Summarize Work

Summarize the user's work history from their work-chronicler data.

Workspace

Active profile: !work-chronicler workspace profile Work log: !work-chronicler workspace work-log Analysis: !work-chronicler workspace analysis

For non-Claude tools: Run work-chronicler workspace work-log to get your data path.

Data Location

Work data is stored in the workspace work-log directory:

<work-log>/
├── filtered/               # ⭐ USE THIS IF IT EXISTS (pre-filtered subset)
│   ├── .analysis/
│   ├── pull-requests/
│   └── jira/
├── .analysis/
│   ├── stats.json      # Impact breakdown, repo stats, PR/ticket counts
│   ├── projects.json   # Detected project groupings
│   └── timeline.json   # Chronological view by week/month
├── pull-requests/
│   └── <org>/<repo>/*.md
└── jira/
    └── <org>/<project>/*.md

Important: If filtered/ exists, use it instead of the main directories. This contains a pre-filtered subset of significant work.

Instructions

1. •

   Start with analysis files (preferred - already computed):

   • •stats.json - Overall stats, impact breakdown, repo/project counts
   • •timeline.json - Activity by week/month with impact distribution
   • •projects.json - Detected project groupings with confidence levels
2. •

   Read PR/ticket files for details:

   • •PRs have frontmatter: title, prNumber, repository, state, additions, deletions, impact (flagship/major/standard/minor), jiraTickets
   • •Tickets have frontmatter: key, summary, project, issueType, status, linkedPRs
3. •

   Check for supporting documents (optional context):

   • •performance-reviews/ - Past reviews for format/context
   • •resumes/ - Existing resume for tone
   • •notes/ - User's own notes and goals

Summary Structure

Generate a summary including:

• •Overview: Date range, total PRs/tickets, impact distribution
• •By Repository: PR counts and lines changed per repo
• •By Impact: Flagship and major work highlighted
• •Major Projects: From projects.json (high confidence first)
• •Timeline: Busiest periods, activity trends
• •Notable Contributions: Largest PRs, most complex changes

Example Output

## Work Summary

### Overview
- **Period**: January 2025 - December 2025
- **Total PRs**: 274 (78 flagship, 50 major, 58 standard, 88 minor)
- **Total JIRA Tickets**: 72
- **PRs linked to tickets**: 31

### Impact Highlights

**Flagship Work** (28% of PRs):
- Platform migration to new authentication system
- Complete redesign of data pipeline architecture
- Multi-region deployment infrastructure

**Major Features** (18% of PRs):
- User dashboard overhaul
- API rate limiting implementation
- Search functionality rewrite

### Top Repositories
1. voxmedia/duet: 206 PRs (+45,000 / -12,000 lines)
2. voxmedia/honeycomb: 63 PRs (+8,500 / -2,100 lines)

### Activity Timeline
- Busiest month: August 2025 (41 PRs)
- Busiest week: Aug 4-10, 2025 (19 PRs)

### Key Projects (High Confidence)
1. **Authentication Overhaul** - 5 PRs, 4 tickets
2. **Eater App Migration** - 4 PRs, 3 tickets

Tips

• •Flagship/major PRs are the most important to highlight
• •Use projects.json confidence levels (high > medium > low)
• •Cross-reference timeline.json for temporal context
• •Look for patterns in ticket prefixes to identify initiatives