Exploratory Data Analysis
Check supported local files for structure and missingness, then record sample limits in a redacted aggregate report.
- Documents & Office
- Data Analysis
- Agent Workflows
K-Dense AI
K-Dense AI maintains Scientific Agent Skills for Codex, Cursor, and other hosts. The collection covers data inspection, statistical analysis, visualization, and research writing.
About K-Dense AI
K-Dense AI maintains Scientific Agent Skills, an installable collection for research work. The repository covers exploratory analysis, statistical method selection, visualization, and scientific writing. Start with the inputs you have and the deliverable you need, then check the requirements of the selected Skill.
Local data inspection is a practical starting point. The exploratory data analysis Skill includes scripts that summarize supported CSV, TSV, and JSON files. Skills that call databases or APIs have separate access and data-handling requirements.
Research Skills from K-Dense AI
Find verified Skill guides for specific research tasks.
K-Dense AI’S Scientific Agent Skills Repository
Use the upstream catalog to select an installable research workflow. Check its input formats, tool dependencies, and output checks before running it on research data.
Explore Other Publishers
Meet other people and teams publishing open tools, projects, and Agent Skills.
Frequently Asked Questions
Which task makes a good first run?
Choose an authorized local CSV, TSV, or JSON file. Use the exploratory data analysis Skill to check file structure and missingness, then inspect what the summary actually covered.
Which hosts can install the collection?
The upstream installation guide documents hosts including Codex, Cursor, and Claude Code. Follow the instructions for your host and confirm the selected Skill is visible in the session.
Do I need to install every Skill?
Select the Skills that fit the task. Check the manifest, scripts, and dependencies for each one before adding tools to a research workspace.
Do the Skills need network access?
The exploratory data analysis Skill includes core scripts that run locally. Workflows that query an external database or service may require network access, credentials, and data permissions.
Does the repository license cover every Skill?
The repository uses the MIT license. Individual Skills may list different terms. Check the license field in the selected Skill’s SKILL.md before reuse.
How do I review a data inspection report?
Compare its coverage with the approved input files and supported formats. Exploratory summaries can identify missingness and anomalies. Formal research conclusions need their own checks.
Choose a Skill for Your Research Task
Find the upstream instructions for data inspection, study design, or statistical analysis. Review the inputs and requirements of the Skill you select.