Prompt Engineering

Prompt Engineering Guide

Master prompt engineering for AI models via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && 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." }' 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.

Basic Structure

[Role/Context] + [Task] + [Constraints] + [Output Format]

Role Prompting

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

# 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: total += n return total Identify the bug and provide the corrected code."

Chain-of-Thought

infsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "Solve this step by step:\n\nA store sells apples for $2 each and oranges for $3 each. If someone buys 5 fruits and spends $12, how many of each fruit did they buy?\n\nThink through this step by step before giving the final answer." }'

Few-Shot Examples

infsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "Convert these sentences to formal business English:\n\nExample 1:\nInput: gonna send u the report tmrw\nOutput: I will send you the report tomorrow.\n\nExample 2:\nInput: cant make the meeting, something came up\nOutput: I apologize, but I will be unable to attend the meeting due to an unforeseen circumstance.\n\nNow convert:\nInput: hey can we push the deadline back a bit?" }'

Output Format Specification

infsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "Analyze the sentiment of these customer reviews. Return a JSON array with objects containing \"text\", \"sentiment\" (positive/negative/neutral), and \"confidence\" (0-1).\n\nReviews:\n1. \"Great product, fast shipping!\"\n2. \"Meh, its okay I guess\"\n3. \"Worst purchase ever, total waste of money\"\n\nReturn only valid JSON, no explanation." }'

Constraint Setting

infsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "Summarize this article in exactly 3 bullet points. Each bullet must be under 20 words. Focus only on actionable insights, not background information.\n\n[article text]" }'

Basic Structure

[Subject] + [Style] + [Composition] + [Lighting] + [Technical]

Subject Description

# Bad: vague "a cat" # Good: specific infsh app run falai/flux-dev --input '{ "prompt": "A fluffy orange tabby cat with green eyes, sitting on a vintage leather armchair" }'

Style Keywords

infsh app run falai/flux-dev --input '{ "prompt": "Portrait photograph of a woman, shot on Kodak Portra 400 film, soft natural lighting, shallow depth of field, nostalgic mood, analog photography aesthetic" }'

Composition Control

infsh app run falai/flux-dev --input '{ "prompt": "Wide establishing shot of a cyberpunk city skyline at night, rule of thirds composition, neon signs in foreground, towering skyscrapers in background, rain-slicked streets" }'

Quality Keywords

photorealistic, 8K, ultra detailed, sharp focus, professional, masterpiece, high quality, best quality, intricate details

Negative Prompts

infsh app run falai/flux-dev --input '{ "prompt": "Professional headshot portrait, clean background", "negative_prompt": "blurry, distorted, extra limbs, watermark, text, low quality, cartoon, anime" }'

Basic Structure

[Shot Type] + [Subject] + [Action] + [Setting] + [Style]

Camera Movement

infsh app run google/veo-3-1-fast --input '{ "prompt": "Slow tracking shot following a woman walking through a sunlit forest, golden hour lighting, shallow depth of field, cinematic, 4K" }'

Action Description

infsh app run google/veo-3-1-fast --input '{ "prompt": "Close-up of hands kneading bread dough on a wooden surface, flour dust floating in morning light, slow motion, cozy baking aesthetic" }'

Temporal Keywords

slow motion, timelapse, real-time, smooth motion, continuous shot, quick cuts, frozen moment

System Prompts

infsh app run openrouter/claude-sonnet-45 --input '{ "system": "You are a helpful coding assistant. Always provide code with comments. If you are unsure about something, say so rather than guessing.", "prompt": "Write a Python function to validate email addresses using regex." }'

Structured Output

infsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "Extract information from this text and return as JSON:\n\n\"John Smith, CEO of TechCorp, announced yesterday that the company raised $50 million in Series B funding. The round was led by Venture Partners.\"\n\nSchema:\n{\n \"person\": string,\n \"title\": string,\n \"company\": string,\n \"event\": string,\n \"amount\": string,\n \"investor\": string\n}" }'

Iterative Refinement

# Start broad infsh app run falai/flux-dev --input '{ "prompt": "A castle on a hill" }' # Add specifics infsh app run falai/flux-dev --input '{ "prompt": "A medieval stone castle on a grassy hill" }' # Add style infsh app run falai/flux-dev --input '{ "prompt": "A medieval stone castle on a grassy hill, dramatic sunset sky, fantasy art style, epic composition" }' # Add technical infsh app run falai/flux-dev --input '{ "prompt": "A medieval stone castle on a grassy hill, dramatic sunset sky, fantasy art style by Greg Rutkowski, epic composition, 8K, highly detailed" }'

Multi-Turn Reasoning

# First: analyze infsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "Analyze this business problem: Our e-commerce site has a 70% cart abandonment rate. List potential causes." }' # Second: prioritize infsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "Given these causes of cart abandonment: [previous output], rank them by likely impact and ease of fixing. Format as a priority matrix." }' # Third: action plan infsh app run openrouter/claude-sonnet-45 --input '{ "prompt": "For the top 3 causes identified, provide specific A/B tests we can run to validate and fix each issue." }'

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

MistakeProblemFixToo vagueUnpredictable outputAdd specificsToo longModel loses focusPrioritize key infoConflictingConfuses modelRemove contradictionsNo formatInconsistent outputSpecify formatNo examplesUnclear expectationsAdd few-shot

Code Review

• Review this [language] code for:
• 1. Bugs and logic errors
• 2. Security vulnerabilities
• 3. Performance issues
• 4. Code style/best practices
• Code:
• [code]
• For each issue found, provide:
• Line number
• Issue description
• Severity (high/medium/low)
• Suggested fix

Content Writing

Write a [content type] about [topic]. Audience: [target audience] Tone: [formal/casual/professional] Length: [word count] Key points to cover: 1. [point 1] 2. [point 2] 3. [point 3] Include: [specific elements] Avoid: [things to exclude]

Image Generation

[Subject with details], [setting/background], [lighting type], [art style or photography style], [composition], [quality keywords]

Related Skills

# Video prompting guide npx skills add inference-sh/skills@video-prompting-guide # LLM models npx skills add inference-sh/skills@llm-models # Image generation npx skills add inference-sh/skills@ai-image-generation # Full platform skill npx skills add inference-sh/skills@inference-sh Browse all apps: infsh app list