This skill helps economists run panel data models in Python using pandas and linearmodels with correct fixed effects, clustering, and diagnostics.
npx playbooks add skill meleantonio/awesome-econ-ai-stuff --skill python-panel-data
This skill helps economists run panel data models in Python using pandas and linearmodels with correct fixed effects, clustering, and diagnostics, enabling them to analyze complex data sets. It connects to the Python ecosystem, allowing developers to leverage the capabilities of pandas and linearmodels. A developer would reach for this skill when working with panel data and needing to implement robust modeling techniques, such as fixed effects and clustering, to ensure accurate results.
At 21 words, this compact prompt gives your agent specialized developer workflow expertise with structured patterns and output formats. Install via CLI or copy the prompt below.
This skill helps economists run panel data models in Python using pandas and linearmodels with correct fixed effects, clustering, and diagnostics.
Python Panel Data is a free developer workflow skill for AI coding agents. This skill helps economists run panel data models in Python using pandas and linearmodels with correct fixed effects, clustering, and diagnostics.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
Run npx playbooks add skill meleantonio/awesome-econ-ai-stuff --skill python-panel-data in your terminal to install Python Panel Data into your Claude Code session. It works immediately after installation.
Python Panel Data is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Python Panel Data is completely free and open source. The full source is available on GitHub at https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/analysis/python-panel-data. You only need a subscription to the AI agent you use it with.
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