Optimizes LLM prompts through deterministic scoring and restructuring based on Anthropic best practices.
Claude Orator is a high-performance prompt engineering tool designed to refine and restructure instructions for better LLM performance without the need for additional API calls. By evaluating prompts across seven key dimensions—such as clarity, structure, and context—and applying eight specific Anthropic optimization techniques like XML tagging and Chain of Thought, it ensures your tasks are framed for maximum accuracy. It acts as a real-time rhetoric coach within Claude Code, proactively identifying vague inputs and suggesting structured optimizations to reduce hallucinations and improve output quality.
Key Features
01Deterministic scoring across 7 dimensions including Clarity and Specificity
02Minimal token overhead with in-memory processing
03Zero-latency execution with no external LLM or network calls
040 GitHub stars
05Real-time PreToolUse hooks to catch and fix vague prompts before execution
06Automated restructuring using 8 Anthropic-recommended techniques
Use Cases
01Enforcing consistent prompt engineering standards across a development team
02Auditing and scoring existing prompt templates for production readiness
03Transforming vague developer requests into structured, XML-tagged prompts
