What problem does it solve? Turning a raw GitHub issue into an actionable, testable specification requires manual triage, reproduction, root-cause analysis, and spec writing. This Skill automates that intake pipeline so bug reports and feature requests become structured specs ready for planning and execution. ## Core Features & Use Cases - Structured Issue Intake: Fetches issue content via the GitHub CLI, normalizes it into an Intake Note (observed behavior, expected behavior, reproduction steps, environment), and flags gaps with [NEEDS REPRO] or [NEEDS CLARIFICATION] markers. - Root-Cause Localization: Builds 2-5 falsifiable hypotheses with confidence scores, validates the top candidates against the codebase, and prunes to a single root cause with supporting evidence. - Spec Generation & Workflow Transition: Writes a WHAT/WHY-focused spec.md with FR/SC numbering and Given/When/Then scenarios, then optionally transitions into plan or full trace-driven fix workflows. - Use Case: A maintainer runs the issue-ingest mode on a reported crash; the Skill reproduces the bug, localizes it to a specific function with 80% confidence, and produces a spec describing the correct behavior ready for the planning phase. ## Quick Start Invoke the issue-ingest mode with a GitHub issue URL to fetch the issue, reproduce the problem, localize the root cause, and generate a resolution spec.
