Sprint Summary
Summarize a sprint's worth of Claude Code activity, sessions grouped by project (cwd)...
Install
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill sprint-summary -g -a claude-code -y- Repository
- hoangsonww/Claude-Code-Agent-Monitor1.1k
- Category
- AI and agents
- Updated
- 5d ago
- License
- MIT
- Context cost
- Lightabout 584 tokens
- Runs scripts
- No, instructions only
What it does
Summarize a sprint's worth of Claude Code activity, sessions grouped by project (cwd), per-model cost breakdown, token efficiency (cache hit rate, compaction baselines), subagent effectiveness from workflow API, velocity metrics (turn_count, turn_duration_ms), and tool diversity across the sprint.
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
-
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 metricsGET /api/pricing/cost, total costs- For high-value sessions:
GET /api/events?session_id={id}, event details
-
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
âš¡ 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)
