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Agent Skill · 研究检索

grad-narrative(研究生叙事)

grad-narrative 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。

grad-narrative 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 60,976。

总安装 360周安装 15GitHub Stars 124下载 120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:grad-narrative(研究生叙事)
来源仓库:https://github.com/asgard-ai-platform/skills
仓库路径:skills/grad-narrative
安装命令:
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-narrative
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/asgard-ai-platform/skills --skill grad-narrative

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。

grad-narrative 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于叙事分析、故事结构研究或质性资料解读支持。通过 npx skills add 命令从 GitHub 仓库安装,具体用法可参考原始 README。

安装前需确认权限范围和维护状态,注意是否触发联网或文件读写操作。建议结合来源仓库进一步核验功能细节和使用边界。

来源仓库内路径:skills/grad-narrative

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/asgard-ai-platform/skills --skill grad-narrati…;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

grad-narrative 怎么安装?

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

grad-narrative 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。

grad-narrative 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。

grad-narrative 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。

grad-narrative 用的人多吗?

公开数据是累计安装 360 次,近一周安装 15 次,下载 120 次,GitHub 124 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。

grad-narrative 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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
grad-narrative

研究生叙事 · 本页

360124需要联网未明确通过

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

Narrative Research

Overview

Narrative research studies human experience through the stories people tell about their lives. Stories are not merely reports of events but active constructions of meaning — organizing experience temporally, assigning causality, and shaping identity. The methodology preserves the wholeness of narratives rather than fragmenting them, attending to structure (how the story is told), content (what is told), and context (why and to whom).

When to Use

  • Understanding how individuals make sense of pivotal life events or transitions
  • Exploring identity construction and transformation over time
  • Studying how cultural, organizational, or political narratives shape experience
  • When temporal sequence and context are essential to understanding the phenomenon

When NOT to Use

  • When the phenomenon is not experiential or temporal (use conceptual analysis)
  • When participants cannot or prefer not to narrate their experience
  • When the goal is to extract discrete variables or test causal hypotheses
  • When cross-sectional snapshot data is sufficient

Assumptions

IRON LAW: In narrative research, the STORY is the unit of analysis —
fragmenting narratives into coded themes destroys the temporal and
contextual meaning. If you reduce stories to thematic codes, you are
doing thematic analysis, NOT narrative research.

Key assumptions:

  1. Humans are storytelling beings — narrative is the primary way we organize experience
  2. Stories are situated performances — shaped by audience, context, and purpose
  3. Temporality is constitutive — meaning emerges from the sequence and connection of events
  4. The researcher is a co-constructor of the narrative through the interview relationship

Methodology

Step 1: Elicit the Narrative

Conduct narrative interviews using a single generative question (e.g., "Tell me the story of..."). Allow the narrator to structure the telling. Avoid interrupting with probes until the main narrative is complete. Collect life stories, oral histories, or episode-specific narratives depending on the research focus.

Step 2: Analyze Narrative Structure

Examine HOW the story is told using structural elements:

ElementDescription
AbstractWhat is this story about?
OrientationWho, when, where, what situation?
Complicating actionThen what happened? (the plot)
EvaluationSo what? Why does this matter to the narrator?
ResolutionWhat finally happened?
CodaReturn to the present; moral or lesson

(Labov's structural model; adapt as needed for non-Western narrative forms.)

Step 3: Interpret Meaning and Identity

Analyze WHAT the story conveys: turning points, character positioning, agency, causality, and moral framing. Examine how the narrator positions themselves (hero, victim, survivor, agent). Identify master narratives the story aligns with or resists.

Step 4: Contextualize and Present

Situate the narrative within broader social, cultural, and historical contexts. Present findings as re-storied narratives (Clandinin and Connelly) or analytic narratives that preserve the story's integrity while offering scholarly interpretation.

Output Format

## Narrative Analysis: [Context]

### Narrator Profile
- Pseudonym: [name]
- Context: [relevant background]
- Narrative type: [life story / episodic / oral history]

### Narrative Structure
| Structural Element | Content |
|-------------------|---------|
| Abstract | [summary of what the story is about] |
| Orientation | [setting, characters, initial situation] |
| Complicating action | [key events and turning points] |
| Evaluation | [narrator's assessment of meaning] |
| Resolution | [how events resolved] |
| Coda | [return to present, lesson drawn] |

### Identity Positioning
- Self-positioning: [how the narrator presents themselves]
- Agency: [active agent / constrained / victim / survivor]
- Master narratives: [aligned with or resisting which cultural stories]

### Temporal and Contextual Meaning
- Turning points: [pivotal moments that reorganize the narrative]
- Causality: [how the narrator explains why things happened]
- Silences: [what is notably absent from the story]

### Implications
1. [What this narrative reveals about the phenomenon]
2. [How it connects to broader social or cultural narratives]

Gotchas

  • Do NOT code narratives into fragments — analyze stories as wholes with internal structure
  • The same events can be storied differently by the same person at different times — narratives are not fixed facts
  • Researcher influence on the story is inevitable — reflexivity about co-construction is required
  • Labov's model was developed for oral narratives of personal experience — it may not fit all narrative forms
  • Life story research involves ethical complexity: participants may disclose more than intended in the flow of storytelling
  • Distinguish between narrative analysis (story as object) and analysis of narratives (stories as data for themes) — they are different methods

References

  • Clandinin, D. J., & Connelly, F. M. (2000). *Narrative Inquiry: Experience and Story in Qualitative Research*. Jossey-Bass.
  • Riessman, C. K. (2008). *Narrative Methods for the Human Sciences*. Sage.
  • Labov, W., & Waletzky, J. (1967). Narrative analysis: Oral versions of personal experience. In J. Helm (Ed.), *Essays on the Verbal and Visual Arts* (pp. 12-44). University of Washington Press.

平台分布

Codex

32.44%
按下载量换算39

Claude

30.86%
按下载量换算37

Cursor

18.73%
按下载量换算22

Gemini CLI

9.05%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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