Agent skill

Academic Researcher

by LigphiDonk in LigphiDonk/Oh-my--paper

Academic research assistant for literature reviews, paper analysis, and scholarly writing.

MITAuto-check passedResearch & Science

Install Academic Researcher

skills CLI
$ npx skills add LigphiDonk/Oh-my--paper --skill academic-researcher -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LigphiDonk/Oh-my--paper academic-researcher --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LigphiDonk/Oh-my--paper.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/academic-researcher .claude/skills/academic-researcher && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
academic-researcher
GitHub stars
739
Token cost
~2.5k tokens
SKILL.md length
875 words
Files
1
Skills in repo
27
Repo updated
First seen
Licence
MIT

At a glance

Academic research assistant for literature reviews, paper analysis, and scholarly writing.

  • Works in 5 steps: Research Question & Significance → Methodology → Key Findings → …
  • Tasks that involve Literature review
  • SKILL.md covers Canonical Summary, Trigger Rules, Resource Use Rules and Execution Contract, plus 9 more sections
  • Reaches doi.org

What it does

Academic Researcher is an agent skill from LigphiDonk/Oh-my--paper. Academic research assistant for literature reviews, paper analysis, and scholarly writing.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Literature review and Deep research. The repository describes itself as: A Claude Code plugin that turns your terminal into an autonomous research lab — literature survey, experiment execution, paper writing, all in one pipeline. The licence is MIT.

When your agent uses it

  • Tasks that involve Literature review
  • Tasks that involve Deep research

Example prompts

  • “/academic-researcher”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Research Question & Significance
  2. Methodology
  3. Key Findings
  4. Interpretation & Implications
  5. Limitations & Future Directions

What it can do on your machine

Read from SKILL.md and the folder at commit 6baece9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • doi.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Academic Researcher loads about 2.5k tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 875 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LigphiDonk/Oh-my--paper at commit 6baece9, republished under its MIT licence (© LigphiDonk). 875 words, ~2,545 tokens.

Download SKILL.mdSave it as .claude/skills/academic-researcher/SKILL.md (or your agent's skills folder).
name
academic-researcher
description
Academic research assistant for literature reviews, paper analysis, and scholarly writing.
id
academic-researcher
version
1.0.0
stages
survey, ideation
tools
read_file, search_project, write_file
summary
Academic research assistant for literature reviews, paper analysis, and scholarly writing. Use when: reviewing academic papers, conducting literature reviews…
primaryIntent
research
intents
research, writing
capabilities
search-retrieval
domains
cs-ai
keywords
academic-researcher, survey, search-retrieval, cs-ai, academic, researcher, research, assistant, literature, reviews, paper, analysis

academic-researcher

Canonical Summary

Academic research assistant for literature reviews, paper analysis, and scholarly writing. Use when: reviewing academic papers, conducting literature reviews, writing research summaries, analyzing methodologies, formatting citations, or wh...

Trigger Rules

Use this skill when the user request matches its research workflow scope. Prefer the bundled resources instead of recreating templates or reference material. Keep outputs traceable to project files, citations, scripts, or upstream evidence.

Resource Use Rules

  • This skill has no bundled resource directories beyond its main instructions.

Execution Contract

  • Resolve every relative path from this skill directory first.
  • Prefer inspection before mutation when invoking bundled scripts.
  • If a required runtime, CLI, credential, or API is unavailable, explain the blocker and continue with the best manual fallback instead of silently skipping the step.
  • Do not write generated artifacts back into the skill directory; save them inside the active project workspace.

Upstream Instructions

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

markdown
## 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:

markdown
## 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

Show full SKILL.md (329 more words)Show less
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.

© LigphiDonk, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/academic-researcher of LigphiDonk/Oh-my--paper.

Open the folder on GitHubat commit 6baece9

Compare with similar skills

Academic Researcher next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Academic Researcher compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Academic Researcher this skillLigphiDonk/Oh-my--paper739—~2.5kAutomated safety check: PassMIT
Deep Research WorkflowTokenRhythm/opensquilla7.1k—~1.3kAutomated safety check: PassApache-2.0
Deep Researchsanjay3290/ai-skills4329 repos~683Automated safety check: NotesApache-2.0
Academic Research PipelineImbad0202/academic-research-skills51k—~15kAutomated safety check: PassCustom licence
Academic Research Suite for CodexImbad0202/academic-research-skills-codex12k—~12kAutomated safety check: PassCustom licence
Deep Research Agent TeamImbad0202/academic-research-skills51k—~13kAutomated safety check: PassCustom licence

Similar skills

  • Deep Research Workflow

    TokenRhythm/opensquilla

    Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.

    7.1k GitHub stars~1.3k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Deep Research

    sanjay3290/ai-skills

    Execute autonomous multi-step research using Google Gemini Deep Research Agent.

    432 GitHub starsUsed in 9 repos~683 tokens
    Research & ScienceAuto-check: notes
  • Academic Research Pipeline

    Imbad0202/academic-research-skills

    Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.

    51k GitHub stars~15k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Academic Research Suite for Codex

    Imbad0202/academic-research-skills-codex

    A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.

    12k GitHub stars~12k tokensUpdated 7 days ago
    Research & ScienceAuto-check passed
  • Deep Research Agent Team

    Imbad0202/academic-research-skills

    Runs a 13-agent pipeline for rigorous academic research, from forming the question through systematic search, synthesis, bias checks and an APA 7.0 report.

    51k GitHub stars~13k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Bmad Deep Recon

    delorenj/mcp-server-trello

    Decision-grade research, three ways: draft a deep-research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), process a finished research report — file it, distill…

    445 GitHub stars~2.3k tokensUpdated 17 days ago
    Research & ScienceAuto-check passed

More from LigphiDonk/Oh-my--paper

All 27 skills in this repo
  • Preprint Search on bioRxiv

    LigphiDonk/Oh-my--paper

    Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.

    739 GitHub starsUsed in 12 repos~3.7k tokens
    Auto-check passed
  • Literature PDF OCR Library Builder

    LigphiDonk/Oh-my--paper

    Searches and downloads legally accessible academic PDFs, OCRs them to Markdown, and organizes the results into a traceable, AI-readable literature library.

    739 GitHub stars~1.1k tokensUpdated 5 mo ago
    Auto-check passed
  • Inno Code Survey

    LigphiDonk/Oh-my--paper

    Finds and clones missing code repositories for a chosen research idea, then writes a survey that maps academic concepts to their implementations.

    739 GitHub stars~3.6k tokensUpdated 5 mo ago
    Auto-check passed
  • Turns experimental data such as CSV, JSON or TensorBoard logs into statistical significance tests, visualizations and a drafted Results section.

    739 GitHub stars~3k tokensUpdated 5 mo ago
    Auto-check passed
  • Citation Verification Guide

    LigphiDonk/Oh-my--paper

    Lays out principles for catching fake, mismatched, or inconsistently formatted citations in academic writing, checked through live web search.

    739 GitHub stars~2.2k tokensUpdated 5 mo ago
    Auto-check passed
  • Single-Cell Initial Analysis

    LigphiDonk/Oh-my--paper

    Runs a seven-step quality-control and exploration pipeline on scRNA-seq, CyTOF or flow cytometry data and writes a plain-language report of what it found.

    739 GitHub starsUsed in 1 repo~1.4k tokens
    Auto-check passed

Questions about Academic Researcher

What does Academic Researcher do?

Academic research assistant for literature reviews, paper analysis, and scholarly writing. Academic Researcher is an agent skill from LigphiDonk/Oh-my--paper. Academic research assistant for literature reviews, paper analysis, and scholarly writing.

When should I use Academic Researcher?

Academic Researcher fits situations like: tasks that involve Literature review; tasks that involve Deep research.

How do I install Academic Researcher in Claude Code?

Run `npx skills add LigphiDonk/Oh-my--paper --skill academic-researcher -a claude-code`. Or copy the skill folder (skills/academic-researcher in LigphiDonk/Oh-my--paper) into .claude/skills/academic-researcher in your project. Claude Code loads it when a task matches its description.

How do I install Academic Researcher in Codex?

Run `npx skills add LigphiDonk/Oh-my--paper --skill academic-researcher -a codex`. Or copy the skill folder (skills/academic-researcher in LigphiDonk/Oh-my--paper) into .agents/skills/academic-researcher in your project. Codex loads it when a task matches its description.

Can I use Academic Researcher in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LigphiDonk/Oh-my--paper --skill academic-researcher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/academic-researcher, .gemini/skills/academic-researcher, .github/skills/academic-researcher and .opencode/skills/academic-researcher in your project.

What does Academic Researcher need to run?

SKILL.md names no scripts, command-line tools or credentials: Academic Researcher is instructions for the agent only.

Does Academic Researcher access the network?

SKILL.md names 1 domain. In commands or code: doi.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Academic Researcher safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Academic Researcher use?

Academic Researcher is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Academic Researcher use?

About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Academic Researcher?

Skills that share tags, products or a category with Academic Researcher: Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 432 stars), Academic Research Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Research Suite for Codex (Imbad0202/academic-research-skills-codex, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Academic Researcher?

LigphiDonk (a GitHub user) maintains it in LigphiDonk/Oh-my--paper, which has 739 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on April 15, 2026.

Source: LigphiDonk/Oh-my--paper on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.