  • Content editors evaluating genres who need fast comparisons and discussable deconstruction conclusions.
  • Creators moving from analysis to AI-assisted drafting who need the report injected as input for later scenes.