xiaohongshu
xiaohongshu
flashcards-generator
Generate comprehensive educational flashcards based on Bloom's Taxonomy methodology (Remember, Understand, Apply, Analyze, Evaluate, Create). Creates structured flashcards with difficulty ratings, detailed explanations, and practice hints. Use when user requests flashcard generation, study cards,...
Full skill instructions
This skill generates comprehensive educational flashcards systematically organized according to Bloom's Taxonomy cognitive levels. It produces structured review materials incorporating difficulty ratings, answer explanations, related concept references, and practice hints to facilitate deep learning and retention.
The flashcards shall be organized across six hierarchical cognitive levels:
When invoked, execute the following systematic procedure:
Step 1.1: Determine input source
Identify whether the user has provided:
Step 1.2: Process reference materials (if applicable)
If a reference file is provided:
Step 1.3: Conduct supplementary research (if necessary)
If the topic is unfamiliar or requires current information:
Step 2.1: Identify core concepts and learning objectives
Extract or formulate:
Step 2.2: Assess content complexity
Determine appropriate difficulty distribution:
Step 2.3: Map concepts to Bloom's Taxonomy levels
Systematically categorize identified concepts according to cognitive complexity:
Step 3.1: Generate 5-8 flashcards per Bloom's level
For each cognitive level, create flashcards following this structure:
### [Bloom's Level]: [Question]
**Difficulty**: [Beginner | Intermediate | Advanced]
**Answer**:
[Concise, accurate response]
**Explanation**:
[Detailed elaboration providing context, rationale, and deeper understanding]
**Related Concepts**:
- [Concept 1]: [Brief relationship description]
- [Concept 2]: [Brief relationship description]
**Practice Hint** (for Analyze, Evaluate, Create levels):
[Scaffolding guidance to approach the question systematically]
Step 3.2: Ensure cognitive alignment
Verify each flashcard employs appropriate cognitive verbs:
Step 3.3: Distribute difficulty appropriately
Across all flashcards, maintain approximate distribution:
Step 4.1: Verify cognitive progression
Ensure flashcards demonstrate hierarchical cognitive progression from basic recall to creative synthesis.
Step 4.2: Validate accuracy
Confirm all factual content is accurate, current, and appropriately sourced.
Step 4.3: Assess pedagogical effectiveness
Verify that:
Step 5.1: Structure the flashcard document
Organize the output markdown file with the following structure:
# Flashcards: [Topic Title]
**Generated**: [Current Date]
**Cognitive Framework**: Bloom's Taxonomy
**Total Flashcards**: [Count]
---
## Level 1: Remember (Recall Knowledge)
[Flashcards 1-8 for Remember level]
---
## Level 2: Understand (Comprehension)
[Flashcards 1-8 for Understand level]
---
## Level 3: Apply (Application)
[Flashcards 1-8 for Apply level]
---
## Level 4: Analyze (Analysis)
[Flashcards 1-8 for Analyze level]
---
## Level 5: Evaluate (Evaluation)
[Flashcards 1-8 for Evaluate level]
---
## Level 6: Create (Synthesis)
[Flashcards 1-8 for Create level]
---
## Study Recommendations
[Provide brief guidance on how to use these flashcards effectively]
Step 5.2: Generate output file
Use the Write tool to create a markdown file named:
[topic-name]-flashcards.md
Where [topic-name] is the kebab-case version of the topic title.
Step 5.3: Deliver completion summary
Provide the user with:
Assign difficulty based on:
Elaborations shall:
Identify and reference:
For higher-order cognitive levels (Analyze, Evaluate, Create), provide:
Insufficient Input: If the user provides neither a clear topic nor reference file, request:
Reference File Unavailable: If the specified reference file cannot be read:
Topic Unfamiliarity: If the topic is highly specialized or obscure:
All generated flashcards shall conform to:
Scenario 1: Topic-based generation
User: "Generate flashcards for Python list comprehensions"
Agent: [Conducts web research, generates 30-48 flashcards across Bloom's levels]
Scenario 2: Reference file-based generation
User: "Create flashcards from my notes on machine learning at notes/ml-basics.md"
Agent: [Reads file, extracts concepts, generates structured flashcards]
Scenario 3: Combined approach
User: "Generate flashcards for quantum computing based on lecture-notes.pdf"
Agent: [Reads PDF, supplements with web research, generates comprehensive flashcard set]
This skill implements pedagogical principles derived from:
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