denario
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation
View all platforms →skilz install davila7_claude-code-templates/denario skilz install davila7_claude-code-templates/denario --agent opencode skilz install davila7_claude-code-templates/denario --agent codex skilz install davila7_claude-code-templates/denario --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/davila7/claude-code-templates cp -r claude-code-templates/cli-tool/components/skills/scientific/denario ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Details
- Owner
- davila7
- Repository
- claude-code-templates
- Stars
- 13,835
- Forks
- 1,200
- Type
- Technical
- Meta-Domain
- web api
- Primary Domain
- api
- Sub-Domain
- patterns skill
- Skill Size
- 40.3 KB
- Files
- 5
- Quality Score
- 58.1
AI-Detected Topics
Extracted using NLP analysis
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