Agent skill

aim-experiment-guide

Track and compare research experiments with Aim experiment tracker

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aim-experiment-guide --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/43-wentorai-research-plugins/skills/research/automation/aim-experiment-guide/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Aim Experiment Tracker Guide ## Overview Aim is an open-source experiment tracking platform designed for researchers and ML engineers who need to log, compare, and analyze large numbers of experiments. Unlike cloud-based tracking services that require sending data to external servers, Aim runs entirely on your own infrastructure, making it suitable for research environments with data privacy req

More from Auto-Empirical-Research-Skills
All skills →
About this skill
What does the aim-experiment-guide skill do?

Track and compare research experiments with Aim experiment tracker

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aim-experiment-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going