Agent skill

agile-product-owner

Agile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use for writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing backlog.

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Install this agent skill to your Project

npx add-skill https://github.com/borghei/Claude-Skills/tree/main/product-team/agile-product-owner

Metadata

Additional technical details for this skill

tags
agile user-stories backlog sprint-planning scrum
author
borghei
domain
agile
updated
1774915200
version
1.0.0
category
product

SKILL.md

Agile Product Owner

Backlog management and sprint execution toolkit for product owners, including user story generation, acceptance criteria patterns, sprint planning, and velocity tracking.


Table of Contents

  • User Story Generation Workflow
  • Acceptance Criteria Patterns
  • Epic Breakdown Workflow
  • Sprint Planning Workflow
  • Backlog Prioritization
  • Reference Documentation
  • Tools

User Story Generation Workflow

Create INVEST-compliant user stories from requirements:

  1. Identify the persona (who benefits from this feature)
  2. Define the action or capability needed
  3. Articulate the benefit or value delivered
  4. Write acceptance criteria using Given-When-Then
  5. Estimate story points using Fibonacci scale
  6. Validate against INVEST criteria
  7. Add to backlog with priority
  8. Validation: Story passes all INVEST criteria; acceptance criteria are testable

User Story Template

As a [persona],
I want to [action/capability],
So that [benefit/value].

Example:

As a marketing manager,
I want to export campaign reports to PDF,
So that I can share results with stakeholders who don't have system access.

Story Types

Type Template Example
Feature As a [persona], I want to [action] so that [benefit] As a user, I want to filter search results so that I find items faster
Improvement As a [persona], I need [capability] to [goal] As a user, I need faster page loads to complete tasks without frustration
Bug Fix As a [persona], I expect [behavior] when [condition] As a user, I expect my cart to persist when I refresh the page
Enabler As a developer, I need to [technical task] to enable [capability] As a developer, I need to implement caching to enable instant search

Persona Reference

Persona Typical Needs Context
End User Efficiency, simplicity, reliability Daily feature usage
Administrator Control, visibility, security System management
Power User Automation, customization, shortcuts Expert workflows
New User Guidance, learning, safety Onboarding

Acceptance Criteria Patterns

Write testable acceptance criteria using Given-When-Then format.

Given-When-Then Template

Given [precondition/context],
When [action/trigger],
Then [expected outcome].

Examples:

Given the user is logged in with valid credentials,
When they click the "Export" button,
Then a PDF download starts within 2 seconds.

Given the user has entered an invalid email format,
When they submit the registration form,
Then an inline error message displays "Please enter a valid email address."

Given the shopping cart contains items,
When the user refreshes the browser,
Then the cart contents remain unchanged.

Acceptance Criteria Checklist

Each story should include criteria for:

Category Example
Happy Path Given valid input, When submitted, Then success message displayed
Validation Should reject input when required field is empty
Error Handling Must show user-friendly message when API fails
Performance Should complete operation within 2 seconds
Accessibility Must be navigable via keyboard only

Minimum Criteria by Story Size

Story Points Minimum AC Count
1-2 3-4 criteria
3-5 4-6 criteria
8 5-8 criteria
13+ Split the story

See references/user-story-templates.md for complete template library.


Epic Breakdown Workflow

Break epics into deliverable sprint-sized stories:

  1. Define epic scope and success criteria
  2. Identify all personas affected by the epic
  3. List all capabilities needed for each persona
  4. Group capabilities into logical stories
  5. Validate each story is ≤8 points
  6. Identify dependencies between stories
  7. Sequence stories for incremental delivery
  8. Validation: Each story delivers standalone value; total stories cover epic scope

Splitting Techniques

Technique When to Use Example
By workflow step Linear process "Checkout" → "Add to cart" + "Enter payment" + "Confirm order"
By persona Multiple user types "Dashboard" → "Admin dashboard" + "User dashboard"
By data type Multiple inputs "Import" → "Import CSV" + "Import Excel"
By operation CRUD functionality "Manage users" → "Create" + "Edit" + "Delete"
Happy path first Risk reduction "Feature" → "Basic flow" + "Error handling" + "Edge cases"

Epic Example

Epic: User Dashboard

Breakdown:

Epic: User Dashboard (34 points total)
├── US-001: View key metrics (5 pts) - End User
├── US-002: Customize layout (5 pts) - Power User
├── US-003: Export data to CSV (3 pts) - End User
├── US-004: Share with team (5 pts) - End User
├── US-005: Set up alerts (5 pts) - Power User
├── US-006: Filter by date range (3 pts) - End User
├── US-007: Admin overview (5 pts) - Admin
└── US-008: Enable caching (3 pts) - Enabler

Sprint Planning Workflow

Plan sprint capacity and select stories:

  1. Calculate team capacity (velocity × availability)
  2. Review sprint goal with stakeholders
  3. Select stories from prioritized backlog
  4. Fill to 80-85% of capacity (committed)
  5. Add stretch goals (10-15% additional)
  6. Identify dependencies and risks
  7. Break complex stories into tasks
  8. Validation: Committed points ≤85% capacity; all stories have acceptance criteria

Capacity Calculation

Sprint Capacity = Average Velocity × Availability Factor

Example:
Average Velocity: 30 points
Team availability: 90% (one member partially out)
Adjusted Capacity: 27 points

Committed: 23 points (85% of 27)
Stretch: 4 points (15% of 27)

Availability Factors

Scenario Factor
Full sprint, no PTO 1.0
One team member out 50% 0.9
Holiday during sprint 0.8
Multiple members out 0.7

Sprint Loading Template

Sprint Capacity: 27 points
Sprint Goal: [Clear, measurable objective]

COMMITTED (23 points):
[H] US-001: User dashboard (5 pts)
[H] US-002: Export feature (3 pts)
[H] US-003: Search filter (5 pts)
[M] US-004: Settings page (5 pts)
[M] US-005: Help tooltips (3 pts)
[L] US-006: Theme options (2 pts)

STRETCH (4 points):
[L] US-007: Sort options (2 pts)
[L] US-008: Print view (2 pts)

See references/sprint-planning-guide.md for complete planning procedures.


Backlog Prioritization

Prioritize backlog using value and effort assessment.

Priority Levels

Priority Definition Sprint Target
Critical Blocking users, security, data loss Immediate
High Core functionality, key user needs This sprint
Medium Improvements, enhancements Next 2-3 sprints
Low Nice-to-have, minor improvements Backlog

Prioritization Factors

Factor Weight Questions
Business Value 40% Revenue impact? User demand? Strategic alignment?
User Impact 30% How many users? How frequently used?
Risk/Dependencies 15% Technical risk? External dependencies?
Effort 15% Size? Complexity? Uncertainty?

INVEST Criteria Validation

Before adding to sprint, validate each story:

Criterion Question Pass If...
Independent Can this be developed without other uncommitted stories? No blocking dependencies
Negotiable Is the implementation flexible? Multiple approaches possible
Valuable Does this deliver user or business value? Clear benefit in "so that"
Estimable Can the team estimate this? Understood well enough to size
Small Can this complete in one sprint? ≤8 story points
Testable Can we verify this is done? Clear acceptance criteria

Reference Documentation

User Story Templates

references/user-story-templates.md contains:

  • Standard story formats by type (feature, improvement, bug fix, enabler)
  • Acceptance criteria patterns (Given-When-Then, Should/Must/Can)
  • INVEST criteria validation checklist
  • Story point estimation guide (Fibonacci scale)
  • Common story antipatterns and fixes
  • Story splitting techniques

Sprint Planning Guide

references/sprint-planning-guide.md contains:

  • Sprint planning meeting agenda
  • Capacity calculation formulas
  • Backlog prioritization framework (WSJF)
  • Sprint ceremony guides (standup, review, retro)
  • Velocity tracking and burndown patterns
  • Definition of Done checklist
  • Sprint metrics and targets

Tools

User Story Generator

bash
# Generate stories from sample epic
python scripts/user_story_generator.py

# Plan sprint with capacity
python scripts/user_story_generator.py sprint 30

Generates:

  • INVEST-compliant user stories
  • Given-When-Then acceptance criteria
  • Story point estimates (Fibonacci scale)
  • Priority assignments
  • Sprint loading with committed and stretch items

Sample Output

USER STORY: USR-001
========================================
Title: View Key Metrics
Type: story
Priority: HIGH
Points: 5

Story:
As a End User, I want to view key metrics and KPIs
so that I can save time and work more efficiently

Acceptance Criteria:
  1. Given user has access, When they view key metrics, Then the result is displayed
  2. Should validate input before processing
  3. Must show clear error message when action fails
  4. Should complete within 2 seconds
  5. Must be accessible via keyboard navigation

INVEST Checklist:
  ✓ Independent
  ✓ Negotiable
  ✓ Valuable
  ✓ Estimable
  ✓ Small
  ✓ Testable

Sprint Metrics

Track sprint health and team performance.

Key Metrics

Metric Formula Target
Velocity Points completed / sprint Stable ±10%
Commitment Reliability Completed / Committed >85%
Scope Change Points added or removed mid-sprint <10%
Carryover Points not completed <15%

Velocity Tracking

Sprint 1: 25 points
Sprint 2: 28 points
Sprint 3: 30 points
Sprint 4: 32 points
Sprint 5: 29 points
------------------------
Average Velocity: 28.8 points
Trend: Stable

Planning: Commit to 24-26 points

Definition of Done

Story is complete when:

  • Code complete and peer reviewed
  • Unit tests written and passing
  • Acceptance criteria verified
  • Documentation updated
  • Deployed to staging environment
  • Product Owner accepted
  • No critical bugs remaining

Tool Reference

user_story_generator.py

Generates INVEST-compliant user stories from a sample epic, including acceptance criteria, story point estimates, priority assignments, and sprint planning.

Argument Type Default Description
sprint subcommand - Run in sprint planning mode
[capacity] int 30 Sprint capacity in story points (used with sprint)
bash
# Generate stories from sample epic
python scripts/user_story_generator.py

# Sprint planning with capacity
python scripts/user_story_generator.py sprint 30
python scripts/user_story_generator.py sprint 45

Output includes:

  • Story ID, title, type, priority, and point estimate
  • User story narrative in "As a... I want... So that..." format
  • 5 acceptance criteria per story (Given-When-Then, validation, error, performance, accessibility)
  • INVEST criteria checklist per story
  • Backlog summary with priority breakdown
  • Sprint loading with committed and stretch items (in sprint mode)

Troubleshooting

Problem Cause Solution
Stories too large (>8 points) Epic not broken down enough Apply splitting techniques: by workflow step, persona, or CRUD operation
Acceptance criteria untestable Criteria use vague language Rewrite using Given-When-Then format with specific, observable outcomes
Sprint commitment missed repeatedly Velocity not stabilized or too aggressive Track velocity over 3+ sprints; commit to 80-85% of rolling average
Too many carryover stories Mid-sprint scope changes or poor estimation Enforce no-scope-change rule; calibrate estimates using planning poker
Stories lack clear value Missing "so that" benefit clause Validate every story answers: who benefits, what they get, and why it matters
Sprint has too many dependencies Stories not independent Re-sequence backlog; break dependent stories into independent slices
Stakeholders dispute priority No objective prioritization framework Use WSJF or value/effort scoring; document decision rationale

Success Criteria

Criterion Target How to Measure
Commitment reliability >85% of committed points completed Points completed / Points committed per sprint
INVEST compliance 100% of stories pass all 6 criteria user_story_generator INVEST checklist
Velocity stability Within +/-10% of rolling average Track velocity trend over 5+ sprints
Scope change <10% of sprint points added/removed mid-sprint Count points added or removed after planning
Carryover rate <15% of committed points Points not completed / Points committed
Acceptance criteria quality All criteria testable and verified QA sign-off on acceptance criteria before sprint start
Backlog grooming Top 2 sprints of backlog always ready Count of refined stories with acceptance criteria

Scope & Limitations

In scope:

  • User story generation with INVEST validation
  • Acceptance criteria in Given-When-Then format
  • Sprint planning with capacity-based loading
  • Epic breakdown into sprint-sized stories
  • Backlog prioritization frameworks (WSJF, value/effort)
  • Velocity tracking and sprint metrics
  • Definition of Done enforcement

Out of scope:

  • Jira/Linear ticket creation (use JSON export with their APIs)
  • Burndown chart visualization (use project management tool dashboards)
  • Team member assignment and capacity by individual
  • Cross-team dependency management (use program-level tools)
  • Release planning beyond quarterly horizon
  • Automated acceptance test generation (see engineering skills)

Integration Points

Tool / Platform Integration Method Use Case
Jira / Linear Copy story output or extend script for JSON export Import generated stories as tickets
Confluence / Notion Paste human-readable output Document sprint plans and backlog
Slack Share sprint planning summary Async sprint kickoff communication
product-manager-toolkit RICE scores inform story priority Align sprint priorities with product strategy
product-strategist OKR cascade informs epic selection Connect sprint work to quarterly objectives
ux-researcher-designer Persona data informs story personas Ground user stories in research-backed personas

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