samba-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.
Informations de source
- Dépôt
- criptogus/Samba-Builder
- Dernière activité de la source
- 8 septembre 2026 à 15:30
- Langue détectée de SKILL.md
- anglais
- Étoiles
- 1
- Forks
- 1
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Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.
Affichage de SKILL.md
SKILL.md
Instructions source · Aperçu en lecture seule- name
- samba:feedback-to-issues
- description
- 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.
# 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.
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