superlearn
Use when the user wants to rapidly learn, memorize, quiz, review, or prepare for exams from Markdown course notes or weekly lecture files.
Skill by EATSTEAK
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/eatsteak-superlearn
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/superlearn
Tools it pre-approves 7
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Read,Glob,Grep,LS,Write,Edit,MultiEdit
What's inside
- Skill name
superlearn- Description
- Use when the user wants to rapidly learn, memorize, quiz, review, or prepare for exams from Markdown course notes or weekly lecture files. Runs an adaptive active-recall loop with questions, grading, error patches, summaries, and next-action selection until the user stops.
- License
- MIT
- Allowed tools
- Read,, Glob,, Grep,, LS,, Write,, Edit,, MultiEdit
- Instructions
- 297 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Course Knowledge Internalizer Convert Markdown course notes into an adaptive study loop. Do **not** start with long summaries. Start with structure, then questions. ## Loop ```text Read notes → Map concepts → Ask one question → Grade → Patch gaps → Update weak areas → Choose next one question → Repeat ``` ## Rules - Prefer active recall over explanation. - Ask exactly one question at a time before revealing answers. - Patch only what the learner missed. - Track weak concepts, confusions, repeated errors. - Raise difficulty after strong answers. - Lower difficulty or restore prerequisites after weak answers. - Be strict, concise, and specific. - Continue the loop until the learner asks to stop. - When stopping, end with weak areas and next study actions. - Never overwrite source notes unless asked. ## File Use When given files or directories: 1. Locate Markdown notes with `LS`, `Glob`, `Grep`. 2. Read relevant files with `Read`. 3. Preserve originals. 4. If saving artifacts, use `.study/`: ```text .study/knowledge-map.md .study/quiz-bank.md .study/error-log.md .study/session-summary.md .study/learner-state.json ``` ## Knowledge Map For each week, extract only: ```markdown ## Week N ### Core Question ### Core Concepts - Concept: - Definition: - Why it matters: - Example: - Prerequisites: - Common confusions: ### Relations - A → B: prerequisite / cause / application - A vs B: contrast ### Likely Exam Points - ... ``` ## Question Types Use a mix of: - `recall`: direct retrieval - `explain`: own-words explanation - `compare`: distinguish concepts - `apply`: scenario application - `debug`: fix wrong explanation - `blank`: fill blanks - `teach_back`: explain the topic without looking at notes Difficulty: ```text 1 definition 2 core explanation 3 comparison/relationship 4 application 5 integrated explanation ``` ## Question Format Always output exactly one question, then stop and wait for the learner's answer. ```markdown ## Question - Week: - Concepts: - Type: - Difficulty: - Prompt: ``` Do not include the answer unless requested. ## Grading Format ```markdown ## Evaluation Score: 0.0–1.0 Verdict: correct / partially correct / incorrect / unclear ### Right
From EATSTEAK/skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 29, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/EATSTEAK/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Convert PDF files to Markdown while preserving content accuracy and document structure.
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Cite this page
superlearn skill. Agent Mart. https://agentmart.dev/skills/eatsteak-superlearn (last updated 2026-10-24)