incremental-implementation

Name: incremental-implementation
Availability: InStock
Author: Moberg

Coordinate incremental multi-file implementations with build and test checkpoints per batch.

6|Updated Mar 30, 2026

Search Tags:#code-review #incremental #development-process #test-driven-development #multi-file #batch-execution #build-checks

Ready to run

npx skills add https://github.com/moberghr/mtk-agent-toolkit --skill incremental-implementation-moberghr

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: incremental-implementation
Source: https://github.com/moberghr/mtk-agent-toolkit/tree/main/.claude/skills/incremental-implementation
Command: npx skills add https://github.com/moberghr/mtk-agent-toolkit --skill incremental-implementation-moberghr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate incremental multi-file implementations to ensure each batch compiles, passes tests, and remains explainable, reducing the risk of late-stage failures and drifts between slices.

Core Features & Use Cases

Incremental slicing: break large changes into small, testable batches that compile and pass tests before proceeding.
Deterministic validation: each batch must compile, run tests, and produce a clear, explainable change.
Guidance: follow test-driven development per batch and apply source-driven decisions when framework behavior is uncertain.
Use Case: refactoring a module or implementing a feature across multiple files with staged validation to minimize risk.

Quick Start

Select the next batch, implement the smallest correct slice that compiles and passes tests, then repeat.

Frequently Asked Questions about incremental-implementation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I implement multi-file features incrementally to avoid late-stage build failures?▼

Incremental implementation breaks large multi-file changes into thin slices, ensuring each batch compiles and passes tests before proceeding. This staged validation minimizes drift between slices and reduces the risk of late-stage failures during feature additions or refactors.

What is the best way to validate code batches during a staged refactor?▼

The best way to validate code batches is through strict build-and-test checks for every slice. Each batch must compile, run tests, and produce a clear, explainable change, ensuring deterministic validation before moving to the next implementation slice.

Do I need test-driven development for incremental multi-file implementations?▼

Yes, test-driven development is required per batch for incremental multi-file implementations. Following TDD ensures each slice produces a correct, testable change that compiles and passes tests before subsequent batches are implemented.

How do I handle uncertain framework behavior during incremental development?▼

When framework behavior is uncertain during incremental development, apply source-driven decisions to verify expected outcomes. This ensures each implementation slice remains explainable and deterministic, preventing unpredictable framework behavior from breaking subsequent code batches.

When should I use incremental slicing for feature additions or refactors?▼

Use incremental slicing when implementing features or refactoring modules across multiple files that require staged validation. It is ideal for scenarios where minimizing risk and ensuring each batch remains explainable through strict build and test checkpoints is critical.

Can I batch execute large code changes without running tests between slices?▼

Running tests and build checks between slices is required for incremental multi-file implementations. Bypassing these checkpoints removes deterministic validation and risks late-stage failures, defeating the purpose of staged, test-driven development.