econometrics plugins

9 tagged econometrics, measured the same way as everything else here.

statsclaw

01

statsclaw/statsclaw

Plugin Claude Code

Plugin marketplace listing 1 plugin: statsclaw.

91 1mo ago A tokens not measured original MIT

statsclaw

02

statsclaw/statsclaw

Plugin Claude Code

Multi-agent workflow framework for building, testing, and shipping statistical software packages.

91 1mo ago A tokens not measured original MIT

mcp-stata

03

tmonk/mcp-stata

Plugin Claude Code

Local marketplace for the mcp-stata plugin.

81 3mo ago A tokens not measured AGPL-3.0

mcp-stata

04

tmonk/mcp-stata

Plugin Claude Code

mcp-stata - an agentic toolkit for empirical researchers. Gives AI agents native control over a local Stata installation, allowing agents to run do-files, inspect data, check stored results, and export graphs.

81 3mo ago A tokens not measured AGPL-3.0

stata-code

06

brycewang-stanford/stata-code

Plugin Claude Code

Agent-native Stata bridge for Claude Code. Drive DiD/IV/RDD and publication-ready esttab tables in plain language, then cross-validate each estimate against StatsPAI. Bundles an MCP server (21 tools, 14 workflow prompts, token-economy result schema, typed errors, multi-session) and an agent skill with an on-demand…

41 22d ago A tokens not measured original MIT

econ-review

07

hanlulong/econ-paper-review-skill

Plugin Claude Code

Produce a rigorous, source-grounded referee report and prioritized revision plan for an economics paper. After a direct plugin install, ask the agent to run econ-review-setup once.

14 1mo ago A tokens not measured

causal-powers

08

lancegui/causal-powers

Plugin Claude Code

Causal Powers — a skills library for data analytics, causal inference, and reduced-form and structural econometrics.

2 8d ago A tokens not measured original MIT

causal-powers

09

lancegui/causal-powers

Plugin Claude Code

Superpowers for data analytics, causal inference, and econometrics: discipline skills that make the silent failures of data work loud — data contracts, data preparation, join-cardinality checks, wrong-number debugging, result verification, pre-analysis plans, descriptive evidence (stylized facts, trends, summary-stats.

2 8d ago A tokens not measured original MIT