label-driven-prompt-generation-architecture

name	label-driven-prompt-generation-architecture
description	Pattern for building automation scripts that classify GitHub issues into prompt templates using label-based routing and extract contextual data for batch processing
version	1.0.0
source	auto-extracted
extracted	"2026-04-10T00:00:00.000Z"
metadata	{"tags":["automation","github-api","python-cli","prompt-engineering","architecture"]}

Label-Driven Prompt Generation Architecture

When building issue-to-prompt automation, use Python + gh CLI for structured classification: parse issue labels (e.g., cat:bugfix) to map to prompt templates, extract plan files or metadata from issue bodies using path tables, and implement both single-issue and batch-query modes. Store scripts in scripts/automation/, mark transient output directories in .gitignore, and verify classification against real issues before batch deployment. Test label matching, plan extraction, and batch filtering in sequence to catch routing logic errors early.