Prompt Engineering

inferen-sh/skills

A comprehensive guide for getting better outputs from AI models through structured prompting techniques. Covers role-based prompting, chain-of-thought reasoning, few-shot examples, and output format specification for LLMs like Claude and GPT-4. Also includes image generation prompting with style keywords, composition control, and negative prompts for models like FLUX. The video prompting section covers camera movements and action descriptions for models like Veo. Works through the inference.sh CLI so you can test techniques immediately. Most useful when you're getting inconsistent AI outputs or need to solve complex multi-step tasks that require precise instruction.

skills.sh installs

6.4K

GitHub stars

173

belt login

# Well-structured LLM prompt
belt 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."
}'

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

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