About automation-skills
A collection of 10 research automation skills for research teams and AI agents. It spans experiment tracking, data collection, reproducible pipelines, research workflows, and agent-based scientific discovery.
Key features
- 01Agentic scientific discovery
- 02Experiment tracking and comparison
- 03Survey and data collection automation
- 04Reproducible data pipelines
- 05Research workflow automation
- 06Paper-to-agent exploration
Use cases
- 01Compare research experiments
- 02Automate survey deployment and collection
- 03Build reproducible data science pipelines
- 04Turn a research paper into an interactive agent
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/automation-skillsin Claude Code to confirm it loaded.
Details
From the project READMEResearch Automation — 10 Skills
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 |
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