Detect Projects

Analyze work history to identify major projects and group related work.

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.

Note: Project detection is now built into the CLI. Run work-chronicler analyze --projects to generate projects.json. This skill is for reviewing and refining those results.

Data Location

<work-log>/
├── filtered/               # ⭐ USE THIS IF IT EXISTS (pre-filtered subset)
│   ├── .analysis/
│   ├── pull-requests/
│   └── jira/
├── .analysis/
│   ├── projects.json   # Pre-computed project groupings (use this first!)
│   ├── stats.json      # Impact breakdown, repo stats
│   └── timeline.json   # Chronological view
├── pull-requests/
│   └── <org>/<repo>/*.md
└── jira/
    └── <org>/<project>/*.md

Instructions

1. •

   Start with projects.json (if it exists):

   • •Contains pre-detected project groupings
   • •Has confidence levels: high, medium, low
   • •High confidence = PRs share JIRA ticket references
   • •Low confidence = time-based clustering (may need refinement)
2. •

   Review and refine groupings:

   • •Merge related projects that were detected separately
   • •Split projects that are too broad
   • •Add context from ticket summaries and PR descriptions
   • •Identify themes across projects
3. •

   For manual detection (if projects.json doesn't exist):

   • •Look for shared JIRA ticket references across PRs
   • •Check ticket prefixes (e.g., AUTH-, PERF-)
   • •Consider temporal clustering (work in same 2-4 week period)
   • •Use PR labels and repository patterns

Project Summary Format

For each project, gather:

• •Name/theme (from primary ticket or inferred)
• •Time period (earliest to latest PR)
• •Related PRs and tickets
• •Total scope (lines changed, PR count)
• •Impact level distribution
• •Key outcomes or deliverables

Example Output

## Detected Projects

### 1. Authentication Overhaul (High Confidence)
**Period**: January - March 2025
**Scope**: 5 PRs, 4 tickets, +5,200 / -1,800 lines
**Impact**: 3 flagship, 2 major

**Tickets**:
- DWP-575: Add cursor command for creating jira ticket
- DWP-576: Create honeycomb-env package
- DWP-577: Refactor helm charts
- DWP-578: Update deployment scripts

**Key Deliverables**:
- OAuth2 integration with multiple providers
- TOTP-based MFA support
- Secure session handling with refresh tokens

---

### 2. Performance Optimization (High Confidence)
**Period**: April - June 2025
**Scope**: 8 PRs, 3 tickets, +3,100 / -900 lines
**Impact**: 2 flagship, 4 major, 2 standard

**Tickets**:
- DWP-463: Eater app lambda optimization
- DWP-529: Caching layer implementation
- DWP-530: Database query optimization

**Key Deliverables**:
- 73% reduction in API latency
- 60% reduction in database load

---

### 3. Unrelated Work Cluster (Low Confidence - Needs Review)
**Period**: July 2025
**Scope**: 12 PRs, 0 tickets, +800 / -200 lines

*This cluster was detected by time proximity. Review PRs to determine if they form a cohesive project or should be split.*

PRs: #4074, #4091, #4094, #4096, #4098, #4103, #4104, #4109, #4110, #4114, #4120, #4126

Tips

• •High confidence projects are most reliable - start there
• •Low confidence projects may need manual review
• •Look for patterns in PR titles that suggest related work
• •Consider the "filtered/" directory if you only want to see significant work
• •Check timeline.json to understand when projects overlapped