ko-lesson
Liunian06/ko-lesson
This skill generates comprehensive, structured, and interactive learning lesson packages from existing materials, providing personalized learning paths and continuous feedback loops.
466 10MITUpdated 2026-07-03
82
GreatOverview
Designed for multidisciplinary learners handling bilingual or complex source materials, ko-lesson transforms raw inputs like PPTs, OCR text, and course documents into self-contained, high-quality Obsidian-compatible learning units. It implements rigorous learning loops, distinct generation and granularity modes (including default, single-knowledge-point, and narrative/story modes), LaTeX formula rendering, and automated quiz-remediation systems to maximize study efficiency.
Capabilities
- ▸Generates structured learning paths and comprehensive course modules from raw inputs
- ▸Supports multiple granularity modes (default, single-concept, and narrative/storytelling mode)
- ▸Maintains cross-course learner background profiles for personalized instruction
- ▸Performs interactive lesson-by-lesson mastery tracking, error logging, and remediation
- ▸Produces formatted Markdown files optimized for Obsidian with LaTeX math and bidirectional links
Best for
Generating a complete, structured course curriculum from raw study notes, textbooks, or video transcripts., Studying complex topics through an interactive, lesson-by-lesson feedback and mastery loop., Breaking down dense academic subjects into granular, single-concept lessons with bilingual translation and Obsidian integration.
Works with
Claude CodeCodexChatGPTGemini CLICursorGitHub CopilotOpenCode
Evoa Score breakdown= Σ (score × weight)
82Task usefulness20%88 → +17.6
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%90 → +13.5
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%85 → +12.8
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%36 → +4.3
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%100 → +15.0
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%85 → +8.5
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%67 → +5.4
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%100 → +5.0
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total82.0 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Processes local text and document files provided by the user. Ensure sensitive personal data or proprietary source materials are handled according to privacy guidelines.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.