prompt-engineering
v0.1.5Master 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....
Installation
Please help me install the skill `prompt-engineering` from SkillHub official store.
npx skills add okaris/prompt-engineering
Prompt Engineering Guide
Master prompt engineering for AI models via inference.sh CLI.
!Prompt Engineering Guide
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:nn```pythonnuser_input = request.args.get("query")nresult = db.execute(f"SELECT * FROM users WHERE name = {user_input}")n```nnProvide 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.
LLM Prompting
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:nnA 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?nnThink 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:nnExample 1:nInput: gonna send u the report tmrwnOutput: I will send you the report tomorrow.nnExample 2:nInput: cant make the meeting, something came upnOutput: I apologize, but I will be unable to attend the meeting due to an unforeseen circumstance.nnNow 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).nnReviews:n1. "Great product, fast shipping!"n2. "Meh, its okay I guess"n3. "Worst purchase ever, total waste of money"nnReturn 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.nn[article text]"
}'
Image Generation Prompting
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"
}'
Video Prompting
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
Advanced Techniques
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:nn"John Smith, CEO of TechCorp, announced yesterday that the company raised $50 million in Series B funding. The round was led by Venture Partners."nnSchema:n{n "person": string,n "title": string,n "company": string,n "event": string,n "amount": string,n "investor": stringn}"
}'
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."
}'
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
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
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