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Statistics
k-dense-ai/scientific-agent-skills
1.7K installs 52.6K GitHub stars

statsmodels

Fits and diagnoses Python statistical models including OLS, GLM, discrete and mixed models, ARIMA and SARIMAX. Supports coefficient inference, marginal effects, model comparison and time series forecasting with explicit design and uncertainty checks. Used for econometrics and statistical modeling; for guided test selection with APA reporting, see statistical-analysis.

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Agent developmentClaude
daymade/claude-code-skills
1.3K installs 1.5K GitHub stars

statusline-generator

Installs, configures, customizes, or troubleshoots the Claude Code statusline (cwd, model, token counts). Use when the user wants to set up or change the statusline, switch minimal vs full layouts, show absolute token counts instead of a percentage, add cost via ccusage, or fix a statusline that is blank, silent, stuck, or stopped updating. Trigger phrases: 状态栏, 状态栏不显示, 状态栏空白, "statusline blank", …

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Low community score

: This skill has a community score below −5, meaning it has received more downvotes than upvotes. Review its source and assessment before installing. Community votes are not a security review.

LESS SETUP. MORE POSSIBILITY.

Find it. Add it.
Make something.

Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.

01

Search the actual skill.

A name only tells half the story. Search the full description and instructions to find the right fit.

02

Get to know it.

Read the skill, visit its source, and see exactly what you’re adding to your agent.

03

Give your agent a new ability.

Copy the install command from a skill page and run it in your project.

npx skillycli add owner/repo --skill name