Summary
When you've got a folder full of experiment JSONs and CSVs scattered across results directories, this skill pulls them together into comparison tables with proper baselines and deltas. It handles the tedious parts: computing means and standard deviations across seeds, flagging outliers, identifying trends in hyperparameter sweeps. What I like is the structured insight format that forces you to go from observation to interpretation to next experiment, which keeps you from just staring at numbers. It'll also propose documentation updates when findings look significant. Basically saves you from writing the same pandas aggregation code every time you need to compare model runs.
Install to Claude Code
npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill analyze-results --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Files
SKILL.md
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Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
