⚙️ Scikit Survival
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
About Scikit Survival
The Scikit Survival skill enables robust survival analysis in Python using scikit-survival, handling censored data, fitting Cox models, ensembles, and time-to-event, and is used by developers when they need to perform complex survival analysis tasks. This skill connects to Python and utilizes the scikit-survival library to provide advanced statistical modeling capabilities. Developers would reach for this skill when working with time-to-event data and needing to fit models such as Cox models or ensembles.
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.
Use Cases
- Building MCP servers and workflow integrations
- Automating repetitive dev tasks with scripts
- Setting up webhook handlers and event pipelines
- Connecting external APIs to AI agent workflows
Example Prompts
System Prompt (19 words)
This skill enables robust survival analysis in Python using scikit-survival, handling censored data, fitting Cox models, ensembles, and time-to-event
Frequently Asked Questions
What is Scikit Survival?
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.
How do I use Scikit Survival with Claude Code?
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.
Which AI coding agents work with Scikit Survival?
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.
Is Scikit Survival free to use?
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.
