Agent skill

Academic Study Methods

by wentorai in wentorai/research-plugins

Evidence-based study techniques for academic learning and retention

MITAuto-check passedEducation

Install Academic Study Methods

skills CLI
$ npx skills add wentorai/research-plugins --skill academic-study-methods -a claude-code

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

GitHub CLI
$ gh skill install wentorai/research-plugins academic-study-methods --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/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/domains/education/academic-study-methods .claude/skills/academic-study-methods && 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-study-methods
GitHub stars
298
Used in
1 other repo
Token cost
~1.8k tokens
SKILL.md length
265 words
Files
1
Skills in repo
428
Repo updated
First seen
Licence
MIT

At a glance

Evidence-based study techniques for academic learning and retention

  • Works in 5 steps: Active Recall (Practice Testing) → Spaced Repetition → Interleaving → …
  • Tasks that involve Study guides and flashcards
  • SKILL.md covers Overview, Effectiveness Ranking, Core Techniques and Weekly Study Schedule Template, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Academic Study Methods is an agent skill from wentorai/research-plugins. Evidence-based study techniques for academic learning and retention

Its SKILL.md is about 1.8k 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 Education, covering Study guides and flashcards. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

  • Tasks that involve Study guides and flashcards

Example prompts

  • “/academic-study-methods”

Workflow steps

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

  1. Active Recall (Practice Testing)
  2. Spaced Repetition
  3. Interleaving
  4. Elaborative Interrogation
  5. The Feynman Technique

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. 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

    Links to these hosts (documentation or services it may open):

    • apps.ankiweb.net

    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 Study Methods loads about 1.8k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 265 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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 wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 265 words, ~1,849 tokens.

Download SKILL.mdSave it as .claude/skills/academic-study-methods/SKILL.md (or your agent's skills folder).
name
academic-study-methods
description
Evidence-based study techniques for academic learning and retention

Evidence-Based Academic Study Methods

Overview

Decades of cognitive psychology research have identified which study techniques reliably improve learning and retention, and which popular methods are largely ineffective. This guide covers the most effective evidence-based strategies — spaced repetition, active recall, interleaving, elaboration, and concrete examples — with practical implementation advice for graduate students and researchers.

Effectiveness Ranking

Based on Dunlosky et al. (2013) comprehensive review of 10 learning techniques:

TechniqueEffectivenessEffortWhy It Works
Practice testing (active recall)HighMediumStrengthens retrieval pathways
Distributed practice (spacing)HighLowExploits spacing effect in memory consolidation
Interleaved practiceModerate-HighMediumImproves discrimination between concepts
Elaborative interrogationModerateLowGenerates explanatory connections
Self-explanationModerateMediumForces integration with prior knowledge
SummarizationLowMediumToo passive; rarely deep enough
HighlightingLowLowCreates illusion of learning
RereadingLowLowRecognition ≠ recall
Keyword mnemonicLow-ModerateHighWorks for vocabulary, not concepts

Core Techniques

1. Active Recall (Practice Testing)

Instead of rereading notes, test yourself:

markdown
## Implementation Strategies

Flashcards:
  - Front: Question or concept name
  - Back: Full explanation (not just definition)
  - Tool: Anki (spaced repetition built-in)
  - Rule: If you can explain it without looking, you know it

Blank page method:
  1. Close all materials
  2. Write everything you know about a topic from memory
  3. Open materials and identify gaps
  4. Focus next study session on the gaps

Practice problems:
  - Work through problems WITHOUT looking at solutions first
  - Check solutions only after attempting
  - Struggle is productive — it strengthens memory

Cornell Notes method:
  | Cue Column (30%) | Notes Column (70%)            |
  |-------------------|-------------------------------|
  | Key questions      | Detailed notes from lecture    |
  | After class:       | Cover notes, use cues to recall|
  | Summary section at bottom (written from memory)     |
2. Spaced Repetition

Distribute study over time instead of cramming:

Cramming (massed practice):
  Day 1: Study 4 hours → Exam Day 2 → Forget by Day 10

Spaced practice:
  Day 1: Study 1 hour
  Day 3: Review 30 min
  Day 7: Review 20 min
  Day 14: Review 15 min → Retained for months

Optimal spacing intervals (expanding):
  1st review: 1 day after initial study
  2nd review: 3 days after 1st review
  3rd review: 7 days after 2nd review
  4th review: 21 days after 3rd review
  5th review: 63 days after 4th review

Anki settings for academic material:

Steps: 1 10 (learning steps in minutes)
Graduating interval: 1 day
Easy interval: 4 days
Starting ease: 250%
Maximum interval: 180 days (for course material)
                  365 days (for long-term knowledge)
New cards/day: 20-30 (adjust to workload)
3. Interleaving

Mix different topics or problem types in a single study session:

Blocked practice (less effective):
  Session 1: 20 calculus problems (all integration)
  Session 2: 20 calculus problems (all differentiation)

Interleaved practice (more effective):
  Session 1: Mix of integration, differentiation, and series problems
  Session 2: Same mix in different order

Why: Forces your brain to select the right strategy, not just apply
     the same procedure repeatedly
4. Elaborative Interrogation

Ask "why" and "how" questions while studying:

markdown
Instead of:
  "The hippocampus is involved in memory formation."

Ask yourself:
  - WHY is the hippocampus particularly suited for this role?
  - HOW does it interact with the prefrontal cortex?
  - What would happen IF the hippocampus were damaged?
  - How does this RELATE to what I learned about long-term potentiation?
  - Can I think of a CONCRETE EXAMPLE of this process?
5. The Feynman Technique
Step 1: Choose a concept
Step 2: Explain it as if teaching a 12-year-old
  - Use simple language
  - No jargon
  - Draw diagrams
Step 3: Identify gaps (where you stumble or use vague language)
Step 4: Go back to source material for those specific gaps
Step 5: Simplify and refine your explanation
Step 6: Repeat until you can explain it simply and completely

Weekly Study Schedule Template

markdown
## Semester Planning

For each course:
  Hours/week = Credit hours × 2-3 (e.g., 3-credit course = 6-9 hours)
  Split: 40% new material, 40% practice/problems, 20% review

## Weekly Template (Graduate Student)

Monday:    [Course A] New material + elaboration notes
Tuesday:   [Course B] New material + elaboration notes
Wednesday: [Course A] Practice problems (interleaved)
           [Course B] Spaced review (Anki)
Thursday:  [Research] Literature reading + annotation
Friday:    [Course B] Practice problems
           [Course A] Spaced review (Anki)
Saturday:  [Research] Writing + data analysis
Sunday:    Rest / light review (Anki only, 15 min)

Reading Academic Papers

markdown
## Three-Pass Method (Keshav 2007)

Pass 1 (5-10 min): Skim
  - Title, abstract, introduction, conclusions
  - Section headings and figure captions
  - Decide: relevant? Read further?

Pass 2 (30-60 min): Comprehend
  - Read everything except proofs/details
  - Annotate key claims and evidence
  - Note unfamiliar references to follow up
  - Summarize main contribution in your own words

Pass 3 (2-4 hours): Reproduce
  - Verify every assumption and derivation
  - Mentally re-create the work
  - Identify strengths and weaknesses
  - Note ideas for follow-up research

Exam Preparation

markdown
## 2-Week Exam Strategy

Week 2 before:
  - Review all lecture notes (one pass)
  - Create summary sheets per topic
  - Start Anki cards for key concepts
  - Identify weak areas from practice problems

Week 1 before:
  - Focus on weak areas identified
  - Work through past exams under timed conditions
  - Teach concepts to study partner
  - Daily Anki reviews (30 min)

Day before:
  - Light review only (30-60 min)
  - No new material
  - Prepare logistics (location, materials)
  - Sleep ≥ 7 hours (memory consolidation requires sleep)

Exam day:
  - Brief Anki review (10 min)
  - Arrive early, stay calm

References

  • Dunlosky, J., et al. (2013). "Improving students' learning with effective learning techniques." Psychological Science in the Public Interest, 14(1), 4-58.
  • Keshav, S. (2007). "How to Read a Paper." ACM SIGCOMM Computer Communication Review, 37(3), 83-84.
  • Brown, P. C., et al. (2014). Make It Stick: The Science of Successful Learning. Harvard UP.
  • Anki Spaced Repetition Software

© wentorai, 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/domains/education/academic-study-methods of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Academic Study Methods 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 Study Methods compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Academic Study Methods this skillwentorai/research-plugins2981 repos~1.8kAutomated safety check: PassMIT
Deep Reading Analystginobefun/deep-reading-analyst-skill3535 repos~3.6kAutomated safety check: PassMIT
NihaishaJuneYaooo/nihaisha-nishi-tcm2.2k—~4kAutomated safety check: PassNone
Claude Certification Tutorrohitg00/ai-engineering-from-scratch65k—~3kAutomated safety check: PassMIT
StudyVault Quiz Tutorbevibing/tutor-skills1.3k—~1.4kAutomated safety check: PassMIT
Project Mastery Coachtudoumashu/ai-memory-skillpack411—~1.8kAutomated safety check: PassMIT

Similar skills

  • Deep Reading Analyst

    ginobefun/deep-reading-analyst-skill

    Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems…

    353 GitHub starsUsed in 5 repos~3.6k tokens
    EducationAuto-check passed
  • Nihaisha

    JuneYaooo/nihaisha-nishi-tcm

    A skill your agent uses when the user asks about Ni Haisha / 倪海厦 TCM course material, especially Shang Han Lun / 伤寒论, Jingui / 金匮要略, Zhongjing Xinfa / 仲景心法, clinical cases / 临床案例 / 倪师医案, Bagang…

    2.2k GitHub stars~4k tokensUpdated 21 days ago
    EducationAuto-check passed
  • Claude Certification Tutor

    rohitg00/ai-engineering-from-scratch

    Guides a learner through one of four independent Claude certification tracks with onboarding, lessons, practice labs, mock exams and remediation.

    65k GitHub stars~3k tokensUpdated today
    EducationAuto-check passed
  • StudyVault Quiz Tutor

    bevibing/tutor-skills

    Quizzes you on the notes in an Obsidian StudyVault, tracks proficiency per concept and drills weak areas in four-question rounds.

    1.3k GitHub stars~1.4k tokensUpdated 7 mo ago
    EducationAuto-check passed
  • Project Mastery Coach

    tudoumashu/ai-memory-skillpack

    Train strict project ownership from repo-local docs/ai memory and central LLM Wiki project entities.

    411 GitHub stars~1.8k tokensUpdated 29 days ago
    EducationAuto-check passed
  • Turns a named classical Chinese chapter, such as one from the Tao Te Ching or the Analects, into a single annotated PNG image with notes and commentary.

    7.5k GitHub stars~551 tokensUpdated yesterday
    EducationAuto-check passed

More from wentorai/research-plugins

All 428 skills in this repo
  • Abstract Writing Guide

    wentorai/research-plugins

    Craft structured research abstracts that maximize clarity and journal acceptance

    298 GitHub starsUsed in 1 repo~1.7k tokens
    Auto-check passed
  • Academic Citation Manager

    wentorai/research-plugins

    Manage academic citations across BibTeX, APA, MLA, and Chicago formats

    298 GitHub starsUsed in 1 repo~2.7k tokens
    Auto-check passed
  • Academic Paper Summarizer

    wentorai/research-plugins

    Summarize academic papers with structured extraction of key elements

    298 GitHub starsUsed in 1 repo~1.4k tokens
    Auto-check passed
  • Academic Tone Guide

    wentorai/research-plugins

    Adjust writing tone and register for academic audiences and venues

    298 GitHub starsUsed in 1 repo~1.9k tokens
    Auto-check passed
  • Academic Translation Guide

    wentorai/research-plugins

    Academic translation, post-editing, and Chinglish correction guide

    298 GitHub starsUsed in 1 repo~1.6k tokens
    Auto-check passed
  • Academic Web Scraping

    wentorai/research-plugins

    Ethical web scraping and API-based data collection for research

    298 GitHub starsUsed in 1 repo~3k tokens
    Auto-check passed

Categories

Questions about Academic Study Methods

What does Academic Study Methods do?

Evidence-based study techniques for academic learning and retention. Academic Study Methods is an agent skill from wentorai/research-plugins.

When should I use Academic Study Methods?

Academic Study Methods fits situations like: tasks that involve Study guides and flashcards.

How do I install Academic Study Methods in Claude Code?

Run `npx skills add wentorai/research-plugins --skill academic-study-methods -a claude-code`. Or copy the skill folder (skills/domains/education/academic-study-methods in wentorai/research-plugins) into .claude/skills/academic-study-methods in your project. Claude Code loads it when a task matches its description.

How do I install Academic Study Methods in Codex?

Run `npx skills add wentorai/research-plugins --skill academic-study-methods -a codex`. Or copy the skill folder (skills/domains/education/academic-study-methods in wentorai/research-plugins) into .agents/skills/academic-study-methods in your project. Codex loads it when a task matches its description.

Can I use Academic Study Methods 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 wentorai/research-plugins --skill academic-study-methods -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-study-methods, .gemini/skills/academic-study-methods, .github/skills/academic-study-methods and .opencode/skills/academic-study-methods in your project.

What does Academic Study Methods need to run?

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

Does Academic Study Methods access the network?

SKILL.md names 1 domain. As links in the text: apps.ankiweb.net. This is read from the text; nothing was executed.

Is Academic Study Methods 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 Study Methods use?

Academic Study Methods 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 Study Methods use?

About 1.8k tokens (SKILL.md is roughly 7.4k 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 Study Methods?

Skills that share tags, products or a category with Academic Study Methods: Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 353 stars), Nihaisha (JuneYaooo/nihaisha-nishi-tcm, 2.2k stars), Claude Certification Tutor (rohitg00/ai-engineering-from-scratch, 65k stars) and StudyVault Quiz Tutor (bevibing/tutor-skills, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Academic Study Methods?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 428 skills in this directory. The repository was last updated on June 19, 2026.

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