Prompt Optimizer
Optimize prompts for Claude 4.x models (Sonnet 4.5, Haiku 4.5, Opus 4.5) using Anthropic's official guidance.
Core Principles
1. Be Explicit
Claude 4.x models follow instructions precisely. Request behaviors explicitly rather than hoping Claude infers them.
Less effective: Create an analytics dashboard
More effective: Create an analytics dashboard. Include as many relevant features and interactions as possible. Go beyond the basics to create a fully-featured implementation.
2. Provide Context for Why
Explain motivation behind instructions to help Claude generalize appropriately.
Less effective: NEVER use ellipses
More effective: Your response will be read aloud by a text-to-speech engine, so never use ellipses since the text-to-speech engine will not know how to pronounce them.
3. Align Examples with Desired Behavior
Claude pays close attention to examples. Ensure they demonstrate exactly what you want, without patterns you want to avoid.
Optimization Workflow
- Diagnose the issue (verbosity, formatting, tool use, instruction following)
- Select relevant patterns from references/patterns.md
- Apply the appropriate prompt snippets
- Test the optimized prompt
Quick Fixes by Issue
Too Verbose
Add: Keep responses concise and direct. Avoid unnecessary elaboration.
Too Much Markdown/Bullets
See references/formatting.md for detailed prompts to control output style.
Not Using Tools
Add: By default, implement changes rather than only suggesting them. Use tools to take action.
Generic "AI Slop" Output
Add creativity guidance or use the frontend-aesthetics pattern from references/patterns.md.
Not Following Instructions
Make instructions explicit, add context for why, frame positively (what TO do, not what NOT to do).
Reference Files
- references/patterns.md - Complete prompt snippets organized by use case
- references/formatting.md - Output format control patterns
- references/agentic.md - Tool use, parallel execution, and multi-context workflows
Load the appropriate reference file based on the optimization need.