planning-and-task-breakdown
Breaks down large tasks into smaller, organized steps. Helps plan work, estimate time needed, and start big tasks.
What it does
This tool breaks down large work into smaller, organized tasks. It helps understand what needs to be done, in what order, and ensures each step is manageable.
When to use it
- ✓When a project feels too big to start.
- ✓When you need to plan what to do first.
- ✓When multiple people can work on different parts at the same time.
Example of what to ask your AI
“I need to plan the tasks for creating a simple portfolio website with a home, about, and contact page.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool analyzes the described work and divides it into logical steps. It considers dependencies (what needs to be done before something else) and organizes everything into a clear list.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add addyosmani/agent-skills --skill planning-and-task-breakdownOr download just the file:
curl -L https://raw.githubusercontent.com/addyosmani/agent-skills/main/skills/planning-and-task-breakdown/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Planning and Task Breakdown
Overview
Decompose work into small, verifiable tasks with explicit acceptance criteria. Good task breakdown is the difference between an agent that completes work reliably and one that produces a tangled mess. Every task should be small enough to implement, test, and verify in a single focused session.
When to Use
- You have a spec and need to break it into implementable units
- A task feels too large or vague to start
- Work needs to be parallelized across multiple agents or sessions
- You need to communicate scope to a human
- The implementation order isn't obvious
When NOT to use: Single-file changes with obvious scope, or when the spec already contains well-defined tasks.
The Planning Process
Step 1: Enter Plan Mode
Before writing any code, operate in read-only mode:
- Read the spec and relevant codebase sections
- Identify existing patterns and conventions
- Map dependencies between components
- Note risks and unknowns
Do NOT write code during planning. The output is a plan document saved to tasks/plan.md and a task list recorded in the task list target (see Output Files; default tasks/todo.md), not implementation.
Step 2: Identify the Dependency Graph
Map what depends on what:
Database schema
│
├── API models/types
│ │
│ ├── API endpoints
│ │ │
│ │ └── Frontend API client
│ │ │
│ │ └── UI components
│ │
│ └── Validation logic
│
└── Seed data / migrations
Implementation order follows the dependency graph bottom-up: build foundations first.
Step 3: Slice Vertically
Instead of building all the database, then all the API, then all the UI — build one complete feature path at a time:
Bad (horizontal slicing):
Task 1: Build entire database schema
Task 2: Build all API endpoints
Task 3: Build all UI components
Task 4: Connect everything
Good (vertical slicing):
Task 1: User can create an account (schema + API + UI for registration)
Task 2: User can log in (auth schema + API + UI for login)
Task 3: User can create a task (task schema + API + UI for creation)
Task 4: User can view task list (query + API + UI for list view)
Each vertical slice delivers working, testable functionality.
Step 4: Write Tasks
Each task follows this structure, whether it lands in the markdown task list or as an item in an external tracker (see Output Files):
## Task [N]: [Short descriptive title]
**Description:** One paragraph explaining what this task accomplishes.
**Acceptance criteria:**
- [ ] [Specific, testable condition]
- [ ] [Specific, testable condition]
**Verification:**
- [ ] Tests pass: [the repository's focused-test command]
- [ ] Build succeeds: [the repository's build command]
- [ ] Manual check: [description of what to verify]
**Dependencies:** [Task numbers this depends on, or "None"]
**Files likely touched:**
- `src/path/to/file.ts`
- `tests/path/to/test.ts`
**Estimated scope:** [Small: 1-2 files | Medium: 3-5 files | Large: 5+ files]
Step 5: Order and Checkpoint
Arrange tasks so that:
- Dependencies are satisfied (build foundation first)
- Each task leaves the system in a working state
- Verification checkpoints occur after every 2-3 tasks
- High-risk tasks are early (fail fast)
Add explicit checkpoints to the task list target:
## Checkpoint: After Tasks 1-3
- [ ] All tests pass
- [ ] Application builds without errors
- [ ] Core user flow works end-to-end
- [ ] Review with human before proceeding
Task Sizing Guidelines
| Size | Files | Scope | Example |
|---|---|---|---|
| XS | 1 | Single function or config change | Add a validation rule |
| S | 1-2 | One component or endpoint | Add a new API endpoint |
| M | 3-5 | One feature slice | User registration flow |
| L | 5-8 | Multi-component feature | Search with filtering and pagination |
| XL | 8+ | Too large — break it down further | — |
If a task is L or larger, it should be broken into smaller tasks. An agent performs best on S and M tasks.
When to break a task down further:
- It would take more than one focused session (roughly 2+ hours of agent work)
- You cannot describe the acceptance criteria in 3 or fewer bullet points
- It touches two or more independent subsystems (e.g., auth and billing)
…
FAQ
What is 'vertical slicing'?
It means completing a small, whole piece at a time (e.g., creating the entire login page - database, code, screen) instead of doing all the database work, then all the code, then all the screen.
What happens if I already have a plan?
The tool checks if a plan with unfinished tasks already exists. If so, it asks what to do to avoid disrupting ongoing work.
Where are the tasks saved?
Tasks are saved in a file named 'todo.md' within the 'tasks' folder. A more detailed plan might be saved in 'plan.md'.
Details
Original description by the author
Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.
repo: addyosmani/agent-skills
Popularity
- GitHub stars
- 107k
- Ranking position
- #358
- License
- MIT
- Updated
- 10/13/2026
Comments
- …
More skills from this repository
api-and-interface-design
Helps create well-defined APIs and interfaces. It's useful when designing how different parts of software will communicate.
addyosmani/agent-skills
browser-testing-with-devtools
Helps your agent test code directly in real browsers. It's useful for checking how something works in the environment where it will be used, finding errors and performance issues.
addyosmani/agent-skills
ci-cd-and-automation
Teaches your AI agent to automate repetitive tasks and ship projects and manage infrastructure.
addyosmani/agent-skills
code-review-and-quality
Performs detailed code reviews on multiple fronts. It's useful before merging new changes to ensure quality and prevent future problems.
addyosmani/agent-skills
Similar skills
carrier-relationship-management
Manages relationships with carriers. It helps negotiate freight rates, evaluate performance, and build transportation strategies.
affaan-m/ECC
cost-tracking
Tracks and reports agent token usage and costs. It's useful for efficiently controlling spending and budgets.
affaan-m/ECC
plan-canvas
Opens plans and artifacts in a browser window for you to comment on. It makes giving visual feedback on needed changes easier.
affaan-m/ECC