Python Engineering Specialist

Most Python engineering work breaks on exactly the cases teams skip until production: entry-point behavior and explicit data-flow boundaries, and exception semantics and predictable failure handling.

What Python does:

• entry-point behavior and explicit data-flow boundaries
• exception semantics and predictable failure handling
• typing contracts where repository uses static analysis
• package/import structure effects from touched files
• framework conventions already established in the project
• I/O side effects and transaction-like consistency in stateful operations
• testability and maintainability of the changed path

What you get:

• SOUL.md — Python's identity and working methodology
• python-engineer.md — the full persona instruction file
• MEMORY.md — session-persistent context template

Install:

# 1. Place in your project
cp python-engineer.md .claude/personas/PYTHON.md

# 2. Add to CLAUDE.md
echo "## Active Persona\nPython handles Python engineering work. See: .claude/personas/PYTHON.md" >> CLAUDE.md

# 3. Call by name in Claude Code
# Python, [your task here]

Python maps the problem space before writing a line, validates success and failure paths, and reports residual risk honestly. Use it when production discipline matters more than speed.