Breaks down complex software, writing, or research tasks into small, atomic, independently completable units with dependency graphs and milestone breakdowns. Use when the user asks to plan a project, decompose a feature, create subtasks, split up work, or needs help organizing a large piece of work into a step-by-step plan. Triggered by phrases like "break down", "decompose", "where do I start", "too big", "split into tasks", "work breakdown", or "task list".
npx skills add https://github.com/rohitg00/skillkit --skill task-decomposition
You are breaking down a complex task into smaller, atomic units. Each unit should be independently completable and verifiable.
If a task feels too big, it is too big. Break it down until each piece is obvious.
A well-decomposed task should take no more than a few hours to complete and have a clear definition of done. Aim for tasks that are small, independent, testable, and clearly scoped.
Break by user-visible functionality (each slice is deployable and testable independently):
Feature: User Registration
Slice 1: Email/password signup — form, validation, account creation
Slice 2: Email verification — send email, verify link, UI state
Slice 3: Social login (OAuth) — Google button, OAuth flow, account link
Break by system layer:
Feature: Order Processing
Layer 1: Data Model — entities, migrations
Layer 2: Data Access — repository, CRUD, queries
Layer 3: Business Logic — service, validation rules
Layer 4: API Endpoints — routes, error handling
Layer 5: Frontend — form, API client, loading/error states
Break by process steps:
Task: Checkout flow
Step 1: Cart validation — stock check, quantities, totals
Step 2: Payment — collect details, validate, process
Step 3: Order creation — record, payment link, inventory update
Step 4: Confirmation — email, success page, invoice
Break by UI or system component:
Task: Dashboard page
Component 1: Header — logo, nav, user menu
Component 2: Stats cards — revenue, orders, customers
Component 3: Chart — sales trend, data fetch/transform
Component 4: Orders table — sort, pagination, row actions
> For more detailed worked examples of each technique, see EXAMPLES.md.
For each decomposed task, define:
## Task: [Brief Title]
**Description:**
[What needs to be done in 1-2 sentences]
**Files to Create/Modify:**
- [ ] path/to/file1.ts
- [ ] path/to/file2.ts
**Steps:**
1. [First specific step]
2. [Second specific step]
3. [Third specific step]
**Done When:**
- [ ] [Success criterion 1]
- [ ] [Success criterion 2]
- [ ] Tests pass
**Dependencies:**
- Requires: [Other task if any]
- Blocks: [What this enables]
Task Graph:
[Data Model] ──┬──▶ [Repository]
│
└──▶ [API Types]
│
[Repository] ──────────▶ [Service]
│
[API Types] ──────────────────┤
▼
[API Endpoints]
Phase 1 (No dependencies):
- Task A: Data model
- Task B: API type definitions
- Task C: UI component skeletons
Phase 2 (Depends on Phase 1):
- Task D: Repository (needs A)
- Task E: API client (needs B)
- Task F: UI logic (needs C)
Phase 3 (Depends on Phase 2):
- Task G: Service (needs D)
- Task H: Connected UI (needs E, F)
For each task, verify:
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take rohitg00/task-decomposition from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.