This directory contains reusable, optimized templates for creating various types of prompts and AI interactions. Unlike task-specific prompts, these templates provide structured frameworks that can be adapted to multiple use cases.
"The constraint is the feature" - All templates follow ADHD optimization principles, treating cognitive and token constraints as design advantages rather than limitations.
Purpose: Standardized template for creating AI agent personas and capabilities
Key Features:
- ADHD-optimized with strict word limits
- 5-second comprehension test
- Token optimization (<300 tokens)
- Visual hierarchy using emojis
- Built-in validation checklist
When to Use:
- Designing new AI agents or assistants
- Standardizing agent documentation
- Creating consistent agent libraries
- Rapid prototyping of agent capabilities
Example Output:
name: code-reviewer
description: Code quality guardian. Use for: reviews, refactoring, standards.
Examples: 'check PR' → detailed analysis.Purpose: Transform visual thinking structures (mind maps, diagrams) into text-based prompts
Patterns Included:
- Radial/Mind Map structures
- Hierarchical trees
- Flow diagrams
- Matrix structures
- Layered context (onion model)
- Network graphs
- Quadrant analysis
- Nested context boxes
When to Use:
- Complex system design requiring spatial organization
- Multi-faceted problems needing visual hierarchy
- Converting whiteboard sessions to prompts
- Preserving relationships between concepts
Example Pattern:
🎯 CENTER: API Design
├── 🔵 ENDPOINTS: CRUD operations
├── 🟢 VALIDATION: Input checking
├── 🟡 SECURITY: Auth & rate limiting
└── 🔴 ERRORS: Handling strategiesPurpose: Design natural, human-like conversational AI agents for voice interactions
Key Features:
- Emotional state detection patterns
- Natural language phrase banks
- Progressive information gathering
- TTS (Text-to-Speech) optimization
- LLM selection matrix
- Pre-deployment testing checklist
When to Use:
- Building voice-enabled AI assistants
- Customer service chatbots
- Interactive voice response (IVR) systems
- Any conversational AI requiring natural dialogue
Core Principle: "Conversation over script" - Agents should feel like talking to a knowledgeable colleague, not navigating a phone tree.
| Need | Recommended Template | Why |
|---|---|---|
| Create an AI assistant | Universal Agent Card | Structured, comprehensive agent design |
| Design complex system | Visual Prompt Patterns | Preserves spatial relationships |
| Build voice interface | ElevenLabs Conversational | Natural dialogue optimization |
| Optimize token usage | Universal Agent Card | Built-in token constraints |
| Convert diagrams to text | Visual Prompt Patterns | Multiple pattern options |
| Handle emotional users | ElevenLabs Conversational | Emotion detection built-in |
Review the available templates and select based on your specific need.
Each template provides copy-paste ready structures. Start with the base template.
Follow the guidelines and examples provided. Pay attention to:
- Word limits (where specified)
- Required vs optional sections
- Format specifications
Use built-in checklists to ensure quality:
- 5-second comprehension test
- Token count verification
- Completeness check
Templates are starting points. Customize based on:
- Specific domain requirements
- User feedback
- Performance metrics
- ✅ Start with templates for consistency
- ✅ Respect word/token limits
- ✅ Use visual anchors (emojis) consistently
- ✅ Test with real scenarios
- ✅ Combine templates when needed
- ❌ Override core structure without reason
- ❌ Ignore validation checklists
- ❌ Add complexity unnecessarily
- ❌ Mix incompatible patterns
- ❌ Forget the 5-second rule
When adding new templates to this directory:
-
Follow the Format:
# 🎯 Template Name *One-line description* ## Purpose ## Key Features ## When to Use ## Template Structure ## Examples ## Best Practices
-
Include Metadata:
- YAML frontmatter
- Version number
- Creation date
- Tags
-
Provide Examples:
- Good vs bad comparisons
- Real-world applications
- Common variations
-
Add Validation:
- Checklists
- Success criteria
- Common pitfalls
Templates work best when combined with frameworks:
| Template | Pairs Well With | Result |
|---|---|---|
| Universal Agent Card | Vibecoding Archetypes | Philosophically-grounded agents |
| Visual Patterns | ADHD Framework | Maximum clarity and scanning |
| ElevenLabs | Context Engineering | Token-optimized conversations |
All templates emphasize token efficiency:
- Front-load critical info - Most important first
- Use structure over prose - Lists beat paragraphs
- Employ visual markers - Emojis = instant recognition
- Progressive disclosure - Details only when needed
- Explicit > Implicit - State everything clearly
We welcome new templates! Consider submitting templates for:
- Specific industries (healthcare, finance, education)
- Specialized tasks (data analysis, creative writing)
- New AI platforms (OpenAI, Anthropic, Google)
- Novel interaction patterns
Remember: Great templates make complex simple and simple powerful.