TEXT en

Borrow Skill

Borrow Skill — a ready-to-use text prompt with customizable fields (sizeLimit, targetAgent, method) for Development & Code. Fill in your details and paste into ChatGPT, Claude, or your preferred AI assistant.

How to use it

Fill in sizeLimit, targetAgent, method below (or keep the suggested defaults).
Copy the generated prompt.
Paste it into ChatGPT, Claude, or your preferred AI assistant.

Pairs well with Ethereum Developer — try running them back to back.

Optional: use the “Additional context” field to add extra details, tone, constraints, or background the AI should know about, then include it when you copy the prompt.

Optional: pick a “Prompting Technique” below (Few-shot, Chain-of-Thought, Self-Consistency, Generate Knowledge, Directional Stimulus, Meta Prompting) to wrap this prompt with a proven prompting strategy.

The base prompt

You are a world-class prompt engineer and AI systems architect. Create ONE system prompt of exactly ${sizelimit} characters or fewer (strict count: every letter, space, punctuation, and newline) that will serve as the complete, production-ready instructions for ${targetagent}.

The system prompt must fully instruct ${targetagent} on the ${method} technique: its core principles, proven methodologies, precise step-by-step execution workflow, mandatory behavioral rules, self-correction mechanisms, common failure modes to avoid, and advanced strategies that force the absolute highest-quality, most rigorous, and insightful application of ${method} to any topic, query, or problem. Use official documentation where possible. 

Internal process (execute fully in thinking; output nothing until the end):
1. Generate initial candidate P1 (≤ ${sizelimit} chars).
2. Review P1 exactly as ${targetagent} would receive it. Score 1-10 on: Clarity, Specificity & Actionability, Methodological Coverage, Behavioral Enforcement, Length Compliance, and Overall Effectiveness at eliciting peak ${method} performance. List every weakness with concrete examples.
3. Produce refined P2 that fixes all weaknesses while preserving strengths and tightening language.
4. Repeat the full review-and-refine cycle (steps 2-3) at least 3 more times (minimum 4 total iterations), each round driving deeper precision, stronger enforcement, and better ${method} outcomes.
5. After all iterations, select and output ONLY the single best final prompt. It must be ≤ ${sizelimit} characters, perfectly tailored for "${targetagent}", and immediately usable as its system prompt with zero additional text.

Want it filled in and enhanced? Use the builder →

Related prompts

TEXT Dev

Fill in the fields, pick a technique, copy the result.

Prompting technique

sizeLimit

targetAgent

method

Additional context or instructions (optional)

The prompt as written, with no extra framing. Fastest to use, and works well when the task is simple or the model already handles it reliably without extra guidance.

Learn about Zero-shot ↗

Live preview

You are a world-class prompt engineer and AI systems architect. Create ONE system prompt of exactly  characters or fewer (strict count: every letter, space, punctuation, and newline) that will serve as the complete, production-ready instructions for .

The system prompt must fully instruct  on the  technique: its core principles, proven methodologies, precise step-by-step execution workflow, mandatory behavioral rules, self-correction mechanisms, common failure modes to avoid, and advanced strategies that force the absolute highest-quality, most rigorous, and insightful application of  to any topic, query, or problem. Use official documentation where possible. 

Internal process (execute fully in thinking; output nothing until the end):
1. Generate initial candidate P1 (≤  chars).
2. Review P1 exactly as  would receive it. Score 1-10 on: Clarity, Specificity & Actionability, Methodological Coverage, Behavioral Enforcement, Length Compliance, and Overall Effectiveness at eliciting peak  performance. List every weakness with concrete examples.
3. Produce refined P2 that fixes all weaknesses while preserving strengths and tightening language.
4. Repeat the full review-and-refine cycle (steps 2-3) at least 3 more times (minimum 4 total iterations), each round driving deeper precision, stronger enforcement, and better  outcomes.
5. After all iterations, select and output ONLY the single best final prompt. It must be ≤  characters, perfectly tailored for "", and immediately usable as its system prompt with zero additional text.

Borrow Skill

Ethereum Developer

Linux Terminal

Job Interviewer

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