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tutor-skills

作者 bevibing · bevibing/tutor-skills

Two skills — tutor-setup turns PDFs/docs/codebases into an Obsidian study vault; tutor then quizzes you with progress tracking and spaced review.

Pairs content ingestion with interactive quizzing. tutor-setup scans your sources (PDFs, text, HTML, or code), extracts concepts with verified source mapping, and builds an Obsidian vault with wiki-linked notes, diagrams, and questions. tutor runs rounds of 4 questions with emoji-tracked mastery, diagnostic sessions, drills, and hard-mode reviews.

▶ 觀看演示 📦 安裝 💡 使用場景

為什麼要用

核心特性

即時演示

實際使用效果

tutor-skill.replay ▶ 就緒
0/0

安裝

作者儲存庫 · Claude Skills 官方文件

使用場景

實戰用法： tutor-skills

Turn a 400-page textbook PDF into a study vault you can actually use

👤 Students and self-learners ⏱ ~90 min intermediate

何時使用： You have a textbook and would rather quiz yourself than re-read it.

前置條件
  • Obsidian installed — obsidian.md — free
  • Claude Code CLI — Required for running the skills
步驟
  1. Run tutor-setup
    Use tutor-setup on ./textbook.pdf — build the vault at ~/vaults/calc.✓ 已複製
    → Vault created with chapter notes, concept maps, and question bank
  2. Start a study session
    Use tutor. Start a diagnostic session on chapter 3.✓ 已複製
    → 4 questions with grading and mastery update
  3. Review weak areas
    Show my weak concepts and drill them.✓ 已複製
    → Targeted drill on lowest-mastery concepts

結果： A personal study vault plus a working retention loop.

注意事項
  • PDFs with poor OCR yield low-quality notes — Run OCR with a better tool first if the source is image-based
搭配使用： human-skill-tree-skill

Onboard to an unfamiliar codebase via guided quizzing

👤 New hires and contractors ⏱ ~120 min intermediate

何時使用： You inherited a 50k-line codebase and reading it linearly isn't working.

步驟
  1. Ingest the repo
    Use tutor-setup on ~/src/acme-api. Trace the architecture and build onboarding exercises.✓ 已複製
    → Vault with module map, architecture diagrams, and exercise questions
  2. Run onboarding exercises
    Use tutor. Start the onboarding track.✓ 已複製
    → Exercises that force you to navigate the code to answer

結果： Faster ramp-up than reading docs cover-to-cover.

注意事項
  • Generated exercises too shallow — Ask tutor-setup to focus on specific modules rather than the whole repo
搭配使用： filesystem

組合

與其他 MCP 搭配，撬動十倍槓桿

tutor-skill + human-skill-tree-skill

Document-centric (tutor) + dialogue-centric (human-skill-tree)

Use tutor on my textbook, then switch to human-skill-tree for Socratic discussion of the hard concepts.✓ 已複製
tutor-skill + filesystem

Save progress summaries outside the vault for version control

Every week, snapshot my mastery report to ~/learning-log/.✓ 已複製

工具

此 MCP 暴露的能力

工具輸入參數何時呼叫成本
tutor-setup source files (PDF/text/HTML/code) Start of a new study topic LLM tokens for extraction
tutor (quiz rounds) vault + focus topic Regular study sessions Tokens per round
Diagnostic mode topic Start of topic or after time away Tokens
Drill mode weak concepts Mid-study reinforcement Tokens
Hard-mode review mastered concepts Confidence check before exam Tokens

成本與限制

運行它的成本

API 配額
None
每次呼叫 Token 數
Setup can be heavy (20-100k tokens for a big PDF). Quizzes are light (2-5k per round).
費用
Free — skill is local. Obsidian is free.
提示
Split large textbooks by chapter for setup to keep ingestion manageable.

安全

權限、密鑰、影響範圍

憑證儲存： No credentials — skill is prompts + local file ops
資料出站： None — everything runs locally

故障排查

常見錯誤與修復

Vault notes missing concepts from the source

Re-run tutor-setup with chapter-level focus; full-book in one pass can skim.

Questions feel too easy

Switch to hard-mode review or ask tutor for application-level questions.

Obsidian doesn't show the wiki-links

Check vault settings; enable backlinks and graph view plugins.

替代方案

tutor-skills 對比其他方案

替代方案何時用它替代權衡
human-skill-tree-skillYou prefer dialogue-based learning without a document vaultDifferent modality — no persistent vault
AnkiYou want pure SRS without the AI tutoring layerStronger SRS, no content generation

更多

資源

📖 閱讀 GitHub 上的官方 README

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