automation-skills
10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools.
Best use case
automation-skills is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools.
Teams using automation-skills should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/automation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How automation-skills Compares
| Feature / Agent | automation-skills | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Research Automation — 10 Skills Select the skill matching the user's need, then `read` its SKILL.md. | Skill | Description | |-------|-------------| | [ai-scientist-v2-guide](./ai-scientist-v2-guide/SKILL.md) | Automated scientific discovery via agentic tree search by Sakana AI | | [aim-experiment-guide](./aim-experiment-guide/SKILL.md) | Track and compare research experiments with Aim experiment tracker | | [claude-academic-workflow-guide](./claude-academic-workflow-guide/SKILL.md) | Claude Code template for LaTeX, Beamer, and R research workflows | | [data-collection-automation](./data-collection-automation/SKILL.md) | Automate survey deployment, data collection, and pipeline management | | [datagen-research-guide](./datagen-research-guide/SKILL.md) | AI-driven multi-agent research assistant for end-to-end studies | | [kedro-pipeline-guide](./kedro-pipeline-guide/SKILL.md) | Build reproducible data science pipelines with Kedro for research projects | | [mle-agent-guide](./mle-agent-guide/SKILL.md) | Intelligent companion for ML engineering with arXiv integration | | [paper-to-agent-guide](./paper-to-agent-guide/SKILL.md) | Transform research papers into interactive AI agents for exploration | | [rd-agent-guide](./rd-agent-guide/SKILL.md) | Microsoft AI-driven R&D agent for automated data and model development | | [research-workflow-automation](./research-workflow-automation/SKILL.md) | Automate repetitive research tasks with pipelines, schedulers, and scripting |
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