prompt-generator

name	prompt-generator
description	Tạo meta-prompt rõ cấu trúc, kiểm chứng được, giảm hallucination.

Prompt Generator

Create high-quality, structured prompts using meta-prompting best practices: task decomposition, expert personas, iterative verification, and hallucination minimization.

Workflow

Bước 0: Detect Mode

User cung cấp	Mode	Hành động
Mô tả yêu cầu (chưa có prompt)	Create	Chạy Phase 1 → 2 → 3 → 4
Prompt có sẵn cần cải tiến	Refine	Chạy checklist Phase 4 trước → xác định điểm yếu → sửa theo kết quả

Phase 1: Gather Requirements

Ask the user (one at a time, maximum 4 questions). Skip when answers are obvious from context.

1. Type: Detect or ask — what type of prompt?

   • System prompt: Persistent AI behavior across a conversation
   • Task prompt: One-shot, input → specific output
   • Conversational prompt: Multi-turn, requires memory/context handling
   • Role prompt: Character/persona, tone-focused

2. Goal: "What is the primary goal or role of the system you want to create?"

3. Output: "What specific outputs do you expect? (format, length, style)"

4. Accuracy: "How should it handle uncertainty? (disclaim, ask for sources, or best-effort)"

Minimize friction — 1-2 questions usually suffice when context is clear.

Phase 2: Decompose (if needed)

Tín hiệu	Decompose?
Prompt yêu cầu >= 3 expert domains khác nhau	Yes
Output cần cả phân tích + sáng tạo + validation	Yes
Single domain, straightforward input → output	No — skip to Phase 3

Khi decompose, assign expert personas — mỗi expert nhận instructions riêng, không shared memory:

• Expert Writer — copywriting, narrative, tone
• Expert Analyst — data, logic, verification
• Expert Python — code generation, computation
• Expert [Domain] — specialized knowledge

"Fresh eyes" — không assign cùng expert cho cả create AND validate.

Phase 3: Generate the Prompt

Consolidate vào 1 prompt cohesive. Dùng prompt-template — chỉ include sections phù hợp, omit phần không relevant.

Lưu ý khi generate:

• Match prompt structure theo prompt type (system vs task vs conversational vs role)
• Ưu tiên "must NOT" over "should" — negative framing hiệu quả hơn vì giảm ambiguity

Phase 4: Verify and Deliver

Self-review checklist trước khi deliver:

• No vague virtue words ("good", "helpful", "detailed") without specific definition
• No contradictory instructions (e.g., "be concise" + "include all details")
• No implicit assumptions — all context is explicitly stated
• Negative constraints are included (what NOT to do)
• Prompt type matches the use case
• If complex: suggest splitting into multi-prompt pipeline instead of mega-prompt

Then:

• Present the final prompt, organized and easy to follow
• Note expert reviews if used
• Offer to iterate if user wants adjustments

Anti-patterns to Avoid

When reviewing or generating prompts, flag these issues:

• Vague virtues: "Write a good summary" → "Write a 3-sentence summary focusing on key findings and action items"
• Overloaded prompt: Too many tasks in one prompt → suggest splitting
• Sycophancy traps: "Always agree" or "Never say no" → remove
• Missing scope: "Write marketing copy" without audience, channel, tone → clarify
• Prompt stuffing: Repeating the same instruction in multiple sections → deduplicate