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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

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--- name: prompt-engineering description: "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" allowed-tools: Bash(infsh *) --- # Prompt Engineering Guide Master prompt engineering for AI models via [inference.sh](https://inference.sh) CLI. ![Prompt Engineering Guide](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kgvftjwhby36trvaj66bwzcf.jpeg) ## Quick Start > Requires inference.sh CLI (`infsh`). Get installation instructions: `npx skills add inference-sh/skills@agent-tools` ```bash infsh login # Well-structured LLM prompt infsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "You are a senior software engineer. Review this code for security vulnerabilities:\n\n```python\nuser_input = request.args.get(\"query\")\nresult = db.execute(f\"SELECT * FROM users WHERE name = {user_input}\")\n```\n\nProvide specific issues and fixes." }' ``` ## LLM Prompting ### Basic Structure ``` [Role/Context] + [Task] + [Constraints] + [Output Format] ``` ### Role Prompting ```bash infsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "You are an expert data scientist with 15 years of experience in machine learning. Explain gradient descent to a beginner, using simple analogies." }' ``` ### Task Clarity ```bash # Bad: vague "Help me with my code" # Good: specific "Debug this Python function that should return the sum of even numbers from a list, but returns 0 for all inputs: def sum_evens(numbers): total = 0 for n in numbers: if n % 2 == 0: [... prompt truncated for preview ...]