World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
5.1
Rating
0
Installs
AI & LLM
Category
This skill attempts to provide prompt engineering capabilities but suffers from significant misalignment between its stated purpose and actual content. The description promises specialized prompt engineering expertise (Claude, GPT-4, prompt patterns, RAG optimization, agentic systems), but SKILL.md is a generic template covering broad ML/data engineering topics with minimal prompt-specific guidance. While it references relevant files (prompt_engineering_patterns.md, agentic_system_design.md) that could contain valuable content, the main document is cluttered with irrelevant sections on data processing, Kubernetes, monitoring tools, and performance targets unrelated to prompt engineering. The CLI invokeability is moderate—scripts are listed but lack clear parameter explanations. Task knowledge appears present in referenced files, earning partial credit. Structure is poor due to template bloat obscuring core prompt engineering content. Novelty is very low because most prompt engineering tasks (writing prompts, few-shot examples, chain-of-thought) can be done directly by a capable LLM without specialized tooling. The skill would benefit from removing 70% of generic content and focusing exclusively on prompt optimization, evaluation frameworks, and agentic patterns as promised.
davila7
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