Project Showcase Enhancer for Code-Based Interview Preparation

Setup for WorkBuddy

The upstream example installs the full package in WorkBuddy. Mode A uses Node.js, Python and read access to a local project. The example uses a locally authored file and needs no media transcription or résumé parsing.

1. Copy the complete repository at the referenced commit into `.workbuddy/skills/project-showcase-enhancer/`. Keep the root SKILL.md, scripts and assets together.
2. Check that Node.js and Python are available. Reopen WorkBuddy, provide the test project's directory and request Mode A, deep code analysis.
3. Confirm that `scripts/scan_project.js` and `scripts/deep_analyze.py` are present. Both are used for the local code analysis mode.

Example task

Create `demo-notes/app.py` with this sample code.

def format_label(text):
    return text.strip().lower()

if __name__ == "__main__":
    print(format_label(" Follow up "))

Give WorkBuddy that directory and ask Project Showcase Enhancer to use Mode A, identify the entry point and explain the call sequence with file and function references.

Expected result

The project analysis identifies app.py, the main guard and format_label. It describes the whitespace trimming and lowercase conversion. Its architecture claims remain proportionate to a single local file.

Upstream documentation

Original SKILL.md on GitHub · Updated 2026-11-14