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Agent Skill · 研究检索

disciplinary-writing-scaffold(学科写作支架)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

disciplinary-writing-scaffold 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 72,863。

总安装 186周安装 8GitHub Stars 194下载 65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
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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:disciplinary-writing-scaffold(学科写作支架)
来源仓库:https://github.com/garethmanning/claude-education-skills
仓库路径:skills/disciplinary-writing-scaffold
安装命令:
npx skills add https://github.com/garethmanning/claude-education-skills --skill disciplinary-writing-scaffold
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/garethmanning/claude-education-skills --skill disciplinary-writing-scaffold

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。

用于生成特定学科写作模板,如实验报告、历史论证或文学分析。适合按学科惯例组织内容结构,而非套用通用文章格式。使用时需保留项目事实与路径,避免将未确认信息写成确定结论。安装前请确认权限范围和维护状态,注意可能触发文件读写和网络请求。

disciplinary-writing-scaffold 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/disciplinary-writing-scaffold

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/garethmanning/claude-education-skills --skill…;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

disciplinary-writing-scaffold 怎么安装?

在终端执行 npx skills add https://github.com/garethmanning/claude-education-skills --skill disciplina…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

disciplinary-writing-scaffold 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。

disciplinary-writing-scaffold 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。

disciplinary-writing-scaffold 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。

disciplinary-writing-scaffold 用的人多吗?

公开数据是累计安装 186 次,近一周安装 8 次,下载 65 次,GitHub 194 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。

disciplinary-writing-scaffold 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
disciplinary-writing-scaffold

学科写作支架 · 本页

186194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

Disciplinary Writing Scaffold

What This Skill Does

Produces a scaffold for a specific disciplinary writing genre — a lab report, a historical argument, a literary analysis, a mathematical explanation, a geographical case study — that reflects the actual conventions of that discipline rather than applying a generic "essay structure." Each discipline has its own way of constructing knowledge through writing: scientists write to report and explain phenomena through evidence; historians write to interpret and argue about significance; literary critics write to analyse authorial craft and effect. A science scaffold that looks like an English essay scaffold has failed. The output includes the structural scaffold, a discipline-specific language toolkit (vocabulary, sentence starters, hedging language, connectives), an annotated model, and differentiation options. AI is specifically valuable here because most teachers are experts in their discipline's content but not its writing conventions — they know what good disciplinary writing looks like but struggle to make its features explicit and teachable.

Evidence Foundation

Halliday (1993) and the systemic functional linguistics tradition established that language is not a neutral container for content — different disciplines use language differently because they construct knowledge differently. Science writing uses nominalisation (turning processes into things: "the water evaporated" becomes "evaporation"), passive voice, and hedging language because these features serve scientific purposes (objectivity, precision, tentativeness). Historical writing uses evaluative language, causal connectives, and qualification because historians construct arguments about significance. Martin & Rose (2008) mapped the genres used across school disciplines, showing that each subject requires students to write in multiple genres with distinct structural and linguistic features. Christie & Derewianka (2008) demonstrated that students' ability to write in disciplinary genres develops across schooling and requires explicit instruction — students do not naturally acquire the language features of scientific or historical writing just by reading examples. Graham & Perin (2007) found that explicit teaching of text structures is one of the most effective writing interventions (effect size 0.82). Shanahan & Shanahan (2008) argued that literacy instruction must become increasingly discipline-specific as students progress — generic reading and writing strategies are insufficient for advanced disciplinary learning.

Input Schema

The teacher must provide:

  • Writing task: What students must write. *e.g. "Write a conclusion for the enzyme experiment" / "Explain why the Weimar Republic failed" / "Analyse how Shakespeare presents Lady Macbeth in Act 1, Scene 5" / "Explain why your answer to the problem is correct"*
  • Discipline: The subject area. *e.g. "Science (Biology)" / "History" / "English Literature" / "Mathematics"*
  • Student level: Year group and writing competence. *e.g. "Year 8, can write in paragraphs but their science writing reads like storytelling — 'we put the enzyme in and then it fizzed'"*

Optional (injected by context engine if available):

  • Genre: The specific genre (if known)
  • Student profiles: Writing levels, language proficiency, EAL status
  • Assessment criteria: Marking criteria or rubric
  • Model text: An exemplar students have seen

Prompt

You are an expert in disciplinary literacy and genre pedagogy, with deep knowledge of systemic functional linguistics (Halliday, 1993; Martin & Rose, 2008), Christie & Derewianka's (2008) research on school writing development, and Shanahan & Shanahan's (2008) work on disciplinary literacy. You understand that writing is not a generic skill — each discipline constructs knowledge through writing differently, and students must be taught the specific structural and linguistic features of their discipline's genres.

Your task is to generate a disciplinary writing scaffold for:

**Writing task:** {{writing_task}}
**Discipline:** {{discipline}}
**Student level:** {{student_level}}

The following optional context may or may not be provided. Use whatever is available; ignore any fields marked "not provided."

**Genre:** {{genre}} — if not provided, identify the most appropriate disciplinary genre for this task (e.g., a science explanation, a historical argument, a literary analysis) and name it explicitly.
**Student profiles:** {{student_profiles}} — if not provided, design for a mixed-ability class that can write in paragraphs but hasn't been explicitly taught the conventions of this disciplinary genre.
**Assessment criteria:** {{assessment_criteria}} — if not provided, infer the likely assessment focus from the task and discipline.
**Model text:** {{model_text}} — if provided, use it as the basis for the annotated model. If not, generate a brief example.

Apply these evidence-based principles:

1. **Discipline-specific structure (Martin & Rose, 2008):**
   - Each discipline has characteristic genres with specific structural stages. Use the actual genre structure, not a generic essay template.
   - Science explanation: Phenomenon → Explanation sequence → Summary
   - Science lab report: Aim → Hypothesis → Method → Results → Discussion → Conclusion
   - Historical argument: Context → Thesis → Argument paragraphs (evidence + analysis) → Counter-argument → Judgement
   - Literary analysis: Context → Thesis → Close reading paragraphs (quotation + analysis of technique + effect) → Conclusion
   - Mathematical explanation: Statement → Working/proof → Justification → Conclusion
   - Geographical case study: Location/context → Description → Explanation → Evaluation/implications
   - Name the genre explicitly and explain its purpose: "In science, an explanation text answers HOW or WHY something happens."

2. **Discipline-specific language features (Halliday, 1993; Christie & Derewianka, 2008):**
   - Identify the key language features of this discipline's genre and teach them explicitly:
     - Science: nominalisation, passive voice, hedging ("suggests," "indicates"), technical vocabulary, causal connectives ("because," "as a result," "this leads to")
     - History: evaluative language ("significant," "decisive"), temporal connectives, qualification ("to some extent"), attribution ("According to...")
     - English Literature: analytical verbs ("suggests," "conveys," "implies"), language about technique ("metaphor," "juxtaposition"), effect language ("This creates a sense of...")
     - Mathematics: logical connectives ("therefore," "since," "if...then"), precision language, conditional statements
   - Provide these as a language toolkit students can draw from.

3. **Make the PURPOSE of each section explicit (Hillocks, 2011; Graham & Perin, 2007):**
   - Each section of the scaffold should explain WHY it's there — what work it does in the discipline.
   - "In a science conclusion, you explain what the results MEAN — not what happened (that's in your results section), but what it tells us about the scientific concept."

4. **Sentence starters that model disciplinary thinking (Shanahan & Shanahan, 2008):**
   - Sentence starters should model how experts in the discipline think and write.
   - Science: "The data suggests that..." / "This supports the hypothesis because..."
   - History: "The most significant factor was... because..." / "While [counter-argument], the evidence indicates..."
   - English: "Shakespeare uses [technique] to suggest..." / "The word '[quotation]' creates a sense of..."
   - These are NOT generic writing starters — they encode disciplinary reasoning.

Return your output in this exact format:

## Disciplinary Writing Scaffold: [Genre] in [Discipline]

**For:** [Student level]
**Task:** [The writing task]
**Genre:** [Named genre with one-sentence explanation of its purpose in the discipline]

### The Scaffold

[Complete structural scaffold with labelled sections, purpose of each section, guiding prompts, and discipline-specific sentence starters]

### Language Toolkit

**Key vocabulary:** [Discipline-specific terms needed for this task]
**Sentence starters:** [Organised by section of the scaffold]
**Connectives:** [Discipline-appropriate linking language]
**Hedging/qualifying language:** [If relevant to the discipline — especially important in science and history]

### Annotated Model

[A brief annotated example — one section or paragraph — showing the scaffold in use with disciplinary language features labelled]

### Differentiation

**Support:** [How to modify for weaker writers or EAL students — additional scaffolding, reduced sections, sentence frames]
**Extension:** [How to challenge stronger writers — removing scaffolds, requiring more sophisticated language features]

**Self-check before returning output:** Verify that (a) the scaffold reflects the actual genre structure of the discipline, not a generic essay template, (b) language features are discipline-specific, (c) sentence starters model disciplinary thinking, not just grammatical structure, (d) each section explains its purpose within the discipline, (e) the annotated model demonstrates realistic student-level writing, and (f) the scaffold would look different if the discipline changed — it is genuinely discipline-specific.

Example Output

Scenario: *Writing task: "Write a conclusion for your enzyme experiment (investigating the effect of temperature on amylase activity)" / Discipline: "Science (Biology)" / Student level: "Year 8, can write in paragraphs but their science writing reads like a narrative — 'we heated it up and it went faster then we heated it more and it stopped working'"*


Disciplinary Writing Scaffold: Experimental Conclusion in Science

For: Year 8 Science (Biology) Task: Write a conclusion for the enzyme experiment (effect of temperature on amylase activity) Genre: Experimental conclusion — a section of a lab report where you explain what your results MEAN in terms of the scientific concept. The conclusion answers "What does this tell us?" not "What did we do?"

The Scaffold

Section 1: State the finding (2–3 sentences) *Purpose: Tell the reader what your results showed — the pattern or trend — clearly and precisely. This is NOT a description of what you did. It's a statement of what you FOUND.*

Guiding prompts:

  • What was the overall pattern in your results?
  • At which temperature did amylase work fastest?
  • What happened at temperatures above and below this point?

Sentence starters:

  • "The results show that..."
  • "As temperature increased from [X]°C to [Y]°C, the rate of amylase activity..."
  • "The optimum temperature for amylase was approximately [X]°C, as shown by..."

Do NOT write: "First we set up the test tubes and then we added the amylase..." — that's your method, not your conclusion.


Section 2: Explain the science (3–4 sentences) *Purpose: Explain WHY you got these results using your scientific knowledge. This is the most important part of your conclusion — it's where you connect your results to the biology. Anyone can describe what happened; a scientist explains why.*

Guiding prompts:

  • Why did enzyme activity increase as temperature rose (up to the optimum)?
  • Why did enzyme activity decrease at very high temperatures?
  • What happened to the enzyme's structure?

Sentence starters:

  • "This can be explained by..."
  • "At lower temperatures, the enzyme molecules had less kinetic energy, which means..."
  • "At temperatures above [X]°C, the enzyme became denatured, meaning..."
  • "The active site changed shape, so the substrate could no longer..."

Key science language to use: kinetic energy, collisions, active site, substrate, denatured, optimum temperature. Use these terms — they show you understand the science, not just the experiment.


Section 3: Evaluate — link to your hypothesis (1–2 sentences) *Purpose: Say whether your results supported or contradicted your hypothesis, and why. Scientists always check their findings against their predictions.*

Sentence starters:

  • "These results support / do not support the hypothesis that..."
  • "The hypothesis predicted that... and the results confirm / contradict this because..."

Section 4: Acknowledge limitations (1–2 sentences) *Purpose: Identify one thing that may have affected your results. This is not admitting failure — it's showing scientific thinking. Real scientists always consider what might have influenced their data.*

Sentence starters:

  • "However, the results may have been affected by..."
  • "A limitation of this experiment was..."
  • "To improve reliability, the experiment could be repeated with..."

Language Toolkit

Key vocabulary: enzyme, substrate, active site, denatured, optimum temperature, kinetic energy, rate of reaction, collisions, lock-and-key model

Sentence starters by section:

SectionStarters
Finding"The results show that..." / "The data indicates that..." / "The rate of reaction was highest at..."
Explanation"This can be explained by..." / "This occurred because..." / "At the molecular level..."
Hypothesis link"These results support the hypothesis that..." / "This is consistent with the prediction that..."
Limitations"However, a source of error may have been..." / "The reliability could be improved by..."

Causal connectives: because, therefore, as a result, this means that, consequently, due to, which leads to, this suggests that

Hedging language: suggests, indicates, may have, it is likely that, the data appears to show — *use these because scientists express findings carefully, not as absolute certainties*

Annotated Model

*One conclusion paragraph with disciplinary language features labelled:*

[Finding] The results show that amylase activity increased as temperature rose from 20°C to 40°C, with the highest rate of starch breakdown occurring at approximately 37°C. [Explanation — connecting to science] This can be explained by the kinetic energy of the enzyme and substrate molecules. [Causal reasoning] As temperature increased, the molecules moved faster and collided more frequently with the active site, increasing the rate of reaction. [Explanation of high-temperature results] However, at temperatures above 50°C, amylase activity decreased sharply. [Scientific explanation] This is because the high temperatures caused the enzyme to denature — the active site changed shape, so the starch substrate could no longer bind to it. [Hedging language] The data suggests that the optimum temperature for amylase is close to 37°C, which is consistent with its function in the human body at normal body temperature. [Hypothesis link] These results support the hypothesis that enzyme activity increases with temperature up to an optimum, then decreases due to denaturation.

*Note: This paragraph uses scientific vocabulary (kinetic energy, active site, denature, substrate), causal connectives (because, as a result), and hedging language (suggests, approximately). It does NOT narrate the experiment — it explains the science behind the results.*

Differentiation

Support (for students who write narratively or have limited scientific vocabulary):

  • Provide a cloze version of the scaffold: "The results show that amylase worked fastest at ___°C. This is because at higher temperatures, the enzyme molecules had more ___, so they ___ with the substrate more often."
  • Reduce to Sections 1 and 2 only (finding + explanation). Add evaluation and limitations once the basic structure is secure.
  • Provide a glossary of key terms with student-friendly definitions alongside the scaffold.
  • For EAL students: pair the sentence starters with a visual diagram of the lock-and-key model — connect the language to the image.

Extension (for students writing competently):

  • Remove sentence starters — challenge students to construct their own scientific language.
  • Require engagement with anomalous results: "Your result at 60°C was higher than expected. Suggest a reason and explain how you would investigate it."
  • Ask students to compare their findings with published data on amylase and explain any differences.
  • Introduce the concept of statistical significance: "Can you be confident in your conclusion based on one set of results? What would strengthen it?"

Known Limitations

  1. The scaffold reflects general disciplinary conventions, not school-specific requirements. Different exam boards, curricula, and teachers may have specific expectations for lab report conclusions that differ from the general scientific conventions the scaffold teaches. Teachers should review the output against their specific assessment criteria and modify where needed.
  2. Disciplinary writing conventions exist on a spectrum, not in rigid categories. The scaffold presents clear genre structures, but real disciplinary writing is more fluid — a historical argument might include scientific evidence, a literary analysis might draw on historical context. The scaffold teaches the core genre conventions first; blending genres is an advanced skill that should come after students have mastered the basic structures.
  3. Writing scaffolds cannot replace content knowledge. A student who doesn't understand why enzymes denature at high temperatures cannot write a good science conclusion, no matter how strong the scaffold. The scaffold structures the expression of understanding — it cannot create understanding where none exists. Teachers should ensure the science (or history, or literary understanding) is secure before asking students to write about it.

平台分布

Codex

34.98%
按下载量换算23

Claude

33.44%
按下载量换算22

Cursor

18.98%
按下载量换算12

Gemini CLI

9.87%
按下载量换算6

安全审计

Gen Agent Trust Hub

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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