romance-novel-conventions

romance-novel-conventions is a skill for Claude Code from wordflowlab/novel-writer-skills. It costs 34 tokens per session (2,221 once invoked), scanned A, original, MIT.

A guide to common patterns for writing romance stories, including relationship development, conflict, pacing, and endings.

In plain words
What is it for?
It is for shaping first meetings, attraction, intimacy, misunderstandings, difficult turning points, and satisfying conclusions.
Why use it?
It helps writers plan believable emotional progress instead of rushing major relationship moments or leaving conflicts unresolved.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit It is for shaping first meetings, attraction, intimacy, misunderstandings, difficult turning points, and satisfying conclusions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wordflowlab/novel-writer-skills/romance
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add wordflowlab/novel-writer-skills --skill romance
Clone the repo
git clone --depth 1 https://github.com/wordflowlab/novel-writer-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for romance-novel-conventions

README.md
[![agentmods](https://agentmods.dev/badge/skills/wordflowlab/novel-writer-skills/romance/github.svg)](https://agentmods.dev/skills/wordflowlab/novel-writer-skills/romance)
Your own site
<a href="https://agentmods.dev/skills/wordflowlab/novel-writer-skills/romance"><img src="https://agentmods.dev/badge/skills/wordflowlab/novel-writer-skills/romance/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for romance-novel-conventions

Your own site · 80×15
<a href="https://agentmods.dev/skills/wordflowlab/novel-writer-skills/romance"><img src="https://agentmods.dev/badge/skills/wordflowlab/novel-writer-skills/romance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,221 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.02221
Opus 5 $0.00017 $0.01111
Sonnet 5 $0.00007 $0.00444
Haiku 4.5 $0.00003 $0.00222

Measured 12d ago against content hash a3d899c702bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

romance-novel-conventions scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

templates/skills/genre-knowledge/romance/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

言情小说创作规范

快速参考

元素 指导原则 示例
初遇 故事的 0-10% 意外的首次相遇,产生火花
初吻 50-60%(慢热)或 20-30%(快热) 需要充分的情感铺垫
黑暗时刻 75-85% 关系看似不可能继续
大结局 85-100% 表白、承诺、HEA/HFN

核心要素

必备组成部分

  1. 情感连接:主角之间必须有化学反应

    • 通过行动而非单纯描述来展现吸引力
    • 通过亲近和距离建立张力
    • 创造可信的相互吸引的理由
  2. 内在冲突:恐惧、过往创伤、自我怀疑

    • 每个角色都应该有情感包袱
    • 内在冲突必须与外在障碍同样强烈
    • 成长来自面对这些内在问题
  3. 外在障碍:家庭、事业、误会

    • 障碍应该是合理的,而非人为的
    • "只要好好沟通"不应该能解决所有问题
    • 风险应该逐步升级
  4. 令人满意的结局:HEA(永远幸福)或 HFN(暂时幸福)

    • 两个角色都必须成长才配得上结局
    • 结局应该解决内在和外在冲突
    • 读者应该感到满足,而非被欺骗

可选元素

  • 三角恋(谨慎使用 - 可能让读者沮丧)
  • 被迫亲密设定(被困在一起的场景)
  • 欢喜冤家(需要精心处理)
  • 第二次机会言情(重燃旧情)

节奏指南

故事阶段 百分比 关键事件 情感焦点
初遇 0-10% 初次相遇,产生兴趣的火花 好奇、吸引
张力建立 10-60% 吸引力增长,障碍出现 渴望、挫折
冲突升级 60-75% 重大误会或真相揭露 怀疑、痛苦
黑暗时刻 75-85% 关系看似不可能 绝望、失落
大结局 85-100% 盛大表白、承诺 喜悦、圆满

情感节奏点

初吻时机

慢热言情(约 50-60%):

  • 初吻前有多次差点亲上的时刻
  • 大量的情感铺垫
  • 亲吻发生在建立重要信任之后
  • 读者的期待值很高

快热言情(约 20-30%):

  • 立即的化学反应导致快速的身体接触
  • 之后重点转移到情感亲密
  • 仍必须展现合理的吸引力建立
  • 避免"一见钟情" - 展示他们为何吸引

黄金法则:在没有足够铺垫的情况下,绝不要仓促。没有情感基础的身体亲密会显得空洞。

亲密关系进展

  1. 情感亲密先于身体亲密

    • 分享脆弱性
    • 揭露过去的伤痛
    • 信任必须赢得
  2. 逐步展现脆弱

    • 从小的袒露开始
    • 建立到更深层的情感分享
    • 身体亲密跟随情感信任
  3. 尊重角色界限

    • 角色可以说不
    • 同意是必不可少的
    • 尊重符合角色性格的节奏

常见陷阱

❌ 一见钟情

问题:角色在没有发展的情况下爱得太快

为什么不好:读者不相信这种连接;感觉勉强和不真实

解决方法

  • 在表白之前展示 3-5 次有意义的互动
  • 通过行动而非想法建立吸引力
  • 给出他们相互吸引的具体原因
  • 允许时间让信任发展

❌ 误会是唯一冲突

问题:"只要好好谈谈,一切都会好起来"

为什么不好:让读者沮丧;感觉像人为的戏剧

解决方法

  • 添加合理的外部障碍(工作、家庭、地点)
  • 创造必须发生的内在成长(恐惧、创伤、身份认同)
  • 让沟通因真实原因而困难(权力失衡、过去的背叛)
  • 确保冲突需要角色成长才能解决

❌ 被动的主角

问题:等待被拯救或被选择;没有主动权

为什么不好:削弱角色,让言情感觉不平等

解决方法

  • 给他们关系之外的目标
  • 展示他们主动追求
  • 让他们为爱情积极做出牺牲
  • 确保两个角色在关系中拥有平等的主动权

❌ 陈词滥调没有创新

问题:读者已经看过一千次的可预测情节

为什么不好:无聊;读者能预测每一个转折

解决方法

  • 添加独特的角色背景或情境
  • 在熟悉的框架内扭转期望
  • 以意想不到的方式结合套路
  • 让角色性格驱动情节,而非反过来

子类型考虑

现代言情

  • 现代关系动态
  • 现实的障碍(事业、距离、时机)
  • 短信/科技发挥作用
  • 关注兼容性和沟通

Read the full file on GitHub · 229 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 229 lines · 34 tokens per session scan A a3d899c702bf

Subscribe to this mod's changes

romance-novel-conventions is a skill published in the GitHub repository wordflowlab/novel-writer-skills (258 stars, last pushed 10mo ago), licensed MIT. It adds 34 tokens to every session and 2,221 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens