Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计通过

grad-narrative研究生叙事

Agent Skill

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。

总安装

360

周安装

15

GitHub Stars

124

下载量

120
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills