incremental-implementation
Delivers small, testable changes one at a time. Makes it easier to implement new features and fix bugs without breaking everything.
What it does
This skill helps break down large programming tasks into small, manageable steps. It ensures each step is tested and works before moving to the next, making the development process safer and more organized.
When to use it
- ✓When implementing a new feature affecting multiple code parts.
- ✓When a task feels too big to do all at once.
- ✓When refactoring (improving) existing code.
Example of what to ask your AI
“Break down the implementation of the login feature into small steps. First, create the login screen. Then, add email and password validation. Finally, connect it to the authentication system.”
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 idea is to do one small piece at a time: write a bit of code, test if it works, verify it's correct, and save your progress. Repeat this for each small piece until the task is complete.
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 incremental-implementationOr download just the file:
curl -L https://raw.githubusercontent.com/addyosmani/agent-skills/main/skills/incremental-implementation/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Incremental Implementation
Overview
Build in thin vertical slices — implement one piece, test it, verify it, then expand. Avoid implementing an entire feature in one pass. Each increment should leave the system in a working, testable state. This is the execution discipline that makes large features manageable.
When to Use
- Implementing any multi-file change
- Building a new feature from a task breakdown
- Refactoring existing code
- Any time you're tempted to write more than ~100 lines before testing
When NOT to use: Single-file, single-function changes where the scope is already minimal.
The Increment Cycle
┌──────────────────────────────────────┐
│ │
│ Implement ──→ Test ──→ Verify ──┐ │
│ ▲ │ │
│ └───── Commit ◄─────────────┘ │
│ │ │
│ ▼ │
│ Next slice │
│ │
└──────────────────────────────────────┘
For each slice:
- Implement the smallest complete piece of functionality
- Test — run the test suite (or write a test if none exists)
- Verify — confirm the slice works as expected (tests pass, build succeeds, manual check)
- Commit -- save your progress with a descriptive message (see
git-workflow-and-versioningfor atomic commit guidance) - Move to the next slice — carry forward, don't restart
Slicing Strategies
Vertical Slices (Preferred)
Build one complete path through the stack:
Slice 1: Create a task (DB + API + basic UI)
→ Tests pass, user can create a task via the UI
Slice 2: List tasks (query + API + UI)
→ Tests pass, user can see their tasks
Slice 3: Edit a task (update + API + UI)
→ Tests pass, user can modify tasks
Slice 4: Delete a task (delete + API + UI + confirmation)
→ Tests pass, full CRUD complete
Each slice delivers working end-to-end functionality.
Contract-First Slicing
When backend and frontend need to develop in parallel:
Slice 0: Define the API contract (types, interfaces, OpenAPI spec)
Slice 1a: Implement backend against the contract + API tests
Slice 1b: Implement frontend against mock data matching the contract
Slice 2: Integrate and test end-to-end
Risk-First Slicing
Tackle the riskiest or most uncertain piece first:
Slice 1: Prove the WebSocket connection works (highest risk)
Slice 2: Build real-time task updates on the proven connection
Slice 3: Add offline support and reconnection
If Slice 1 fails, you discover it before investing in Slices 2 and 3.
Implementation Rules
Rule 0: Simplicity First
Before writing any code, ask: "What is the simplest thing that could work?"
After writing code, review it against these checks:
- Can this be done in fewer lines?
- Are these abstractions earning their complexity?
- Would a staff engineer look at this and say "why didn't you just..."?
- Am I building for hypothetical future requirements, or the current task?
SIMPLICITY CHECK:
✗ Generic EventBus with middleware pipeline for one notification
✓ Simple function call
✗ Abstract factory pattern for two similar components
✓ Two straightforward components with shared utilities
✗ Config-driven form builder for three forms
✓ Three form components
Three similar lines of code is better than a premature abstraction. Implement the naive, obviously-correct version first. Optimize only after correctness is proven with tests.
Rule 0.5: Scope Discipline
Touch only what the task requires.
Do NOT:
- "Clean up" code adjacent to your change
- Refactor imports in files you're not modifying
- Remove comments you don't fully understand
- Add features not in the spec because they "seem useful"
- Modernize syntax in files you're only reading
If you notice something worth improving outside your task scope, note it — don't fix it:
NOTICED BUT NOT TOUCHING:
- src/utils/format.ts has an unused import (unrelated to this task)
- The auth middleware could use better error messages (separate task)
→ Want me to create tasks for these?
Rule 1: One Thing at a Time
Each increment changes one logical thing. Don't mix concerns:
Bad: One commit that adds a new component, refactors an existing one, and updates the build config.
Good: Three separate commits — one for each change.
Rule 2: Keep It Compilable
…
FAQ
Why break it into small steps?
It makes large tasks less daunting, allows errors to be found earlier, and makes it easier to undo changes if something goes wrong.
What does 'verifiable' mean?
It means that after each step, you can confirm the code works as expected, usually by running tests or checking manually.
Can I make code improvements while breaking down the task?
It's best to focus only on what the task requires. If you notice something that needs improvement outside the scope, note it down to do later, in another task.
Details
Original description by the author
Delivers changes incrementally in thin, verifiable slices. Use when implementing any feature or change that touches more than one file, or when picking up the next task from a plan. Use when rolling a change out behind a feature flag, when you're about to write a large amount of code at once, or when a task feels too big to land in one step.
repo: addyosmani/agent-skills
Popularity
- GitHub stars
- 107k
- Ranking position
- #354
- 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
benchmark-optimization-loop
Has your agent improve something's speed in a measured way. It tests multiple versions and chooses the fastest one that still works correctly.
affaan-m/ECC
change-impact
Helps your agent analyze the impact of code changes before making them. It compares the planned vs. actual results afterward, covering paths, data, tests, and documentation. Useful for risky or system-wide changes.
affaan-m/ECC
click-path-audit
Lets your agent trace all user buttons and interactions to find bugs. It finds issues where functions seem to work alone but fail together. Useful when bugs persist even after debugging.
affaan-m/ECC