trustable-ai: Command for Claude Code

Sprint Retrospective Workflow

Project: trusted-ai-development-workbench Workflow: Sprint Retrospective Purpose: Reflect on sprint execution and identify improvements

Output Formatting Requirements

IMPORTANT: Use actual Unicode emojis in reports, NOT GitHub-style shortcodes:

• ✅ Went well | ⚠️ Needs improvement | ❌ Problem
• 🎯 Goal met | 📉 Missed target | 📈 Exceeded
• 👍 Keep doing | 🔄 Change | 🛑 Stop doing

Overview

This workflow facilitates sprint retrospectives by analyzing sprint metrics, gathering team feedback, and creating actionable improvement items.

Prerequisites

• Completed sprint in azure-devops
• Sprint metrics and burndown data
• Team availability for feedback

Initialize Work Tracking

# Initialize work tracking adapter (auto-selects Azure DevOps or file-based)
import sys
sys.path.insert(0, ".claude/skills")
from work_tracking import get_adapter

adapter = get_adapter()
print(f"📋 Work Tracking: {adapter.platform}")

# Set sprint name for retrospective
sprint_name = "Sprint X"  # Replace with actual sprint

Workflow Steps

Step 1: Collect Sprint Metrics

1. Query sprint work items:

   # Get all work items from the sprint
   sprint_items = adapter.query_sprint_work_items(sprint_name)
   summary = adapter.get_sprint_summary(sprint_name)
   
   print(f"📊 Sprint {sprint_name} Summary:")
   print(f"  Total items: {summary['total_items']}")
   print(f"  Total points: {summary['total_points']}")
   print(f"  Completed points: {summary['completed_points']}")
   print(f"  Completion rate: {(summary['completed_points']/max(summary['total_points'],1))*100:.1f}%")
   print(f"\n  By state: {summary['by_state']}")
   print(f"  By type: {summary['by_type']}")
   
   # List completed items
   completed_states = ['Done', 'Closed', 'Resolved', 'Completed']
   completed = [i for i in sprint_items if i.get('state') in completed_states]
   incomplete = [i for i in sprint_items if i.get('state') not in completed_states]
   
   print(f"\n✅ Completed ({len(completed)}):")
   for item in completed:
       print(f"  WI-{item['id']}: {item['title']}")
   
   print(f"\n⏳ Not Completed ({len(incomplete)}):")
   for item in incomplete:
       print(f"  WI-{item['id']}: {item['title']} [{item['state']}]")