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Best Education Skills for AI Agents

83 Education skills for AI coding assistants — ranked by popularity.

This collection provides modular skill definitions for AI agents designed to handle academic, research, and instructional tasks. Whether you are building math animations with Manim, evaluating the statistical rigor of research papers, or synthesizing lecture materials from transcripts and slides, these tools bridge the gap between raw data and structured learning. Developers working on education-tech projects can integrate these agents to automate book searches via Anna’s Archive, analyze coding growth, or map mathematical concepts to visual output. These files standardize how your AI agent interacts with educational content, moving beyond generic assistance toward domain-specific precision. Expect a mix of procedural tools for content creation and analytical frameworks for verifying scholarly information. This library is for builders creating educational tools that require high-fidelity handling of complex information, scholarly evaluation, and algorithmic visualization.

Top Education skills

annas-archive-ebooks

ratacat

Use when needing to look up book content, find a book by title/author, download an ebook, or reference material from a published book. Triggers on book lookups, ebook downloads, "find the book", "get the PDF/EPUB of". Downloads produce PDF/EPUB/MOBI files - use ebook-extractor skill to convert to text.

22177

manim

davila7

Comprehensive guide for Manim Community - Python framework for creating mathematical animations and educational videos with programmatic control

29113

developer-growth-analysis

ComposioHQ

Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.

7106

scientific-critical-thinking

davila7

Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.

1888

lecture-transcript-slide-matcher

az9713

Combines YouTube lecture transcripts with PDF slides to create an interactive HTML page. Matches each slide to corresponding transcript segments, organized by key concepts. Use when users want to create synchronized lecture notes from transcript text files and slide PDFs.

669

scholar-evaluation

K-Dense-AI

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

438

llvm-learning

gmh5225

Comprehensive learning resources and tutorials for LLVM, Clang, and compiler development. Use this skill when helping users learn LLVM internals, find educational resources, or understand compiler concepts.

422

tooluniverse-drug-research

mims-harvard

Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections. Covers identity, chemistry, pharmacology, targets, clinical trials, safety, pharmacogenomics, and ADMET properties. Use when users ask about drugs, medications, therapeutics, or need drug profiling, safety assessment, or clinical development research.

323

manim-composer

adithya-s-k

Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization. Transforms vague video ideas into detailed scene-by-scene plans (scenes.md). Conducts research, asks clarifying questions about audience/scope/focus, and outputs comprehensive scene specifications ready for implementation with ManimCE or ManimGL. Use this BEFORE writing any Manim code. This skill plans the video; use manimce-best-practices or manimgl-best-practices for implementation.

816

tutorial-engineer

sickn33

Creates step-by-step tutorials and educational content from code. Transforms complex concepts into progressive learning experiences with hands-on examples. Use PROACTIVELY for onboarding guides, feature tutorials, or concept explanations.

518

rudin-real-complex-analysis

parcadei

Problem-solving with Rudin's Real and Complex Analysis textbook

317

openevidence-install-auth

jeremylongshore

Install and configure OpenEvidence API authentication. Use when setting up a new OpenEvidence integration, configuring API credentials, or initializing OpenEvidence in your healthcare application. Trigger with phrases like "install openevidence", "setup openevidence", "openevidence auth", "configure openevidence API key".

17

manimce-best-practices

adithya-s-k

Trigger when: (1) User mentions "manim" or "Manim Community" or "ManimCE", (2) Code contains `from manim import *`, (3) User runs `manim` CLI commands, (4) Working with Scene, MathTex, Create(), or ManimCE-specific classes. Best practices for Manim Community Edition - the community-maintained Python animation engine. Covers Scene structure, animations, LaTeX/MathTex, 3D with ThreeDScene, camera control, styling, and CLI usage. NOT for ManimGL/3b1b version (which uses `manimlib` imports and `manimgl` CLI).

33

manimgl-best-practices

adithya-s-k

Trigger when: (1) User mentions "manimgl" or "ManimGL" or "3b1b manim", (2) Code contains `from manimlib import *`, (3) User runs `manimgl` CLI commands, (4) Working with InteractiveScene, self.frame, self.embed(), ShowCreation(), or ManimGL-specific patterns. Best practices for ManimGL (Grant Sanderson's 3Blue1Brown version) - OpenGL-based animation engine with interactive development. Covers InteractiveScene, Tex with t2c, camera frame control, interactive mode (-se flag), 3D rendering, and checkpoint_paste() workflow. NOT for Manim Community Edition (which uses `manim` imports and `manim` CLI).

33

youtube-digest

team-attention

This skill should be used when the user asks to "유튜브 정리", "영상 요약", "transcript 번역", "YouTube digest", "영상 퀴즈", or provides a YouTube URL for analysis. Extracts transcript, generates summary/insights/Korean translation, and tests comprehension with 9 quiz questions across 3 difficulty levels. Optional Deep Research for web-based follow-up.

23

openevidence-sdk-patterns

jeremylongshore

OpenEvidence SDK patterns and best practices for clinical AI integration. Use when implementing advanced SDK features, optimizing API usage, or following clinical decision support best practices. Trigger with phrases like "openevidence patterns", "openevidence best practices", "openevidence sdk", "clinical ai patterns".

12

agent-challenges

ruvnet

Agent skill for challenges - invoke with $agent-challenges

11

ship-learn-next

davila7

Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.

11

agency-study-abroad-advisor

iFrescoo

Full-spectrum study abroad planning expert covering the US, UK, Canada, Australia, Europe, Hong Kong, and Singapore — proficient in undergraduate, master's, and PhD application strategy, school selection, essay coaching, profile enhancement, standardized test planning, visa preparation, and overseas

00

learning-path-structure-review

ArmDeveloperEcosystem

Review Arm Learning Paths for structural soundness, task ownership, scope discipline, progression, validation, further reading placement, recap sections, and performance-learning integrity. Use when asked to review, create, reorganize, or assess the structure of content under content/learning-paths.

00

add-cyberbrick-sample

Shen-Ming-Hong

新增或更新 CyberBrick MicroPython 範例工作區的完整工作流程。當使用者提到新增範例、更新範例、add sample、update sample、修改範例積木、建立範例積木、新增 CyberBrick 示範程式、sample workspace、範例工作區、更新翻譯、stringTranslations、nameTranslations、字串翻譯、標籤翻譯 時自動啟用。包含從 Blockly 工作區匯出 JSON、建立或覆蓋範例檔、更新索引、15 語系翻譯填寫(含識別字名稱翻譯 nameTranslations 與 text 積木字串翻譯 stringTranslation

00

agent-academy-mission-builder

microsoft

>

00

training-material-designer

Moffran

>

00

exam-construction

psychelzh

>

00

How to choose a Education skill

Evaluate each skill based on its specific function and your current project scope. Check the technical requirement: does the skill output raw Python code for animations, or does it process external documents like PDFs and lecture transcripts? Look for maintenance cues and how the agent handles its specific domain—such as the ScholarEval framework for research or the math-to-manim mapping for visualizations. Choose skills that align with your primary objective, whether that is instructional content generation, academic critique, or individual developer growth tracking.

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memento-flashcards
Stelquis · 0 installs
new-society-modules
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matlab-symbolic-math
matlab · 0 installs

Frequently asked

Can I use these skills for automated research assistance?
Yes. Skills like scientific-critical-thinking and scholar-evaluation allow your agent to assess research methodology, statistical validity, and evidence quality. These tools provide a structured way to filter scholarly work, helping you evaluate rigor and identify biases in experimental design without manually reviewing every section of a paper.
Do I need prior experience with Manim to use the math-to-manim skill?
No. The math-to-manim skill is designed to translate your natural language requests into functional code. It handles the programmatic generation of mathematical animations for you. While understanding the basics of Python helps, the skill acts as an interface that manages the complexity of the Manim framework based on your descriptions.

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