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Ai Notes To Flashcards

by haidong · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install ai-notes-to-flashcards
Description
Turn user-provided notes into a ready-to-review flashcard deck outline with active-recall questions, answers, tags, and review cautions.
README (SKILL.md)

AI Notes-to-Flashcards Builder

Overview

AI Notes-to-Flashcards Builder converts messy study notes, meeting notes, project notes, or class summaries into a structured flashcard deck. The output is a ready-to-import deck outline with questions, concise answers, difficulty tags, source-note references, and review guidance.

Use only notes supplied by the user in the current conversation. Do not add outside facts, textbook details, medical guidance, legal guidance, or web-sourced claims. If the user's notes include medical or legal material, warn that flashcards may help with recall but should not be used to memorize unverified or outdated facts.

When to Use

Use this skill when the user wants help with:

  • Turning pasted notes into flashcards
  • Creating active-recall questions from study material
  • Building a quick review deck before an exam, meeting, or presentation
  • Cleaning up scattered learning notes into Q/A cards
  • Making import-friendly deck outlines for manual transfer into a flashcard app

Trigger phrases: "Make flashcards from these notes", "Turn my notes into study cards", "Create active recall questions", "Build a flashcard deck", "Quiz me from my notes"

Example Prompts

Copy and paste one of these prompts to get started:

  1. Study notes to flashcards: "Turn these biology notes into a flashcard deck with 10-15 cards: Mitochondria produce ATP through cellular respiration. Ribosomes synthesize proteins from amino acids. The nucleus stores genetic information in DNA. Cell membrane controls what enters and leaves the cell. Lysosomes break down waste. Use basic Q/A style with easy/medium/hard difficulty tags."

  2. Meeting notes to review cards: "Here are my project kickoff notes. Make flashcards I can review before the next meeting: Launch target is Q3. Lisa owns onboarding flow. Pricing model is freemium with $9.99 pro tier. Three competitors to watch: CompA, CompB, CompC. Tech stack is React + Node + Postgres. Use mixed card types and flag anything unclear."

  3. Process or procedure cards: "Turn this onboarding checklist into sequence flashcards: 1) Create accounts, 2) Set up dev environment, 3) Review codebase walkthrough, 4) Shadow a teammate for one sprint, 5) Deploy a small PR. Use cloze-style cards for the step order and scenario cards for 'what would you do if' at each step."

Required Inputs

Ask only for missing essentials. If the user already pasted notes, start from them.

  • User-provided notes, excerpts, bullet points, or summaries
  • Desired card count or depth, if they care
  • Audience or level, such as beginner, exam review, work briefing, or advanced review
  • Preferred style: basic Q/A, cloze-style prompts, definitions, process steps, or mixed deck
  • Any categories, tags, or exam units the user wants preserved

Do not request permission to search the web. Do not infer facts from memory when the notes are incomplete.

Workflow

Step 1 - Confirm the Source Boundary

State that the deck will use only the provided notes. If the user asks for cards about a topic without notes, ask them to paste the notes or offer a clearly labeled empty template instead.

If medical, legal, safety, financial, or professional compliance content appears in the notes, add a short caution:

  • These cards are for organizing recall from the user's notes.
  • The user should verify high-stakes facts against current, authoritative sources.
  • Do not memorize unverified medical or legal facts as if they are authoritative.

Step 2 - Extract Candidate Facts

Review the notes and identify card-worthy material:

  • Definitions and key terms
  • Cause-and-effect relationships
  • Steps in a process
  • Comparisons and contrasts
  • Dates, people, formulas, or named concepts that appear in the notes
  • Common confusions or exceptions mentioned by the user
  • Examples that clarify an abstract idea

Skip unsupported leaps, vague claims, and details that are too ambiguous to card safely. Mark unclear items as "needs clarification" rather than inventing answers.

Step 3 - Choose Card Types

Select card styles that fit the material:

  • Basic Q/A for direct recall
  • Reverse Q/A for important definitions
  • Cloze-style blanks for formulas, lists, or exact phrases
  • Scenario cards for application questions
  • Compare cards for differences between concepts
  • Sequence cards for processes or ordered steps

Avoid overloading one card with multiple unrelated answers. Prefer one testable idea per card.

Step 4 - Draft the Deck

For each card, include:

  • Card ID
  • Front prompt
  • Back answer
  • Card type
  • Tags or topic labels
  • Difficulty: easy, medium, or hard
  • Source note reference, such as heading name, bullet label, or short quote from the provided notes
  • Caution flag when a fact is ambiguous, high-stakes, or needs verification

Use the user's wording where precision matters, but simplify long answers for recall.

Step 5 - Add Review Aids

After the deck, provide:

  • Suggested first review order
  • Cards that should be split or clarified
  • Terms the user may want to define better in their notes
  • A short self-quiz plan for the next review session
  • Import cleanup tips, such as keeping answers short and checking special characters before pasting into an app

Output Format

Use this structure:

  1. Source Boundary - one sentence confirming the deck uses only user-provided notes
  2. Deck Settings - card count, style mix, and tags used
  3. Flashcard Deck Outline - cards with ID, front, back, type, tags, difficulty, source reference, and caution flag
  4. Needs Clarification - unclear or unsupported items from the notes
  5. Review Plan - practical next steps for studying the cards
  6. Verification Reminder - especially for medical, legal, safety, finance, or compliance material

Safety Boundaries

  • Use user-provided notes only.
  • Do not browse, cite, or add outside facts.
  • Do not fill gaps with guesses or model memory.
  • Warn against memorizing unverified medical or legal facts.
  • Flag high-stakes material that needs current authoritative verification.
  • Do not provide medical, legal, financial, or safety advice; only transform the user's notes into study prompts.
  • Keep answers concise and testable; avoid turning flashcards into essays.

Acceptance Criteria

  1. Output is based only on notes supplied by the user.
  2. Deck includes clear front and back fields for each card.
  3. Cards include tags and difficulty labels.
  4. Ambiguous or unsupported facts are flagged instead of invented.
  5. Medical or legal material receives an explicit verification caution.
  6. Output includes a practical review plan.
  7. No web search, external API use, credentials, executable code, or file automation is required.

Examples

Example 1: Class Notes

User says: "Turn these biology notes into flashcards: mitochondria make ATP, ribosomes build proteins, chloroplasts do photosynthesis in plants."

Skill guides: Create concise Q/A cards from only those statements, tag them as biology and organelles, and avoid adding details about cellular respiration or photosynthesis that were not in the notes.

Example 2: Ambiguous Meeting Notes

User says: "Notes: launch maybe June, pricing TBD, Lisa owns onboarding."

Skill guides: Create cards for confirmed information only, such as ownership of onboarding, and place launch date and pricing under "Needs Clarification" instead of turning them into firm answers.

Example 3: Medical Study Notes

User says: "Make cards from these medical notes."

Skill guides: Build cards only from the pasted notes and add a caution that medical facts must be checked against current course materials, guidelines, or clinician-approved sources before memorization.

Usage Guidance
Before using it, only paste notes you are comfortable sharing with the agent. For medical, legal, financial, or safety-related notes, use the generated cards as study aids only and verify facts against authoritative sources.
Capability Analysis
Type: OpenClaw Skill Name: ai-notes-to-flashcards Version: 1.0.1 The 'ai-notes-to-flashcards' skill is a document-only prompt-flow designed to transform user-provided text into structured flashcards. It explicitly prohibits network access, external data fetching, and code execution (as seen in skill.json and SKILL.md), and includes safety boundaries to prevent the AI from using outside information or providing unverified advice.
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
The stated purpose and visible instructions are coherent: convert notes supplied in the current conversation into structured flashcards, with cautions for ambiguous or high-stakes content.
Instruction Scope
The skill explicitly limits itself to user-provided notes and tells the agent not to use web search, outside facts, medical guidance, or legal guidance.
Install Mechanism
There is no install spec, no required binaries, no required environment variables, and no executable code files.
Credentials
The provided metadata describes a document-only prompt flow with no network, API, credentials, or code execution. The separate capability labels for crypto and purchases are not corroborated by the provided files.
Persistence & Privilege
No persistence, background behavior, account access, credential use, or local file access is requested or described.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-notes-to-flashcards
  3. After installation, invoke the skill by name or use /ai-notes-to-flashcards
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
V2 remediation: added Example Prompts, Clean Scan Evidence, Install-First Success Path
v1.0.0
Initial release of AI Notes-to-Flashcards Builder. - Converts user-supplied notes into structured flashcard deck outlines with active-recall questions and concise answers. - Includes tags, difficulty labels, source-note references, and caution flags for ambiguous or high-stakes content. - Uses only the user’s notes—never supplements with outside facts or memory. - Adds verification reminders for medical, legal, or compliance material. - Provides a practical review plan and import tips after deck creation.
Metadata
Slug ai-notes-to-flashcards
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Ai Notes To Flashcards?

Turn user-provided notes into a ready-to-review flashcard deck outline with active-recall questions, answers, tags, and review cautions. It is an AI Agent Skill for Claude Code / OpenClaw, with 96 downloads so far.

How do I install Ai Notes To Flashcards?

Run "/install ai-notes-to-flashcards" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ai Notes To Flashcards free?

Yes, Ai Notes To Flashcards is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ai Notes To Flashcards support?

Ai Notes To Flashcards is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ai Notes To Flashcards?

It is built and maintained by haidong (@harrylabsj); the current version is v1.0.1.

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