Sprint summary

Sprint Summary

Generate a sprint summary from Claude Code Agent Monitor data.

Input

The user provides: $ARGUMENTS

This may be:

• A sprint duration: "last 2 weeks", "last 10 days"
• A date range: "2025-03-31 to 2025-04-13"
• "current sprint" (default: last 14 days)

Procedure

1. Fetch sprint data from http://localhost:4820:

   • GET /api/sessions?limit=500 — all sessions in range (default sort: most recently updated first)
   • GET /api/analytics — aggregated metrics
   • GET /api/pricing/cost — total costs
   • For high-value sessions: GET /api/events?session_id={id} — event details

2. Compile sprint summary:

   🎯 Sprint Overview

   • Sprint period: [start] to [end]
   • Total sessions: N (completed: N, errored: N, abandoned: N)
   • Total development hours with Claude Code: N
   • Total cost: $X.XX
   • Overall completion rate: N%

   📦 Deliverables

   Group sessions by working directory (project):

   • Project A (/path/to/project)
     • N sessions, N hours, key activities
   • Project B (/path/to/other)
     • N sessions, N hours, key activities

   📊 Velocity Metrics

   Metric	Sprint	Previous Sprint	Trend
   Sessions/day	N	N	↑/↓
   Avg session duration	Nm	Nm	↑/↓
   Cost/session	$N	$N	↑/↓
   Tokens/session	N	N	↑/↓
   Completion rate	N%	N%	↑/↓

   🛠 Technology Breakdown

   • Models used with distribution percentages
   • Top 15 tools by usage with category grouping
   • Subagent utilization rate

   ⚡ Efficiency Analysis

   • Token efficiency: cache hit rate, compaction frequency
   • Cost per completed task
   • Time-to-first-output (avg across sessions)
   • Error recovery rate (sessions that recovered from errors)

   🔄 Retrospective Data Points

   • What went well: Highest-efficiency sessions, best completion rates
   • What could improve: Most expensive sessions, highest error rates
   • Action items: Data-driven suggestions for next sprint

Output Format

Professional sprint report suitable for sharing with team leads or managers:

• Executive summary paragraph (5 sentences max)
• Structured data tables with trend indicators
• Grouped deliverables by project
• Numbered action items at the end