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pm-claude-skills/templates/pm-sprint-agent/examples/output-example.md
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mohitagw15856 e5377ca61a feat: v8.0.0 — first agent template (PM Sprint Agent) following Anthropic's agent template architecture
- Added templates/pm-sprint-agent/ directory with full agent template
  - AGENT.md system prompt with explicit step-by-step workflow
  - 2 subagents: capacity-analyst and risk-scorer
  - 2 connectors: linear and jira (with example configs)
  - Symlinked skills from main library: sprint-planning, sprint-brief
  - orchestrate.sh end-to-end workflow script
  - examples/ folder with input and output examples
  - tests/ folder with smoke test
- Updated README to position skills as building blocks for agent templates
- Added Anthropic agent templates announcement reference (May 5, 2026)
- Bumped marketplace.json to v8.0.0
- Listed 7 candidate agent templates this library supports

This is the first agent template in the library. More to follow.
2026-05-05 23:26:08 +01:00

7.8 KiB

Sprint 23 Plan

Sprint Goal: Reduce checkout abandonment by 20% Duration: 2 weeks Team Size: 5 engineers Generated: 2026-05-05 14:30 BST Connector Used: linear


Capacity Summary

Headline numbers

Metric Value
Base capacity 130 story points
Capacity hits -16 story points
Buffer reserved (20%) -22 story points
Available capacity 92 story points

Per-engineer breakdown

Engineer Available SP Notes
Engineer 1 (Sarah) 22 Full availability
Engineer 2 (Marcus) 18 2 days PTO mid-sprint
Engineer 3 (Priya) 22 Full availability
Engineer 4 (David) 12 On-call week 1 (50% reduction)
Engineer 5 (Lin) 18 2 days at conference week 2

Assumptions used

  • Baseline velocity: 13 points/engineer/week (calibrated from last 3 sprints: 12.8, 13.2, 13.0 average)
  • Buffer applied: 20%
  • Capacity hits: 4 PTO days, 5 on-call days, 2 conference days

Confidence: High

Historical velocity provided and capacity hits are confirmed in the team calendar.

Caveats

  • Unplanned production incidents could reduce on-call engineer's capacity further
  • New starter onboarding could pull from more senior engineers' time
  • Sprint review prep (~4 hours team-wide) is included in the buffer

Sprint Plan

Selected items (87 of 92 available story points)

Issue Title SP Priority Owner
CHK-142 Add saved-cart recovery email at 30 min 8 High Sarah
CHK-138 Fix slow-loading payment iframe on Safari 5 High Marcus
CHK-156 A/B test: simplified checkout vs current 13 High Priya
CHK-149 Add address auto-complete for international 8 Medium Sarah
CHK-161 Show estimated delivery date earlier in flow 5 Medium Marcus
CHK-145 Improve guest checkout conversion 13 High Priya
CHK-167 Reduce required fields on payment step 5 High David
CHK-152 Optimise checkout JS bundle size 8 Medium Lin
CHK-159 Better error messages on card decline 3 High David
CHK-163 Track funnel drop-off in analytics dashboard 5 Medium Sarah
CHK-171 Bug fix: discount code validation race condition 5 High Lin
CHK-175 Bug fix: tax calculation off by 1 cent in EU 3 Medium Marcus
CHK-177 Bug fix: Apple Pay button not appearing on iOS 17 6 High David

Total: 87 story points (5 points unallocated as additional buffer)

Definition of done

  • All A/B test variants are deployed behind feature flags
  • Analytics events fire correctly for funnel tracking
  • All bug fixes have regression tests
  • Cross-browser testing complete (Chrome, Safari, Firefox, Edge)
  • Mobile testing complete (iOS, Android)
  • Performance budget met (no checkout step exceeds 2.5s LCP)
  • Team retro signed off by sprint owner

Dependencies flagged

  • CHK-156 depends on the analytics events from CHK-163 being deployed first
  • CHK-145 may require design review for any new UI elements
  • CHK-177 requires testing on physical iOS 17 devices

Risk Assessment

Overall sprint risk: Medium

The plan is realistic but has some concentration risk on Priya (two of the larger items).

Risk score breakdown

Dimension Average score (1-5) Highest-risk items
Size risk 2.4 CHK-156, CHK-145 (both 13 points)
Dependency risk 2.0 CHK-156 (depends on CHK-163)
Knowledge risk 2.6 CHK-156, CHK-145 (both Priya only)

Per-item risk scores (top 5)

Item Size Dep Know Composite Flags
CHK-156 (A/B test) 4 3 4 3.7 Large + dependency + Priya only
CHK-145 (guest checkout) 4 1 4 3.0 Large + Priya only
CHK-177 (Apple Pay) 3 2 3 2.7 iOS 17 testing required
CHK-152 (JS bundle) 3 1 3 2.3 Lin only knows the build system
CHK-167 (required fields) 2 2 2 2.0 Frontend + backend coordination

Risk patterns identified

Single-engineer concentration

  • Items affected: CHK-156, CHK-145, CHK-149, CHK-163 (all Priya/Sarah)
  • Why this is risky: 39 of 87 story points (45%) depend on two engineers
  • Suggested mitigation: Pair Priya with Marcus on CHK-156 to spread knowledge

Bug-fix load (within acceptable range)

  • Items affected: CHK-171, CHK-175, CHK-177 (14 SP total)
  • Why this is acceptable: 16% of capacity, below the 30% threshold

Pre-sprint mitigation actions

  1. Pair Priya with Marcus on CHK-156 — Sarah Chen — by sprint kickoff
  2. Confirm iOS 17 device availability for CHK-177 — David Park — by EOD Monday
  3. Get design review scheduled for CHK-145 — Sarah Chen — by EOD Tuesday
  4. Verify analytics dashboard has capacity for new events (CHK-163) — Lin Wang — by sprint kickoff
  • CHK-156 (A/B test: simplified checkout) — at 13 points and high knowledge concentration, recommend breaking into:
    • CHK-156a: Build A/B variant of checkout flow (8 SP)
    • CHK-156b: Wire up analytics tracking for the test (5 SP)

Kickoff Brief

Sprint at a glance

Goal: Reduce checkout abandonment by 20%

This sprint is laser-focused on conversion optimisation across the checkout funnel. We're shipping the most impactful changes our funnel analysis identified: saved-cart recovery, simplified checkout flow (A/B tested), better error handling, and improving guest checkout conversion.

We'll know we succeeded if checkout completion rate increases by 4 percentage points (current 82% → target 86%).

Why this sprint matters

Checkout abandonment is currently costing us approximately £180k per month in lost revenue. The funnel analysis from Q1 identified seven specific friction points — six of those are addressed in this sprint. The seventh (international currency display) is being deferred to next sprint pending design.

What's being shipped

Conversion optimisation (61 SP)

  • Saved-cart recovery email
  • A/B test of simplified checkout
  • Better guest checkout
  • Address auto-complete
  • Earlier delivery date display
  • Reduced required fields

Performance and analytics (13 SP)

  • Checkout JS bundle optimisation
  • Funnel drop-off tracking

Bug fixes (14 SP)

  • Safari payment iframe slowness
  • Discount code race condition
  • EU tax calculation
  • Apple Pay on iOS 17
  • Card decline error messages

What we're NOT doing this sprint

  • International currency display (deferred — needs design)
  • Mobile checkout redesign (deferred — out of sprint scope)
  • New payment method integration (deferred — Q3 priority)

Definition of success

  • Checkout completion rate ≥ 86% (measured 30 days post-deploy)
  • A/B test reaches statistical significance within 14 days
  • All bug fixes deploy without regression
  • No production incidents from changes shipped this sprint

Risks the team should know

  • Two of our highest-impact items depend heavily on Priya — we've paired her with Marcus to spread knowledge
  • CHK-156 should be broken into two smaller items at refinement
  • iOS 17 device availability needs confirmation before sprint start

Action Items for Sprint Planning Meeting

  1. Review the risk assessment with the team — discuss the single-engineer concentration on Priya
  2. Decide whether to break down CHK-156 into two smaller items
  3. Confirm iOS 17 device availability with David before locking in CHK-177
  4. Confirm capacity assumptions match what engineers actually expect
  5. Lock in the sprint goal — get verbal commitment from the team
  6. Update Linear with the agreed sprint scope after the meeting

Generated by PM Sprint Agent — first agent template in the pm-claude-skills library