Agent skill

Academic Search

by claude-office-skills in claude-office-skills/skills

Search and analyze academic literature. An agent skill from claude-office-skills/skills.

MITAuto-check passedResearch & Science

Install Academic Search

skills CLI
$ npx skills add claude-office-skills/skills --skill academic-search -a claude-code

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

GitHub CLI
$ gh skill install claude-office-skills/skills academic-search --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/claude-office-skills/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/academic-search .claude/skills/academic-search && 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-search
GitHub stars
505
Token cost
~2.2k tokens
SKILL.md length
492 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

Search and analyze academic literature. An agent skill from claude-office-skills/skills.

  • Works in 3 steps: Define Your Research Topic → Get Search Strategy → Analyze Findings
  • Tasks that involve Academic paper search
  • SKILL.md covers Overview, How to Use Me, Academic Databases and Search Query Formulation, plus 5 more sections
  • Reaches doi.org

What it does

Academic Search is an agent skill from claude-office-skills/skills. Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects.

Its SKILL.md is about 2.2k 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 Academic paper search and Experimental design. It works with arXiv. The repository describes itself as: A curated collection of practical Claude Skills for real-world office tasks. The licence is MIT.

When your agent uses it

  • Tasks that involve Academic paper search
  • Tasks that involve Experimental design

Example prompts

  • “/academic-search”

Workflow steps

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

  1. Define Your Research Topic
  2. Get Search Strategy
  3. Analyze Findings

What it can do on your machine

Read from SKILL.md and the folder at commit 9c4c7d5. 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 Search loads about 2.2k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 492 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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 claude-office-skills/skills at commit 9c4c7d5, republished under its MIT licence (© claude-office-skills). 492 words, ~2,205 tokens.

Download SKILL.mdSave it as .claude/skills/academic-search/SKILL.md (or your agent's skills folder).
name
academic-search
description
Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects.
version
1.0.0
author
claude-office-skills
license
MIT
category
research
tags
academic, papers, research, literature-review, citations
department
Research/Academia
models.recommended
claude-sonnet-4, claude-opus-4
models.compatible
claude-3-5-sonnet, gpt-4, gpt-4o
mcp.server
office-mcp
mcp.tools
create_docx, extract_text_from_pdf

Academic Search Skill

Overview

I help you navigate academic literature, find relevant papers, understand research methodologies, and synthesize findings for your research projects or literature reviews.

What I can do:

  • Formulate academic search queries
  • Recommend databases and search strategies
  • Analyze paper abstracts and summaries
  • Explain research methodologies
  • Help structure literature reviews
  • Identify research gaps

What I cannot do:

  • Access full-text papers (unless provided)
  • Execute actual database searches
  • Access paywalled journals
  • Conduct original research

How to Use Me

Step 1: Define Your Research Topic

Tell me:

  • Your research question or topic
  • Academic field/discipline
  • Scope (broad survey vs. specific topic)
  • Purpose (literature review, thesis, curiosity)
Step 2: Get Search Strategy

I'll provide:

  • Optimized search queries
  • Recommended databases
  • Key terms and synonyms
  • Search methodology
Step 3: Analyze Findings

If you share papers/abstracts, I can:

  • Summarize key findings
  • Explain methodologies
  • Identify themes and patterns
  • Help organize citations

Academic Databases

General Databases
DatabaseCoverageAccess
Google ScholarAll fieldsFree
Semantic ScholarAI-enhanced searchFree
Microsoft AcademicComputer Science focusFree
Web of ScienceHigh-impact journalsSubscription
ScopusComprehensiveSubscription
JSTORHumanities, social sciencesSubscription
Field-Specific Databases
FieldDatabaseNotes
MedicinePubMed, MEDLINEFree, comprehensive
Computer SciencearXiv, DBLP, ACM DLarXiv free
PhysicsarXiv, APS JournalsarXiv free
PsychologyPsycINFO, PsycArticlesSubscription
BusinessEBSCO, ProQuestSubscription
LawWestlaw, LexisNexisSubscription
EngineeringIEEE Xplore, ScienceDirectSubscription
Preprint Servers
ServerFields
arXivPhysics, Math, CS, Biology
bioRxivLife Sciences
medRxivMedical Sciences
SSRNSocial Sciences
ChemRxivChemistry

Search Query Formulation

Boolean Operators
AND: Both terms must appear
     "machine learning" AND healthcare

OR:  Either term can appear
     "deep learning" OR "neural network"

NOT: Exclude term
     climate change NOT politics

():  Group terms
     (AI OR "artificial intelligence") AND ethics
Advanced Techniques
1. PICO Framework (Medical/Health)
P - Population/Patient
I - Intervention
C - Comparison
O - Outcome

Example: "elderly patients" AND "exercise therapy" AND "cognitive function"
2. Concept Mapping
Main Concept: Machine Learning in Education
├── Synonyms: AI, artificial intelligence, deep learning
├── Related: adaptive learning, intelligent tutoring
└── Applications: personalization, assessment, analytics

Query: ("machine learning" OR "artificial intelligence" OR "deep learning") 
       AND (education OR learning OR "tutoring system")
3. Citation Chaining
Forward citation: Who cited this paper?
Backward citation: What did this paper cite?
→ Both methods help find related work
Search Filters
FilterUse Case
Date rangeRecent developments
Publication typeReview vs. empirical
AuthorExpert's work
JournalHigh-impact venues
LanguageSpecific language papers

Paper Analysis Framework

Reading Strategy: Three-Pass Method
Show full SKILL.md (203 more words)Show less
Pass 1: Survey (5-10 min)
  • Read title, abstract, introduction
  • Scan headings and figures
  • Read conclusion
  • Outcome: Decide if worth reading more
Pass 2: Understanding (30-60 min)
  • Read carefully but skip proofs/details
  • Note key points and questions
  • Understand figures and tables
  • Outcome: Grasp main contributions
Pass 3: Deep Dive (hours)
  • Virtually re-implement the work
  • Challenge every assumption
  • Identify strengths and weaknesses
  • Outcome: Expert-level understanding
Critical Analysis Questions
AspectQuestions
Research QuestionIs it clear? Important? Novel?
MethodologyAppropriate? Rigorous? Reproducible?
ResultsConvincing? Statistically valid?
LimitationsAcknowledged? How severe?
ContributionWhat's new? How significant?

Output Format

Search Strategy Output
markdown
# Academic Search Strategy: [Topic]

**Research Question**: [Your question]
**Field**: [Discipline]
**Date**: [Date]

---

## Search Queries

### Primary Query

[Optimized query with Boolean operators]


### Alternative Queries
1. `[Broader query]`
2. `[Narrower query]`
3. `[Related angle]`

---

## Recommended Databases

| Priority | Database | Rationale |
|----------|----------|-----------|
| 1 | [Database] | [Why] |
| 2 | [Database] | [Why] |
| 3 | [Database] | [Why] |

---

## Key Terms & Synonyms

| Concept | Terms to Search |
|---------|-----------------|
| [Concept 1] | term1, term2, term3 |
| [Concept 2] | term1, term2, term3 |

---

## Search Methodology

1. Start with [database] using [query]
2. Apply filters: [filters]
3. Review first [X] results by relevance
4. Use citation chaining on key papers
5. Search [database 2] for [specific aspect]

---

## Expected Paper Types

- Foundational/Classic papers
- Recent developments (last 2-3 years)
- Review/Survey articles
- Empirical studies
- Methodology papers

---

## Quality Indicators to Look For

- [ ] Peer-reviewed venue
- [ ] Citation count appropriate for age
- [ ] Reputable authors/institutions
- [ ] Clear methodology
- [ ] Reproducible results
Literature Review Output
markdown
# Literature Review: [Topic]

**Scope**: [What's covered]
**Papers Analyzed**: [Number]
**Date**: [Date]

---

## Overview

[Summary of the research landscape]

---

## Themes

### Theme 1: [Name]
[Summary of papers in this theme]

**Key Papers**:
- [Author] ([Year]): [Key finding]
- [Author] ([Year]): [Key finding]

### Theme 2: [Name]
[Summary of papers in this theme]

---

## Methodological Approaches

| Approach | Papers Using It | Pros | Cons |
|----------|-----------------|------|------|
| [Method 1] | [X] | | |
| [Method 2] | [X] | | |

---

## Key Findings

1. [Finding 1] - supported by [papers]
2. [Finding 2] - supported by [papers]
3. [Finding 3] - supported by [papers]

---

## Research Gaps

1. [Gap 1]: [Why it matters]
2. [Gap 2]: [Why it matters]

---

## Recommendations for Future Research

1. [Direction 1]
2. [Direction 2]

---

## References

[Formatted citations]

Citation Formats

APA 7th Edition
Author, A. A., & Author, B. B. (Year). Title of article. 
Journal Name, Volume(Issue), Page–Page. https://doi.org/xxxxx
IEEE
[1] A. Author and B. Author, "Title of article," Journal Name, 
vol. X, no. X, pp. XX–XX, Month Year.
Chicago
Author Last, First. "Title of Article." Journal Name Volume, 
no. Issue (Year): Page–Page.

Tips for Better Results

  1. Start with review articles to understand the landscape
  2. Use citation chaining - both forward and backward
  3. Check author profiles for related work
  4. Set up alerts for new papers on your topic
  5. Use reference managers (Zotero, Mendeley)
  6. Read abstracts first to filter efficiently
  7. Focus on recent + seminal papers

Limitations

  • Cannot access full-text papers directly
  • Cannot execute database searches
  • Knowledge has training cutoff
  • Cannot assess very recent publications
  • Cannot verify citation counts in real-time

Built by the Claude Office Skills community. Contributions welcome!

© claude-office-skills, 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 academic-search of claude-office-skills/skills.

Open the folder on GitHubat commit 9c4c7d5

Compare with similar skills

Academic Search 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 Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Academic Search this skillclaude-office-skills/skills505—~2.2kAutomated safety check: PassMIT
Academic Researchvoidful/academic-skills135—~887Automated safety check: PassMIT
Read arXiv Paperkarpathy/nanochat59k1 repos~494Automated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT

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  • Academic Research

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Works with

Questions about Academic Search

What does Academic Search do?

Search and analyze academic literature. An agent skill from claude-office-skills/skills. Academic Search is an agent skill from claude-office-skills/skills. Search and analyze academic literature.

When should I use Academic Search?

Academic Search fits situations like: tasks that involve Academic paper search; tasks that involve Experimental design.

How do I install Academic Search in Claude Code?

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

How do I install Academic Search in Codex?

Run `npx skills add claude-office-skills/skills --skill academic-search -a codex`. Or copy the skill folder (academic-search in claude-office-skills/skills) into .agents/skills/academic-search in your project. Codex loads it when a task matches its description.

Can I use Academic Search 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 claude-office-skills/skills --skill academic-search -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-search, .gemini/skills/academic-search, .github/skills/academic-search and .opencode/skills/academic-search in your project.

What does Academic Search need to run?

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

Does Academic Search 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 Search 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 Search use?

Academic Search is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Academic Search use?

About 2.2k tokens (SKILL.md is roughly 8.8k 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 Search?

Skills that share tags, products or a category with Academic Search: Academic Research (voidful/academic-skills, 135 stars), Read arXiv Paper (karpathy/nanochat, 59k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Openalex Database (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Academic Search?

claude-office-skills (a GitHub organization) maintains it in claude-office-skills/skills, which has 505 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on January 31, 2026.

Source: claude-office-skills/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.