enrich-issues

To automatically add structured requirements to GitHub issues, use a tool that scans issues labeled 'recipe:implementation', performs codebase analysis, and appends a formatted Requirements section. This process backfills missing acceptance criteria directly to your backlog.

Codebase-grounded analysis for generating issue requirements is a method that evaluates existing issue content against your project's source code. It produces structured, REQ-{GRP}-NNN formatted acceptance criteria directly relevant to your implementation scope.

To batch enrich GitHub issues without creating duplicates, the enrichment process uses idempotent operations that scan for an existing Requirements section and skip already-processed issues. This ensures only unenriched issues receive the new structured format.

Yes, you need the gh CLI to automate appending requirements to GitHub issues. The tool depends on the gh command-line interface for repository authentication, issue scanning, and applying edits via the gh issue edit command.

The best way to format backlogged issue requirements for development readiness is using a structured REQ-{GRP}-NNN format. This standardized structure clarifies project scope and acceptance criteria by grouping requirements logically within the issue body.

Your GitHub issue enrichment process skips certain tasks because it operates idempotently, detecting issues that already contain a generated Requirements section. This prevents duplicate work and ensures only newly tagged 'recipe:implementation' issues are processed.