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10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools.
4 of 24 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 4 comparable cases; this report requires 8.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
We need an automated ML engineering companion that retrieves arXiv papers on vision transformer acceleration and assists in refactoring our PyTorch code. Which skill guide covers this integration?
| Checked | Without skill | With skill |
|---|---|---|
| Directs the arXiv agent request to ./mle-agent-guide/SKILL.md. | Missed | Passed |
The instructions your model reads when the skill loads.
Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description |
|---|---|
| ai-scientist-v2-guide | Automated scientific discovery via agentic tree search by Sakana AI |
| aim-experiment-guide | Track and compare research experiments with Aim experiment tracker |
| claude-academic-workflow-guide | Claude Code template for LaTeX, Beamer, and R research workflows |
| data-collection-automation | Automate survey deployment, data collection, and pipeline management |
| datagen-research-guide | AI-driven multi-agent research assistant for end-to-end studies |
| kedro-pipeline-guide | Build reproducible data science pipelines with Kedro for research projects |
| mle-agent-guide | Intelligent companion for ML engineering with arXiv integration |
| paper-to-agent-guide | Transform research papers into interactive AI agents for exploration |
| rd-agent-guide | Microsoft AI-driven R&D agent for automated data and model development |
| research-workflow-automation | Automate repetitive research tasks with pipelines, schedulers, and scripting |
test cases passed with the skill
More skills from the same source and nearby in the registry, with their headline benchmark lift.