Verified:GitHub

incremental-implementation

Deliver one thin, verified, reversible implementation slice at a time.

Updated Apr 27, 2026

Search Tags:#rollback #test strategy #code safety #incremental delivery #software refactoring #verified slice #evidence discipline

Ready to run

npx skills add https://github.com/vTRKA/supervibe --skill incremental-implementation-vtrka

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: incremental-implementation
Source: https://github.com/vTRKA/supervibe/tree/main/skills/incremental-implementation
Command: npx skills add https://github.com/vTRKA/supervibe --skill incremental-implementation-vtrka

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Incremental Implementation prevents AI-assisted coding from turning into large, confusing changes by forcing work into small, reversible, verifiable delivery slices with explicit evidence.

Core Features & Use Cases

Thin verified implementation slices: Break features, fixes, refactors, migrations, or UI/API behavior into one observable, reversible slice at a time.
Evidence-first safety discipline: Require memory/CodeGraph/source checks, targeted verification, and explicit checkpointing before claiming completion.
Scope control and rollback readiness: Keep the write set narrow, avoid opportunistic refactors, and define rollback mechanisms (revert, flag disable, adapter removal, or migration backout).

Quick Start

Tell your AI tool to implement the next smallest reversible slice for your requested change and run targeted verification for that slice before you approve the next step.

Frequently Asked Questions about incremental-implementation

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

FAQPage Schema

How do I prevent AI-assisted coding from creating large, confusing changes?▼

You can prevent large, confusing changes by using incremental implementation to break AI-assisted coding into small, reversible, verifiable delivery slices with explicit evidence. This approach maintains code safety by requiring targeted verification before approving the next step.

What is a verified implementation slice for software refactoring?▼

A verified implementation slice is a thin, observable, and reversible unit of work used for software refactoring, migrations, or feature delivery. It requires running scoped verification and checkpointing evidence before claiming completion, ensuring existing behavior is preserved throughout the process.

How do I implement a reversible slice for an API schema migration?▼

To implement a reversible slice for an API schema migration, deliver one observable change at a time while preserving existing behavior. Run scoped verification, checkpoint evidence, and define rollback mechanisms like adapter removal or migration backout before producing an implementation-slice-report with PASS or PARTIAL status.

How do you keep the write set narrow during incremental feature delivery?▼

Keeping the write set narrow during incremental feature delivery involves avoiding opportunistic refactors and focusing on one thin slice at a time. This scope control ensures changes remain reversible and explicitly checkpointed with evidence discipline before moving forward.

Do I need a test strategy to verify every incremental code slice?▼

Yes, a test strategy is required to verify every incremental code slice. The process demands targeted verification and evidence discipline, checkpointing results to ensure each slice passes scoped tests before claiming completion and moving to the next step safely.

What rollback mechanisms work best for incremental UI runtime changes?▼

Effective rollback mechanisms for incremental UI runtime changes include reverting commits, disabling feature flags, or removing adapters. These options ensure the implementation slice remains reversible if scoped verification fails or existing behavior is compromised during delivery.