Install the "academic-study-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/academic-study-methods into .claude/skills/academic-study-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-study-methods", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add wentorai/research-plugins --skill academic-study-methods -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "academic-study-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/academic-study-methods into .agents/skills/academic-study-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-study-methods", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add wentorai/research-plugins --skill academic-study-methods -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "academic-study-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/academic-study-methods into .cursor/skills/academic-study-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-study-methods", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add wentorai/research-plugins --skill academic-study-methods -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "academic-study-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/academic-study-methods into .gemini/skills/academic-study-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-study-methods", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add wentorai/research-plugins --skill academic-study-methods -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "academic-study-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/academic-study-methods into .github/skills/academic-study-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-study-methods", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add wentorai/research-plugins --skill academic-study-methods -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "academic-study-methods" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/academic-study-methods into .opencode/skills/academic-study-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-study-methods", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
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.
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.
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:
Technique
Effectiveness
Effort
Why It Works
Practice testing (active recall)
High
Medium
Strengthens retrieval pathways
Distributed practice (spacing)
High
Low
Exploits spacing effect in memory consolidation
Interleaved practice
Moderate-High
Medium
Improves discrimination between concepts
Elaborative interrogation
Moderate
Low
Generates explanatory connections
Self-explanation
Moderate
Medium
Forces integration with prior knowledge
Summarization
Low
Medium
Too passive; rarely deep enough
Highlighting
Low
Low
Creates illusion of learning
Rereading
Low
Low
Recognition ≠ recall
Keyword mnemonic
Low-Moderate
High
Works 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.
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.
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
Skill
Stars
Used in
Tokens
Auto-check
Licence
Repo updated
Academic Study Methods this skillwentorai/research-plugins
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…
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…
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.
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.