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Agent Skill · 研究检索

grad-phenomenology(梯度现象学)

grad-phenomenology 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-phenomenology 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,权限为只读;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 60,488。

总安装 367周安装 15GitHub Stars 125下载 119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-phenomenology(梯度现象学)
来源仓库:https://github.com/asgard-ai-platform/skills
仓库路径:skills/grad-phenomenology
安装命令:
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-phenomenology
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-phenomenology

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-phenomenology 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。适用于现象学研究、主观经验分析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-phenomenology

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-phenome…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

grad-phenomenology 怎么安装?

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

grad-phenomenology 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-phenomenology 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

grad-phenomenology 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-phenomenology 用的人多吗?

公开数据是累计安装 367 次,近一周安装 15 次,下载 119 次,GitHub 125 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-phenomenology 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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-phenomenology

梯度现象学 · 本页

367125只读未明确通过

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

Phenomenology

Overview

Phenomenology is a qualitative methodology that seeks to describe and understand the essence of lived experience as perceived by those who experience it. Rooted in Husserl's philosophy, the researcher suspends (brackets) preconceptions to let the phenomenon reveal itself. Two major traditions exist: descriptive phenomenology (Husserl, Moustakas) focuses on essential structures, while interpretive phenomenology (Heidegger, van Manen) and IPA (Smith) emphasize hermeneutic interpretation of meaning-making.

When to Use

  • Understanding the essential structure of a lived experience (e.g., grief, learning, chronic illness)
  • Exploring "what is it like to experience X?" from first-person perspectives
  • When existing theories do not capture the experiential dimension of a phenomenon
  • When idiographic depth (individual meaning-making) is valued over population-level patterns

When NOT to Use

  • When the research question is about behavior, systems, or processes rather than experience
  • When the phenomenon has not been experienced by the participants firsthand
  • When causal explanation or prediction is required
  • When the researcher cannot bracket their assumptions (e.g., strong advocacy stance)

Assumptions

IRON LAW: Phenomenology studies LIVED EXPERIENCE as described by those
who live it — the researcher's theoretical preconceptions must be
bracketed (epoche). If you impose your framework on participants'
experience, you are doing thematic analysis, NOT phenomenology.

Key assumptions:

  1. Consciousness is always consciousness OF something (intentionality)
  2. Lived experience has an essential structure that can be described
  3. The researcher must suspend the natural attitude through epoche (bracketing)
  4. Meaning is constituted through the relationship between person and phenomenon

Methodology

Step 1: Identify the Phenomenon and Bracket Preconceptions

Define the phenomenon precisely. Conduct epoche — write down all presuppositions, theories, and expectations about the phenomenon, then consciously set them aside. In IPA, acknowledge that bracketing is partial and iterative.

Step 2: Collect Experiential Descriptions

Conduct in-depth interviews with individuals who have lived the experience. Use open questions: "Tell me about your experience of X." Aim for rich, detailed, first-person descriptions. Sample size: descriptive phenomenology 5-25; IPA typically 3-6 for idiographic depth.

Step 3: Analyze for Meaning Structures

Descriptive (Moustakas/Colaizzi): Extract significant statements, formulate meanings, cluster into themes, produce textural and structural descriptions, synthesize the essence.

IPA (Smith): Read and re-read each transcript. Note initial observations. Develop emergent themes per case. Search for connections across themes. Move to next case. Identify patterns across cases while preserving idiographic detail.

Step 4: Describe the Essence

Write a composite description of the phenomenon's essential structure — the invariant features without which the experience would not be what it is. In IPA, present a narrative that weaves individual voices with interpretive commentary.

Output Format

## Phenomenological Analysis: [Experience]

### Phenomenon
- Definition: [the experience studied]
- Participants: [N, selection criteria]
- Approach: [descriptive / interpretive / IPA]

### Bracketing Statement
- Researcher preconceptions: [listed and suspended]

### Essential Themes
| Theme | Textural Description (What) | Structural Description (How) |
|-------|---------------------------|----------------------------|
| [theme] | [what was experienced] | [how it was experienced] |

### Essence Statement
> [A composite description capturing the invariant structure of the experience — what makes this experience THIS experience and not something else]

### Individual Voices (IPA)
| Participant | Unique Contribution | Illustrative Quote |
|-------------|--------------------|--------------------|
| [pseudonym] | [what this case adds] | [direct quote] |

### Implications
1. [What this reveals about the phenomenon]
2. [How the essence challenges or enriches existing understanding]

Gotchas

  • Epoche does NOT mean the researcher has no perspective — it means they consciously reflect on and suspend it
  • Do NOT conflate phenomenology with thematic analysis — phenomenology seeks essences, not just themes
  • IPA involves a "double hermeneutic": the researcher interprets the participant's interpretation of their experience
  • Descriptive and interpretive phenomenology have different philosophical foundations — do not mix them carelessly
  • Small sample sizes are intentional — depth trumps breadth in phenomenological research
  • The essence is not a summary of common themes; it is the invariant structure that defines the experience

References

  • Moustakas, C. (1994). *Phenomenological Research Methods*. Sage.
  • Smith, J. A., Flowers, P., & Larkin, M. (2022). *Interpretive Phenomenological Analysis: Theory, Method and Research* (2nd ed.). Sage.
  • van Manen, M. (2016). *Researching Lived Experience: Human Science for an Action Sensitive Pedagogy* (2nd ed.). Routledge.

平台分布

Codex

35.52%
按下载量换算42

Claude

28.55%
按下载量换算34

Cursor

18.46%
按下载量换算22

Gemini CLI

9.36%
按下载量换算11

安全审计

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通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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