incremental-implementation
Delivers changes incrementally in thin, verifiable slices.
Skill by weisser-dev
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: writing, productivity
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What's inside
- Skill name
incremental-implementation- Description
- 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.
- License
- MIT
- Instructions
- 253 lines in SKILL.md · view on GitHub
Files (4)
- LICENSE
- SKILL.md
- UPSTREAM.md
- definition-of-done.md · references/
SKILL.md (first lines)
> Adapted copy of addyosmani/agent-skills (MIT) for local use; changes are listed in `UPSTREAM.md`.
> Ground rules that override anything below: use only tools that are already installed in the project
> (project scripts, `npx --no-install ...`); never let npx/pip/brew download or install anything and never add
> MCP servers on your own; do not fetch web pages or online docs and do not upload or post data anywhere;
> never push, deploy, run migrations, flip feature flags or change shared systems without the user's explicit
> instruction. Commands inside CI/workflow examples are file content to write, not commands to run now.
# 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.From weisser-dev/agentic-skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 3, 2026 (26 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/weisser-dev/agentic-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/weisser-dev-incremental-implementation (last updated 2026-10-24)