用于管理章节与卷层的连续性、冷热线、动态状态与回归压力。适合写前判断该回什么、写后更新动态状态、检查中段失温与追踪章节链路热度。关键词:连续性、冷热线、谁该回来了、哪些线快忘了、动态状态、失温检查。
npx skills add https://github.com/lornshrimp/Lorn.NovelWriteSkills --skill 通用-管理连续性冷热线
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> 题材路由:若 .github\题材专用Skills\ 目录存在对应的 <题材>-管理连续性冷热线 Skill,则:
> - 将题材特性骨架路由到 <题材>-管理连续性冷热线,该 Skill 位于 .github\题材专用Skills\ 目录。
> - 命中本技能时,必须优先强制加载当前 Skill 与 <题材>-管理连续性冷热线。
连续性控盘不是后台表格管理,而是为了保证读者的追读体验不断电。
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以下所列 references 文件必须通过 read_file 工具逐文件读取,不得因"已有相关知识"、"之前执行时已读过"、"该文件只是参考"为理由跳过任何一条。 每条 references 按其标注的必读等级强制执行:
reference_missing_{refName},不得静默跳过。命中连续性控盘任务时,除本文件外,必须继续读取:
references/连续性与冷热线保真规则.mdreferences/动态状态模板.mdreferences/冷线复查与回归决策表.mdreferences/合理休眠说明模板.mdreferences/章节链路热度与回写层级表.md../../写作研究/网文留存模型.md — 留存基线,定义冷热线状态中的"留存热度"字段——某条线连续N章不出现对留存的影响等级references/归档更新_决策日志_进度追踪补编.md<!-- ===== Layer 2: 项目级缓存 ===== -->
若当前服务的项目根目录存在 Agents.md,执行连续性冷热线管理前必须:
Agents.md;若其中声明了 主输出平台,检索三类模板时优先匹配"适用平台"与主输出平台一致的模板,无匹配时回退到"适用平台:默认"的同类模板Agents.md 中注册了"写作研究模板"——读取对应路径的模板文件,将其回报间隔、冷线遗忘阈值和平台节奏作为默认基线Agents.md 中注册了"作者风格模板"——读取对应路径的模板文件,将其作为关系线回温、情绪表达和声口一致性参照Agents.md 中注册了"作品蓝本模板"——读取对应路径的模板文件,将冷热线回温、伏笔回收、信息释放和钩子轮换作为节奏参照Agents.md,或其中未注册对应模板——回退通用默认模式,不报错,不阻断本 Skill 默认消费字段:
固定优先级:先扫描,再回写,最后处理失温决策。
10. 再只更新未回收钩子与情绪债务。
11. 最后只更新章节链路热度。
12. 若某条线已经连续多章失温,再按决策表决定是推进、提醒、转移、休眠还是归档,并明确优先回写层级。
1–3 个动作。通用-生成章节控制卡 的上游检查器与下游写回器。> 市场教训表明:桥段重复是读者弃书的最隐蔽原因之一——同一情节模式连续重复三四次后,再好的创意也会让读者产生生理性厌倦。
本扫描在每次冷热线检查(默认6类对象扫描)完成后,追加一轮桥段重复度扫描。若以下条件成立则触发:
| 预警等级 | 处置要求 |
| --- | --- |
| 黄色预警 | 在下一张控制卡中,将重复桥段做变异处理:换触发条件、换执行人、换场景、翻转预期结果,或压缩为半章快速过渡。 |
| 红色预警 | 立即停止当前写作节奏,返回卷纲层做一次桥段重置:至少插入 1-2 个全新事件类型,并调整后续章节的指纹轮换节奏。在修复完成前,不得继续按原模式推进正文。 |
| 具体表现重复 | 将该模式列为"下卷禁用",并设计至少 2 个替代推进方案。 |
在生成章节控制卡时,建议在控制卡顶部标注该章的"桥段指纹标签",逐步积累成本书的桥段指纹库,供本扫描周期性调用。
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take lornshrimp/通用-管理连续性冷热线 from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.