What problem does it solve?
This Skill turns an already-enriched GitHub issue into a clear decision on whether the work is correctly sized for a single coding pass, should be marked completed, or needs to be split into smaller child issues.
Core Features & Use Cases
- Completion & progress detection: Determines whether the issue is completed, partially done, or fresh by inspecting the enriched spec and review-gaps markers.
- Remaining-work slicing: For partially completed issues, focuses evaluation only on the unticked acceptance criteria and the files they implicate, avoiding re-evaluating already-done work.
- Evidence-backed sizing & model tier recommendation: Produces a file/spread-driven assessment and recommends a model tier for KEEP decisions, or proposes split strategies when oversized/complex.
Quick Start
Evaluate an already-enriched issue by asking the AI to run evaluate-issue on issue number N, after confirming the issue body already includes the enriched-spec marker block.