$ show meleantonio/awesome-econ-ai-stuff
This repository hosts a Jekyll-based GitHub Pages website that curates and distributes AI skills (SKILL.md files) for economists. The site presents a browsable catalog of 17 skills organized by research workflow stage (ideation, literature, theory, data, analysis, writing, communication, engineering). It offers user path personalization (beginner/intermediate/advanced) persisted via localStorage, a download-all-skills feature that bundles skills into a zip using JSZip, individual skill downloads, a submission form that opens a GitHub Issue, and an educational 'Learn' page explaining AI agent concepts. The repository is primarily a content distribution platform; the actual software consists of the Jekyll site structure, CSS design system, and JavaScript interactivity. The skills themselves are high-quality markdown documents with YAML frontmatter, containing detailed instructions for AI coding assistants like Claude Code, Cursor, and Gemini CLI.
The LLM identified 3 files worth highlighting for reuse:
Self-contained module that fetches SKILL.md files from the repository (with fallback to GitHub raw URLs) and bundles them into a zip archive using JSZip. Preserves directory structure, supports SDD skill bundle with additional files, and is reusable in any site needing to download multiple files from a repo.
Standalone Julia script that implements a pure exchange Walrasian equilibrium solver with Cobb-Douglas preferences, including utility functions, Marshallian demand, excess demand, equilibrium solving via NLsolve, Pareto efficiency checks, and Edgeworth box visualization. Well-documented with mathematical formulas and could be extracted as a library for GE teaching or research.
A set of markdown templates (requirements.md, design.md, tasks.md, coding-standards.md) implementing the Spec-Driven Development methodology. These templates provide structured formats for EARS requirements, technical design, task breakdown with traceability, and coding standards. Reusable in any software project that wants to adopt SDD practices.