用于【AI科幻】题材下以默认极严、保守、负面证据优先的口径评估作品在{目标平台}的签约、过稿与连载潜力。作为题材包装层与路由层,负责保留AI科幻标准入口名,并明确要求优先强制加载并使用 `通用-平台签约评估框架`。关键词:AI科幻签约评估、极严评估、签约概率评估、过稿潜力、总纲闸门预评估、分卷闸门预评估、正文准入评估、竞品威胁评估。
npx skills add https://github.com/lornshrimp/Lorn.NovelWriteSkills --skill AI科幻-平台签约评估框架
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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-平台签约评估框架通用-平台签约评估框架 另写一套平行共性规则。通用-平台签约评估框架。通用-平台签约评估框架 的 "目标平台路由与动态引用" 节按目标平台加载对应 references。references/起点AI科幻审核锚点与红线.mdreferences/起点签约概率评估检查清单.mdreferences/起点签约概率评估报告模板.md通用-平台签约评估框架 中对应平台的默认审核流程;本题材层仅补充题材基线。审阅意见/{目标平台}/评估/通用-平台签约评估框架 中的 references/平台签约评估报告模板.md 作为主骨架,【起点口径】 再用 references/起点签约概率评估报告模板.md 补写AI科幻专项章节。通用-平台签约评估框架。通用-平台签约评估框架 的 TopN 候选池 → 3–5 本主压制样本 → 四层竞对拆解 方法;题材层不再平行维护第二套竞对流程。通用-平台签约评估框架 为准。TopN 候选池 → 3–5 本主压制样本 → 四层深拆 方法,以及相关起点术语口径,也以 通用-平台签约评估框架 为准。通用-平台签约评估框架 统一管辖,题材层直接继承;不需要用户额外说"严苛"或"保守",也不需要题材层重复定义。总纲闸门预评估、分卷闸门预评估、正文准入评估、完整评估 与 缺材快筛 五种模式。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-平台签约评估框架 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.