pr-comments
Triage unresolved PR review comments, produce a severity-ordered fix plan, then resolve or fix each issue with subagents. Use when addressing PR feedback before merge.
Works with
---
name: pr-comments
description: Triage unresolved PR review comments, produce a severity-ordered fix plan, then resolve or fix each issue with subagents. Use when addressing PR feedback before merge.
license: MPL-2.0
---
# PR Comments — Triage & Fix
Fetch all unresolved PR review threads, deduplicate across bots, triage by severity, and produce a fix plan for human approval. After sign-off, resolve ignored threads and spawn subagents to fix real issues.
## Invocation
- `/pr-comments` — auto-detect PR from current branch
- `/pr-comments 608` — specific PR number
## Phase 1: Fetch Unresolved Threads
### 1a. Identify the PR
```bash
# Auto-detect from current branch, or use the provided PR number
gh pr view --json number,headRepositoryOwner,title,headRefName,baseRefName
```
### 1b. Fetch ALL review threads via GraphQL
Use GraphQL to get thread resolution status — this is the only reliable source of truth.
```bash
gh api graphql -f query='
{
repository(owner: "{OWNER}", name: "{REPO_NAME}") {
pullRequest(number: {PR_NUMBER}) {
reviewThreads(first: 100) {
nodes {
id
isResolved
isOutdated
path
line
comments(first: 20) {
nodes {
databaseId
author { login }
body
path
line
originalLine
createdAt
url
}
}
}
}
}
}
}'
```
Paginate if `hasNextPage` is true. Collect every thread.
### 1c. Filter to unresolved threads only
- Keep threads where `isResolved == false`
- Note `isOutdated` — the diff may have moved; flag these for extra scrutiny
### 1d. Also fetch issue-level comments (PR conversation tab)
```bash
gh api --paginate "repos/{OWNER}/{REPO_NAME}/issues/{PR_NUMBER}/comments?per_page=100"
```
Filter to comments from **human reviewers only** (not bots). These are often the most important.
## Phase 2: Deduplicate & Classify
Multiple bots often flag the **same underlying issue** on the same file/line. Group them.
### 2a. Group by file + line range
Threads targeting the same file within a 5-line range likely address the same issue. Merge them into a single logical issue.
### 2b. Parse severity from bot comments
Each bot uses different severity markers:
| Bot | Format | Example |
|-----|--------|---------|
| `coderabbitai[bot]` | Emoji badge in body | `🟠 Major`, `🟡 Minor`, `🔴 Critical` |
| `gemini-code-assist[bot]` | SVG image alt text | `![medium]`, `![high]`, `![low]` |
| `chatgpt-codex-connector[bot]` | Shield badge | `P1`, `P2`, `P3` |
| `devin-ai-integration[bot]` | HTML comment metadata | Parse `devin-review-comment` JSON for severity |
Map all to a unified scale: **Critical > Major > Medium > Minor > Nitpick**
When multiple bots flag the same issue at different severities, take the **highest**.
### 2c. Classify each issue
For each deduplicated issue, determine:
1. **Category**: `security` | `bug` | `correctness` | `performance` | `accessibility` | `style` | `config` | `docs`
2. **Severity**: Critical / Major / Medium / Minor / Nitpick
3. **Confidence**: How likely is this a real problem vs. a false positive?
- Human reviewer comments → always high confidence
- Multiple bots flagging the same thing → high confidence
- Single bot, no context about codebase patterns → low confidence
- Bot flagging a SKILL.md or config file → usually noise
### 2d. Identify ignore candidates
Flag as **ignore candidate** if ANY of these apply:
- Bot comment on a non-source file (`.md`, config, migrations) with no security implications
- Style/nitpick-level feedback that contradicts project conventions (check AGENTS.md)
- Bot flagging something that was intentionally designed that way (check git blame / PR description)
- Outdated thread (`isOutdated == true`) where the code has already changed
- Duplicate of another issue already being addressed
- Bot suggesting a pattern that contradicts a loaded skill or AGENTS.md convention
## Phase 3: Write the Fix Plan
Write the plan to `.claude/scratchpad/pr-{PR_NUMBER}-review-plan.md`.
### Plan Format
```markdown
# PR #{PR_NUMBER} Review Plan — "{PR_TITLE}"
**Branch:** {branch_name}
**PR URL:** {pr_url}
**Threads fetched:** {total} total, {unresolved} unresolved, {outdated} outdated
**Bot breakdown:** {count per bot}
---
## Issues to Fix (ordered by severity)
Only include issues that will actually be fixed. Items classified as ignored in Phase 2 go EXCLUSIVELY in the Ignored section below — never list them here.
### 1. [{SEVERITY}] {Short description of the issue}
- **File:** `path/to/file.ts#L{line}`
- **Category:** {category}
- **Flagged by:** @bot1, @bot2
- **Comment URL:** {url to first comment}
- **What's wrong:** {1-2 sentence explanation in plain english}
- **Suggested fix:** {concrete description of what to change}
> Original comment (from @bot1):
> {relevant excerpt — strip boilerplate/badges}
---
### 2. [{SEVERITY}] ...
---
## Ignored (with reasoning)
Each ignored item appears ONLY here — not duplicated in the Issues to Fix section above.
### I1. @{bot} on `path/to/file.ts#L{line}`
- **Why ignored:** {specific reason — e.g., "contradicts project convention in AGENTS.md to not use explicit return types", "outdated thread, code already changed", "style nitpick on a config file"}
- **Original comment:** {link to comment}
### I2. ...
---
## Summary
- **{N} issues to fix** across {M} files
- **{K} comments ignored** ({reasons breakdown})
- Estimated complexity: {low/medium/high}
```
### Present to user
After writing the plan, tell the user:
> Review plan written to `.claude/scratchpad/pr-{PR_NUMBER}-review-plan.md`.
> **{N} issues to fix**, **{K} ignored**. Please review and confirm to proceed.
**STOP HERE.** Wait for the user to review and approve. Do not proceed until they confirm.
## Phase 4: Execute (after human approval)
Once the user approves (they may edit the plan first — re-read it before executing):
### 4a. Resolve ignored threads
For each ignored issue, resolve the GitHub thread with a brief comment explaining why:
```bash
# Post a reply comment on the thread
gh api -X POST "repos/{OWNER}/{REPO_NAME}/pulls/{PR_NUMBER}/comments" \
-f body="Acknowledged — {reason}. Resolving." \
-F in_reply_to={COMMENT_DATABASE_ID}
# Resolve the thread via GraphQL
gh api graphql -f query='
mutation {
resolveReviewThread(input: { threadId: "{THREAD_NODE_ID}" }) {
thread { isResolved }
}
}'
```
Use concise, specific dismiss reasons. Examples:
- "Acknowledged — project convention is to omit explicit return types (see AGENTS.md). Resolving."
- "Acknowledged — outdated thread, code has been refactored. Resolving."
- "Acknowledged — this is intentional; sessionStorage is only accessed client-side. Resolving."
### 4b. Fix real issues with subagents
Group related issues that touch the same file or logical unit. Then launch **parallel subagents** (one per file or logical group) using the Task tool:
```
Launch a Task subagent (subagent_type: "general-purpose") for each group:
Prompt template:
"Fix the following PR review issue(s) on branch {BRANCH}:
Issue: {description}
File: {path}#{line}
What's wrong: {explanation}
Suggested fix: {fix description}
Read the file, understand the surrounding context, and make the fix.
After fixing, verify the change is correct.
Do NOT touch unrelated code."
```
- Use `subagent_type: "general-purpose"` for each group
- Launch groups in parallel where they touch different files
- Sequential if they touch the same file
### 4c. After all subagents complete
1. Resolve the fixed threads on GitHub (same GraphQL mutation as 4a, with a comment like "Fixed in latest push.")
2. Report results to the user
## Known Bot Noise Patterns
These are **almost always ignorable** — but verify before dismissing:
1. **coderabbit on SKILL.md / AGENTS.md files** — flags markdown structure, irrelevant
2. **gemini suggesting explicit return types** — check project AGENTS.md or lint config before accepting
3. **devin HTML comment metadata** — often duplicates what coderabbit already found
4. **codex P3 style suggestions** — usually preferences, not bugs
5. **Any bot suggesting `as` casts or non-null assertions** — check project conventions before accepting
6. **vercel[bot] deployment comments** — pure noise, never actionable
7. **Bot comments on migration files** — almost always false positives (auto-generated code)More Code Review skills
pr-to-video
heygen-com/hyperframes
Turn a GitHub pull request (a PR URL, owner/repo#N, or 'this PR' in a checked-out repo) into a code-change explainer video — changelog, feature reveal, fix, or refactor walkthrough built from the diff, commits, and files: the input is a code change, not a website. Not a product promo (/product-launch-video) or a no-PR topic explainer (/faceless-explainer). Unclear → /hyperframes.
receiving-code-review
obra/superpowers
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
public-relations
coreyhaines31/marketingskills
When the user wants help with public relations, earned media, press coverage, journalist outreach, or media strategy (not pull requests). Also use when the user mentions 'PR,' 'public relations,' 'press,' 'press release,' 'press coverage,' 'media outreach,' 'pitch a journalist,' 'get featured,' 'media list,' 'media kit,' 'press kit,' 'newsjacking,' 'news hijack,' 'HARO,' 'Qwoted,' 'Featured,' 'Help A Reporter,' 'reporter request,' 'tech press,' 'TechCrunch,' 'earned media,' 'thought leadership placement,' 'op-ed,' 'guest article,' 'press contacts,' 'podcast prep,' 'going on a podcast,' 'podcast guest,' 'prep me for this podcast,' or 'how do I get press.' Use this for earned media work — finding journalists, pitching stories, newsjacking, prepping podcast appearances, and responding to press requests. For startup/SaaS/AI directory submissions, see directory-submissions. For product launches, see launch. For social-media engagement, see social. For cold-email outreach to prospects, see cold-email.

