Library

Matplotlib agent skills, page 3

Skills #97–108 of 108, ranked by score.

Matplotlib skills, ranked

Ranked by score. Sort bymost stars,trending,newest,recently updated

Matplotlib skills, ranked
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97

Graph and network analysis toolkit. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills3701 repo~5.8kAutomated safety check: PassBSD-3-Clause9 days ago
98

Interactive visualization with Plotly. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills3701 repo~4.5kAutomated safety check: PassMIT9 days ago
99

Load when summarising STAR / HISAT2 / Salmon alignment-rate logs in bulk RNA-seq.

TianGzlab/OmicsClaw161—~1.3kAutomated safety check: PassApache-2.0today
100

将用户的研究描述转换为高质量学术图表,自动推荐最佳图表类型并生成matplotlib/seaborn代码,输出≥300 DPI的PDF/SVG/PNG。

csmar432/finai-research109—~2.6kAutomated safety check: PassMIT2 days ago
101

A skill your agent uses when performing exploratory data analysis, statistical testing, data visualization, or building predictive models.

majiayu000/claude-skill-registry6661 repo~4.3kAutomated safety check: PassMITtoday
102

Visualization type selection matrix by data type and analysis purpose, matplotlib/seaborn/plotly implementation pattern guide.

revfactory/harness-1001.3k—~1.3kAutomated safety check: PassApache-2.06 mo ago
103

Publication-quality data visualization with matplotlib, seaborn, and plotly

wentorai/research-plugins2981 repo~1.8kAutomated safety check: PassMIT3 mo ago
104

Create, review, and restyle data visualizations using Edward Tufte principles: high data-ink ratio, direct labels, range-frame axes, small multiples, accessible color, responsive charts, and honest…

Mathews-Tom/armory328—~2.5kAutomated safety check: PassMIT2 days ago
105

A skill your agent uses when plotting GeoPandas data, building interactive maps, classifying choropleths, adding tile context, or geocoding and reverse-geocoding addresses.

VectorSpaceLab/AREX-Skill328—~914Automated safety check: PassBSD-3-Clause1 mo ago
106

MANDATORY whenever a task involves training, fine-tuning, tuning, or evaluating a machine-learning model on data (tabular, time series, text, images — any modality).

hashgraph-online/awesome-codex-plugins1.2k—~3.2kAutomated safety check: PassApache-2.0today
107

Create clear, effective charts and dashboards from structured data using matplotlib, seaborn, and plotly.

seb1n/awesome-ai-agent-skills206—~2kAutomated safety check: PassMIT1 mo ago
108

Create scientific plots and visualizations using matplotlib and seaborn

lamm-mit/scienceclaw244—~1.4kAutomated safety check: PassApache-2.01 mo ago