lecture-to-study-guide

lecture-to-study-guide is a skill for Claude Code from Jellypod-Inc/school-skills. It costs 263 tokens per session (3,182 once invoked), scanned A, original, MIT.

A study-guide generator that turns notes, slide PDFs, or class transcripts into structured learning material. It produces an outline, key terms, explanations, diagrams, examples, practice questions, and a one-page cheat sheet.

In plain words
What is it for?
Use it to create study guides, concept summaries, worked examples, practice questions, Mermaid diagrams, and cheat sheets from class material.
Why use it?
It turns scattered lecture material into something organised for studying instead of providing only a short summary. It can support review and exam preparation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the school-skills plugin — 7 skills shipped together

Good fit Use it to create study guides, concept summaries, worked examples, practice questions, Mermaid diagrams, and cheat sheets from class material.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jellypod-inc/school-skills/lecture-to-study-guide
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Jellypod-Inc/school-skills --skill lecture-to-study-guide
Clone the repo
git clone --depth 1 https://github.com/Jellypod-Inc/school-skills

Made for: Claude Code.

Or install school-skills, the plugin that ships this one along with the rest of its 7 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lecture-to-study-guide

README.md
[![agentmods](https://agentmods.dev/badge/skills/jellypod-inc/school-skills/lecture-to-study-guide/github.svg)](https://agentmods.dev/skills/jellypod-inc/school-skills/lecture-to-study-guide)
Your own site
<a href="https://agentmods.dev/skills/jellypod-inc/school-skills/lecture-to-study-guide"><img src="https://agentmods.dev/badge/skills/jellypod-inc/school-skills/lecture-to-study-guide/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for lecture-to-study-guide

Your own site · 80×15
<a href="https://agentmods.dev/skills/jellypod-inc/school-skills/lecture-to-study-guide"><img src="https://agentmods.dev/badge/skills/jellypod-inc/school-skills/lecture-to-study-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 263 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,182 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00263 $0.03182
Opus 5 $0.00131 $0.01591
Sonnet 5 $0.00053 $0.00636
Haiku 4.5 $0.00026 $0.00318

Measured 11d ago against content hash 9314b01f3578, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

lecture-to-study-guide scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/lecture-to-study-guide/SKILL.md · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

lecture-to-study-guide

Produce a pedagogically structured study guide from lecture material — not a summary, a study-optimized document.

When to use this skill

Trigger on any phrase pairing lecture material + a study/review/exam goal. Concrete cues:

Student voice (lead — higher frequency):

  • "turn my notes into a study guide"
  • "summarize this lecture for the test"
  • "make a study guide from these slides"
  • "I have a transcript from class, help me review"
  • "convert this PDF of my [subject] lecture into a study guide"
  • "here's a YouTube lecture transcript, extract the key points"
  • "make me practice questions from this chapter"
  • "I need a cheat sheet for tomorrow's exam from these notes"
  • "help me review — I'll paste my lecture notes"

Teacher voice:

  • "make a study guide for my students from this lecture"
  • "build a review handout from my slide deck"
  • "give my class a review sheet from these notes"

Inputs

Required:

  • Source material — pasted text, PDF, or transcript. May be messy.

Optional (infer if absent — see table below):

  • Subject + level — for calibration (6-8 / 9-12 / college / graduate).
  • Source type — pasted prose notes / slide deck / transcript / multi-lecture / mixed.
  • Exam format — MCQ / essay / problem-set — biases question mix.
  • Target length — default: proportional to input.

Inferring level and source-type from phrasing (before asking)

Attempt inference first. Ask ONLY if both level AND source-type are unclear.

Cue in user's phrasing Likely level
"my 7th grader," "middle school," emoji, simple vocab 6-8
"AP ___," "honors," "SAT prep," "high school" 9-12
"my professor," "syllabus," "midterm," "lecture hall," "TA," intro-course names ("intro micro," "bio 101") college (default)
"my PI," "qualifying exam," "seminar," "dissertation," advanced domain vocabulary graduate
No markers, just raw notes infer from vocabulary density; default college
Cue in user's phrasing Likely source-type
"my notes," "typed up," "outline" pasted prose notes
".pdf," "slides," "deck," "slideshow," "lecture slides" slide-deck PDF
"transcript," "YouTube," "recording," "VTT," "SRT," "captions," "Otter," "Zoom transcript" transcript
Multiple files listed, "weeks 1-3," "chapters 4-6," "my last three lectures" multi-lecture series
Both a slide deck AND a transcript mentioned mixed slide + transcript

Read the full file on GitHub · 211 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 211 lines · 0 tokens per session scan A 9314b01f3578

Subscribe to this mod's changes

lecture-to-study-guide is a skill published in the GitHub repository Jellypod-Inc/school-skills (6 stars, last pushed 4mo ago), licensed MIT. It adds 263 tokens to every session and 3,182 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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