prompt-engineering
Techniques and patterns for crafting effective prompts across LLMs, image generators, and video models.
- Covers LLM prompting fundamentals: role assignment, task clarity, chain-of-thought reasoning, few-shot examples, output format specification, and constraint setting
- Image generation structure includes subject description, style keywords, composition control, quality modifiers, and negative prompt usage
- Video prompting guidance covers shot types, camera movement, action description, and temporal keywords for cinematic results
- Includes model-specific tips for Claude, GPT-4, FLUX, and Veo, plus common mistakes with fixes and reusable prompt templates for code review, content writing, and image generation
- All examples use the
infshCLI to demonstrate live prompting against real models
Install the belt CLI skill:
npx skills add belt-sh/cli
Prompt Engineering Guide
Master prompt engineering for AI models via inference.sh CLI.
Quick Start
Requires inference.sh CLI (
belt). Install instructions
belt login
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