Design, review, and optimize prompts for Claude, GPT, and other LLMs.
npx skills add https://github.com/SZoloth/skill-pack --skill prompt-engineer-szoloth
Please help me install this Agent Skill. Skill: prompt-engineer Source: https://github.com/SZoloth/skill-pack/tree/main/skills/prompt-engineer Command: npx skills add https://github.com/SZoloth/skill-pack --skill prompt-engineer-szoloth
## What problem does it solve? Prompt engineering for AI teams to craft clear, actionable prompts, reduce misinterpretation, and enable reuse across tasks.
## Core Features & Use Cases
### Quick Start Draft a Type 1 prompt brief by stating the task, success criteria, and context.
High-intent search queries and answers about installing and using this skill.
To write clear AI prompts, state the task, success criteria, and context upfront using structured workflows. This approach reduces misinterpretation by applying opinionated guidance and best-practice frameworks for prompt design.
The best way to create reusable LLM system instructions is to apply structured frontmatter-driven configuration and clear guidance. This enables precise prompt design and QA across Claude, GPT, or other AI models in engineering contexts.
Prompt engineering applies to product and research contexts by enabling precise prompt creation, review, and optimization. It uses Type 1, Type 2, and Type 3 prompt patterns with structured workflows to achieve actionable AI outputs.
Yes, you can use structured prompt patterns for Claude and GPT models. The framework supports system instruction development and prompt optimization across various LLMs, applying best-practice references and safety checks.
AI prompts fail to produce consistent results when they lack clear instruction guidance and structured workflows. Using anti-patterns, examples with reasoning, and frontmatter-driven configuration ensures reusable, precise prompt design and reduces misinterpretation.
phyter1Read identity data, recent history, inbox messages, and objectives to establish system context.
Orchestra-ResearchFilter LLM input and output for harmful content using Meta's LlamaGuard model.
truongnatIntegrate Claude or OpenAI APIs with prompts, streaming, and tool calls.
i0switchCraft robust prompts, hooks, and agent instructions for reliable LLM interactions.
