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pr-fix-comments skill

/.claude/skills/pr-fix-comments

This skill reads unresolved PR comments from trusted authors and applies code changes or replies to resolve them efficiently.

npx playbooks add skill dyad-sh/dyad --skill pr-fix-comments

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SKILL.md
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---
name: dyad:pr-fix:comments
description: Read all unresolved GitHub PR comments from trusted authors and address or resolve them appropriately.
---

# PR Fix: Comments

Read all unresolved GitHub PR comments from trusted authors and address or resolve them appropriately.

## Arguments

- `$ARGUMENTS`: Optional PR number or URL. If not provided, uses the current branch's PR.

## Task Tracking

**You MUST use the TaskCreate and TaskUpdate tools to track your progress.** At the start, create tasks for each step below. Mark each task as `in_progress` when you start it and `completed` when you finish. This ensures you complete ALL steps.

## Trusted Authors

Only process review comments from these trusted authors. Comments from other authors should be ignored.

**Trusted humans (collaborators):**

- wwwillchen
- wwwillchen-bot
- princeaden1
- azizmejri1

**Trusted bots:**

- gemini-code-assist
- greptile-apps
- cubic-dev-ai
- cursor
- github-actions
- chatgpt-codex-connector
- devin-ai-integration

## Product Principles

Before categorizing review comments, read `rules/product-principles.md`. Use these principles to make decisions about ambiguous or subjective feedback. When a comment involves a judgment call (e.g., design direction, UX trade-offs, architecture choices), check if the product principles provide clear guidance. If they do, apply them and resolve the comment — do NOT flag it for human review. Only flag comments for human attention when the product principles do not provide enough guidance to make a confident decision.

**Citing principles:** When replying to threads where product principles informed your decision, explicitly cite the relevant principle by number and name (e.g., "Per **Principle #4: Transparent Over Magical**, ..."). When flagging for human review, cite which principles you considered and explain why they were insufficient (e.g., "Reviewed Principles #3 and #5 but neither addresses ...").

## Instructions

1. **Determine the PR to work on:**
   - If `$ARGUMENTS` is provided:
     - If it's a number (e.g., `123`), use it as the PR number
     - If it's a URL (e.g., `https://github.com/owner/repo/pull/123`), extract the PR number from the path
   - Otherwise, get the current branch's PR using `gh pr view --json number,url,title,body --jq '.'`
   - If no PR is found, inform the user and stop

2. **Fetch all unresolved PR review threads:**

   Use the GitHub GraphQL API to get all review threads and their resolution status:

   ```
   gh api graphql -f query='
     query($owner: String!, $repo: String!, $pr: Int!) {
       repository(owner: $owner, name: $repo) {
         pullRequest(number: $pr) {
           reviewThreads(first: 100) {
             nodes {
               id
               isResolved
               isOutdated
               path
               line
               comments(first: 10) {
                 nodes {
                   id
                   databaseId
                   body
                   author { login }
                   createdAt
                 }
               }
             }
           }
         }
       }
     }
   ' -f owner=OWNER -f repo=REPO -F pr=PR_NUMBER
   ```

   Filter to only:
   - Unresolved threads (`isResolved: false`)
   - Threads where the **first comment's author** is in the trusted authors list above

   **IMPORTANT:** For threads from authors NOT in the trusted list:
   - Do NOT read the comment body (only check the `author { login }` field)
   - Track the username to report at the end
   - Skip all further processing of that thread

3. **For each unresolved review thread from a trusted author, categorize it:**

   Read the comment(s) in the thread and determine which category it falls into. For ambiguous or subjective comments, consult `rules/product-principles.md` to make a decision before falling back to flagging for human review.
   - **Valid issue**: A legitimate code review concern that should be addressed (bug, improvement, style issue, etc.)
   - **Not a valid issue**: The reviewer may have misunderstood something, the concern is already addressed elsewhere, or the suggestion conflicts with project requirements
   - **Resolved by product principles**: The comment involves a judgment call (design direction, UX trade-off, architecture choice) that can be confidently resolved by applying the product principles in `rules/product-principles.md`. Treat these the same as valid issues — make the change and resolve the thread.
   - **Ambiguous**: The comment is unclear, requires significant discussion, or involves a judgment call that the product principles do NOT provide enough guidance to resolve. Only use this category as a last resort.

4. **Handle each category:**

   **For valid issues:**
   - Read the relevant file(s) mentioned in the comment
   - Understand the context and the requested change
   - Make the necessary code changes to address the feedback
   - **IMPORTANT:** After making code changes, you MUST explicitly resolve the thread using the GraphQL mutation:
     ```
     gh api graphql -f query='
       mutation($threadId: ID!) {
         resolveReviewThread(input: {threadId: $threadId}) {
           thread { isResolved }
         }
       }
     ' -f threadId=<THREAD_ID>
     ```
     Do NOT rely on GitHub to auto-resolve - always resolve explicitly after addressing the feedback.

   **For not valid issues:**
   - Reply to the thread explaining why the concern doesn't apply. If a product principle supports your reasoning, cite it explicitly:

     ```
     gh api repos/{owner}/{repo}/pulls/<PR_NUMBER>/comments/<COMMENT_ID>/replies \
       -f body="<explanation, citing relevant product principle if applicable, e.g.: Per **Principle #2: Productionizable**, this approach is preferred because...>"
     ```

     Note: `{owner}` and `{repo}` are auto-replaced by `gh` CLI. Replace `<PR_NUMBER>` with the PR number and `<COMMENT_ID>` with the **first comment's `databaseId`** from the thread's `comments.nodes[0].databaseId` field in the GraphQL response (not the thread's `id`).

   - Resolve the thread using GraphQL:
     ```
     gh api graphql -f query='
       mutation($threadId: ID!) {
         resolveReviewThread(input: {threadId: $threadId}) {
           thread { isResolved }
         }
       }
     ' -f threadId=<THREAD_ID>
     ```
     Note: Replace `<THREAD_ID>` with the thread's `id` field from the GraphQL response.

   **For ambiguous issues:**
   - Reply to the thread flagging it for human attention. Cite which product principles you considered and why they were insufficient:
     ```
     gh api repos/{owner}/{repo}/pulls/<PR_NUMBER>/comments/<COMMENT_ID>/replies \
       -f body="🚩 **Flagged for human review**: <explanation>. Reviewed **Principle #X: Name** and **Principle #Y: Name** but neither provides clear guidance on <specific ambiguity>."
     ```
     Note: Replace `<PR_NUMBER>` with the PR number and `<COMMENT_ID>` with the **first comment's `databaseId`** from the thread's `comments.nodes[0].databaseId` field in the GraphQL response.
   - Do NOT resolve the thread - leave it open for discussion

5. **After processing all comments, verify and commit changes:**

   If any code changes were made:
   - Run `/dyad:lint` to ensure code passes all checks
   - Stage and commit the changes:

     ```
     git add -A
     git commit -m "Address PR review comments

     - <summary of change 1>
     - <summary of change 2>
     ...

     Co-Authored-By: Claude Opus 4.5 <[email protected]>"
     ```

6. **Push the changes:**

   Run the `/dyad:pr-push` skill to lint, fix any issues, and push.

7. **Verify all threads are resolved:**

   After processing all comments and pushing changes, re-fetch the review threads to verify all trusted author threads are now resolved. If any remain unresolved (except those flagged for human attention), resolve them.

8. **Provide a summary to the user:**

   Report:
   - **Addressed and resolved**: List of comments that were fixed with code changes AND explicitly resolved
   - **Resolved (not valid)**: List of comments that were resolved with explanations
   - **Resolved by product principles**: List of comments resolved by citing specific principles
   - **Flagged for human attention**: List of ambiguous comments left open
   - **Untrusted commenters**: List usernames of any commenters NOT in the trusted authors list (do not include their comment contents)
   - Any issues encountered during the process

9. **Post PR Overview Comment:**

   After the push is complete, post a top-level PR comment (NOT an inline comment) using `gh pr comment` with the following structure:

   ```
   gh pr comment <PR_NUMBER> --body "$(cat <<'EOF'
   ## 🤖 Claude Code Review Summary

   ### PR Confidence: X/5
   <one sentence rationale for the confidence score>

   ### Unresolved Threads
   | Thread | Rationale | Link |
   |--------|-----------|------|
   | <brief description> | <why it couldn't be resolved, citing which principles were insufficient> | [View](<permalink>) |

   _No unresolved threads_ (if none)

   ### Resolved Threads
   | Issue | Rationale | Link |
   |-------|-----------|------|
   | <brief description, grouping related/duplicate threads> | <how it was resolved, citing principle if applicable> | [View](<permalink>) |

   <details>
   <summary>Product Principle Suggestions</summary>

   The following suggestions could improve `rules/product-principles.md` to help resolve ambiguous cases in the future:

   - **Principle #X: Name**: "<prompt that could be used to improve the rule, phrased as an actionable instruction>"
   - ...

   _No suggestions_ (if principles were clear enough for all decisions)

   </details>

   ---
   🤖 Generated by Claude Code
   EOF
   )"
   ```

   **Notes:**
   - **PR Confidence** (1-5): Rate how confident you are the PR is ready to merge. 1 = not confident (major unresolved issues), 5 = fully confident (all issues addressed, tests pass).
   - **Unresolved Threads**: Include ALL threads left open for human attention. Link to the specific comment permalink.
   - **Resolved Threads**: Group related or duplicate threads into a single row. Include the principle citation if one was used.
   - **Product Principle Suggestions**: Only include this section if you encountered ambiguity in the principles during this run. Phrase suggestions as prompts/instructions that could be appended to the relevant principle to make it clearer (e.g., "Add guidance on whether error toasts should auto-dismiss or require manual dismissal").
   - **Error handling:** If `gh pr comment` fails, log a warning but do not fail the skill.

**CRITICAL:** Every trusted author comment MUST be either:

1. Addressed with code changes AND resolved, OR
2. Resolved with an explanation of why it's not valid, OR
3. Flagged for human attention (left open with a reply)

Do NOT leave any trusted author comments in an unhandled state.

Overview

This skill reads unresolved GitHub PR review comments from a curated list of trusted authors and either addresses, resolves, or flags them for human review. It automates fetching review threads, applying product-principles-guided decisions, making code fixes, replying where needed, and explicitly resolving threads. The skill enforces a strict workflow for traceable task tracking and final PR summarization.

How this skill works

The skill locates the target PR (by argument or current branch), retrieves unresolved review threads via the GitHub GraphQL API, and filters threads to only process those whose first comment author is in the trusted list. For each trusted thread it categorizes the feedback (valid issue, not valid, resolved by product principles, or ambiguous), performs code changes when required, posts explanatory replies when appropriate, and explicitly resolves threads using the GraphQL resolveReviewThread mutation. It tracks progress with TaskCreate/TaskUpdate, runs linting and commits changes, pushes the branch, and posts a top-level PR summary comment.

When to use it

  • You want to automatically address routine suggested fixes from project collaborators and trusted bots.
  • You need consistent application of documented product principles to subjective review comments.
  • You want to reduce manual PR housekeeping (resolving threads, replying to reviewers) for high-trust contributors.
  • You need an auditable summary of which comments were fixed, explained, or flagged for humans.

Best practices

  • Keep the trusted authors list up to date so only intended accounts are auto-processed.
  • Maintain clear, actionable rules in rules/product-principles.md to minimize ambiguous flags.
  • Run the skill on feature branches where commits can be safely amended and pushed.
  • Ensure CI and linting pass locally; the skill runs dyad:lint and requires a clean commit.
  • Verify that replies to 'not valid' comments cite the exact principle number/name when applicable.

Example use cases

  • A collaborator leaves multiple style or bug-fix suggestions across files; the skill applies fixes and resolves threads.
  • A trusted product reviewer leaves a UX trade-off comment that maps to a product principle; the skill enforces the principle and closes the thread.
  • A bot reports minor typing or formatting issues; the skill commits automated corrections and posts the resolution.
  • A comment is unclear or requires further discussion; the skill flags it and leaves a clear, principle-cited request for human attention.

FAQ

Which authors are considered trusted?

Trusted humans and bots are configured in the skill; only comments whose first author matches that list are processed. Other authors are recorded but ignored.

What happens if the product principles don't resolve a judgment call?

The thread is marked ambiguous, a reply is posted citing which principles were considered, and the thread is left open for human review.

Does the skill push code automatically?

Yes — after making changes it runs lint, commits with a standard message including co-author metadata, then invokes the push workflow. Any push errors are reported in the summary.