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Agent Skill · 研究检索

story-explanation(故事解释)

story-explanation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

story-explanation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 56,510。

总安装 449周安装 18GitHub Stars 2下载 145核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:story-explanation(故事解释)
来源仓库:https://github.com/multicam/qara
仓库路径:skills/story-explanation
安装命令:
npx skills add https://github.com/multicam/qara --skill story-explanation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/multicam/qara --skill story-explanation

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

使用时不能把工具输出直接当最终结论,需人工复核关键信息。

来源仓库内路径:skills/story-explanation

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/multicam/qara --skill story-explanation;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

story-explanation 怎么安装?

在终端执行 npx skills add https://github.com/multicam/qara --skill story-explanation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

story-explanation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

story-explanation 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

story-explanation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

story-explanation 用的人多吗?

公开数据是累计安装 449 次,近一周安装 18 次,下载 145 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

story-explanation 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
story-explanation

故事解释 · 本页

4492需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Story Explanation - Narrative Summary with Creative Analysis

Core Philosophy

Use extended thinking to analyze multiple narrative framings, then select the BEST one and present it in a compelling story format. Generic summaries use obvious framing without exploring alternatives — this skill counters mode collapse by deliberately exploring diverse angles before committing to one. Voice is first person, casual, direct, genuinely curious.

Workflow Routing

This skill contains multiple workflows for different story explanation formats.

Available Workflows

  1. workflows/create.md - Main 3-part narrative (default)

- Use when: User wants standard story explanation format - Triggers: "create story explanation", "story explanation", default workflow - Output: 3-part format (opening 15-25 words → body 5-15 sentences → closing 15-25 words)

  1. workflows/create-with-links.md - N-length format with inline source links

- Use when: User wants comprehensive narrative with source attribution - Triggers: "story explanation with links", "narrative with sources", "with inline citations" - Output: N sentences (default 25) with inline links after each sentence

  1. workflows/create-abridged.md - Ultra-concise 5-line format (5-12 words per line)

- Use when: User wants abbreviated format from URL, YouTube, or text - Triggers: "create abridged story explanation", "5-line summary", command: /create-abridged-story-explanation - Output: 5 lines with strict word limits

  1. workflows/cse.md - Comprehensive explanation

- Use when: User wants detailed narrative explanation - Triggers: "run CSE", "explain this story", command: /cse - Output: Complete narrative explanation

  1. workflows/cse5.md - Clean 5-line numbered format

- Use when: User wants scannable, numbered breakdown - Triggers: "explain in 5 lines", "CSE5", command: /cse5 - Output: 5 numbered lines, one concept per line

Routing Decision Tree

User request → Analyze intent:

├─ "with links" OR "inline sources" OR "with citations"
│  └─> workflows/create-with-links.md (N-length format with inline links)
│
├─ "abridged" OR "5-12 words per line"
│  └─> workflows/create-abridged.md
│
├─ "CSE5" OR "5 lines" OR "numbered"
│  └─> workflows/cse5.md
│
├─ "CSE" OR "comprehensive explanation"
│  └─> workflows/cse.md
│
└─ Default OR "story explanation"
   └─> workflows/create.md (3-part narrative)

Command Routing

  • /create-story-explanation → workflows/create.md
  • /create-story-output-links → workflows/create-with-links.md
  • /create-abridged-story-explanation → workflows/create-abridged.md
  • /cse → workflows/cse.md
  • /cse5 → workflows/cse5.md

UltraThink Protocol

Before writing, use extended thinking to explore the content across multiple narrative dimensions. This is not optional — it is the mechanism that produces non-obvious, high-quality framings.

  1. Generate 5+ distinct narrative framings: vary the hook, emphasis, structure (chronological, problem-solution, comparison), and "wow" factor for each
  2. Evaluate each framing on: hook strength, shareability, conversational naturalness, and how clearly it conveys significance
  3. Select the single most compelling angle — the one a reader would most want to pass on
  4. Proceed to write only after selection is complete

This replaces mode collapse with deliberate creative exploration. The goal is to find the framing that would make someone stop and say "I get it now."

The Process

  1. Determine format from user request using the routing decision tree above
  2. Extract content via the appropriate method:

- YouTube: yt-dlp --write-auto-sub --sub-lang en --skip-download -o "/tmp/%(title)s" "URL", then read subtitle file - URLs/articles: WebFetch(url, "Extract full content of this article") - Other: paste text or read from files

  1. Run UltraThink Protocol — explore 5+ framings, evaluate, select the best
  2. Write output in the selected format using conversational voice
  3. Save to scratchpad at ${PAI_DIR}/scratchpad/${CLAUDE_SESSION_ID}/story-explanation-[topic]/

Output Formats & Voice

Full guide: references/voice-style-guide.md

  • 3-Part Narrative: Opening (15-25 words) → Body (5-15 sentences) → Closing (15-25 words)
  • N-Length with Links: User-specified sentences with inline source attribution
  • Conversational voice: First person, casual, direct, genuinely curious
  • Avoid: Cliches ("game-changer", "paradigm shift"), journalistic tone, extrapolation beyond the input

File Organization

Working files (content, analysis, drafts, final output) go to scratchpad. Archive to history only when the analytical approach itself is exceptionally valuable for future reference.

Full details: references/file-organization.md

Related Skills

Use research instead when: the goal is comprehensive analysis with multiple sources, or analytical extraction is preferred over narrative storytelling.

Do not use social, writing, or media as companion skills — they do not exist in this system.

平台分布

Codex

35.57%
按下载量换算52

Claude

29.96%
按下载量换算43

Cursor

17.59%
按下载量换算26

Gemini CLI

9.94%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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