Fanqie Novel Crafter

For creators on the Fanqie novel platform, long-form web fiction writing often encounters specific challenges: character continuity errors, uncontrolled emotional pacing, algorithm adaptation for distribution, and overly AI-like writing. These issues become prominent beyond 50 chapters, directly impacting reader retention and completion rates—for example, resurrected deceased characters or inconsistent location descriptions in hundred-chapter novels break immersion.

Core Problems in Fanqie Novel Creation

• Long-term continuity maintenance: In serialized novels, characters, locations, and plot points tend to contradict, causing logical loopholes.
• Platform data-driven requirements: Fanqie's algorithm relies on emotion tags and pacing metrics, necessitating precise control over opening hooks, chapter length (2200-2800 words optimal), and emotional curves.
• Writing craft thresholds: Requires removing AI traces (e.g., avoiding words like "furthermore" or "however"), enhancing "show-don't-tell," and designing comment-bait hooks to boost algorithm recommendations.

How the Skill Works: Dual-Track Memory and Data-Driven Mechanisms

The skill addresses these issues through engineering solutions. Key mechanisms include:

1. Long-term memory system: Maintains files like CHARACTERS.md, LOCATIONS.md in the .learnings/ directory, auto-reading before each creation to ensure continuity. Continuity checks link to ERRORS.md to prevent setting contradictions.
2. Emotional curve planning: Based on six Fanqie emotion tags (e.g., face-slapping satisfaction, extreme angst), plans every 3 chapters as a "pressure-small rise-pressure-explosion" unit, reserving comment-bait nodes (such as "dilemma choices" or "information gaps") to control rhythm.
3. Golden opening refinement: Generates three versions (strong conflict, contrast, emotion), filters using 10 verification sentences and a "lightning rod" checklist, finalizing 50 words in the outline to improve click-through rates.
4. Per-chapter creation workflow:
   - Pre-writing analysis: Designs opening hooks (first 20% must have immediate conflict), scene planning, and chapter-end hook rotation.
   - Hard constraint execution: Word count validation via scripts/check_chapter_wordcount.py, formatting with scripts/format_chapter.py.
   - Quality review: Quick 3-dimension or full 9-dimension check, with delivery only if score >60, ensuring craft standards.
5. Key plot visualization: Uses Mermaid syntax to diagram battles, faction maps, etc., aiding complex storyline management.

Applicability Boundaries and Considerations

• Fanqie platform only: The skill's built-in algorithm pacing, comment-bait, and emotional curves are tailored for Fanqie. For platforms like Jinjiang, Qidian, or WeChat articles, use generic writing workflows to avoid imposing mismatched rhythms.
• Not for short-form or single-piece creation: The memory system and long-form engineering target serialized works; short pieces can use general writing methods.
• Dependent on user feedback: After every 5 chapters, adjust outlines based on completion and follow-up reading rates to ensure dynamic optimization, avoiding static planning failures.

When using this skill, ensure proper project structure initialization (e.g., .learnings/ directory) and follow the phased workflow to maximize its effectiveness.