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smallmodel-auto-experiment-skill
`auto-experiment` 是一个用于机器学习实验自动化的 Claude Skill。它会根据用户提供的任务描述、模型代码、数据集信息和优化目标，自动生成训练脚本与配置文件，在双 agent 审计通过后，循环调用 DeepSeek 提出改进方案，执行训练、记录结果、追踪 git 变更，并持续保存当前最优配置与 checkpoint。它适合用来做自动化调参、架构搜索和可追踪的实验迭代。此skill还只是雏形，还需迭代，目前只是用来测试学习，还仅限于小模型，对于llm大模型还未测试
2stars
1forks
Python
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest zxl696/smallmodel-auto-experiment-skillAuto-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/smallmodel-auto-experiment-skill curl -fsSL https://raw.githubusercontent.com/zxl696/smallmodel-auto-experiment-skill/main/SKILL.md -o ~/.claude/skills/smallmodel-auto-experiment-skill/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.
smallmodel-auto-experiment-skill — 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