Agens scikit_survival

skill_id: scikit_survival name: scikit-survival description: Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library. version: 1.0.0 author: K-Dense Inc. license: GPL-3.0 license tags:

• scientific-agent-skills
• scikit-survival tools: [] permissions: network: false filesystem: false shell: false agents:
• executor_agent enabled: true source: scientific-agent-skills entrypoint: entry.py readme: README.md input_schema: {} output_schema: type: object metadata: upstream_repo: K-Dense-AI/scientific-agent-skills upstream_skill: scikit-survival upstream_path: scientific-skills/scikit-survival/SKILL.md upstream_frontmatter: name: scikit-survival description: Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library. license: GPL-3.0 license metadata: skill-author: K-Dense Inc.