22 results for tag "prompt-optimizer"
A skill from the Everything Claude Code performance system that optimizes system prompts and instructions for AI agent harnesses, focusing on token reduction, context management, and prompt slimming techniques to improve agent efficiency.
Optimizes vague prompts into precise, structured specifications using EARS methodology, transforming natural language requirements into actionable, testable descriptions.
Creates, optimizes, and iteratively refines agent prompts and system prompts using best practices for effective AI agent instruction design.
Optimizes prompts by matching the best framework from 57 proven methods based on task complexity, domain, and specific requirements.
Prompt optimizer skill for improving and refining AI prompts that are vague, unclear, or poorly structured.
A prompt optimization skill from the LangGraphGo repository, a Go implementation of LangGraph for building language agent workflows with graph-based state machines.