Agent skill · writing content · aiskillstore

prompt-engineering

Master prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought, few-shot, system prompts, negative prompts. Models: Claude, GPT-4, Gemini, FLUX, Veo, Stable Diffusion prompting. Use for: better AI outputs, consistent results, complex tasks, optimization. Triggers: prompt engineering, how to prompt, better prompts, prompt tips, prompting guide, llm prompting, image prompt, ai prompting, prompt optimization, prompt template, prompt structure, effective prompts, prompt techniques

Why this skill is useful

Provides specific techniques and structured prompts for optimizing AI model outputs that the AI wouldn't reliably generate on its own.

What it needs

Requires inference.sh installed locally. About 6k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.

What this skill does

Prompt Engineering Guide Master prompt engineering for AI models via inference.sh CLI. Quick Start python\nuserinput = request.args.get(\"query\")\nresult = db.execute(f\"SELECT FROM users WHERE name = {userinput}\")\n Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available. LLM Prompting Basic Structure Role Prompting Task Clarity Chain-of-Thought Few-Shot Examples Output Format Specification Constraint Setting Image Generation Prompting Basic Structure Subject Description Style Keywords Composition Control Quality Keywords Negative Prompts Video Prompting Basic Structure Camera Movement Action Description Temporal Keywords Advanced Techniques System Prompts Structured Output Iterative Refinement Multi-Turn Reasoning Model-Specific Tips Claude Excels at nuanced instructions Responds well to role-playing Good at following complex constraints Prefers explicit output formats GPT-4 Strong at code generation Works well with examples Good structured output Responds to "let's think step by step" FLUX Detailed subject descriptions Style references work well Lighting keywords important Negative prompts supported Veo Camera movement keywords Cinematic language works well Action descriptions important Include temporal context Common Mistakes Mistake Problem Fix --------- --------- ----- Too vague Unpredictable output Add specifics Too long Model loses focus Prioritize key info Conflicting Confuses model Remove contradictions No format Inconsistent output Specify format No examples Unclear expectations Add few-shot Prompt Templates Code Review Content Writing Image Generation Related Skills Browse all apps: infsh app list

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aiskillstore/prompt-engineering--8dd5e6

View the source on GitHub

Browse the @skills marketplace