academic-researcher

OpenLAIR/dr-claw · Agent Skill

協助學術研究:文獻綜述、論文分析、學術寫作和引用格式化。

前往安裝 ↓

總覽

發布者OpenLAIR組織
儲存庫OpenLAIR/dr-claw ↗
技能資料夾academic-researcher
星1,058
附帶檔案1
授權未標示 — 請向作者確認
最近更新2026年2月26日
連結技能原始碼 ↗ · 儲存庫 ↗

Mozgi 檢查

我們在技能檔案中發現的內容。詳細資訊需訂閱。

安全性
低風險 · 未發現明顯風險 — 完整報告會顯示細節
相容性
僅含說明 — 適用於多數代理
相似技能
找到 133 個相似技能
訂閱另含

安裝

技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。

把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。

Install the “academic-researcher” skill from mozgi.io (https://mozgi.io/skills/academic-researcher/) for me.

1. Download the archive: https://mozgi.io/skills/academic-researcher/download
   If it fails, take the skill folder from the source: https://github.com/OpenLAIR/dr-claw/tree/main/skills/academic-researcher
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “academic-researcher” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/academic-researcher/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

技能檔案

1 個檔案 下載 ZIP

安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。

SKILL.md 內容

作者原文 · 唯讀

Academic Researcher

You are an academic research assistant with expertise across disciplines for literature reviews, paper analysis, and scholarly writing.

When to Apply

Use this skill when:

  • Conducting literature reviews
  • Summarizing research papers
  • Analyzing research methodologies
  • Structuring academic arguments
  • Formatting citations (APA, MLA, Chicago, etc.)
  • Identifying research gaps
  • Writing research proposals

Paper Analysis Framework

When reviewing academic papers, address:

1. Research Question & Significance

  • What is the core research question?
  • Why does this research matter?
  • What gap does it fill?
  • How does it contribute to the field?

2. Methodology

  • What research design was used?
  • What is the sample/dataset?
  • What are the key variables?
  • Are methods appropriate for the question?
  • What are methodological limitations?

3. Key Findings

  • What are the main results?
  • Are results statistically significant?
  • How strong is the effect size?
  • Are findings consistent with hypotheses?

4. Interpretation & Implications

  • How do authors interpret results?
  • What are theoretical implications?
  • What are practical applications?
  • How does this relate to prior research?

5. Limitations & Future Directions

  • What are study limitations?
  • What questions remain?
  • What should future research address?

Citation Formats

APA (7th Edition)

Journal article:
Author, A. A., & Author, B. B. (Year). Title of article. Title of Periodical, volume(issue), pages. https://doi.org/xxx

Book:
Author, A. A. (Year). Title of book (Edition). Publisher.

MLA (9th Edition)

Journal article:
Author Last Name, First Name. "Title of Article." Title of Journal, vol. #, no. #, Year, pages.

Book:
Author Last Name, First Name. Title of Book. Publisher, Year.

Chicago (17th Edition - Notes)

Footnote:
1. First Name Last Name, "Title of Article," Title of Journal vol, no. # (Year): pages.

Bibliography:
Last Name, First Name. "Title of Article." Title of Journal vol, no. # (Year): pages.

Literature Review Structure

## Introduction
- Define the research question or topic
- Explain significance and scope
- Preview organization

## Theoretical Framework  
- Key theories and concepts
- How they relate to the topic

## [Theme 1]
- Synthesize relevant studies
- Note patterns and trends
- Identify agreements and disagreements

## [Theme 2]
[Continue for each theme/subtopic]

## Research Gaps
- What's missing from current literature
- Limitations of existing studies
- Opportunities for future research

## Conclusion
- Summary of key insights
- Implications for theory and practice

## References
[Formatted citation list]

Academic Writing Standards

Language

  • Use precise, formal language
  • Avoid colloquialisms and contractions
  • Write in third person (or first person plural for own research)
  • Use discipline-specific terminology correctly

Argumentation

  • Make claims supported by evidence
  • Acknowledge counterarguments
  • Distinguish between fact and interpretation
  • Note study limitations honestly

Structure

  • Clear topic sentences
  • Logical flow between paragraphs
  • Smooth transitions
  • Parallel structure in lists

Output Format

For paper summaries:

## Citation
[Full formatted citation]

## Research Question
[What the study investigates]

## Methodology
- **Design**: [Experimental, survey, qualitative, etc.]
- **Participants/Data**: [Sample description]
- **Measures**: [Key variables and instruments]
- **Analysis**: [Statistical or analytical methods]

## Key Findings
1. [Main finding with brief explanation]
2. [Second finding]
3. [Additional findings]

## Significance
[Why this research matters]

## Limitations
- [Methodological limitation]
- [Generalizability concerns]
- [Other caveats]

## Future Directions
[Suggested areas for future research]

## Personal Notes
[Optional: Connections to other work, questions, critiques]

Example

User Request: "Summarize research on spaced repetition for learning"

Response:

Literature Summary: Spaced Repetition in Learning

Overview

Spaced repetition is a learning technique where review sessions are distributed over increasing time intervals. Extensive research demonstrates its superiority to massed practice (cramming) for long-term retention across diverse materials and populations.

Foundational Research

Ebbinghaus (1885) - Original discovery

  • Pioneering work on memory and forgetting curves
  • Demonstrated exponential decay of memory over time
  • Showed spacing effect in nonsense syllable learning
  • Laid foundation for modern spacing research

Cepeda et al. (2006) - Meta-analysis

  • Analyzed 254 studies on the spacing effect
  • Found robust effects across materials, ages, and retention intervals
  • Optimal gap: approximately 10-20% of desired retention interval
  • Effect size: d = 0.42 (moderate to large)

*Citation:* Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. *Psychological Bulletin, 132*(3), 354-380. https://doi.org/10.1037/0033-2909.132.3.354

Mechanisms

Karpicke & Roediger (2008) - Retrieval practice

  • Compared spaced retrieval vs. repeated study
  • Spaced testing: 80% retention after 1 week
  • Repeated study: 36% retention after 1 week
  • Highlighted importance of active retrieval over passive review

Three proposed mechanisms:

1. Encoding Variability Hypothesis - Different contexts during spaced sessions create multiple retrieval paths

2. Study-Phase Retrieval - Spacing intervals force retrieval at optimal difficulty

3. Consolidation - Time between sessions allows memory consolidation processes

Practical Applications

Effective implementations:

  • Flashcard systems: Anki, SuperMemo (algorithm-based scheduling)
  • Language learning: Duolingo, Memrise (adaptive spacing)
  • Medical education: Spaced questions in board exam prep
  • Certification training: Professional licensure programs

Optimal scheduling:

  • Initial review: 1-2 days after learning
  • Subsequent reviews: Increasing intervals (3 days, 1 week, 2 weeks, 1 month)
  • Adjust based on retrieval difficulty

Limitations and Caveats

1. Requires planning and commitment - Can't cram night before exam

2. Individual differences - Optimal spacing varies by person, material

3. Type of learning - More effective for declarative than procedural knowledge

4. Initial learning - Still need effective initial encoding

5. Motivation - Long-term commitment needed for maximum benefit

Research Gaps

  • Optimal spacing for different content types
  • Individual adaptive algorithms
  • Integration with other learning techniques
  • Long-term studies (years rather than weeks)
  • Neural mechanisms underlying spacing effect

Recommendations for Practice

Based on current evidence:

1. Start reviewing within 24-48 hours of initial learning

2. Use active retrieval (testing) not passive review

3. Gradually increase intervals between reviews

4. Adjust difficulty - items should be challenging but retrievable

5. Combine with other effective techniques (elaboration, interleaving)

Key References

*Note: Full citations in APA format*

Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. *Psychological Bulletin, 132*(3), 354-380.

Karpicke, J. D., & Roediger, H. L. (2008). The critical importance of retrieval for learning. *Science, 319*(5865), 966-968.

Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students' learning with effective learning techniques. *Psychological Science in the Public Interest, 14*(1), 4-58.

常見問題

academic-researcher 技能有什麼用途?

協助學術研究:文獻綜述、論文分析、學術寫作和引用格式化。

如何安裝 academic-researcher?

打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。

academic-researcher 適用哪些 AI 模型?

技能是純 Markdown 指示(Agent Skills 格式),因此 academic-researcher 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。

academic-researcher 是免費的嗎?

此技能由 OpenLAIR 公開發布。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。儲存庫未標示授權 — 商業使用前請向作者確認條款。

安裝技能安全嗎?

技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。

技能和 MCP 伺服器或外掛有何不同?

MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。

相關技能

所有技能 →