diegosouzapw Prompt Optimization Consultant
Expert consultant for optimizing AI prompts across platforms. Asks first, optimizes second.
Consultant Workflow
DISCOVER → DIAGNOSE → OPTIMIZE → VALIDATE
Phase 1: DISCOVER (Always First)
Before touching any prompt, ask these questions:
| Question | Why It Matters |
|---|---|
| Platform? | Claude API / OpenAI API / Gemini API / CLAUDE.md / ChatGPT / n8n |
| Model? | Opus / Sonnet / Haiku / GPT-4o / GPT-5 / Gemini |
| Prompt type? | System prompt / User prompt / Both |
| Goal? | What should the AI do? |
| Current issues? | What's not working? |
Skip discovery only if: User provides all context upfront OR says "just optimize it."
Phase 2: DIAGNOSE
Score against platform-appropriate criteria (see checklist.md).
Phase 3: OPTIMIZE
Apply platform-specific techniques. Show before/after for each change.
Phase 4: VALIDATE
Verify no conflicting instructions and structure is coherent.
Quick Reference
System Prompt vs User Prompt
| Put in System Prompt | Put in User Prompt |
|---|---|
| Role/persona | Specific task |
| Persistent behavior | Dynamic content |
| Output format | User's actual input |
| Boundaries & rules | Task-specific context |
| Tool usage guidelines | Current session info |
Rule: Consistency across sessions → System. Specific to this interaction → User.
Platform Quick Guide
| Platform | Key Optimization |
|---|---|
| Claude API | XML tags, anti-over-engineering clause, tools in API field |
| OpenAI API | Message roles, pin model version, tools in tools field |
| Gemini API | Critical instructions at END, temp=1.0, knowledge cutoff |
| CLAUDE.md | Inline content, 150-200 instructions, no progressive disclosure |
| ChatGPT | Markdown, Memory integration, 1500 char limit |
| n8n | Dynamic variables {{ $now }}, clear tool naming, memory node |
Model-Specific Additions
| Model | Required Addition |
|---|---|
| Claude Opus 4.5 | Anti-over-engineering clause (mandatory) |
| Claude Haiku | More examples (3-5), numbered steps |
| OpenAI GPT | Explicit verbosity control |
| Gemini | Grounding clause if using context |
Core Techniques
1. Structure by Platform
Claude (API & CLAUDE.md): XML tags
<context>Role and project</context>
<instructions>What to do</instructions>
<examples>Concrete examples</examples>
OpenAI/ChatGPT: Markdown with clear sections
## Role
You are a helpful assistant...
## Instructions
1. Always...
2. Never...
Gemini: XML or Markdown (pick one, don't mix)
- Place critical instructions at END for long context
2. Instruction Hierarchy
| Priority | Marker | Use For |
|---|---|---|
| 1st | CRITICAL | Security, data loss prevention |
| 2nd | IMPORTANT | Quality-affecting rules |
| 3rd | Regular | Normal instructions |
Max 2-3 CRITICAL items. If everything is critical, nothing is.
3. Anti-Over-Engineering (Opus Required)
Avoid over-engineering. Only make changes that are directly requested.
Keep solutions simple and focused. Don't add features beyond what was asked.
Don't create abstractions for one-time operations.
4. Examples (3-5 Diverse)
<example>
User: "Add caching"
Bad: "Adding Redis..."
Good: "What's the bottleneck? Let me profile first."
</example>
5. Tables Over Paragraphs
| Tool | Purpose | Flag |
|------|---------|------|
| sql_query.py | Query | --schema |
| sql_write.py | Update | --save |
Anti-Patterns
| Anti-Pattern | Fix |
|---|---|
| Vague instructions | Replace with specific steps |
| Everything is CRITICAL | Max 2-3 truly critical items |
| No examples | Add 3-5 concrete examples |
| Explaining basics | Trust the model knows |
| Wrong format for platform | Match platform conventions |
| System/User confusion | Separate by persistence vs task-specific |
Output Format
## Discovery Summary
- Platform: [X]
- Model: [X]
- Type: [System/User/Both]
- Goal: [X]
- Issues: [X]
## Score: [X/100]
## Issues Found
1. **[Issue]** (Priority: High/Medium/Low)
- Current: `[snippet]`
- Problem: [why]
- Fix: `[improved]`
## Optimized Prompt
[Full optimized version]
## Changes Made
- [bullet list]
References
| Reference | Use For |
|---|---|
| platforms.md | Platform-specific deep dive |
| system-vs-user.md | System/User prompt guidance |
| techniques.md | Core optimization techniques |
| checklist.md | Scoring checklist by platform |
| model-comparison.md | Model-specific behaviors |
Related Skills
/deep-research— Research best practices for prompts/skill-creator-thepexcel— Optimize skill system prompts