DeepTutor CLI
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
Evidence-based learning science principles for educational research and practice
Install Learning Science Guide
$ npx skills add wentorai/research-plugins --skill learning-science-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins learning-science-guide --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/domains/education/learning-science-guide .claude/skills/learning-science-guide && rm -rf skills-srcUse ~/.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/
Install the "learning-science-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/learning-science-guide into .claude/skills/learning-science-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-science-guide", 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.
$skill-installer install https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/learning-science-guideType 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.
$ npx skills add wentorai/research-plugins --skill learning-science-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins learning-science-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/domains/education/learning-science-guide .agents/skills/learning-science-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "learning-science-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/learning-science-guide into .agents/skills/learning-science-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-science-guide", 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.
$ npx skills add wentorai/research-plugins --skill learning-science-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins learning-science-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/domains/education/learning-science-guide .cursor/skills/learning-science-guide && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "learning-science-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/learning-science-guide into .cursor/skills/learning-science-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-science-guide", 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.
$ gemini skills install https://github.com/wentorai/research-plugins.git --path skills/domains/education/learning-science-guide--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add wentorai/research-plugins --skill learning-science-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins learning-science-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/domains/education/learning-science-guide .gemini/skills/learning-science-guide && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "learning-science-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/learning-science-guide into .gemini/skills/learning-science-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-science-guide", 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.
$ gh skill install wentorai/research-plugins learning-science-guideInstalls 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).
$ npx skills add wentorai/research-plugins --skill learning-science-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/domains/education/learning-science-guide .github/skills/learning-science-guide && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "learning-science-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/learning-science-guide into .github/skills/learning-science-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-science-guide", 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.
$ npx skills add wentorai/research-plugins --skill learning-science-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins learning-science-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/domains/education/learning-science-guide .opencode/skills/learning-science-guide && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "learning-science-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/education/learning-science-guide into .opencode/skills/learning-science-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-science-guide", 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
learning-science-guide- GitHub stars
- 298
- Used in
- 1 other repo
- Token cost
- ~1.4k tokens
- SKILL.md length
- 278 words
- Files
- 1
- Skills in repo
- 405
- Repo updated
- First seen
- Licence
- MIT
At a glance
Evidence-based learning science principles for educational research and practice
- Education work in your project
- SKILL.md covers Foundational Learning Theories, Evidence-Based Study Methods, Assessment Design and References
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Learning Science Guide is an agent skill from wentorai/research-plugins. Evidence-based learning science principles for educational research and practice
Its SKILL.md is about 1.4k 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. 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
- Education work in your project
Example prompts
- “/learning-science-guide”
Requirements
- Python 3
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 python and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Learning Science Guide loads about 1.4k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 278 words of instructions outside code blocks.
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). 278 words, ~1,397 tokens.
Download SKILL.mdSave it as
.claude/skills/learning-science-guide/SKILL.md (or your agent's skills folder).- name
- learning-science-guide
- description
- Evidence-based learning science principles for educational research and practice
Learning Science Guide
A comprehensive skill for applying evidence-based learning science principles to educational research, instructional design, and teaching practice. Grounded in cognitive psychology and educational neuroscience.
Foundational Learning Theories
Cognitive Load Theory (Sweller, 1988)
Working memory has limited capacity. Effective instruction manages three types of cognitive load:
| Load Type | Definition | Design Strategy |
|---|---|---|
| Intrinsic | Complexity inherent to the material | Sequence from simple to complex; chunk information |
| Extraneous | Load from poor instructional design | Eliminate redundancy; use spatial contiguity |
| Germane | Load from schema construction | Use worked examples; encourage self-explanation |
# Estimate cognitive load using element interactivity
def estimate_intrinsic_load(elements: list, interactions: list) -> str:
"""
elements: list of knowledge components
interactions: list of (element_i, element_j) tuples that must be
processed simultaneously
"""
interactivity = len(interactions) / max(len(elements), 1)
if interactivity < 0.3:
return "low intrinsic load - suitable for independent study"
elif interactivity < 0.7:
return "moderate intrinsic load - scaffold with worked examples"
else:
return "high intrinsic load - use fading strategy and segmenting"
# Example: teaching statistical regression
elements = ['variable', 'coefficient', 'intercept', 'residual', 'R-squared']
interactions = [('coefficient', 'variable'), ('intercept', 'residual'),
('coefficient', 'R-squared'), ('residual', 'R-squared')]
print(estimate_intrinsic_load(elements, interactions))Constructivism and Active Learning
Constructivist approaches emphasize that learners build knowledge through experience. Key active learning strategies with measured effect sizes (Freeman et al., 2014, PNAS):
- Think-Pair-Share: d = 0.41
- Problem-Based Learning (PBL): d = 0.68
- Peer Instruction (Mazur): d = 0.74
- Inquiry-Based Labs: d = 0.52
Evidence-Based Study Methods
Retrieval Practice
Testing is not just assessment -- it is a powerful learning tool (Roediger & Karpicke, 2006). Implement the testing effect:
Study Session Structure:
1. Initial encoding (read/watch) - 15 min
2. Free recall (close materials, write) - 10 min
3. Check accuracy and fill gaps - 5 min
4. Spaced retrieval after 1 day - 10 min
5. Spaced retrieval after 7 days - 10 min
6. Spaced retrieval after 30 days - 10 minSpaced Repetition Algorithms
Implement optimal review scheduling:
def next_review_interval(repetition: int, ease_factor: float = 2.5,
quality: int = 4) -> float:
"""
SM-2 inspired algorithm.
repetition: number of successful reviews
ease_factor: item difficulty (>= 1.3)
quality: response quality 0-5
"""
if quality < 3:
return 1 # reset to 1 day
if repetition == 0:
return 1
elif repetition == 1:
return 6
else:
interval = 6 * (ease_factor ** (repetition - 1))
# Adjust ease factor
new_ef = ease_factor + (0.1 - (5 - quality) * (0.08 + (5 - quality) * 0.02))
return round(interval, 1)
# Schedule for a moderately difficult concept
for rep in range(6):
days = next_review_interval(rep)
print(f"Review {rep + 1}: after {days} days")Interleaving and Desirable Difficulties
Research shows interleaved practice (mixing problem types) outperforms blocked practice for long-term retention (Rohrer & Taylor, 2007):
- Blocked: AAABBBCCC -> short-term gains, long-term forgetting
- Interleaved: ABCBACACB -> harder during practice, better retention
Assessment Design
Bloom's Taxonomy Alignment
Map learning objectives to assessment items across cognitive levels:
remember:
verbs: [define, list, recall, identify]
assessment: "Multiple choice, matching"
understand:
verbs: [explain, summarize, compare, classify]
assessment: "Short answer, concept maps"
apply:
verbs: [solve, demonstrate, use, implement]
assessment: "Problem sets, simulations"
analyze:
verbs: [differentiate, organize, attribute, deconstruct]
assessment: "Case studies, data interpretation"
evaluate:
verbs: [judge, critique, justify, appraise]
assessment: "Peer review, rubric-based essays"
create:
verbs: [design, construct, produce, formulate]
assessment: "Research projects, portfolios"Item Analysis
After administering assessments, compute item difficulty (p-value) and discrimination index to validate question quality. Target p-values between 0.30 and 0.70 and discrimination indices above 0.30 for optimal measurement.
References
- Sweller, J. (1988). Cognitive load during problem solving. Cognitive Science, 12(2), 257-285.
- Freeman, S., et al. (2014). Active learning increases student performance in science. PNAS, 111(23), 8410-8415.
- Roediger, H. L., & Karpicke, J. D. (2006). Test-enhanced learning. Psychological Science, 17(3), 249-255.
© 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/learning-science-guide 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
Learning Science Guide 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Learning Science Guide this skillwentorai/research-plugins | 298 | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Zhang Xuefeng Perspectivealchaincyf/zhangxuefeng-skill | 10k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Deep Reading Analystginobefun/deep-reading-analyst-skill | 353 | 5 repos | ~3.6k | Automated safety check: Pass | MIT | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2k | Automated safety check: Pass | MIT | |
| OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC | 40k | — | ~1.7k | Automated safety check: Notes | MIT |
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Related
Categories
Questions about Learning Science Guide
What does Learning Science Guide do?
Evidence-based learning science principles for educational research and practice. Learning Science Guide is an agent skill from wentorai/research-plugins.
When should I use Learning Science Guide?
Learning Science Guide fits situations like: education work in your project.
How do I install Learning Science Guide in Claude Code?
Run `npx skills add wentorai/research-plugins --skill learning-science-guide -a claude-code`. Or copy the skill folder (skills/domains/education/learning-science-guide in wentorai/research-plugins) into .claude/skills/learning-science-guide in your project. Claude Code loads it when a task matches its description.
How do I install Learning Science Guide in Codex?
Run `npx skills add wentorai/research-plugins --skill learning-science-guide -a codex`. Or copy the skill folder (skills/domains/education/learning-science-guide in wentorai/research-plugins) into .agents/skills/learning-science-guide in your project. Codex loads it when a task matches its description.
Can I use Learning Science Guide 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 learning-science-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learning-science-guide, .gemini/skills/learning-science-guide, .github/skills/learning-science-guide and .opencode/skills/learning-science-guide in your project.
What does Learning Science Guide need to run?
SKILL.md names no scripts, command-line tools or credentials: Learning Science Guide is instructions for the agent only. Our summary lists: Python 3.
Does Learning Science Guide access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Learning Science Guide 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 Learning Science Guide use?
Learning Science Guide 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 Learning Science Guide use?
About 1.4k tokens (SKILL.md is roughly 5.6k 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 Learning Science Guide?
Skills that share tags, products or a category with Learning Science Guide: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), Zhang Xuefeng Perspective (alchaincyf/zhangxuefeng-skill, 10k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 353 stars) and AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Learning Science Guide?
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 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.