nixtla-baseline-review
Analyze Nixtla baseline forecasting results (sMAPE/MASE on M4 or other benchmark datasets). Use when the user asks about baseline performance, model comparisons, or metric interpretation for Nixtla time-series experiments.
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install jeremylongshore/claude-code-plugins-nixtla/nixtla-baseline-review skilz install jeremylongshore/claude-code-plugins-nixtla/nixtla-baseline-review --agent opencode skilz install jeremylongshore/claude-code-plugins-nixtla/nixtla-baseline-review --agent codex skilz install jeremylongshore/claude-code-plugins-nixtla/nixtla-baseline-review --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/jeremylongshore/claude-code-plugins-nixtla cp -r claude-code-plugins-nixtla/plugins/nixtla-baseline-lab/skills/nixtla-baseline-review ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- jeremylongshore (GitHub)
- Repository
- claude-code-plugins-nixtla
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- machine learning
- Market Score
- 17.1
Browse Category
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