Pattern for building automation scripts that classify GitHub issues into prompt templates using label-based routing and extract contextual data for batch processing
Scanned 9/9/2026
Install to Claude Code
npx -y skills add vamseeachanta/workspace-hub --skill label-driven-prompt-generation-architecture --agent claude-codeInstalls into .claude/skills of the current project.
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---
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: 2026-04-10
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.Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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