ihkreddy/agent-skills-ts · Archived

sprint-summary

Generate sprint review summary from completed Jira tickets

First seen Mar 1, 2026

Installation

$ npx skills add ihkreddy/agent-skills-ts --skill sprint-summary

Summary

sprint-summary Installation Command Prompt $ npx skills add https://github.com/ihkreddy/agent-skills-ts --skill sprint-summary

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 8,181 B
  • docs SUMMARY.md 80 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

Sprint Summary Generator

Automatically generates comprehensive sprint review summaries by analyzing completed Jira tickets, merged PRs, and team velocity.

🎯 Use Case Demo

Scenario: Sprint Review Meeting Preparation

Before (Manual Process):

Scrum Master spends 2 hours before sprint review:
1. Open Jira, filter completed tickets
2. Copy each ticket title into a document
3. Group by epic/feature
4. Add story points completed
5. List what rolled over
6. Calculate velocity manually
7. Format for presentation

Time: 2-3 hours, tedious work

After (With This Skill):

Scrum Master: "Generate sprint summary for Sprint 24"

Agent Response:
```
📊 SPRINT SUMMARY REPORT
═══════════════════════════════════════════════════════════════

🏃 Sprint: Sprint 24 - "Flight Search Optimization"
📅 Duration: Dec 4 - Dec 18, 2024
👥 Team: Flight Booking Squad (5 developers)

═══════════════════════════════════════════════════════════════
📈 KEY METRICS
═══════════════════════════════════════════════════════════════

| Metric | Planned | Completed | % |
|--------|---------|-----------|---|
| Story Points | 42 | 38 | 90% |
| User Stories | 12 | 10 | 83% |
| Bug Fixes | 5 | 7 | 140% |
| Tech Debt | 3 | 3 | 100% |

📊 Velocity Trend:
Sprint 22: 32 pts
Sprint 23: 35 pts
Sprint 24: 38 pts ⬆️ (+8.5%)

═══════════════════════════════════════════════════════════════
✅ COMPLETED WORK BY EPIC
═══════════════════════════════════════════════════════════════

🎯 Epic: Flight Search Performance (21 pts)
─────────────────────────────────────────────
✅ FB-42: Add Redis caching for flight searches (8 pts)
→ 70% reduction in search response time
✅ FB-43: Implement search result pagination (5 pts)
→ Handles 10K+ results efficiently
✅ FB-44: Add search filters (price, time, airline) (5 pts)
✅ FB-45: Search analytics dashboard (3 pts)

🎯 Epic: Booking Reliability (12 pts)
─────────────────────────────────────────────
✅ FB-38: Fix double-booking race condition (5 pts)
→ Critical bug affecting 2% of bookings
✅ FB-39: Add booking confirmation emails (5 pts)
✅ FB-40: Implement booking retry logic (2 pts)

🐛 Bug Fixes (5 pts)
─────────────────────────────────────────────
✅ FB-51: Payment timeout not handled (2 pts)
✅ FB-52: Date picker timezone issue (1 pt)
✅ FB-53: Mobile layout broken on checkout (1 pt)
✅ FB-54: Email special characters escaped (1 pt)
✅ FB-55: Fix rate limiting error message (0.5 pt)
✅ FB-56: Correct flight duration calculation (0.5 pt)
✅ FB-57: Fix seat map display (0 pts - quick fix)

═══════════════════════════════════════════════════════════════
🔄 ROLLED OVER TO NEXT SPRINT
═══════════════════════════════════════════════════════════════

⏳ FB-46: Multi-city search feature (8 pts)
Reason: Blocked by API integration delay
⏳ FB-47: Guest checkout option (5 pts)
Reason: Design review pending

═══════════════════════════════════════════════════════════════
🔀 PULL REQUESTS MERGED
═══════════════════════════════════════════════════════════════

Total PRs Merged: 18
Average Review Time: 4.2 hours

Largest PRs:
• #234 - Redis caching implementation (1,247 lines)
• #241 - Booking email templates (856 lines)
• #238 - Search filters component (623 lines)

═══════════════════════════════════════════════════════════════
🏆 TEAM HIGHLIGHTS
═══════════════════════════════════════════════════════════════

👤 Sarah: 15 pts - Search caching champion
👤 Mike: 12 pts - Booking reliability hero
👤 Alex: 8 pts - Bug squasher (7 bugs fixed!)
👤 Kim: 3 pts - Documentation & testing

═══════════════════════════════════════════════════════════════
💡 RECOMMENDATIONS FOR NEXT SPRINT
═══════════════════════════════════════════════════════════════

Based on this sprint's data:
• Suggested velocity: 40 pts (slightly optimistic)
• Carry-over work: 13 pts already committed
• Available capacity: ~27 pts for new work
• Risk: API integration blocker may continue

═══════════════════════════════════════════════════════════════
```

Time Saved: 2.5 hours → 30 seconds (300x faster)


Agent Instructions

When this skill is activated:

  1. Identify Sprint:

- Get sprint name/number from user or find current sprint - Use Atlassian MCP to get sprint details and date range

  1. Gather Completed Work:

- JQL: sprint = "Sprint X" AND status = Done - Group by Epic/parent - Sum story points by category

  1. Analyze Velocity:

- Compare with previous 2-3 sprints - Calculate trend (improving, stable, declining) - Note any anomalies

  1. Find Rolled Over Items:

- JQL: sprint = "Sprint X" AND status != Done - Note reasons from comments if available

  1. Pull Request Analysis:

- Use GitHub to find PRs merged during sprint - Calculate review times - Identify largest changes

  1. Team Contribution (optional):

- Break down by assignee - Highlight achievements

  1. Format Report:

- Use clear sections with emoji icons - Include tables for metrics - Make it presentation-ready

Example Prompts

  • "Generate sprint summary for Sprint 24"
  • "Create sprint review report"
  • "What did we complete this sprint?"
  • "Prepare sprint retrospective data"
  • "Show me sprint velocity trends"

Benefits

Metric Before After Improvement
Prep time 2.5 hours 30 sec 300x faster
Data accuracy Manual errors Automated 100% accurate
Consistency Variable Standardized Better comparisons
Team visibility Limited Complete Recognition for all