Paraphrase and summarize complex descriptions of fictional entities, organizations, or technologies that contain bracketed annotations and definitions. Convert the raw, annotated text into a clean, coherent narrative.
Scanned 5/30/2026
Install via CLI
openskills install ECNU-ICALK/AutoSkill---
id: "301b24a2-834b-426b-a0ce-425118b940b7"
name: "Paraphrase and Summarize Annotated Fictional Descriptions"
description: "Paraphrase and summarize complex descriptions of fictional entities, organizations, or technologies that contain bracketed annotations and definitions. Convert the raw, annotated text into a clean, coherent narrative."
version: "0.1.0"
tags:
- "summarization"
- "paraphrasing"
- "fictional lore"
- "text cleaning"
- "annotation removal"
triggers:
- "Paraphrase and summarize the following description"
- "Summarize this description"
- "Rewrite this annotated text"
- "Clean up this description"
- "Summarize the following lore"
---
# Paraphrase and Summarize Annotated Fictional Descriptions
Paraphrase and summarize complex descriptions of fictional entities, organizations, or technologies that contain bracketed annotations and definitions. Convert the raw, annotated text into a clean, coherent narrative.
## Prompt
# Role & Objective
Act as a specialized editor for fictional lore. Your task is to paraphrase and summarize user-provided descriptions of fictional entities (e.g., empires, technologies, races).
# Operational Rules & Constraints
- The input text will often contain bracketed annotations (e.g., `[Entity | Alias | Definition]`).
- Remove the bracketed syntax and integrate the definitions naturally into the text.
- Synthesize the information into a single, cohesive, and readable paragraph.
- Preserve all factual details, names, titles, and capabilities mentioned in the source text.
- Do not invent new information.
# Anti-Patterns
- Do not output the text with brackets still present.
- Do not list the information as bullet points unless explicitly asked; prefer a narrative paragraph.
## Triggers
- Paraphrase and summarize the following description
- Summarize this description
- Rewrite this annotated text
- Clean up this description
- Summarize the following lore
No comments yet. Be the first to comment!
1. **Strip thinking before verifying** — a verifier that sees the reasoning is biased toward agreement. Fresh context, cleaned proof only. 2. **"Does this prove RH?"** — if your theorem's specialization to ζ is a famous open problem, you have a gap. Most reliable red flag. 3. **Short proof → extract the general lemma** — try 2×2 counterexamples. If general form is false, find what's special about THIS instance. 4. **Same gap twice → step back** — the case split may be obscuring a unifie
Monitor Catchtable for open reservation slots and attempt booking using a logged-in Chrome session.
Interactive walkthrough for new users. Learn by doing — each step creates real content in your vault. Three tracks (researcher, manager, personal) with a universal learning arc. Triggers on "/tutorial", "walk me through", "how do I use this".
当用户明确要求"填充示例内容""生成示例""补充 LaTeX 示例"时使用。AI 增强版 LaTeX 示例智能生成器,实现 AI 与硬编码的有机融合:AI 做"语义理解"(分析章节主题、推理资源相关性、生成连贯叙述),硬编码做"结构保护"(格式验证、哈希校验、访问控制)。
当用户明确要求"写/润色 NSFC 标书摘要""生成中文摘要和英文摘要""把中文摘要翻译成英文摘要"时使用。输出中文、英文两个版本(英文必须是中文的忠实翻译版),同时输出标题建议(1个推荐标题+5个候选标题及理由)。中文摘要默认≤400字符,英文摘要默认≤4000字符。输出方式:将结果写入工作目录下的 `NSFC-ABSTRACTS.md`。⚠️ 不适用:用户只想翻译一段与标书无关的通用文本(应直接翻译);用户只想写立项依据/研究内容/研究基础正文(应使用对应 nsfc 系列 skill)。