Reference · Academic Integrity

🔗 Resources & Credits

This course was built with and inspired by the work of many researchers, developers, and educators. Full attribution is provided below in the spirit of academic integrity and open knowledge.

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About this page Academic research depends on proper attribution. This page lists every source that informed the design, content, and examples in this course. If you build on this work, please maintain these attributions and add your own.
Resources are stored in data/resources.js and rendered dynamically — add a new entry there to have it appear automatically in the "Recently Added" section below.

🆕 Recently Added

The five most recently added resources, sorted by date. New entries in data/resources.js automatically appear here.

Official Documentation & Primary Sources

Primary Source

Anthropic — Claude Code Official Documentation

The authoritative source for all Claude Code features, including hooks, MCP, slash commands, settings, and the agent SDK.

docs.anthropic.com ↗

Used in: All modules

Primary Source

Anthropic — Claude API Reference

Official API documentation including model IDs, pricing, rate limits, and the Messages API specification.

docs.anthropic.com/en/api ↗

Used in: Module 12

Researcher Blogs & Workflow Guides

Blog / Researcher

Chris Blattman — claudeblattman.com

Development economist at University of Chicago. Documents his Claude Code workflows for research writing, iteration, and literature review. Key inspiration for writing and revision examples in Module 5.

claudeblattman.com ↗

Used in: Module 0, Module 5

Blog / Researcher

Pedro Sant'Anna — "Claude Code: My Workflow"

Econometrician at Vanderbilt/Microsoft Research. Provides a detailed walkthrough of his Claude Code setup including CLAUDE.md structure, custom skills, and full analysis pipeline workflows. Heavily influenced Modules 3 and 4.

psantanna.com ↗

Used in: Module 3, Module 4, Module 6

Blog / Developer

Boris Tane — "How I Use Claude Code"

Software developer documenting practical Claude Code workflows for building applications, managing codebases, and integrating with development tools.

boristane.com ↗

Used in: Module 2, Module 9, Module 10

Blog / Developer

Simon Willison — simonwillison.net

Independent developer and AI researcher known for deep, technical analysis of AI tools. Key source for understanding LLM capabilities, limitations, and practical deployment patterns.

simonwillison.net ↗

Used in: Module 0, Module 13

Newsletters & Substacks

Newsletter / Substack

GenAI for Economists — genaiforecon.substack.com

Newsletter focused on practical applications of generative AI in economics research. Provided framing for how economists are integrating AI into their research workflows.

genaiforecon.substack.com ↗

Used in: Module 0, Module 4

Newsletter / Substack

Get Calibrated — "The Economist in the Machine"

Essay on what AI tools mean for economists' role in research — exploring the distinction between what AI can and cannot do in applied economics research.

getcalibrated.substack.com ↗

Used in: Module 0, Module 13

Newsletter / Substack

Modelling an Unforeseeable Future — "AI as Research Collaborator"

Thoughtful essay on using AI as a genuine research collaborator rather than just a tool — the framing that shapes this course's approach throughout.

modelinganunforeseeablefuture.substack.com ↗

Used in: Module 0, Module 4

Newsletter / Substack

Ted Svo — "Agentic Everything"

Analysis of the shift to agentic AI workflows — how AI goes from answering questions to taking sequences of actions. Key inspiration for Module 12 on agents.

tedsvo.substack.com ↗

Used in: Module 12

Newsletter / Substack

ReSkilled — reskilled.substack.com

Newsletter focused on AI tools for researchers and knowledge workers, with practical coverage of Claude Code and other AI coding tools.

reskilled.substack.com ↗

Used in: Module 1, Module 2

Open-Source Projects & GitHub Repositories

GitHub Repository

Scott Cunningham — MixtapeTools

Collection of Claude Code skills for causal inference methods (DiD, RDD, IV). Authored by Scott Cunningham, author of "Causal Inference: The Mixtape". Key inspiration for custom skills and research-specific workflows in Module 6.

github.com/scunning1975/MixtapeTools ↗

Used in: Module 6

GitHub Repository

meleantonio — ChernyCode

Example repository demonstrating Claude Code workflows and configurations for economics research. Provided examples of CLAUDE.md patterns and project structures.

github.com/meleantonio/ChernyCode ↗

Used in: Module 3, Module 9

GitHub Repository

Hugo Sant'Anna — Obsidian Vault Manager

Tool for managing Obsidian note-taking vaults using Claude Code. Demonstrates real-world application of building custom tools with Claude Code for personal knowledge management.

github.com/hugosantanna/obsidian-vault-manager ↗

Used in: Module 10

GitHub Repository

Alalalalaki — Guide2EconRA

Comprehensive guide to software tools and workflows for economics research assistants. Informed the section on standard tools and conventions in applied economics research.

github.com/Alalalalaki/Guide2EconRA ↗

Used in: Module 9, Module 11

GitHub Repository

ChrisWiles — claude-code-showcase

Showcase of Claude Code capabilities and example workflows. Provided examples and demos that informed the practical exercises throughout the course.

github.com/ChrisWiles/claude-code-showcase ↗

Used in: Multiple modules

GitHub Repository

Claes Bäckman — AI Research Feedback Skills

Five Claude Code skills for pre-submission paper review: review-paper (full referee report via 6 parallel agents), review-paper-light, review-paper-code (reproducibility), review-pap, and review-grant. Each auto-detects files and outputs structured reports.

github.com/claesbackman/AI-research-feedback ↗

Used in: Module 6

GitHub Repository

dariia-m — My Claude Skills

Personal collection of research-oriented Claude Code skills: abstract drafting, academic writing, event-studies, paper verification, and more. Good example of a researcher's custom skill library.

github.com/dariia-m/my_claude_skills ↗

Used in: Module 6

GitHub Repository

batikas — Results DB Skill

Claude skill that functions as a structured results ledger. Logs regression estimates with metadata, supports LaTeX/CSV export, and runs integrity checks before paper submission. Ideal for multi-spec empirical projects.

github.com/batikas/results-db-skill ↗

Used in: Module 6

GitHub Repository

Claes Bäckman — AI Workshop Slides

Slide deck for "Practical AI for academics" — covers AI tools and workflows for academic researchers. Useful for teaching or workshop contexts alongside this course.

github.com/claesbackman/AI_Workshop_Slides ↗

Used in: Resources

Open-Source Agent

companion-inc — Feynman

Open-source AI research agent (7k+ stars) with four built-in sub-agents: Researcher, Reviewer, Writer, Verifier. Supports literature review, multi-agent investigation, experiment replication, and peer review simulation. Integrates with Claude.

github.com/companion-inc/feynman ↗

Used in: Module 12

GitHub Repository

Ingar30 — Reviewer

Reproducible multi-agent reviewer for academic economics papers. Parses PDFs, runs parallel specialized reviewers (numerical accuracy, methodology, claim–evidence alignment), and synthesises structured reports.

github.com/Ingar30/reviewer ↗

Used in: Resources

GitHub Repository

alejandroll10 — Idea Evaluation Pipeline

Prompt-based 8-step pipeline for evaluating PhD-level research ideas in finance and economics. No code required — works with any AI. Rates ideas 1–10 and iterates toward top-3 journal quality.

github.com/alejandroll10/idea-evaluation-pipeline ↗

Used in: Module 4

Courses & Lecture Series

Lecture Series

Paul Goldsmith-Pinkham — Mini-Series on Claude Code (Princeton BCF)

Video lecture mini-series by Yale economist Paul Goldsmith-Pinkham on Claude Code for applied economists, hosted by the Princeton Bendheim Center for Finance.

bcf.princeton.edu ↗

Listed: Resources

Course

DeepLearning.AI — Build Interactive Agents with Generative UI

Free short course on building agentic applications with generative UI. Excellent complement to Module 12 for learners who want to build their own agent-powered research tools.

deeplearning.ai ↗

Used in: Module 12

Curated Lists & Websites

Website / Curated List

meleantonio — Awesome Econ AI Stuff

Comprehensive curated list of AI tools and resources for economists. Used as a reference for the broader ecosystem of tools that complement Claude Code in research workflows.

meleantonio.github.io/awesome-econ-ai-stuff ↗

Used in: Resources, Module 13

Website / Policy

AEI — AI Tools for Economists and Policy Analysts

American Enterprise Institute overview of AI tools relevant to economists and policy analysts. Provided policy context and broader framing for AI in economics research.

aei.org ↗

Used in: Module 0, Module 13

Website / Tool

Gexijin — Vibe (gexijin.github.io/vibe)

AI-assisted data analysis and visualisation tool. Context for how researchers use AI tools for data exploration and the broader landscape of AI-assisted research tools.

gexijin.github.io/vibe ↗

Used in: Module 10

Website / Tool

Hugo Sant'Anna — CLO Author

Demonstrates AI-assisted academic writing workflows. Provided examples of how AI can support the writing process for academic papers.

hsantanna.org/clo-author ↗

Used in: Module 5

Website / Lab

APE Lab — ape.socialcatalystlab.org

Applied Policy and Economics Lab demonstrating AI integration in development research and policy analysis workflows.

ape.socialcatalystlab.org ↗

Used in: Module 4, Module 13

Wiki / Community

Mihail Velikov — AI Econ Wiki

Community-maintained wiki of AI tools, workflows, and resources for economists. A living reference that is regularly updated as new tools emerge.

velikov-mihail.github.io/ai-econ-wiki ↗

Listed: Resources

Reference Guide

Paul Goldsmith-Pinkham — Style Guide

Academic writing and AI style guide by Yale economist Paul Goldsmith-Pinkham. A concise reference for maintaining quality and clarity when working with AI on economic research.

paulgp.com/style_guide.md ↗

Used in: Module 5

Website / Tool

OBIN Lab — Citation Hallucination Checker

Tool and guide for verifying that AI-generated citations are real and accurate. Critical companion for the academic integrity section of Module 5 — never submit AI-generated citations without independent verification.

OBIN Lab ↗

Used in: Module 5

How to Cite This Course

If you use this course in teaching, research, or other materials, please cite it as follows:

Aremu, T. (2026). Claude Code: From Zero to Mastery — A Course for Researchers and Social Scientists. GitHub. https://github.com/toyibaremu/claude-learn

BibTeX:

@misc{aremu2026claudelearn, author = {Aremu, Toyib}, title = {Claude Code: From Zero to Mastery}, year = {2026}, publisher = {GitHub}, howpublished = {\url{https://github.com/toyibaremu/claude-learn}}, note = {Open-source course for researchers and social scientists} }

License

This course is released under the MIT License. You are free to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of this material, provided the original attribution is maintained.

The course was built with assistance from Claude Code (Anthropic, claude-sonnet-4-6). All content has been reviewed and edited by the course author.

Contributing

This course is open to contributions from the community. If you have:

A CLAUDE.md template for a specific field (e.g., public health, political science)
Custom skills for research workflows you'd like to share
Corrections or updates to any module
Translations into other languages
Additional resources that should be credited

Please open an issue or submit a pull request on GitHub.