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Task Decomposition

  • 568 installs
  • 133 repo stars
  • Updated February 24, 2026
  • jwynia/agent-skills

task-decomposition is a v1.0 agent skill that splits overwhelming features into small, estimable, independent tasks for developers who cannot scope epics or resolve dependency problems before implementation.

About

task-decomposition is a MIT-licensed utility skill at version 1.0 in jwynia/agent-skills that transforms overwhelming development work into manageable units. The diagnostic applies INVEST principles, vertical slices, spikes, and dependency analysis when users say a task is too big, cannot estimate, or needs epic breakdown. The skill integrates with github-agile for tracking decomposed work and runs in assistive mode on any project. Activate on keywords like decomposition, breakdown, estimate, scope, dependencies, or phrases like where do I start. Reach for task-decomposition when an agent or developer faces a monolithic feature that blocks estimation and needs independently completable chunks.

  • Transforms 'task too big' or 'where do I start' moments into clear, actionable units
  • Respects cognitive limits to create tasks that are understandable yet deliver value
  • Applies INVEST criteria and vertical-slice thinking for dependency-free work
  • Reduces scope creep and enables parallel agent execution
  • Integrates with github-agile for tracking decomposed work

Task Decomposition by the numbers

  • 568 all-time installs (skills.sh)
  • +7 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #702 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jwynia/agent-skills --skill task-decomposition

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Listed on Skillselion
Installs568
repo stars133
Security audit3 / 3 scanners passed
Last updatedFebruary 24, 2026
Repositoryjwynia/agent-skills

How do you break an epic into estimable tasks?

Break down overwhelming features or epics into small, estimable, independent tasks that an agent can complete without constant clarification.

Who is it for?

Developers and coding agents facing un-estimable epics who need INVEST-governed slices before writing implementation code.

Skip if: Already-scoped tickets ready for immediate implementation where decomposition workshops would only delay delivery.

When should I use this skill?

User says task too big, can't estimate, overwhelmed by scope, where do I start, epic needs breakdown, or mentions dependency problems.

What you get

INVEST-scored task list with vertical slices, spike items, dependency map, and github-agile tracking hooks.

  • decomposed task list
  • dependency map

By the numbers

  • Skill version 1.0 in jwynia/agent-skills repository

Files

SKILL.mdMarkdownGitHub ↗

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

LimitThresholdImplication
Working memory7±2 itemsMax concepts per task
Context switch recovery23 minutesMinimize task switching
Files examined15-20 maxBound task scope
Days before completion drops2-3 daysKeep tasks under this

Task Duration Success Rates

DurationCompletion Rate
< 2 hours95%
2-4 hours90%
4-8 hours (1 day)80%
2-3 days60%
1 week35%
> 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)

PointsMeaning
1Trivial, < 1 hour
2Simple, 1-2 hours
3Standard, 2-4 hours
5Moderate, 4-8 hours
8Complex, 1-2 days
13Very complex, 2-3 days
21Too 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

Related skills

How it compares

Choose task-decomposition over generic planning when the blocker is un-estimable scope and INVEST-governed slices with dependency maps are needed.

FAQ

What framework does task-decomposition use?

task-decomposition applies INVEST principles, vertical slices, spikes, and dependency analysis to split overwhelming work into independently estimable tasks. The v1.0 skill runs in assistive mode and integrates with github-agile for tracking.

When should task-decomposition activate?

task-decomposition activates when a developer or agent reports a task is too big, cannot estimate scope, feels overwhelmed, or has dependency problems blocking a clear starting point on an epic.

Is Task Decomposition safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

Productivity & Planningintegrationstesting

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