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Grad Narrative Agent Skill

Apply narrative research methods to understand human experience through stories, analyzing narrative structure, temporality, and meaning-making in life stories and oral histories. Use this skill when the user needs to analyze how people construct meaning through storytelling, examine narrative structure and plot, conduct life story or oral history research, or when they ask 'how do stories shape identity', 'how do I analyze a life narrative', or 'what does this story reveal about experience'.

4k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
223
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-narrative

What comes with it

8 147 bytes besides the instruction
examples/sample_scenario.md

The instruction itself

13 sections, as written by the author

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:

  • Humans are storytelling beings — narrative is the primary way we organize experience
  • Stories are situated performances — shaped by audience, context, and purpose
  • Temporality is constitutive — meaning emerges from the sequence and connection of events
  • 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:

| Element | Description |

|---------|-------------|

| Abstract | What is this story about? |

| Orientation | Who, when, where, what situation? |

| Complicating action | Then what happened? (the plot) |

| Evaluation | So what? Why does this matter to the narrator? |

| Resolution | What finally happened? |

| Coda | Return 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.

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How to use it

Copy the folder

Take asgard-ai-platform/grad-narrative from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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.