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About
Use cases: writing, productivity
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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~/.claude/skills/incremental-implementation
What's inside
- Skill name
incremental-implementation- Description
- Delivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use 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.
- License
- MIT
- Instructions
- 242 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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:
1. **Implement** the smallest complete piece of functionality
2. **Test** — run the test suite (or write a test if none exists)
3. **Verify** — confirm the slice works as expected (tests pass, build succeeds, manual check)
4. **Commit** -- save your progress with a descriptive message (see `git-workflow-and-versioning` for atomic commit guidance)
5. **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 readingFrom kevinnft/ai-agent-skills, MIT.
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Signals
- Stars
- 14
- Forks
- 2
- Open issues
- 1
- Last commit (this folder)
- May 15, 2026 (5 months ago)
- Last release
- Jul 22, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/kevinnft/ai-agent-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
incremental-implementation skill. Agent Mart. https://agentmart.dev/skills/kevinnft-incremental-implementation (last updated 2026-10-24)