plugins/claude-coding/skills/get-pr-comments/SKILL.md
This skill should be used when the user says "get PR comments", "show PR feedback", "what comments on my PR", "PR review comments", "show me the review", "what did reviewers say", or asks about feedback on a pull request. Not for creating PRs or responding to comments.
npx skillsauth add gupsammy/claudest get-pr-commentsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Fetch, organize, and present all comments on a GitHub pull request — issue-level comments, review bodies, and inline review comments — grouped by human vs bot, with actionable items (must-fix, optional) extracted from structured reviews and inline comments.
!git rev-parse --abbrev-ref HEAD!gh repo view --json nameWithOwner --jq .nameWithOwner 2>/dev/null || echo "unknown"!gh pr view --json number,title --jq '"\(.number) — \(.title)"' 2>/dev/null || echo "none"Parse $ARGUMENTS for a PR number or URL. If present, use it directly.
If no arguments provided, check the pre-flight "Current branch PR" value. If it contains a PR number (not "none"), use the detected PR.
If no PR detected, list open PRs:
gh pr list --state open --limit 10 --json number,title,headRefName --jq '.[] | "\(.number)\t\(.title)\t(\(.headRefName))"'
If the list is empty, report "No open PRs found for this repository" and stop. If only one open PR exists, use it directly. Otherwise present options via AskUserQuestion.
Run the fetch script with the resolved PR number (default text output is
pre-formatted and token-efficient; use --output json only for programmatic
consumers):
python3 ${CLAUDE_PLUGIN_ROOT}/skills/get-pr-comments/scripts/fetch_pr_comments.py <PR_NUMBER>
Exit 0 = proceed. Exit 2 = gh auth or network error — report to user.
The script output is already formatted for presentation. If the output starts with "0 human, 0 bot", report "No comments on this PR yet" and skip to Step 4.
Otherwise, relay the script output directly. The output is structured as: actionable items (must-fix, optional) first, then human comments, then bot comments (truncated). Do not reformat or reparse — present as-is.
If must-fix items are listed, check whether a subsequent review already
resolved them by querying both issue comments and formal PR reviews. Pipe
to external jq — gh api rejects --slurp combined with --jq in
current versions, and --paginate --slurp yields an array-of-pages that
must be flattened with [.[][]]:
# Latest issue-level comment (paginated — PRs may exceed 30 comments):
gh api repos/{owner}/{repo}/issues/<PR_NUMBER>/comments --paginate --slurp \
| jq -r '[.[][]] | last | .body // ""'
# Latest formal PR review body (approvals and review-body sign-offs land here,
# not in issue comments):
gh api repos/{owner}/{repo}/pulls/<PR_NUMBER>/reviews --paginate --slurp \
| jq -r '[.[][] | select(.body != "")] | last | .body // ""'
If either output contains phrases like "ready to merge", "all issues fixed", "lgtm", "approved", or similar resolution language, surface that summary first with a note that the listed must-fix items may already be resolved. Then present the full script output.
After presenting comments, offer context-appropriate actions:
tools
This skill should be used when the user asks to "design a CLI", "help me design command-line flags", "what flags should my tool have", "create a CLI spec", "refactor my CLI interface", "design a CLI my agent can call", or wants to design command-line UX (args/flags/subcommands/help/output/errors/config) before implementation or audit an existing CLI surface for consistency and composability.
testing
Recall, search, continue, or analyze past conversations. Triggers on recall phrases ("what did we discuss", "continue where we left off", "we decided"), retrospective phrases ("do a retro", "post-mortem", "what went well", "lessons learned", "find antipatterns"), and implicit signals (past-tense references, possessives without context, assumptive questions like "do you remember").
data-ai
Persist learnings to memory or maintain existing memories. Triggers on "extract learnings", "save this for next time", "remember this pattern", "consolidate memories", "dream", "clean up memories".
development
Use for any image creation or editing request — logo, sticker, product mockup, nano banana, t2i, i2i, multi-reference compositing via generate.py. Not for HTML/CSS mockups, diagrams, or coded UI.