prompt-engineer
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model performance.
Install
git clone https://github.com/Jeffallan/claude-skills /tmp/claude-skills && ln -s /tmp/claude-skills/skills/prompt-engineer ~/.claude/skills/prompt-engineer
More from this repo
django-storages-s3
Used when configuring Django to store static and media files on AWS S3 with django-storages.
rag-architect
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector...
terraform-engineer
Used when implementing infrastructure as code with Terraform across AWS, Azure, or GCP.

