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Sheshiyer
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prompt-engineering

Craft prompts and templates for LLMs, image generators, and video systems.

4|1|Updated Feb 10, 2026
Search Tags:#chain-of-thought#few-shot#prompt-engineering#system-prompts#image-prompting#llm-prompting#video-prompting
One-click install
npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill prompt-engineering-sheshiyer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-engineering
Source: https://github.com/Sheshiyer/brandmint-oracle-aleph/tree/main/skills/external/inference-sh/upstream/ab546d072f1e/guides/prompting/prompt-engineering
Command: npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill prompt-engineering-sheshiyer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Master prompt engineering for AI models across LLMs, image generators, and video models to consistently improve outputs and reduce ambiguity.

Core Features & Use Cases

  • Techniques: chain-of-thought, few-shot, system prompts, and negative prompts to shape model behavior.
  • Supported models: Claude, GPT-4, Gemini, FLUX, Veo, and Stable Diffusion prompting workflows.
  • Use cases: craft robust prompts for coding assistants, image generation, and multi-modal workflows; build reusable templates and evaluation criteria.

Quick Start

Compose a clear prompt plan using system prompts, a concise task description, and a few-shot example to guide the model toward a precise, reliable answer.

Frequently Asked Questions about prompt-engineering

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What's the best way to structure LLM prompting for consistent coding outputs?▼

Apply chain-of-thought prompting to break down complex reasoning into sequential steps, guiding LLMs like Claude or GPT-4 toward precise answers. This technique shapes model behavior for reliable coding and creative generation outputs.

How do I craft negative prompts for image generation workflows?▼

Build reusable prompt templates by combining system prompts, task descriptions, and few-shot examples into standardized formats. This streamlines prompt workflows and ensures consistent results across coding, creative generation, and automation tasks.

Can I use the same prompt engineering strategies for video generation models?▼

Compose a clear prompt plan using system prompts to define behavior, a concise task description, and a few-shot example. This structure guides models toward precise, reliable answers and reduces output ambiguity.

Why does my AI prompt produce inconsistent results across different models?▼

Inconsistent AI prompt results occur when prompts lack structural elements like system prompts, few-shot examples, or chain-of-thought reasoning. Standardizing prompt templates and applying evaluation criteria ensures consistent behavior across Claude, GPT-4, and Gemini.

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