PL

planning-and-task-breakdown

Decompose complex tasks into small, verifiable units of work.

Install

mkdir -p .claude/skills/planning-and-task-breakdown && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13096" && unzip -o skill.zip -d .claude/skills/planning-and-task-breakdown && rm skill.zip

Installs to .claude/skills/planning-and-task-breakdown

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

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.
237 chars✓ has a “when” trigger
Intermediate

Key capabilities

  • Decompose work into small, verifiable tasks
  • Identify existing patterns and conventions in a codebase
  • Map dependencies between components
  • Slice features vertically for implementation
  • Write tasks with descriptions, acceptance criteria, and verification steps
  • Order tasks to satisfy dependencies and ensure working states

How it works

The skill operates in a read-only plan mode to identify dependencies and then slices work vertically into small, verifiable tasks.

Inputs & outputs

You give it
A specification or clear requirements
You get back
A plan document with ordered tasks, acceptance criteria, and checkpoints

When to use planning-and-task-breakdown

  • Breaking down a large feature
  • Estimating development scope
  • Mapping task dependencies

About this skill

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, 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:

## Task [N]: [Short descriptive title]

**Description:** One paragraph explaining what this task accomplishes.

**Acceptance criteria:**
- [ ] [Specific, testable condition]
- [ ] [Specific, testable condition]

**Verification:**
- [ ] Tests pass: `npm test -- --grep "feature-name"`
- [ ] Build succeeds: `npm run build`
- [ ] 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:

  1. Dependencies are satisfied (build foundation first)
  2. Each task leaves the system in a working state
  3. Verification checkpoints occur after every 2-3 tasks
  4. High-risk tasks are early (fail fast)

Add explicit checkpoints:

## 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

SizeFilesScopeExample
XS1Single function or config changeAdd a validation rule
S1-2One component or endpointAdd a new API endpoint
M3-5One feature sliceUser registration flow
L5-8Multi-component featureSearch with filtering and pagination
XL8+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)
  • You find yourself writing "and" in the task title (a sign it is two tasks)

Plan Document Template

# Implementation Plan: [Feature/Project Name]

## Overview
[One paragraph summary of what we're building]

## Architecture Decisions
- [Key decision 1 and rationale]
- [Key decision 2 and rationale]

## Task List

### Phase 1: Foundation
- [ ] Task 1: ...
- [ ] Task 2: ...

### Checkpoint: Foundation
- [ ] Tests pass, builds clean

### Phase 2: Core Features
- [ ] Task 3: ...
- [ ] Task 4: ...

### Checkpoint: Core Features
- [ ] End-to-end flow works

### Phase 3: Polish
- [ ] Task 5: ...
- [ ] Task 6: ...

### Checkpoint: Complete
- [ ] All acceptance criteria met
- [ ] Ready for review

## Risks and Mitigations
| Risk | Impact | Mitigation |
|------|--------|------------|
| [Risk] | [High/Med/Low] | [Strategy] |

## Open Questions
- [Question needing human input]

Parallelization Opportunities

When multiple agents or sessions are available:

  • Safe to parallelize: Independent feature slices, tests for already-implemented features, documentation
  • Must be sequential: Database migrations, shared state changes, dependency chains
  • Needs coordination: Features that share an API contract (define the contract first, then parallelize)

Common Rationalizations

RationalizationReality
"I'll figure it out as I go"That's how you end up with a tangled mess and rework. 10 minutes of planning saves hours.
"The tasks are obvious"Write them down anyway. Explicit tasks surface hidden dependencies and forgotten edge cases.
"Planning is overhead"Planning is the task. Implementation without a plan is just typing.
"I can hold it all in my head"Context windows are finite. Written plans survive session boundaries and compaction.

Red Flags

  • Starting implementation without a written task list
  • Tasks that say "implement the feature" without acceptance criteria
  • No verification steps in the plan
  • All tasks are XL-sized
  • No checkpoints between tasks
  • Dependency order isn't considered

Verification

Before starting implementation, confirm:

  • Every task has acceptance criteria
  • Every task has a verification step
  • Task dependencies are identified and ordered correctly
  • No task touches more than ~5 files
  • Checkpoints exist between major phases
  • The human has reviewed and approved the plan

See Also

Acceptance criteria are per-task and answer "did we build the right thing?". They sit on top of the project-wide Definition of Done, the standing bar every task clears before it counts as done. See references/definition-of-done.md.

When not to use it

  • When a single-file change has obvious scope
  • When the specification already contains well-defined tasks

Limitations

  • Does not write code during planning
  • Tasks larger than 'L' size (5-8 files) should be broken down further
  • Does not automatically apply candidate pools to blueprints_template.ini

How it compares

This workflow explicitly structures tasks with acceptance criteria and verification steps, unlike a generic approach that might omit these details.

Compared to similar skills

planning-and-task-breakdown side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
planning-and-task-breakdown (this skill)01moNo flagsIntermediate
trello412moReviewBeginner
executing-plans63moNo flagsIntermediate
github-project-management46moReviewAdvanced

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