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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.
| name | automation-skills |
| description | 10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools. |
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 |
Panel data analysis with fixed and random effects models
10 econometrics skills. Trigger: causal analysis, regression models, treatment effects, panel data. Design: method-centric guides with R/Python code and diagnostic tests.
Curated guide to generative AI covering LLMs and diffusion models
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.
Papers on LLMs for IT operations and AIOps research
10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods.
