Awesome-Agent-Skills-for-Empirical-Research automation-skills

10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools.

install
source · Clone the upstream repo
git clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/43-wentorai-research-plugins/skills/research/automation" ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-automation-skills && rm -rf "$T"
manifest: skills/43-wentorai-research-plugins/skills/research/automation/SKILL.md
source content

Research Automation — 10 Skills

Select the skill matching the user's need, then

read
its SKILL.md.

SkillDescription
ai-scientist-v2-guideAutomated scientific discovery via agentic tree search by Sakana AI
aim-experiment-guideTrack and compare research experiments with Aim experiment tracker
claude-academic-workflow-guideClaude Code template for LaTeX, Beamer, and R research workflows
data-collection-automationAutomate survey deployment, data collection, and pipeline management
datagen-research-guideAI-driven multi-agent research assistant for end-to-end studies
kedro-pipeline-guideBuild reproducible data science pipelines with Kedro for research projects
mle-agent-guideIntelligent companion for ML engineering with arXiv integration
paper-to-agent-guideTransform research papers into interactive AI agents for exploration
rd-agent-guideMicrosoft AI-driven R&D agent for automated data and model development
research-workflow-automationAutomate repetitive research tasks with pipelines, schedulers, and scripting