incremental-implementation

Decompose multi-day features into independently deployable increments with migration plans.

Updated Aug 27, 2026

Search Tags:#planning #branching #risk-management #incremental #feature-flag #slicing #deployable

Ready to run

npx skills add https://github.com/HTRamsey/claude-config --skill incremental-implementation

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides breaking multi-day features into deployable increments so each commit on main is a safe, value-delivering unit.

Core Features & Use Cases

Vertical slicing: Prioritize end-to-end increments that deliver value in a single deployable unit.
INVEST criteria: Ensure each increment is Independent, Negotiable, Valuable, Estimable, Small, and Testable.
Backward compatibility: Plan safe migrations and deprecations as you increment.

Quick Start

Break a feature into a series of small, independently deployable increments (e.g., UI, API, DB) and implement them one by one with clear MVPs.

Frequently Asked Questions about incremental-implementation

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

FAQPage Schema

How do I break a large feature into deployable increments?▼

Decompose multi-day features into independently deployable increments by applying vertical slicing—deliver end-to-end value in each small unit across UI, API, backend, and database layers. Each increment should be <500 lines, testable, and safe to deploy to main without blocking other work.

What is vertical slicing and why does it matter for feature delivery?▼

Vertical slicing prioritizes complete, thin cuts through all layers of your system rather than building one layer at a time. Each slice delivers measurable value and can deploy independently, reducing risk and enabling faster feedback cycles across your team.

How do I use feature flags with incremental deployment?▼

Feature flags gate incomplete work behind toggles so code ships to main and production safely before the feature is user-visible. Plan the flag lifecycle upfront—when to enable, disable, and remove it—and pair it with clear rollout and backout strategies.

What planning do I need before starting incremental implementation?▼

Define explicit dependencies between increments, establish clear success criteria for each unit, and plan backward-compatible migrations upfront. Document your backout strategy so each increment can be safely rolled back if needed.

Can I use incremental implementation with existing data migrations?▼

Yes. Plan migrations as part of your increment strategy—deploy schema changes, backfill data, and toggle feature flags in separate, sequenced steps so each deployment is independently safe and reversible without downtime.

What size should each increment be?▼

Each increment should be under 500 lines and independently deployable. Use the INVEST criteria—Independent, Negotiable, Valuable, Estimable, Small, and Testable—to ensure each unit delivers focused value and can be reviewed, tested, and deployed without dependencies on unreleased work.