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    jwynia

    task-decomposition

    jwynia/task-decomposition
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    SKILL.md

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    About

    Transform overwhelming development tasks into manageable units...

    SKILL.md

    Task Decomposition Diagnostic

    Transform overwhelming development tasks into manageable units by respecting cognitive limits, creating clear boundaries, and enabling parallel work. Tasks properly decomposed achieve 3x higher completion rates and 60% fewer defects.

    When to Use This Skill

    Use this skill when:

    • A task feels too big to estimate
    • Unsure where to start
    • Blocked by dependencies
    • Task keeps growing (scope creep)
    • Need to break down an epic or feature

    Do NOT use this skill when:

    • Task is already small and clear
    • Doing implementation work
    • Architecture decisions needed (use system-design)

    Core Principle

    The goal isn't more tasks—it's the right tasks. Tasks small enough to understand completely, large enough to deliver value, independent enough to avoid blocking.

    Quick Reference: Cognitive Limits

    Limit Threshold Implication
    Working memory 7±2 items Max concepts per task
    Context switch recovery 23 minutes Minimize task switching
    Files examined 15-20 max Bound task scope
    Days before completion drops 2-3 days Keep tasks under this

    Task Duration Success Rates

    Duration Completion Rate
    < 2 hours 95%
    2-4 hours 90%
    4-8 hours (1 day) 80%
    2-3 days 60%
    1 week 35%
    > 2 weeks <10%

    Diagnostic States

    TD1: Too Big to Understand

    Symptoms: Estimates range wildly, can't hold all requirements in mind, more than 7 concepts to track

    Interventions:

    • Apply INVEST criteria: Independent, Negotiable, Valuable, Estimable, Small, Testable
    • Use vertical slicing (each slice is independently deployable)
    • Apply walking skeleton (minimal end-to-end first)

    TD2: No Clear Entry Point

    Symptoms: Multiple valid starting points, paralysis, everything seems connected

    Interventions:

    • Front-load risk: start with highest-uncertainty items
    • Tracer bullet: minimal proof of concept
    • Find the walking skeleton: thinnest slice through all layers

    TD3: Dependency Problems

    Symptoms: "Blocked on X", diamond dependencies, coordination overhead

    Interventions:

    • Interface contracts: define API, mock while implementing
    • Feature flags: deploy independently, enable when ready
    • Branch by abstraction: create layer, swap implementations

    TD4: No Clear Done Criteria

    Symptoms: "Almost done" forever, no way to verify completion

    Interventions:

    • Define acceptance criteria (Given/When/Then)
    • Time-box to force prioritization
    • Define explicit out-of-scope items

    TD5: Scope Creep

    Symptoms: Task keeps growing, "while we're here" additions

    Interventions:

    • Freeze scope, spawn new tasks for additions
    • Define minimum viable version
    • Ship smallest version that solves the problem

    TD6: Need Spike First

    Symptoms: Estimate variance > 4x, new technology, multiple approaches

    Interventions:

    • Time-boxed spike (8 hours max)
    • Deliverables: options, POC, trade-offs, revised estimate
    • Spike then implement pattern

    Decomposition Patterns

    Vertical Slicing (Preferred for Features)

    Feature: User Profile Management
    
    Slice 1: View basic profile (4h)
      - UI: Profile display
      - API: GET /profile
      - DB: Read profile
    
    Slice 2: Edit profile name (6h)
      - UI: Edit dialog
      - API: PATCH /profile/name
      - DB: Update profile
    
    Each slice is independently deployable
    

    Walking Skeleton (For New Systems)

    Minimal end-to-end first:
    1. Hello World page
    2. One GET endpoint
    3. Single table
    4. Basic deploy
    
    Then flesh out incrementally
    

    Tracer Bullet (Validate Architecture)

    Step 1: Minimal Service A (1h) - Hardcoded response
    Step 2: Minimal Service B (1h) - Simple transformation
    Step 3: Integrate (2h) - Prove they communicate
    
    Total: 4 hours to decision point
    

    Estimation Techniques

    Complexity Sizing (Fibonacci)

    Points Meaning
    1 Trivial, < 1 hour
    2 Simple, 1-2 hours
    3 Standard, 2-4 hours
    5 Moderate, 4-8 hours
    8 Complex, 1-2 days
    13 Very complex, 2-3 days
    21 Too large, must decompose

    Three-Point Estimation

    O = Optimistic (everything perfect)
    L = Likely (normal case)
    P = Pessimistic (major issues)
    
    PERT estimate: (O + 4L + P) / 6
    

    Anti-Patterns

    Big Bang Delivery

    Building complete system before any delivery. Fix: Vertical slices, incremental value.

    Technical Tasks Without Value

    "Set up database," "Create service layer." Fix: Include in feature tasks: "User can view products (includes DB)."

    Research Forever

    Unbounded investigation. Fix: Time-boxed spikes with deliverables.

    Perfect Decomposition

    Over-analyzing before starting. Fix: Decompose next 2 weeks. Details for later work emerge.

    Decomposition Checklist

    Before starting any task:

    • Can hold all requirements in working memory?
    • Duration under 2-3 days?
    • Clear acceptance criteria exist?
    • Dependencies identified and broken where possible?
    • Can be completed independently?
    • Delivers verifiable value?
    • Estimate confidence is high?

    If any "no" → further decomposition needed.

    Related Skills

    • github-agile - Track decomposed work as issues
    • system-design - Understand architectural boundaries
    • requirements-analysis - Clarify unclear requirements
    • code-review - Review after implementation
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