Release Reports

Release Reports Skill

Generate reports for weekly release cycles.

Available Actions

Usage

python {baseDir}/skills/release-reports/scripts/release_reports.py --action <ACTION> [OPTIONS]

Options

• --action (required): preview or retro
• --days N: Days to look back for release trains (default: 30)

Examples

# Sunday evening after release train is merged
python {baseDir}/skills/release-reports/scripts/release_reports.py --action preview

# Tuesday morning after prod is stable
python {baseDir}/skills/release-reports/scripts/release_reports.py --action retro

Report Details

Preview Report

Run after the develop → staging PR is merged (Sunday).

Shows:

• Release train PR details
• All feature PRs in this release
• Risk flags: large PRs (500+ lines), quick approvals
• Hotfixes from previous cycle that need backmerge
• Monday QA focus areas
• Release notes data for AI generation

Release Notes Generation

The preview report outputs structured PR data in <release-notes-data> tags. When you see this data:

1. Generate polished, user-facing release notes
2. Rewrite each PR title as a clear one-line summary focusing on user impact
3. Group items into these categories (skip empty ones):
   • What's New - New features and capabilities
   • Bug Fixes - Problems that were resolved
   • Improvements - Enhancements to existing functionality
4. Do NOT include PR links (this is for external sharing)
5. Use professional, concise language

Example output:

## Release Notes

### What's New
- Users can now export reports in PDF format
- Added dark mode support across all pages

### Bug Fixes
- Fixed crash when loading large datasets
- Resolved timezone display issues in reports

### Improvements
- Improved search performance by 40%
- Streamlined onboarding flow

Retro Report

Run after production is stable (Tuesday).

Shows:

• Release timeline (staging date, prod date)
• Outcome (clean release or hotfixes required)
• What shipped (PRs, contributors, lines)
• Hotfixes during QA with backmerge status
• Trend of last 4 releases

Branch Model

Output

Reports include emoji indicators for quick scanning:

• ✅ Clean / Good
• ⚠️ Needs attention
• ❌ Action required