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Improve and rewrite user prompts to reduce ambiguity and improve LLM output quality. Use when a user asks to optimize, refine, clarify, or rewrite a prompt for better results, or when the request is about prompt optimization or prompt rewriting.
| name | prompt-optimization |
| description | Improve and rewrite user prompts to reduce ambiguity and improve LLM output quality. Use when a user asks to optimize, refine, clarify, or rewrite a prompt for better results, or when the request is about prompt optimization or prompt rewriting. |
Improve the user's prompt so Codex (or any LLM) produces better output while preserving intent.
Provide:
Edits, rewrites, or improves text for clarity, tone, grammar, or style.
Validate API changes against an expected contract. Use when a mid-level developer needs to detect breaking changes.
Define consistent API error codes and responses. Use when a mid-level developer needs error standardization.
Build a basic HTTP request (curl or fetch) for an API. Use when a junior developer needs a quick request example.
Optimize GraphQL queries and resolvers for performance. Use when a mid-level developer needs to reduce N+1 or payload size.
Review a system architecture for scalability, reliability, and maintainability. Use when a senior developer needs to critique a design.
