# Webnovel Female Radar

> Use when female Chinese web novel writing or 女频小说写作 needs Fanqie female-rank market radar, 言情, 古言, 现言, 快穿, 团宠, 权谋, 情绪流, 女性向人设, 人物关系, 评论区, 短视频文案, or platform voice references for AI-assisted fiction writing.

- Skill: `imerzzhu/webnovel-female-radar` (Agent Skill, multi-file: 25 files)
- Install (CLI): `npx skillmds@latest add imerzzhu/webnovel-female-radar`
- Raw SKILL.md: https://api.skillmd.com/api/skills/imerzzhu/webnovel-female-radar/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: imerzzhu (https://skillmd.com/u/imerzzhu)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/imerzzhu/webnovel-female-radar

---


# Female Webnovel Radar

## Overview

Use this skill for female-oriented Chinese web novel writing. It turns relationship dynamics, emotional pacing, gufeng craft references, and shared platform voice into practical fiction craft guidance. Keep this skill independent from male-channel conclusions; only shared platform voice and general hot-meme surfaces may be reused.

## Workflow

1. Identify the target surface: narration, dialogue, inner monologue, relationship beat, chapter title, comment section, short-video recap, or danmu.
2. Identify female-channel constraints: subgenre, era, heroine agency, romantic/relationship intensity, emotional promise, power imbalance, family/social pressure, and desired sweet/angst/s爽 balance.
3. Load only the needed reference:
   - Female market radar: `references/female-market-style-bible.md`
   - Gufeng knowledge base: `references/gufeng-knowledge/index.md`
   - Classics foundation for gufeng craft: `references/gufeng-knowledge/classics-foundation/index.md`
   - Shared platform voice: `references/shared-platform-voice.md`
4. Adapt for character fit. Relationship tension, emotional logic, and agency should come before meme density.
5. If the user asks for current trends, verify fresh sources before updating because rank and platform language are time-sensitive.

## Source Hygiene Rules

- Use included references as craft guidance, not as substitutes for reading original works.
- Do not save chapter prose, TXT/EPUB, pirate links, or material that can replace reading the original work.
- Convert observations into abstract techniques, scene templates, relationship dynamics, and constraints.
- Keep female-channel guidance separate from male-channel craft files. Do not use male-channel style references as evidence for female-channel craft.

## Female Craft Focus

- Relationship pressure: ambiguity, intimacy, trust, betrayal, family/social constraints, status gap, power gap.
- Emotional rhythm: sweet point, pain point, regret point, face-slapping, reconciliation, identity reveal, rescue, chosen agency.
- Trope conversion: 古言, 现言, 快穿, 团宠, 权谋, 重生, 替身, 白月光, 病弱, 先婚后爱, 追妻, 真假千金, 穿书.
- Platform voice: comments, short-video captions, CP standpoints, heroine defense, male-lead controversy, relationship analysis.

## Public Package References

This open-source package keeps reusable female-channel craft guidance and excludes source-limited work-study batches, monthly rank snapshots, local source cards, and refresh scripts that depend on private files. Use these included references instead:

- `references/female-market-style-bible.md` for female-channel craft signals.
- `references/gufeng-knowledge/index.md` for gufeng scene, language, and topic references.
- `references/gufeng-knowledge/classics-foundation/index.md` for public-domain classical craft foundations.
- `references/shared-platform-voice.md` for platform voice and comment-section style.

## Common Mistakes

- Treating female-channel writing as only romance; many female works are driven by agency, status, family, career, revenge, survival, or power negotiation.
- Reusing male-market conclusions such as pure战力 feedback for relationship-driven scenes.
- Overusing memes in emotional scenes; platform voice should usually sit in comments, short-video recaps, danmu, or side-character banter.
- Saving protected prose or using pirate sources. Keep only metadata and analysis.

