Agens exploratory_data_analysis

skill_id: exploratory_data_analysis

install
source · Clone the upstream repo
git clone https://github.com/Gyoungwe/agens
manifest: skills/exploratory_data_analysis/skill.yaml
source content

skill_id: exploratory_data_analysis name: exploratory-data-analysis description: Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats. version: 1.0.0 author: K-Dense Inc. license: MIT license tags:

  • scientific-agent-skills
  • exploratory-data-analysis tools: [] permissions: network: false filesystem: false shell: false agents:
  • bio_code_agent enabled: true source: scientific-agent-skills entrypoint: entry.py readme: README.md input_schema: {} output_schema: type: object metadata: upstream_repo: K-Dense-AI/scientific-agent-skills upstream_skill: exploratory-data-analysis upstream_path: scientific-skills/exploratory-data-analysis/SKILL.md upstream_frontmatter: name: exploratory-data-analysis description: Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats. license: MIT license metadata: skill-author: K-Dense Inc.