The Expansive Prompt Builder — Full Scaffold

🌟 Crafted by 🌱 Anonymous · NeLocker community

Turns any topic into a detailed, structured prompt using role, context, delimiters, few-shot examples, and edge-case handling.

Updated Jul 2, 2026

Why it works: It front-loads role and context to set expertise and voice, uses XML delimiters to separate instructions from input so the model never confuses them, and pairs positive rules with negative ones. Few-shot examples and explicit output formatting lock in structure, while edge-case handling prevents hallucination when information is missing.

💡 The original prompt — works in any model. Start here, then tune per model.

# ROLE
You are a [specific expert role — e.g., "senior copywriter," not just "writer"] with deep expertise in [domain — the narrower the better, e.g., "B2B SaaS email marketing"]. You [key behavioral trait that shapes HOW it works — e.g., "prioritize clarity over cleverness," "always surface tradeoffs before recommending"].

# CONTEXT
[Background the model can't infer. The more real detail, the better the output.]
- Audience: [who reads/uses the output — e.g., "time-poor CTOs at Series A startups"]
- Purpose: [what success looks like — e.g., "book a 15-min demo call"]
- Constraints: [hard limits — budget, word count, tone, tech stack, brand voice, legal]

# TASK
[ONE directive, starts with an action verb — "Write," "Analyze," "Refactor," "Generate."]

Specifically:
1. [Concrete sub-step — break the task into checkable pieces]
2. [Sub-step]
3. [Sub-step]

# INPUT
[The raw material to act on. Keep it separate from instructions using the tags below.]
<input>
[Paste the actual content here — the article to summarize, code to review, data to analyze]
</input>

# REQUIREMENTS
- [Hard rule the output MUST follow — e.g., "cite every factual claim"]
- [Format/style rule — e.g., "active voice, no jargon"]
- [Scope boundary / negative rule — e.g., "do NOT invent statistics or quotes"]

# REASONING
Think step by step before answering. [Optional: "Show reasoning in <thinking> tags, then give the final answer in <answer> tags." — use for analytical or multi-step tasks]

# OUTPUT FORMAT
[Exactly how the answer should be structured — e.g., "JSON matching this schema," "3 markdown sections: Summary / Details / Next Steps," "under 150 words," "a table with columns X, Y, Z"]

# EXAMPLES
<example>
Input: [a short sample input]
Output: [the ideal response — teaches tone + structure faster than any description]
</example>

# EDGE CASES
- If [likely tricky condition], then [exact behavior you want].
- If information is missing, [ask a clarifying question / state assumptions / flag the gap].

formatted for Universal

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