majiayu000 Improve Prompt
Transform prompts into optimized, production-ready versions.
Purpose
Analyze and enhance prompts by:
- Identifying weaknesses and ambiguities
- Applying prompt engineering best practices
- Optimizing for specific models (Claude, Gemini, GPT)
- Structuring for consistent outputs
- Adding appropriate constraints and examples
When to Use
Ideal for:
- Prompts that get inconsistent results
- Prompts that need to work across models
- Complex prompts requiring structure
- Prompts for production use
Avoid when:
- Simple, one-off questions
- Conversational queries
Workflow
Step 1: Analyze Current Prompt
Evaluate the prompt for:
- Clarity: Is the task unambiguous?
- Completeness: Is all necessary context provided?
- Structure: Is it well-organized?
- Constraints: Are boundaries defined?
- Examples: Are examples provided if needed?
- Output format: Is expected output specified?
Step 2: Identify Improvements
Common issues to address:
- Vague instructions → Make specific
- Missing context → Add relevant background
- No output format → Specify structure
- No examples → Add few-shot examples
- No constraints → Add guardrails
- Too long → Consolidate and prioritize
Step 3: Apply Best Practices
For Claude:
- Use XML tags for structure
- Leverage extended thinking for complex tasks
- Request step-by-step reasoning
- Use positive framing ("do X" not "don't do Y")
For all models:
- Put important instructions at start and end
- Use numbered steps for sequences
- Provide concrete examples
- Specify output format explicitly
- Include edge case handling
Step 4: Generate Improved Prompt
Output the optimized prompt with:
- Clear structure
- Explicit instructions
- Defined output format
- Examples if beneficial
Output Format
## Prompt Analysis
**Original prompt issues:**
1. [Issue 1]
2. [Issue 2]
**Improvements applied:**
1. [Improvement 1]
2. [Improvement 2]
---
## Improved Prompt
[The optimized prompt, ready to copy]
---
## Usage Notes
- **Best for:** [model/use case]
- **Expected output:** [description]
- **Variations:** [any suggested variations]
Quality Gates
- All ambiguities resolved
- Output format specified
- Appropriate length (not bloated)
- Tested mentally for edge cases
- Model-appropriate techniques used
Examples
Example: Vague prompt improvement
Before: Summarize this document
After: Summarize the following document in 3-5 bullet points. Focus on:
Key findings or conclusions Important data points Recommended actions
Format each bullet as: [Topic]: [1-2 sentence summary] [Document content here]