jaechang-hitsjaechang-hits/SciAgent-Skills/skills/scientific-computing/exploratory-data-analysis/SKILL.mdexploratory-data-analysis
Skill386 starsChanged 4 months agoLicence not identifiedView on GitHub
Methodology for exploratory data analysis on scientific files. Decision frameworks by data type (tabular, sequence, image, spectral, structural, omics), quality assessment, report generation, format detection across 200+ formats. Use when given a data file for initial exploration or to pick an analysis before a pipeline.
- Installs packages
27 other projects use a version of this.
Adopted by
Most recently taken up by
- shisuidata/ss-data-skillstheir own version, first seen Nov 8, 2026
- BrightGold70/skillstheir own version, first seen Nov 8, 2026
- SWEStash/swe-workflow-skillstheir own version, first seen Nov 8, 2026
- MarieLynneBlock/arcanum-artifextheir own version, first seen Nov 1, 2026
- JPeetz/agent-skillstheir own version, first seen Nov 1, 2026
- Big-LAORE/Biblioth-que-de-skillstheir own version, first seen Nov 1, 2026
Other versions27 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 27
- wu-yc/LabClaw★ 1.1ksame name
- LeonChaoX/qinyan-academic-skills★ 910same name
- qinyan-ai/qinyan-academic-skills★ 80same name
- Barrios88/barrios-skills★ 63same name
- ZanderRuss/obsidian-claude★ 19same name
- JPeetz/agent-skills★ 14same name
- fmschulz/omics-skills★ 9same name
- shisuidata/ss-data-skills★ 8same name
- MarieLynneBlock/arcanum-artifex★ 4same name
- JunMA98/Computer-science-claude-skills★ 3same name
17 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository149 other files it gives its agents.
- AGENTS.mdAGENTS.md
- integration-templates/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- sciagent-skill-creatorSkill
- pymc-bayesian-modelingSkill
- scikit-survival-analysisSkill
- statistical-analysisSkill
- statsmodels-statistical-modelingSkill
- cellpose-cell-segmentationSkill
- flowio-flow-cytometrySkill
- napari-image-viewerSkill
- opencv-bioimage-analysisSkill
- pyimagej-fiji-bridgeSkill
- scikit-image-processingSkill
- trackpy-particle-trackingSkill
- matplotlib-scientific-plottingSkill
- molecular-visualization-3dmolSkill
- multipanelSkill
- omics-plottingSkill
- plotly-interactive-plotsSkill
- scientific-visualizationSkill
- seaborn-statistical-plotsSkill
- statistical-significance-annotationSkill
- arboreto-grn-inferenceSkill
- biopython-molecular-biologySkill
- biopython-sequence-analysisSkill
- etetoolkitSkill
- homer-motif-analysisSkill
- macs3-peak-callingSkill
- scikit-bioSkill
- benchling-integrationSkill
- opentrons-protocol-apiSkill
- protocolsio-integrationSkill
- pylabrobotSkill
- western-blot-quantificationSkill
- histolab-wsi-processingSkill
- imaging-data-commonsSkill
- nnunet-segmentationSkill
- omero-integrationSkill
- pathmlSkill
- pydicom-medical-imagingSkill
- simpleitk-image-registrationSkill
- plannotate-plasmid-annotationSkill
- sgrna-design-guideSkill
- viennarna-structure-predictionSkill
- adaptyv-bioSkill
- esm-protein-language-modelSkill
- hmdb-databaseSkill
- interpro-databaseSkill
- matchms-spectral-matchingSkill
- maxquant-proteomicsSkill
- metabolomics-workbench-databaseSkill
- pride-databaseSkill
- pyopenms-mass-spectrometrySkill
- uniprot-protein-databaseSkill
- aeonSkill
- astropy-astronomySkill
- dask-parallel-computingSkill
- degenerate-input-filteringSkill
- geopandas-geospatialSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 25 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 25 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.