This skill enables robust survival analysis in Python using scikit-survival, handling censored data, fitting Cox models, ensembles, and time-to-event
npx playbooks add skill kjgarza/marketplace-claude --skill scikit-survival
This skill enables robust survival analysis in Python using scikit-survival, handling censored data, fitting Cox models, ensembles, and time-to-event
At 19 words, this compact prompt gives your agent specialized automation & integrations expertise with structured patterns and output formats. Install via CLI or copy the prompt below.
This skill enables robust survival analysis in Python using scikit-survival, handling censored data, fitting Cox models, ensembles, and time-to-event
Scikit Survival is a free automation & integrations skill for AI coding agents. This skill enables robust survival analysis in Python using scikit-survival, handling censored data, fitting Cox models, ensembles, and time-to-event. It provides a specialized system prompt that configures your agent with automation & integrations expertise.
Run npx playbooks add skill kjgarza/marketplace-claude --skill scikit-survival in your terminal to install Scikit Survival into your Claude Code session. It works immediately after installation.
Scikit Survival is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Scikit Survival is completely free and open source. The full source is available on GitHub at https://github.com/kjgarza/marketplace-claude/tree/main/plugins/scholarly-comms-researcher/skills/scikit-survival. You only need a subscription to the AI agent you use it with.
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