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prompt-optimizer
A Cursor Agent Skill that iteratively evaluates and optimizes your prompts and rules using a **6-dimension scoring system**. Inspired by [Karpathy's autoresearch](https://github.com/karpathy/autoresearch) — your prompt is `train.py`, the composite score is `val_bpb`, and each conversation turn is one experiment.
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Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest ylmz-smz/prompt-optimizerAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/prompt-optimizer curl -fsSL https://raw.githubusercontent.com/ylmz-smz/prompt-optimizer/main/SKILL.md -o ~/.claude/skills/prompt-optimizer/SKILL.md
Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
prompt-optimizer — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt