vamseeachanta 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.