Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026). Use when user says \"优化技能\", \"meta optimize\", \"improve skills\", \"分析使用记录\", or wants to optimize ARIS's own harness components based on accumulated experience.
How to install meta-optimize?
wanshuiyin/auto-claude-code-research-in-sleep/meta-optimize
$npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill meta-optimizeInstalls into the current project.
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Run `npx skills use "https://github.com/wanshuiyin/auto-claude-code-research-in-sleep" --skill "wanshuiyin/auto-claude-code-research-in-sleep/meta-optimize"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/wanshuiyin/auto-claude-code-research-in-sleep" that are relevant to the current task. Run `npx skills add "https://github.com/wanshuiyin/auto-claude-code-research-in-sleep"` and select the relevant skills, then follow their instructions.
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