Claude Code Plugin Marketplace

A collection of Claude Code plugins for productivity and learning workflows.

Available Plugins

mochi-creator

Version 1.1.0 - Create evidence-based spaced repetition flashcards using cognitive science principles from Andy Matuschak's research.

What Makes This Different: This plugin doesn't just create flashcards—it applies research-backed principles to ensure cards actually work for long-term retention. Based on Andy Matuschak's extensive work on spaced repetition and retrieval practice.

Core Features:

• Quality Validation: Checks prompts against 5 properties (focused, precise, consistent, tractable, effortful)
• Evidence-Based Design: Applies cognitive science principles to every card
• Knowledge-Type Workflows: Specialized patterns for factual, conceptual, procedural, and salience prompts
• Anti-Pattern Detection: Identifies and fixes common mistakes (binary questions, unfocused prompts, vague language)
• 5 Conceptual Lenses: Creates robust understanding through multiple angles (attributes, similarities, parts, causes, significance)
• Procedural Patterns: Focus on transitions, rationale, and timing instead of rote memorization
• Interactive Creation: Guided workflows with quality checks at every step
• Template Support: Build reusable card formats with custom fields
• Deck Management: Hierarchical organization and batch operations

Requirements:

• Mochi.cards account and API key
• Python with requests library

Installation:

# Add this marketplace
/plugin marketplace add joshuaoliphant/claude-plugins

# Install the plugin
/plugin install mochi-creator@oliphant-plugins

Setup:

Set your Mochi API key as an environment variable:

export MOCHI_API_KEY="your_api_key_here"

To get your API key:

1. Open Mochi.cards application
2. Navigate to Account Settings
3. Find the API Keys section
4. Generate a new API key

Quick Start:

Here's the simplest way to get started—create flashcards about a basic concept:

1. Set your API key: export MOCHI_API_KEY="your_api_key_here"
2. Invoke the plugin: "Create Mochi cards to help me understand what recursion is"
3. Get evidence-based flashcards: Cards appear in your Mochi deck with focused, atomic prompts

That's it! The plugin handles quality validation and cognitive science principles automatically.

Usage Examples:

Simple requests:

• "Create Mochi cards about dependency injection" → Creates 5-8 focused, atomic cards
• "Turn this conversation into flashcards" → Extracts key concepts with quality validation
• "Help me create flashcards for learning React hooks" → Interactive workflow with guidance

Advanced workflows:

• "Create conceptual cards for TDD using the 5 lenses approach" → Attributes, similarities, examples, causes, significance
• "Make procedural cards for git workflow focusing on transitions and rationale" → No rote steps, emphasis on understanding
• "Create factual cards from this recipe" → Breaks into atomic prompts automatically

Quality-focused:

• Claude will proactively validate prompts and suggest improvements
• Detects unfocused prompts: "This tests 3 details - let me split into separate cards"
• Identifies anti-patterns: "This is a binary question - let me rephrase as open-ended"
• Applies knowledge-type appropriate patterns automatically

The "More Than You Think" Rule: The plugin encourages creating 3-5 focused cards instead of 1 comprehensive card. Each focused prompt takes only 10-30 seconds across an entire year of review, but creates much stronger, more reliable memories.

Research Foundation:

This plugin is built on cognitive science research including:

• Retrieval Practice (Roediger & Karpicke, 2006): Active recall strengthens memory more than passive review
• Spacing Effect (Ebbinghaus, 1885; Cepeda et al., 2006): Distributed practice beats massed practice
• Elaborative Encoding (Craik & Lockhart, 1972): Deeper processing creates stronger memories
• Desirable Difficulties (Bjork, 1994): Optimal learning occurs with moderate challenge
• Andy Matuschak's extensive work on prompt design and spaced repetition systems

The 5 properties framework, knowledge-type patterns, and quality validation are all grounded in this research to ensure cards that actually work for long-term retention.

Contributing

Contributions are welcome! Feel free to submit issues or pull requests.

License

MIT