审阅AI科幻小说总大纲、全书总纲、故事多面体、主线谜团与单元案矩阵。这里的“总大纲”默认指总纲层文件组,而非单一文件;至少包括 `小说总大纲.md`、`故事面/`、`伏笔与回收总纲.md`、`故事多面体大纲.md`,以及其它相关总表级大纲文件。用于审阅总纲层 Canon 文件及其联动关系。关键词:总纲审阅、总大纲、全书审阅、机制递进、单元案矩阵、总纲报告。
npx skills add https://github.com/lornshrimp/Lorn.NovelWriteSkills --skill AI科幻-审阅总大纲
<!-- ===== Layer 1: 永久缓存 ===== -->
这是题材包装层与兼容入口。命中本技能时,必须优先强制加载当前题材 Skill 与 通用-审阅总大纲;当前题材 Skill 负责题材口径与裁判边界,通用-审阅总大纲 负责共性骨架与通用流程。
<!-- ===== Layer 3: 场景缓存 ===== -->
通用-审阅总大纲通用-审阅总大纲。references/总纲审阅专属检查清单.mdreferences/总纲审阅报告增补.mdreferences/总纲断供诊断与回写补丁.md小说总大纲.md,而未查 故事面/、伏笔与回收总纲.md、故事多面体大纲.md,必须明确写出审阅范围受限。通用-审阅总大纲 另写一套平行共性规则。小说大纲/小说总大纲.md。小说大纲/小说总大纲.md小说大纲/故事面/小说大纲/伏笔与回收总纲.md小说大纲/故事多面体大纲.md时间轴_总表.md、总纲索引、总表级矩阵/台账等。小说大纲/伏笔与回收总纲.md 处理。小说总大纲、故事面/、伏笔与回收总纲、故事多面体大纲、主线谜团 M0 / 支线故事面 Xxx / 单元案矩阵 Cxx 的总表层文件。写作研究/ 与 调研报告/,补判平台适配、开篇承诺、长篇耐力、反 AI 味与社会议题耦合。AI科幻-审阅分卷大纲。审阅意见/ 的总纲审阅报告,且给出最小可回写补丁。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/ai科幻-审阅总大纲 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.