academic-researcher

OpenLAIR/dr-claw · Agent Skill

Akademik araştırmalara yardımcı olur: literatür taraması, makale analizi, bilimsel yazım ve alıntı formatlama.

Kuruluma geç ↓

Genel bakış

YayıncıOpenLAIRKuruluş
DepoOpenLAIR/dr-claw ↗
Skill klasörüacademic-researcher
Yıldız1.058
Dosyalar1
Lisansbelirtilmemiş — yazara danışın
Son güncelleme26 Şubat 2026
BağlantılarSkill kaynağı ↗ · Depo ↗

Mozgi kontrolü

Skill dosyalarında bulduklarımız. Ayrıntılar abonelikle.

Güvenlik
düşük risk · belirgin risk bulunamadı — tam rapor ayrıntıları gösterir
Uyumluluk
yalnızca talimatlar — çoğu ajanla çalışır
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Abonelikte ayrıca

Kurulum

Skill, SKILL.md dosyası içeren bir klasördür. Ajanınızı seçin ve komutları proje kökünde bir terminalde çalıştırın (macOS, Linux veya Windows'ta Git Bash).

Promptu Claude, Codex veya başka bir asistana yapıştırın: skill'i inceleyip sizin için kuracaktır.

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.

Kaynak dosyaları

1 dosya ZIP indir

Kurulumdan önce SKILL.md ve eşlik eden dosyaları inceleyin. Önizleme için dosyaya tıklayın.

SKILL.md içeriği

Yazarın orijinal metni · salt okunur

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.

Sık sorulan sorular

academic-researcher skill'i ne yapar?

Akademik araştırmalara yardımcı olur: literatür taraması, makale analizi, bilimsel yazım ve alıntı formatlama.

academic-researcher nasıl kurulur?

Bu sayfadaki “Kurulum” bölümünü açın ve ajanınızı seçin — Claude Code, Codex, Cursor veya Gemini CLI: skill klasörünü doğru yere kopyalayan hazır komutlar orada. Ya da “Asistanla” sekmesindeki promptu kopyalayın; asistan skill'i inceleyip kuracaktır.

academic-researcher hangi yapay zekâlarla çalışır?

Skill'ler düz Markdown talimatlarıdır (Agent Skills formatı), bu yüzden academic-researcher SKILL.md okuyan her ajanla çalışır: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode ve diğerleri. Model talimatları yalnızca görev skill açıklamasına uyduğunda yükler.

academic-researcher ücretsiz mi?

Skill, OpenLAIR tarafından açık olarak yayımlandı. Skill'in kendisi ücretsizdir — yalnızca kullandığınız token'lar için yapay zekâ sağlayıcınıza ödeme yaparsınız. Depoda lisans belirtilmemiş — ticari kullanımdan önce koşulları yazara danışın.

Skill kurmak güvenli mi?

Skill, ajanınızın izleyeceği talimatlardır; kurmadan önce SKILL.md ve eşlik eden dosyaları okuyun. Skill klasöründeki betikler yalnızca ajanınız çalıştırırsa çalışır — ne yaptığını izleyin ve gereksiz izin vermeyin.

Skill, MCP sunucusu veya eklentiden nasıl farklıdır?

MCP sunucusu veya eklenti modele yeni araçlar verir — çalışıp sonuç döndüren kod. Skill ise bilgi ve süreç verir: göreve nasıl yaklaşılacağı, hangi adımların izleneceği ve iyi sonucun neye benzediği. Sunucu veya API anahtarı gerekmez.

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