Auto Triage

Automatically suggest labels for issues

Auto Triage

Simili Bot automatically analyzes issues and suggests appropriate labels.

How it works

1. Read Issue - Extract title, description, and context
2. Analyze - Use AI to understand issue type and context
3. Suggest Labels - Return labels with confidence scores
4. Post Comment - Show suggestions for manual review
5. Optional Action - Can auto-apply labels if desired

Example

New Issue: “Database queries are slow”

Simili Bot suggests:

## Suggested Labels
- performance (95% confidence)
- database (92% confidence)
- bug (78% confidence)
- needs-investigation (65% confidence)

Configuration

Auto-triage is part of “issue-triage” workflow:

- uses: similigh/simili-bot@v0.2.0
  with:
    workflow: "issue-triage"  # Includes auto-triage

Smart suggestions

Works with your repository’s labels:

• Analyzes existing labels
• Learns from historical issues
• Respects your labeling conventions
• Suggests only labels that exist

Benefits

✅ Consistent labeling ✅ Faster issue categorization ✅ No manual label selection ✅ Helps new contributors understand labels

Next steps

Patterns overview

Manage labels across multiple repositories

Quality assessment

Improve issue description quality