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ivangdavila

Literature

作者 Iván · GitHub ↗ · v1.0.0
linuxdarwinwin32 ✓ 安全检测通过
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在 OpenClaw 中安装
/install literature
功能描述
Guide literary reading from personal response to scholarly analysis.
使用说明 (SKILL.md)

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
安全使用建议
This is a low-risk, instruction-only skill that tells the agent how to guide readers at different levels; it asks for no credentials and installs nothing. If you install it, be aware that it's a set of conversational rules — it will rely on the agent to follow them, not on external tools. If you plan to have the agent analyze copyrighted or sensitive texts, avoid pasting text you don't want processed externally. If you want the agent to access your private editions or files, you'll need to provide that content explicitly (the skill itself does not request file or network access). Overall this is coherent and proportionate to its stated purpose.
功能分析
Type: OpenClaw Skill Name: literature Version: 1.0.0 The skill bundle contains only metadata and a markdown file (`SKILL.md`) providing instructions for an AI agent on how to guide literary discussions. The `SKILL.md` content is entirely pedagogical and lacks any prompt injection attempts, commands, requests for sensitive data, or other indicators of malicious or suspicious behavior. No executable code or risky capabilities are present.
能力评估
Purpose & Capability
The name and description (guiding literary reading) match the SKILL.md content: conversational/teaching heuristics for beginners, students, researchers, and teachers. The skill does not request unrelated binaries, credentials, or configuration.
Instruction Scope
SKILL.md contains guidance about how the agent should adapt tone, ask questions, require textual evidence, and handle different audiences. It does not instruct the agent to read system files, access environment variables, call external endpoints, or exfiltrate data; scope stays within conversational pedagogy and analysis.
Install Mechanism
No install specification or code files are present; this is instruction-only, so nothing will be downloaded or written to disk by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. The instructions do not reference any hidden or additional secrets; requested access is proportional (none).
Persistence & Privilege
always is false and the skill is user-invocable with autonomous invocation allowed (the platform default). The skill does not request persistent privileges or attempt to modify other skills or system-wide settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install literature
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /literature 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug literature
版本 1.0.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Literature 是什么?

Guide literary reading from personal response to scholarly analysis. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1321 次。

如何安装 Literature?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install literature」即可一键安装,无需额外配置。

Literature 是免费的吗?

是的,Literature 完全免费(开源免费),可自由下载、安装和使用。

Literature 支持哪些平台?

Literature 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。

谁开发了 Literature?

由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。

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