用于【异能志怪】题材下的多平台输出 SOP 编排。作为题材包装层、兼容入口与路由层,负责保留异能志怪入口名,并明确要求优先强制加载并使用 `通用-多平台输出编排`,同时在多平台分发前先锁定母稿底盘与题材差异。
npx skills add https://github.com/lornshrimp/Lorn.NovelWriteSkills --skill 异能志怪-多平台输出编排
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这是题材包装层、兼容入口与路由层。
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通用-多平台输出编排通用-多平台输出编排。references/题材多平台输出保真规则.md通用-多平台输出编排异能志怪-提纯多平台母稿异能志怪-多平台小说适配异能志怪-输出*版通用-多平台输出编排 的"15 步执行闭环",不得删改、跳步或降级。小说正文/ 下完成,不得要求用户重复提供路径。异能志怪-提纯多平台母稿 与 异能志怪-多平台小说适配,且每个“章节 × 目标平台”必须调用对应 异能志怪-输出*版;若调用审计存在缺口,任务不得完成。通用-多平台输出编排。通用-多平台输出编排,并严格按通用层 15 步闭环执行。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/异能志怪-多平台输出编排 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.