OpenAgentSkill Registry Manifest
Skill: EconML
Slug: py-why-econml
Category: ml-automation
Description: ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its  goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Agent fit:
- Decision: 100/100 Production-ready
- Primary fit: RAG and knowledge
- Role: Primary pick

Supply profile:
- Track: Research and knowledge work
- Scenario: RAG and knowledge
- Applicable agents: Claude Code, CLI, Codex, Cursor, Jupyter Notebook
- Maintenance: 2d since push
- Risk: Safe to try

Trust:
- Trust score: 91/100 Production candidate
- Audit: 93/100 Safe to try

Attribution:
- Status: Community indexed
- Source: GitHub star discovery
- Creator: py-why
- Claim URL: https://www.openagentskill.com/skills/py-why-econml#claim-this-skill

Install:
npx skills add py-why/EconML

URLs:
- Web: https://www.openagentskill.com/skills/py-why-econml
- API: https://www.openagentskill.com/api/agent/skills/py-why-econml
- Install API: https://www.openagentskill.com/api/skills/py-why-econml/install
- Repository: https://github.com/py-why/EconML