fix-review

To automatically fix code from GitHub PR review comments, this skill reads review feedback, plans minimal viable fixes, applies edits, and runs tests and linters. It then generates a structured fix-result.json detailing actions taken and decisions made.

Automating pull request code review feedback resolution involves orchestrating diff reading, planning context-aware fixes, and validating changes. This skill enforces workflow conventions and scans for secrets before pushing code, producing a structured output for traceability.

Yes, you can run tests and linters automatically after applying PR review fixes. The skill executes pre-commit checks and tests to verify changes before pushing, ensuring the minimal fixes address reviewer intent without breaking unrelated code.

Yes, automated PR fixing scans for secrets before pushing code changes. The skill enforces workflow conventions and performs secret scanning as part of its process, ensuring sensitive data is not introduced when applying edits from review feedback.

A key limitation when automating fixes from PR review feedback is that the skill plans minimal viable fixes to address reviewer intent without changing unrelated code. It focuses on context-aware edits and produces a fix-result.json, rather than large-scale refactoring.

To trace the actions taken by automated PR review fixers, this skill generates a structured fix-output file named fix-result.json. This file details the specific actions taken, decisions made, and outcomes achieved during the fix workflow.