mirror of
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Comprehensive update to remove specific performance claims and replace with qualitative descriptions: - Replace percentage claims (65%, 70%, 99.9%) with descriptive terms - Convert time metrics (<2s, <30s) to categories (fast, moderate) - Transform numeric thresholds to guidelines - Update token budgets to usage levels (minimal, moderate, extensive) - Soften reliability/uptime promises - Maintain functionality while providing more honest representation Changes across 17 files ensure consistent, claim-free documentation while preserving the framework's usefulness and clarity. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
209 lines
7.3 KiB
YAML
209 lines
7.3 KiB
YAML
# UX & Interface Patterns
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## User Interaction Principles
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```yaml
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Clarity & Communication:
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Clear Intent: Every command should have obvious purpose
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Immediate Feedback: Show what's happening in real-time
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Progress Indicators: Display completion % & ETA
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Result Summary: Concise overview→what was accomplished
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Predictability:
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Consistent Behavior: Same flags work same way across commands
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Expected Outputs: Users should know what→expect
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Stable Interface: Minimize breaking changes
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Docs: Always up-to-date & comprehensive
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Efficiency:
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Smart Defaults: Most common options should be default
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Minimal Typing: Short, memorable command names & flags
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Context Awareness: Remember previous ops & preferences
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Workflow Optimization: Common sequences should be streamlined
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```
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## Progressive Disclosure
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```yaml
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Beginner Mode:
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Guided Experience: Step-by-step instructions
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Explanatory Output: Why each step is needed
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Safety Rails: Prevent destructive operations
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Learning Resources: Links to documentation and tutorials
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Intermediate Mode:
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Balanced Output: Key information without overwhelming detail
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Useful Shortcuts: Common flag combinations and aliases
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Context Hints: Suggestions based on current state
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Flexible Options: More configuration choices available
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Expert Mode:
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Minimal Output: Just essential information
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Advanced Features: Full power and customization
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Direct Control: Override safety checks when needed
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Performance Focus: Optimized for speed and efficiency
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Adaptive Interface:
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Usage Detection: Automatically adjust based on user behavior
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Preference Learning: Remember user's preferred interaction style
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Context Switching: Different modes for different project types
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Customization: Allow users to configure their experience
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```
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## Workflow Discovery & Guidance
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```yaml
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Command Suggestions:
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Context-Aware: Suggest next logical steps based on current state
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Common Patterns: Recommend proven workflow sequences
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Problem-Specific: Tailored suggestions for specific issues
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Learning Opportunities: Introduce new features when relevant
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Interactive Help:
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Command Help: Detailed usage for specific commands
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Flag Explanations: What each flag does and when to use it
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Example Library: Real-world usage examples
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Troubleshooting: Common issues and solutions
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Workflow Templates:
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Project Types: Predefined workflows for different project types
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Use Cases: Common scenarios with step-by-step guides
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Best Practices: Recommended approaches for quality and safety
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Customization: Allow users to create and share their own templates
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```
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## Error Prevention & Recovery
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```yaml
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Proactive Prevention:
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Validation: Check prerequisites before execution
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Warnings: Alert about potential issues or risks
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Confirmation: Require explicit approval for destructive operations
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Simulation: Dry-run mode to preview changes
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Graceful Degradation:
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Partial Success: Continue with what's possible when some parts fail
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Alternative Paths: Suggest different approaches when primary fails
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Fallback Options: Automatic switches to backup methods
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Recovery Guidance: Clear steps to resolve issues and continue
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Learning from Errors:
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Pattern Recognition: Identify common user mistakes
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Preventive Measures: Add checks for frequently encountered issues
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Documentation Updates: Improve help based on common confusion
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Interface Improvements: Redesign confusing or error-prone interactions
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```
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## Performance & Responsiveness
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```yaml
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Response Time Expectations:
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Immediate: Command acknowledgment, simple queries
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Fast: File operations, simple analysis
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Moderate: Complex analysis, building, testing
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Long (>10s): Deployment, migration, comprehensive operations
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Progress Communication:
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Quick Start: Show immediate activity indicator
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Detailed Progress: Break down long operations into steps
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Time Estimates: Provide realistic completion predictions
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Cancellation: Allow users to interrupt long operations
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Resource Management:
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Token Awareness: Monitor and display context usage
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Memory Efficiency: Optimize for large codebases
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Network Usage: Minimize unnecessary requests
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Caching: Reuse results when appropriate
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```
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## Accessibility & Inclusivity
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```yaml
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Output Formatting:
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Screen Readers: Structured output that reads well
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Color Blind: Don't rely solely on color for information
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Low Vision: High contrast, clear typography
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Motor Impairments: Keyboard shortcuts, minimal mouse requirements
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Language & Terminology:
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Clear Language: Avoid jargon when possible
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Consistent Terms: Use same words for same concepts
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Internationalization: Support for multiple languages
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Cultural Sensitivity: Inclusive examples and references
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Learning Styles:
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Visual Learners: Diagrams, charts, visual representations
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Auditory Learners: Clear explanations, logical flow
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Kinesthetic Learners: Interactive exercises, hands-on examples
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Reading/Writing: Comprehensive documentation, examples
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```
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## Customization & Personalization
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```yaml
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User Preferences:
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Output Verbosity: Detailed, normal, minimal
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Color Schemes: Support for different terminal themes
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Confirmation Levels: When to ask for approval
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Default Flags: Commonly used flags for each command
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Project Configuration:
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Workflow Presets: Saved command sequences for project
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Quality Gates: Project-specific standards and thresholds
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Tool Preferences: Choice of testing frameworks, linters, etc.
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Environment Settings: Development, staging, production configs
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Team Settings:
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Shared Workflows: Common patterns across team members
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Code Standards: Enforced quality and style requirements
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Review Processes: Required steps before deployment
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Communication: How and when to notify team members
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```
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## Feedback & Improvement
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```yaml
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Usage Analytics:
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Command Frequency: Which commands are used most often
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Error Patterns: Common failure points and user confusion
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Workflow Analysis: How users combine commands
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Performance Metrics: Response times and user satisfaction
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User Feedback:
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In-App Feedback: Quick way to report issues or suggestions
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Feature Requests: Channel for users to propose improvements
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Bug Reports: Structured way to report problems
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Success Stories: Positive feedback and use cases
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Continuous Improvement:
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Regular Updates: Frequent improvements based on feedback
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A/B Testing: Try different approaches with different users
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Community Input: Involve users in design decisions
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Documentation: Keep help and examples current and useful
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```
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## Integration Points
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```yaml
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Command Integration:
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Consistent Patterns: Same UX principles across all commands
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Shared Components: Common UI elements and behaviors
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Context Preservation: Maintain user state across commands
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Workflow Continuity: Smooth transitions between operations
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External Tools:
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IDE Integration: Work well within development environments
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Terminal Enhancement: Support for modern terminal features
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Documentation Tools: Generate and maintain help content
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Monitoring Systems: Track user experience metrics
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Platform Adaptation:
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Operating Systems: Optimize for Windows, macOS, Linux
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Shell Environments: Work well with bash, zsh, PowerShell
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Cloud Platforms: Integration with cloud development environments
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Container Systems: Effective operation within containers
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```
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---
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*User experience: Human-centered design for developer productivity*
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