openai / gh-address-comments
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Run this command in your project directory to install the skill for your entire team:
mkdir -p .claude/skills/gh-address-comments && curl -L -o skill.zip "https://fastmcp.me/Skills/Download/599" && unzip -o skill.zip -d .claude/skills/gh-address-comments && rm skill.zipProject Skills
This skill will be saved in .claude/skills/gh-address-comments/ and checked into git. All team members will have access to it automatically.
Important: Please verify the skill by reviewing its instructions before using it.
Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.
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Skill Content
--- name: gh-address-comments description: Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in. metadata: short-description: Address comments in a GitHub PR review --- # PR Comment Handler Guide to find the open PR for the current branch and address its comments with gh CLI. Run all `gh` commands with elevated network access. Prereq: ensure `gh` is authenticated (for example, run `gh auth login` once), then run `gh auth status` with escalated permissions (include workflow/repo scopes) so `gh` commands succeed. If sandboxing blocks `gh auth status`, rerun it with `sandbox_permissions=require_escalated`. ## 1) Inspect comments needing attention - Run scripts/fetch_comments.py which will print out all the comments and review threads on the PR ## 2) Ask the user for clarification - Number all the review threads and comments and provide a short summary of what would be required to apply a fix for it - Ask the user which numbered comments should be addressed ## 3) If user chooses comments - Apply fixes for the selected comments Notes: - If gh hits auth/rate issues mid-run, prompt the user to re-authenticate with `gh auth login`, then retry.