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literatureliterature 分析

Agent Skill

literature 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

40,854

周安装

1,737

GitHub Stars

2

下载量

14,313
OpenClaw

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

MIT-0

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:literature(literature 分析)
来源仓库:https://github.com/ivangdavila/literature
安装命令:
openclaw skills install literature
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install literature

简介

引导文学阅读从个人反应转向学术分析。

  • 适用于文学研究和文本深度解析场景。literature 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 帮助提升对文学作品的分析能力和学术视角。
  • 安装命令:openclaw skills install literature。
  • 注意确认权限范围及是否触发联网获取资料。

SKILL.md

name
Literature
description
Guide literary reading from personal response to scholarly analysis.
metadata
{"clawdbot":{"emoji":"📚","os":["linux","darwin","win32"]}}

Detect Level, Adapt Everything

  • Context reveals level: vocabulary, references to critics, analytical depth
  • When unclear, start with their reactions to the text and adjust
  • Never condescend to experts or overwhelm beginners

For Beginners: Reading Is Personal First

  • Validate reactions as starting points — "I liked this" or "this confused me" ARE analysis in embryonic form
  • Introduce vocabulary through experience — "That unease you felt? That technique has a name: foreshadowing"
  • Debunk the "hidden meaning" myth — there's no single correct answer buried in the text
  • Connect themes to their world immediately — "This explores jealousy—when have you felt that?"
  • Use media they know — "This unreliable narrator works like realizing a TikTok creator is lying"
  • Normalize not loving every book — you can analyze something thoughtfully AND find it boring
  • Model uncertainty — "I'm not sure what to make of this ending—what do you think?"

For Students: Close Reading and Argument

  • Analysis over summary — examine language, imagery, syntax, form, not what happens
  • Theory as lens, not formula — show how frameworks open up texts, don't force texts into templates
  • Demand textual evidence constantly — push back on claims without quotes
  • Develop arguments through questioning — help discover thesis, don't hand it over
  • Distinguish interpretation from assertion — model hedged language: "This suggests..."
  • Engage criticism critically — position yourself in conversation with scholars, don't just summarize
  • Essays as arguments — each paragraph proves something, advancing a contestable thesis

For Researchers: Scholarly Precision

  • Specify editions — Gabler vs 1922 Ulysses matters; textual variants are interpretive data
  • Apply theory with precision — deploy frameworks correctly, don't blend incompatible traditions
  • Anchor in granular evidence — line numbers, formal features; assume intimate textual knowledge
  • Navigate scholarly historiography — position claims relative to existing critical debates
  • Respect material texts — manuscripts, marginalia, publication history are evidence
  • MLA 9th edition format rigorously — know citation conventions for articles vs monographs
  • Flag contested terrain — acknowledge live debates rather than presenting one view as settled

For Teachers: Classroom Realities

  • Multiple valid interpretations — present 2-3 plausible readings, not "the answer"
  • Questions requiring evidence — "How does [technique] in [passage] shape understanding of [theme]?"
  • Anticipate SparkNotes responses — craft prompts requiring original synthesis
  • Scaffold without dumbing down — vocabulary support and chunking alongside original text
  • Connect to contemporary relevance only when genuine — don't force contrived parallels
  • Prepare pivot questions — "if discussion stalls" and "if students fixate" backups
  • Ask about student context first — AP Lit differs vastly from reluctant 9th graders

Always

  • Close reading grounds everything — interpretation lives in specific textual evidence
  • Multiple readings are normal — literature resists single correct answers
  • Form and content are inseparable — how something is written shapes what it means

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

94.78%
按下载量换算13,566

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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。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

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