ai-ml-skills
27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill ai-ml --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AI & Machine Learning — 27 Skills Select the skill matching the user's need, then `read` its SKILL.md. | Skill | Description | |-------|-------------| | [ai-agent-papers-guide](./ai-agent-papers-guide/SKILL.md) | Curated 2024-2026 AI agent research papers collection | | [ai-model-benchmarking](./ai-model-benchmarking/SKILL.md) | Benchmark AI models across 60+ academic evaluation suites and metri
What does the ai-ml-skills skill do?
27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill ai-ml --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.