MCPInstall

python-panel-data

by meleantonioData & Databases

Panel data analysis with Python using linearmodels and pandas.

Installs
155
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/meleantonio/awesome-econ-ai-stuff --skill python-panel-data
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads python-panel-data automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Python Panel Data

Purpose

This skill helps economists run panel data models in Python using pandas, statsmodels, and linearmodels, with correct fixed effects, clustering, and diagnostics.

When to Use

  • Estimating fixed effects or random effects models
  • Running difference-in-differences on panel data
  • Creating regression tables and plots in Python

Instructions

Follow these steps to complete the task:

Step 1: Understand the Context

Before generating any code, ask the user:

  • What is the unit of observation and panel identifiers?
  • Which outcomes and regressors are required?
  • What fixed effects or time effects are needed?
  • How should standard errors be clustered?

Step 2: Generate the Output

Based on the context, generate Python code that:

  1. Loads and cleans the data with pandas
  2. Sets a MultiIndex for panel structure
  3. Fits the model using linearmodels.PanelOLS or RandomEffects
  4. Outputs results in a readable table and optional LaTeX

Step 3: Verify and Explain

After generating output:

  • Interpret key coefficients
  • Note assumptions (strict exogeneity, parallel trends, etc.)
  • Suggest robustness checks (alternative clustering, placebo tests)

Example Prompts

  • "Run a two-way fixed effects model with firm and year effects"
  • "Estimate a DiD using state and year fixed effects"
  • "Export panel regression results to LaTeX"

Example Output

# ============================================
# Panel Data Analysis in Python
# ============================================
import pandas as pd
from linearmodels.panel import PanelOLS

# Load data
df = pd.read_csv("panel_data.csv")

# Set panel index
df = df.set_index(["firm_id", "year"])

# Create treatment indicator
df["treat_post"] = df["treated"] * df["post"]

# Two-way fixed effects model
model = PanelOLS.from_formula(
    "outcome ~ 1 + treat_post + EntityEffects + TimeEffects",
    data=df
)
results = model.fit(cov_type="clustered", cluster_entity=True)

print(results.summary)

Requirements

Software

  • Python 3.10+

Packages

  • pandas
  • linearmodels
  • statsmodels

Install with:

pip install pandas linearmodels statsmodels

Best Practices

  1. Always verify panel identifiers and balanced vs unbalanced panels
  2. Cluster standard errors at the appropriate level
  3. Check for missing data before estimation

Common Pitfalls

  • Failing to set a proper panel index
  • Using pooled OLS when fixed effects are required
  • Misinterpreting coefficients without accounting for fixed effects

References

Changelog

v1.0.0

  • Initial release

FAQ

What does the python-panel-data skill do?

Panel data analysis with Python using linearmodels and pandas.

How do I install python-panel-data?

Run npx skills add https://github.com/meleantonio/awesome-econ-ai-stuff --skill python-panel-data in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/python-panel-data/ (personal) or .claude/skills/python-panel-data/ (project).

Which AI agents can use python-panel-data?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is python-panel-data safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains python-panel-data?

It is published by meleantonio in meleantonio/awesome-econ-ai-stuff. It has 155 recorded installs.

More from meleantonio/awesome-econ-ai-stuff

View all →

academic-paper-writer

meleantonio/awesome-econ-ai-stuff

Draft economics papers with proper structure and academic style

Education & Science519 installs

stata-regression

meleantonio/awesome-econ-ai-stuff

Run regression analyses in Stata with publication-ready output tables.

Testing & QA420 installs

stata-data-cleaning

meleantonio/awesome-econ-ai-stuff

Clean and transform messy data in Stata with reproducible workflows

351 installs

r-econometrics

meleantonio/awesome-econ-ai-stuff

Run IV, DiD, and RDD analyses in R with proper diagnostics

332 installs

beamer-presentation

meleantonio/awesome-econ-ai-stuff

Create academic presentations in Beamer with professional themes

Docs & Writing278 installs

lit-review-assistant

meleantonio/awesome-econ-ai-stuff

Search, summarize, and synthesize economics literature

Code Quality & Workflow236 installs

Popular data & databases skills

View category →

supabase-postgres-best-practices

supabase/agent-skills

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pgcron, pgmq), vector/semantic search (pgvector), and restoring dumps (pgrestore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.

OfficialData & Databases462.2K installs

prisma-client-api

prisma/skills

Prisma Client API reference covering model queries, filters, operators, and client methods. Use when writing database queries, using CRUD operations, filtering data, or configuring Prisma Client. Triggers on "prisma query", "findMany", "create", "update", "delete", "$transaction".

OfficialData & Databases393.5K installs

prisma-database-setup

prisma/skills

Deprecated compatibility name for prisma-orm-setup. Use only when a user or existing integration explicitly invokes prisma-database-setup; otherwise select prisma-orm-setup.

OfficialData & Databases392.3K installs

prisma-cli

prisma/skills

Prisma ORM 7 CLI reference for existing Prisma 7 applications or explicitly selected Prisma 7 workflows. Covers prisma init, generate, migrate, db, dev, studio, and mcp. For setup, connection repair, or Prisma 8, use prisma-orm-setup; not the Prisma Platform CLI.

OfficialData & Databases390.8K installs

prisma-postgres

prisma/skills

Deprecated compatibility name for prisma-postgres-setup. Use only when a user or existing integration explicitly invokes prisma-postgres; otherwise select prisma-postgres-setup.

OfficialData & Databases384.4K installs

prisma-driver-adapter-implementation

prisma/skills

Required reference for Prisma ORM 7 SQL driver adapter work. Use when implementing or modifying adapters, adding database drivers, or touching SqlDriverAdapter, Transaction, savepoint, result mapping, or DriverAdapterError behavior. Covers current transaction lifecycle, optional savepoint hooks, original database-error preservation, and verification.

OfficialData & Databases378.9K installs