Skill: ericn26-star/eric-knowledge-digest-v2 (version 1.0.0)

--- name: knowledge-digest description: "Converts textbooks or PDFs into personalized, multimodal interactive learning materials including handwritten notes, quiz webpages, slides, audio courses, and mind maps. Trigger: learning materials, convert textbook, study notes, quiz generation, slides from PDF, mind map, audio course." --- # KnowledgeDigest — Unified Learning Content Converter ## Overview KnowledgeDigest converts textbooks, PDFs, or topic descriptions into personalized, multimodal learning experiences. It analyzes source content, then generates any combination of: handwritten-style notes (PDF), interactive quiz webpages (HTML), slides (PDF+PPTX), mind maps (image+Mermaid), and audio courses (MP3). All output is adapted to the learner's grade level and interests. ## Workflow ### Phase 1: Gather User Input 1. Identify what the user has provided: - Uploaded PDF/textbook file (optional) - Topic/direction description - Grade level (elementary / middle school / high school / university / professional) - Expected output format(s) 2. If no PDF/textbook uploaded and no source materials specified (only topic/direction provided): - Ask user: - **Option A:** "I have materials, uploading now" - **Option B:** "No materials, please search and generate courseware about [topic]" - If user selects B: - Use search tools to collect authoritative materials on the topic - Organize into structured content, generate a basic courseware PDF - Send PDF to user for confirmation: "This is the basic material I compiled for [topic], please confirm if usable?" - Continue after user confirmation 3. **Default output formats** (if user does not specify): mindmap + slides (PDF only) + quiz ### Phase 2: Content Analysis Parse the PDF or structured content to extract: **Document Parsing:** - Identify chapter structure (chapters, sections, subsections) - Extract heading hierarchy and table of contents - Identify body text, images, tables, formulas, and other elements **Core Concept Extraction:** - Identify core concepts and key terms in each chapter - Extract definitions, theorems, formulas, and important content - Mark difficult points and key knowledge **Learning Objective Analysis:** - Infer learning objectives for each chapter - Identify prerequisite knowledge requirements - Analyze dependencies between knowledge points **Output structured analysis results in this format:** ```json { "document_info": { "title": "Document title", "total_pages": 100, "language": "zh/en", "subject": "Subject area" }, "chapters": [ { "chapter_id": "1", "title": "Chapter title", "page_range": [1, 20], "sections": [ { "section_id": "1.1", "title": "Section title", "core_concepts": ["Concept 1", "Concept 2"], "key_terms": [ {"term": "Term", "definition": "Definition"} ], "learning_objectives": ["Objective 1", "Objective 2"], "difficulty": "easy/medium/hard", "prerequisites": ["Prerequisite knowledge"] } ] } ], "knowledge_graph": { "nodes": ["Concept node list"], "edges": [{"from": "Concept A", "to": "Concept B", "relation": "depends/contains/related"}] } } ``` **Parsing Rules:** 1. Chapter Recognition — Identify hierarchy based on font size, bold, numbering, etc. Handle documents without clear chapter markers by logically segmenting. 2. Concept Extraction — Identify bolded, highlighted, boxed important content. Extract proper nouns and term definitions. Identify formulas and theorems. 3. Difficulty Assessment — Assess based on concept abstraction level, prerequisite knowledge, and content complexity. 4. Quality Assurance — Ensure all chapters identified, verify knowledge point coverage completeness, check accuracy of concept definitions. ### Phase 3: Generate Requested Formats Based on user-selected output formats, generate each in sequence. For each format, follow the corresponding section below. ### Phase 4: Deliver Assets After all generation is complete: - Only return file paths, no previews allowed - No inline display of images/PDFs/audio/video in conversation - Audio/video files must not auto-play Present to user using deliver_assets format: ``` <deliver_assets> <item> <path>file path</path> </item> </deliver_assets> ``` --- ## Supported Output Formats | Format | Output | Description | |--------|--------|-------------| | `notes` | `{topic}_notes.pdf` | Handwritten-style notes (annotated on original or generated from scratch) | | `quiz` | `{topic}_quiz.html` | Minimalist interactive HTML quiz with instant feedback | | `slides` | `{topic}_slides.pdf` + `{topic}_slides.pptx` | Visual slides | | `mindmap` | `{topic}_mindmap.png` + Mermaid text | Mind map image | | `audio` | `{topic}_audio.mp3` | Audio course in teacher-student dialogue format | | `all` | All of the above | Generate every format | --- ## Personalization: Grade Level Adaptation All generated content must be adapted to the learner's grade level: | Grade | Language & Tone | Content Density | Visual Style | |-------|----------------|-----------------|--------------| | **Elementary** | Lively, simple Q&A, encouraging, story-style | Low density, more drawings, large font | Fun elements, bright colors, short text | | **Middle school** | Guided questioning, moderate challenges, youth-oriented | Moderate, image-text combination, clear labels | Image-text combination, moderate information | | **High school** | In-depth discussion, logical reasoning, appropriate academic tone | Higher density, logic diagrams | Professional feel, data visualization | | **University/Professional** | Seminar-style, critical thinking, professional terminology | High density, professional charts, complex structures | Academic style, comprehensive application | **Interest Adaptation** (applies to all formats): - Examples and metaphors use the user's interest field - Scenarios drawn from the user's familiar domain - Visual style and analogies match user interests --- ## Format 1: Notes Generation ### Input Type Determination **Type A — Existing Paper/Courseware:** - PDF format academic papers, courseware/PPT exports, scanned textbook pages - Features: Fixed layout, page numbers, chapter numbering, formulas/charts - Action: Overlay handwritten notes on original pages **Type B — Non-existing Content:** - Plain text notes, knowledge point lists, oral transcripts, web content excerpts - Features: No fixed layout, needs reorganization - Action: Generate notes PDF from scratch ### Type A Workflow: Adding Notes to Original Document **Step 1: Analyze Original Structure** Analyze PDF content page by page: - Identify chapter titles and positions - Identify core concepts/terms - Identify formulas and their meanings - Identify problem/challenge statements - Identify solutions/methods - Identify key conclusions **Step 2: Plan Note Content** Plan handwritten annotations for each page (3-8 annotations per page, not too dense): Annotation Types: 1. **Chapter title translation/explanation** — e.g., original "3.1 Preliminaries" → annotate "Background Knowledge" 2. **Key questions** — e.g., "Key: How to reduce complexity?" 3. **Concept explanation** — e.g., annotate "kernel trick" next to formula 4. **Problem marking** — e.g., "Problem: memory overflow" 5. **Solutions** — e.g., "Solution: forget gate" 6. **Formula notes** — e.g., "recursive form", "write operation & read operation" 7. **Structure annotation** — e.g., use braces to mark formula groups, write "→ O(N²) complexity" beside Annotation Planning Principles: - Positions avoid blocking key content - Utilize margins and paragraph gaps - Related content connected with lines or arrows **Step 3: Generate Annotated Images** Convert each PDF page to image, then use image generation tool to add handwritten-style annotations. Handwritten Annotation Style Requirements: - **Font:** Handwritten style, slightly tilted - **Color:** Unified colors throughout PDF, no more than 2 - Default: blue and pink (unless user specifies otherwise) - All subsequent pages can only choose from these 2 colors - Color assignment rules: - Color 1 (blue/primary): Chapter titles, structure annotations, concept explanations, formula notes - Color 2 (pink/accent): Key questions, problem marking, solutions - **Size:** Slightly larger than body text, eye-catching but not overwhelming - **Position:** Margins, paragraph gaps, blank space next to formulas **Step 4: Compile PDF** - Maintain original page order - Image quality: 150 DPI - Compression quality: 90% ### Type B Workflow: Generating Notes from Scratch **Step 1: Organize Content Structure** - Main title → Chapters/modules → Core concepts → Key points/details → Examples/applications **Step 2: Design Note Layout** Layout Elements: - Title area: Large handwritten title - Body area: Handwritten-style bullet points - Diagram area: Concept maps, flowcharts, relationship diagrams (hand-drawn style) - Annotation area: Key markers, question marks, exclamation marks - Blank area: Space reserved for user's own notes **Step 3: Generate Note Page Images** Each page contains: - Page title (handwritten large text) - Core content (handwritten bullet points) - Diagrams (hand-drawn style concept maps/flowcharts) - Key annotations (boxes, arrows, underlines) - Notes (like "Important!", "Common mistake", "Remember this") Style Requirements: - **Overall:** Looks like carefully made student notes, not printed document - **Font:** Handwritten, varying sizes (large for titles, medium for body, small for notes) - **Color:** Unified colors throughout PDF, no more than 2 - Default: blue and pink (unless user specifies otherwise) - Color assignment: Blue (titles, framework, notes), Pink (key points) - **Layout:** Organized but not rigid, slight tilting and variation allowed - **Elements:** Arrows, underlines, boxes, cloud frames, asterisks — use only when necessary **Step 4: Compile PDF** - Arrange in logical content order - Image quality: 150 DPI, compression quality: 90% ### Notes Output - File: `{topic}_notes.pdf` - Only return file path, no preview in conversation - Do not output intermediate image files or content scripts ### Notes Quality Standards 1. **Content Accuracy** — Annotations based on original text; translation/explanation accurate; no added information 2. **Annotation Value** — Annotations help understanding, not simple repetition; key points highlight important concepts; problems and solutions correspond clearly 3. **Visual Effect** — Handwritten style natural, not machine-printed; color coordination harmonious; annotation positions reasonable 4. **Usability** — PDF printable; suitable for screen reading; reasonable file size --- ## Format 2: Quiz Generation ### Question Design At least 5 questions per section. Distribution: - Multiple choice (multiple_choice): 2-3 questions - True/false (true_false): 1-2 questions - Fill in the blank (fill_blank): 1-2 questions Difficulty distribution: - 40% Easy (memory, comprehension) - 40% Medium (application) - 20% Hard (analysis, synthesis) Each question must include: - Question content (using personalized scenario) - Correct answer - Answer explanation (has teaching value, not just "the answer is X") - Related core concept ### HTML Generation Generate a single HTML file containing all questions and interaction logic. **Design Principle: Minimalist** Visual Style: - Pure white background - Black text - No decorative elements, no icons, no gradients, no shadows - No borders or only 1px gray thin lines - Font: System default font - Minimal CSS, no UI frameworks Interaction Design: - Click option to select, selected state distinguished by slight background color - Show correct/incorrect and explanation immediately after submit - Correct: Green text "Correct" - Incorrect: Red text "Incorrect" + correct answer + explanation - Show total score at end **HTML Structure Template:** ```html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Chapter Quiz</title> <style> body { font-family: system-ui, sans-serif; max-width: 600px; margin: 40px auto; padding: 20px; line-height: 1.6; } h1 { font-size: 1.5em; font-weight: normal; } .question { margin: 30px 0; } .question-text { margin-bottom: 15px; } .option { display: block; padding: 10px; margin: 5px 0; cursor: pointer; } .option:hover { background: #f5f5f5; } .option.selected { background: #e8e8e8; } .feedback { margin-top: 10px; font-size: 0.9em; } .correct { color: #2e7d32; } .incorrect { color: #c62828; } .explanation { color: #666; margin-top: 5px; } button { padding: 10px 20px; background: #333; color: white; border: none; cursor: pointer; margin-top: 20px; } .score { font-size: 1.2em; margin-top: 30px; } </style> </head> <body> <h1>Chapter Title - Quiz</h1> <div class="question" data-answer="A"> <div class="question-text">1. Question content</div> <label class="option"><input type="radio" name="q1" value="A"> A. Option</label> <label class="option"><input type="radio" name="q1" value="B"> B. Option</label> <label class="option"><input type="radio" name="q1" value="C"> C. Option</label> <label class="option"><input type="radio" name="q1" value="D"> D. Option</label> <div class="feedback"></div> </div> <!-- More questions... --> <button onclick="submit()">Submit</button> <div class="score"></div> <script> const explanations = { q1: "Explanation content...", // ... }; function submit() { let correct = 0; document.querySelectorAll('.question').forEach((q, i) => { const answer = q.dataset.answer; const selected = q.querySelector('input:checked'); const feedback = q.querySelector('.feedback'); const qName = 'q' + (i + 1); if (selected && selected.value === answer) { feedback.innerHTML = '<span class="correct">Correct</span>'; correct++; } else { feedback.innerHTML = '<span class="incorrect">Incorrect</span> Correct answer: ' + answer + '<div class="explanation">' + explanations[qName] + '</div>'; } }); document.querySelector('.score').textContent = 'Score: ' + correct + '/' + document.querySelectorAll('.question').length; } </script> </body> </html> ``` ### Quiz Output - File: `{topic}_quiz.html` - Only return file path, no preview in conversation - Do not output JSON data, CSS files, or JS files separately ### Quiz Quality Standards 1. **Content Accuracy** — All knowledge points based on original textbook; answers and explanations correct; question wording clear and unambiguous 2. **Personalization** — Question scenarios match user interests; difficulty matches grade level; language style suits target audience 3. **Interaction Experience** — Click response instant; feedback clear; explanations have teaching value 4. **Visual Minimalism** — No decorative elements; no framework dependencies; file size minimized --- ## Format 3: Slides Generation ### Design Considerations Treat these as a flexible menu, not a mandatory checklist: 1. **Topic, Purpose & Audience** — What is this about? Who needs to understand it? Where will it be presented? 2. **Content Foundation & Sources** — What materials or data need to be presented? 3. **Visual Approach (CRITICAL)** - Default to explanatory visuals: cutaway views, annotated structure diagrams, exploded views, schematic illustrations - Visual elements are primary information carriers, not decorative backgrounds for text lists - Default information density matches professional infographics and technical illustrations - **CRITICAL:** Diagrams must convey information through structure, not just provide atmosphere. Text should be labels/annotations, not main content. Reject purely decorative visuals with core information dependent on text lists - Reject the inefficient pattern of "large white space + centered single line of text" 4. **Narrative Flow & Chapters** — How should viewers move through the content? How is slide flow arranged? 5. **Text Style & Density** - Language: Explanatory text uses language explicitly requested by user, otherwise match user's conversation language - Typography: Chinese and English titles preferably use serif fonts (Chinese uses Song font family) 6. **Visual Style, Color & Mood** - Visual language of encyclopedias and reference books: explanatory diagrams, cutaway illustrations, annotated structures - Refined spatial composition and typographic precision of high-end journals - Intentional asymmetry and layered information design of contemporary design publications - Apply asymmetric grids, intentional breathing space, layered information organization, diagonal composition, dynamic typography as internalized design language - **Color restriction:** Unless user explicitly specifies, do NOT use blue or purple as theme color or background color ### Slides Workflow **Step 1: Design Strategy — Create Content Script** Information architecture first: Structure content into hierarchical slides, each slide as an information unit defined by what data/facts/relationships it carries. Let content volume naturally determine slide count. Output `content_script.md`: ``` # Slides Content Script ## Slide 1: [Title] **Subtopic A**: [Label] [50-80 word narrative paragraph describing information content to be visualized] **Subtopic B**: [Label] [50-80 word narrative paragraph] ## Slide 2: [Title] ... ``` Content Script Specification: - Only describe "what information needs to be presented", not "how to present it" - Do NOT include "Visual Description" sections - Do NOT describe colors, backgrounds, decorative elements, atmosphere effects, mood, or layout details - Focus on pure information architecture - 2-3 focused subtopics per slide **Step 2: Sequential Image Generation** Use image generation tool to generate slides one by one: - First slide: Use gen_images (create from scratch) - Subsequent slides: Use edit_images, base_image_file points to previous slide Format: Default 16:9 landscape ratio. Save each slide image locally. **Prompt Construction for Each Slide — Must include these 6 points:** 1. **Visualization Type** — Prioritize diagram forms over text-dominated presentations: cutaway views, flowcharts, annotated structure diagrams, relationship diagrams, timeline overlays. Integrate multiple subtopics into unified visual structure. Avoid "parallel cards/grid displays/multi-column layouts" and text-heavy traditional typography. 2. **Information Hierarchy** — Primary and secondary information distinguished through visual hierarchy (size, position, contrast). Not flat lists. 3. **Composition Instructions** — Asymmetric layout, diagonal momentum, and other methods to break rigid symmetry. 4. **Density Requirements** — Clear information hierarchy over quantity. Appropriate white space serves readability, but not empty and sparse. 5. **Layout Independence** — Explicitly state this slide's visualization type is chosen based on its content, not copying previous slide. Re-evaluate what this specific content needs. But describe inherited elements in detail. 6. **Style Consistency** — If user provided visual style or reference images, each prompt must describe that style's characteristics in detail. **Step 3: Compile Output** After generating all slide images: - Auto-compile into PDF (150 DPI, 95% quality, controlled file size) - Auto-compile into PPTX presentation ### Slides Output - Files: `{topic}_slides.pdf` + `{topic}_slides.pptx` - Only return file paths, no preview in conversation - Do not output individual slide images, summary documents, content outlines, design descriptions, or usage instructions --- ## Format 4: Mind Map Generation ### Mind Map Workflow **Step 1: Design Content Structure** Determine node hierarchy and relationships: - Root node: Chapter theme - Level 1 nodes: Core concepts - Level 2 nodes: Detail points - No more than 4 levels - Each node text concise (no more than 10 characters) - Mark relationships between concepts (parallel/progressive/causal/contrast) **Step 2: Generate Image** Use gen_images to generate mind map image: - Format: 16:9 or square (based on content) - Style: Clear visual hierarchy, professional infographic style **Step 3: Output** - Mind map image: `{topic}_mindmap.png` - Attached Mermaid format text (optional, for users who need to edit) - Only return file path, no image preview in conversation --- ## Format 5: Audio Course Generation ### Audio Workflow **Step 1: Write Dialogue Script** Write teacher-student dialogue script: ``` Opening (about 1 minute) - Teacher greets, introduces today's topic - Student responds, expresses existing knowledge or questions - Teacher builds connection using user's interest field Part One: Concept Introduction (about 4 minutes) - Teacher asks questions from user's interest scenario - Student observes/answers - Teacher introduces core concept, defines in conversational manner - Student requests examples - Teacher explains in detail with personalized examples - Student restates in own words to confirm understanding Part Two: Deep Understanding (about 5 minutes) - Teacher explains important characteristics of concept - Student raises common confusion/misconception - Teacher clarifies misconception - Student poses hypothetical questions - Teacher answers and extends Part Three: Application Practice (about 3 minutes) - Teacher gives question - Student thinks and answers - Teacher provides feedback (affirmation or guidance) Summary (about 2 minutes) - Student attempts to summarize what was learned - Teacher supplements and affirms - Student expresses gains, connects to practical application - Exchange farewells ``` Script Requirements: - Dialogue natural, matches real teacher-student conversation rhythm - Avoid written expression - Include interjections ("um", "well", "oh right") - Allow student to "interrupt" with questions - All examples sourced from user's interest field - About 150-180 words per minute ### Character Settings **Teacher Character:** - Professional yet approachable - Good at using metaphors to explain complex concepts - Patient in answering questions - Timely encouragement and affirmation **Student Character:** - Curious, actively asks questions - Represents target user's perspective - Makes common mistakes, raises typical confusions - Has own interest background (consistent with user settings) **Step 2: Generate Audio** Use audio generation tool to convert script to audio: - Teacher voice: Warm, professional, patient - Student voice: Curious, lively, sincere - Speed: Medium for concept explanation, natural rhythm for dialogue, slightly faster for summary **Step 3: Output** - File: `{topic}_audio.mp3` - Only return file path, no preview or playback in conversation - No auto-play - Do not output script files or production notes ### Audio Quality Standards 1. **Listening Experience** — Sounds like real conversation, not script reading; rhythm varies; key content emphasized 2. **Learning Effect** — Concept explanation clear; student questions represent real confusion; practice section has testing effect 3. **Personalization** — Examples 100% from user's interest field; student character gives user identification; language style matches grade 4. **Audio Quality** — Clear sound; duration about 15 minutes; directly playable --- ## Critical Constraints 1. **Content Fidelity** — All content must be based on original textbook/source material. No unverified information added. 2. **Grade Adaptation** — Adjust content depth and expression based on grade level for ALL formats. 3. **Output Rules** — Only return file paths. No inline display of images/PDFs/audio/video. No auto-play. No intermediate files. 4. **Color Constraints (Notes)** — Maximum 2 colors per PDF. Default blue + pink. 5. **Color Constraints (Slides)** — Do NOT use blue or purple as theme/background color unless user explicitly requests. 6. **Image Quality** — Notes: 150 DPI, 90% compression. Slides: 150 DPI, 95% quality. 7. **Mind Map Depth** — No more than 4 levels. Node text no more than 10 characters. 8. **Quiz Minimalism** — No UI frameworks, no decorative elements, system default font only. ## Common Mistakes to Avoid 1. **Adding unverified information** — Stick to the source material only 2. **Ignoring grade level** — Elementary content should not use university-level terminology 3. **Previewing outputs in conversation** — Never display images, PDFs, or play audio inline 4. **Dense annotations on notes** — Keep 3-8 annotations per page, not more 5. **Decorative slides** — Visuals must convey information through structure, not just atmosphere 6. **Text-heavy slides** — Diagrams should be primary carriers, not text lists with decorative backgrounds 7. **Using blue/purple in slides** — Forbidden unless user explicitly requests 8. **Flat quiz feedback** — "The answer is X" has no teaching value; always explain why 9. **Robotic audio dialogue** — Must sound like natural conversation with interjections and interruptions 10. **Outputting intermediate files** — Only deliver final output file paths ## File & Output Conventions | Format | Filename Pattern | File Type | |--------|-----------------|-----------| | Notes | `{topic}_notes.pdf` | PDF | | Quiz | `{topic}_quiz.html` | HTML | | Slides | `{topic}_slides.pdf`, `{topic}_slides.pptx` | PDF, PPTX | | Mind Map | `{topic}_mindmap.png` | PNG | | Audio | `{topic}_audio.mp3` | MP3 | All files use the topic name as prefix. Deliver all outputs together using `<deliver_assets>` format after all generation is complete.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)