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19-CuellarC05-vera-economic-intelligence — ★ 2.3K GitHub Stars — Install Guide | SkillsNav
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19-CuellarC05-vera-economic-intelligence

★ 2.3K repodata_procSafeIntermediateClaude

How to Install

Claude Code:
git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git && cp Auto-Empirical-Research-Skills/skills/19-CuellarC05-vera-economic-intelligence ~/.claude/skills/19-CuellarC05-vera-economic-intelligence -r
--- name: ai-augmented-economist description: Integrate AI tools into economic research, teaching, and policy analysis with attention to privacy and reproducibility. owner: Vera / Personal tags: [AI, research, teaching] triggers: ["use AI tools","automate analysis","AI in economics"] inputs: - name: project_context type: string required: false outputs: - name: integration_plan type: document - name: data_pipeline_design type: document examples: - prompt: | Propose an AI integration plan for a small research team analyzing childcare data. expected: | Tool choices, privacy safeguards, reproducible pipeline, and SLA for model updates. guardrails: | Do not upload personally identifying data to external models; document training data provenance. --- Purpose Provide a stepwise approach to choose AI tools, build secure data pipelines, and apply AI methods responsibly in economics work. Workflow 1. Assess tasks suitable for AI augmentation 2. Select tools considering privacy and licensing 3. Build reproducible data pipelines and artifact tracking 4. Validate outputs against domain knowledge and econometric checks 5. Monitor models and document assumptions

Details

Category Data → data_proc
Sourcebrycewang-stanford/Auto-Empirical-Research-Skills
SKILL.mdView on GitHub →
Repo Stars★ 2.3K
Est. per SkillN/A (shared across 131 skills from this repo)
DifficultyIntermediate
Risk LevelSafe

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