Add feedback-to-issues command (#2639)

## Summary Adds a new `/feedback-to-issues` command that converts customer feedback (usually emails or support tickets) into discrete GitHub issues. The command: - Parses feedback to extract concrete, actionable issues - Searches for existing duplicate issues on GitHub - Proposes new issues for user approval - Creates approved issues - Drafts a professional reply email to the customer ## Features - **Duplicate detection**: Searches GitHub with multiple keyword variations - **User approval workflow**: Shows proposed issues for review before creating - **Draft reply email**: Generates a response email acknowledging all items This is a useful tool for managing customer feedback and support tickets at scale.  --- <a href="https://app.devin.ai/review/dyad-sh/dyad/pull/2639" target="_blank"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://static.devin.ai/assets/gh-open-in-devin-review-dark.svg?v=1"> <img src="https://static.devin.ai/assets/gh-open-in-devin-review-light.svg?v=1" alt="Open with Devin"> </picture> </a>   --- > [!NOTE] > **Low Risk** > Documentation-only addition of a new Claude command; no application/runtime code paths change. > > **Overview** > Adds a new Claude command spec, `/.claude/commands/dyad/feedback-to-issues.md`, to turn pasted (or file-based) customer feedback into actionable GitHub issues. > > The workflow explicitly guides parsing feedback into discrete items, searching `gh issue list` for potential duplicates, presenting *already filed* vs *proposed* issues for **user approval**, then creating approved issues via `gh issue create` and drafting a reply email linking the resulting issues. > > <sup>Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 546a1ace575909596613fa3b5863421bbafe1594. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).</sup>   --- ## Summary by cubic Adds a new /feedback-to-issues command that turns customer emails or tickets into actionable GitHub issues. It checks for duplicates, requires approval before creating issues, and drafts a reply email with links. - **New Features** - Parses feedback into discrete issues with clear titles, types, and priorities. - Searches GitHub for duplicates using multiple keyword variations (open and closed). - Presents a review report and creates only approved issues via gh. - Drafts a concise customer reply that references existing and newly created issues. <sup>Written for commit 546a1ace575909596613fa3b5863421bbafe1594. Summary will update on new commits.</sup>

Add feedback-to-issues command (#2639)
40060a82 · Will Chen · GitHub · 858e04cd · 40060a82
--- a/.claude/commands/dyad/feedback-to-issues.md
+++ b/.claude/commands/dyad/feedback-to-issues.md
+# Feedback to Issues
+Turn customer feedback (usually an email) into discrete GitHub issues. Checks for duplicates, proposes new issues for approval, creates them, and drafts a reply email.
+## Arguments
+- `$ARGUMENTS`: The customer feedback text (email body, support ticket, etc.). Can also be a file path to a text file containing the feedback.
+## Instructions
+1. **Parse the feedback:**
+   Read `$ARGUMENTS` carefully. If it looks like a file path, read the file contents.
+   Break the feedback down into discrete, actionable issues. For each issue, identify:
+   - A concise title (imperative form, e.g., "Add dark mode support")
+   - The type: `bug`, `feature`, `improvement`, or `question`
+   - A clear description of what the customer is reporting or requesting
+   - Severity/priority estimate: `high`, `medium`, or `low`
+   - Any relevant quotes from the original feedback
+   Ignore pleasantries, greetings, and non-actionable commentary. Focus on extracting concrete problems, requests, and suggestions.
+2. **Search for existing issues:**
+   For each discrete issue identified, search GitHub for existing issues that may already cover it:
+   ```bash
+   gh issue list --repo "$(gh repo view --json nameWithOwner -q '.nameWithOwner')" --state all --search "<relevant keywords>" --limit 10 --json number,title,state,url
+   ```
+   Try multiple keyword variations for each issue to avoid missing duplicates. Search both open and closed issues.
+3. **Present the report to the user:**
+   Format the report in three sections:
+   ### Already Filed Issues
+   For each issue that already has a matching GitHub issue, show:
+   - The extracted issue title
+   - The matching GitHub issue(s) with number, title, state (open/closed), and URL
+   - Brief explanation of why it matches
+   ### Proposed New Issues
+   For each issue that does NOT have an existing match, show:
+   - **Title**: The proposed issue title
+   - **Type**: bug / feature / improvement / question
+   - **Priority**: high / medium / low
+   - **Body preview**: The proposed issue body (include the relevant customer quote and a clear description of what needs to happen)
+   - **Labels**: Suggest appropriate labels based on the issue type
+   ### Summary
+   - Total issues extracted from feedback: N
+   - Already filed: N
+   - New issues to create: N
+   **Then ask the user to review and approve the proposal before proceeding.** Do NOT create any issues yet. Wait for explicit approval. The user may want to edit titles, descriptions, priorities, or skip certain issues.
+4. **Create approved issues:**
+   After the user approves (they may request modifications first — apply those), create each approved issue:
+   ```bash
+   gh issue create --title "<title>" --body "<body>" --label "<labels>"
+   ```
+   Report back each created issue with its number and URL.
+5. **Draft a reply email:**
+   After all issues are created, draft a brief, professional reply email for the customer. The email should:
+   - Thank them for their feedback
+   - Briefly acknowledge each item they raised
+   - For items that already had existing issues: mention it's already being tracked
+   - For newly created issues: mention it's been filed and will be looked into
+   - Keep it concise — no more than a few short paragraphs
+   - Use a friendly but professional tone
+   - Include a link to the GitHub issue URL for each item so the customer can follow progress
+   - End with an invitation to share more feedback anytime
+   Present the draft email to the user for review before they send it.