epic-breakdown-advisor skill
Break down epics into user stories with Humanizing Work split patterns. Use when a backlog item is too large to estimate, sequence, or deliver safely.
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Install the epic-breakdown-advisor skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/Product-Manager-Skills mkdir -p ~/.claude/skills cp -r /tmp/Product-Manager-Skills/skills/epic-breakdown-advisor ~/.claude/skills/epic-breakdown-advisor
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Purpose
Guide product managers through breaking down epics into user stories using Richard Lawrence's complete Humanizing Work methodology—a systematic, flowchart-driven approach that applies 9 splitting patterns sequentially. Use this to identify which pattern applies, split while preserving user value, and evaluate splits based on what they reveal about low-value work you can eliminate. This ensures vertical slicing (end-to-end value) rather than horizontal slicing (technical layers).
This is not arbitrary slicing—it's a proven, methodical process that starts with validation, walks through patterns in order, and evaluates results strategically.
Input
Works best with: The epic or large story you need to break down — paste it as written in your backlog. Also useful: Team context (sprint length, estimation ceiling) and what's blocking delivery (too big to estimate, sequence, or release).
Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.
Arriving empty-handed? That works too. The advisor opens by asking for the epic text, then walks the Humanizing Work pattern flowchart against it.
Example invocation: Break this down: 'As a finance admin, I can export any report to Excel, PDF, or CSV with custom date ranges and saved templates.'
Key Concepts
Core Principles: Vertical Slices Preserve Value
A user story is "a description of a change in system behavior from the perspective of a user." Splitting must maintain vertical slices—work that touches multiple architectural layers and delivers observable user value—not horizontal slices addressing single components (e.g., "front-end story" + "back-end story").
The Three-Step Process
- Pre-Split Validation: Check if story satisfies INVEST criteria (except "Small")
- Apply Splitting Patterns: Work through 9 patterns sequentially until one fits
- Evaluate Splits: Choose the split that reveals low-value work or produces equal-sized stories
The 9 Splitting Patterns (In Order)
- Workflow Steps — Thin end-to-end slices, not step-by-step
- Operations (CRUD) — Create, Read, Update, Delete as separate stories
- Business Rule Variations — Different rules = different stories
- Data Variations — Different data types/structures
- Data Entry Methods — Simple UI first, fancy UI later
- Major Effort — "Implement one + add remaining"
- Simple/Complex — Core simplest version first, variations later
- Defer Performance — "Make it work" before "make it fast"
- Break Out a Spike — Time-box investigation when uncertainty blocks splitting
Meta-Pattern (Applies Across All Patterns)
- Identify the core complexity
- List all variations
- Reduce variations to one complete slice
- Make other variations separate stories
Why This Works
- Prevents arbitrary splitting: Methodical checklist prevents guessing
- Preserves user value: Every story delivers observable value
- Reveals waste: Good splits expose low-value work you can deprioritize
- Repeatable: Apply to any epic consistently
Facilitation Source of Truth
Use workshop-facilitation as the default interaction protocol for this skill.
It defines:
- session heads-up + entry mode (Guided, Context dump, Best guess)
- one-question turns with plain-language prompts
- progress labels (for example, Context Qx/8 and Scoring Qx/5)
- interruption handling and pause/resume behavior
- numbered recommendations at decision points
- quick-select numbered response options for regular questions (include Other (specify) when useful)
This file defines the domain-specific assessment content. If there is a conflict, follow this file's domain logic.
Application
Step 0: Provide Epic Context
Agent asks:
Please share your epic:
- Epic title/ID
- Description or hypothesis
- Acceptance criteria (especially multiple "When/Then" pairs)
- Target persona
- Rough estimate
You can paste from Jira, Linear, or describe briefly.
Step 1: Pre-Split Validation (INVEST Check)
Before splitting, verify your story satisfies INVEST criteria (except "Small"):
Agent asks questions sequentially:
1. Independent? "Can this story be prioritized and developed without hard technical dependencies on other stories?"
Options:
- Yes — No blocking dependencies
- No — Requires other work first (flag this)
2. Negotiable? "Does this story leave room for the team to discover implementation details collaboratively, rather than prescribing exact solutions?"
Options:
- Yes — It's a conversation starter, not a spec
- No — It's too prescriptive (may need reframing)
3. Valuable? "Does this story deliver observable value to a user? (If not, combine it with related work rather than splitting.)"
Options:
- Yes — Users see/experience something different
- No — It's a technical task (not a user story—don't split, reframe)
⚠️ Critical Check: If story fails "Valuable," STOP. Don't split. Instead, combine with other work to create a meaningful increment.
4. Estimable? "Can your team size this story relatively (even if roughly)?"
Options:
- Yes — Team can estimate days/points
- No — Too much uncertainty (may need spike first)
5. Testable? "Does this story have concrete acceptance criteria that QA can verify?"
Options:
- Yes — Clear pass/fail conditions
- No — Needs clearer acceptance criteria (refine before splitting)
If story passes all checks → Proceed to Step 2 (Splitting Patterns) If story fails any check → Fix the issue before splitting
Step 2: Apply Splitting Patterns Sequentially
Work through patterns in order. For each pattern, ask "Does this apply?"
Pattern 1: Workflow Steps
Key insight: Split into thin end-to-end slices, not step-by-step. Start with a simple case covering the full workflow, then add intermediate steps as separate stories.
Agent asks: "Does your epic involve a multi-step workflow where you could deliver a simple case first, then add intermediate steps later?"
Example:
- Original: "Publish content (requires editorial review, legal approval, staging)"
- ❌ Wrong split (step-by-step): Story 1 = Editorial review, Story 2 = Legal approval, Story 3 = Publish
- ✅ Right split (thin end-to-end):
- Story 1: Publish content (simple path: author uploads, content goes live immediately—no reviews)
- Story 2: Add editorial review step (now content waits for editor approval before going live)
- Story 3: Add legal approval step (content waits for legal + editorial before going live)
Each story delivers full workflow, just with increasing sophistication.
Options:
- Yes, multi-step workflow → "Describe the workflow steps"
- No, single step → Continue to Pattern 2
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