feature

Name: feature
Availability: InStock
Author: Sergiu

Coordinate feature lifecycles from spec to closeout with validation checkpoints.

4|Updated Jan 12, 2026

Search Tags:#workflow #templates #verification #spec #tasks #feature #phases

Ready to run

npx skills add https://github.com/SergiuSavva/ai-context-docs-lifecycle --skill feature-sergiusavva

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: feature
Source: https://github.com/SergiuSavva/ai-context-docs-lifecycle/tree/main/content/modules/02-dev-workflow/skills/feature
Command: npx skills add https://github.com/SergiuSavva/ai-context-docs-lifecycle --skill feature-sergiusavva

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Feature lifecycle management for AI-assisted development is unclear and error-prone without a structured, repeatable workflow.

Core Features & Use Cases

Phase routing and task tracking from spec to closeout with validation checkpoints.
Project state inspection and decision-tree guidance to determine the next actionable step.
Templates and phase scaffolds to standardize specs, tasks, and verification.

Quick Start

Activate the feature lifecycle skill and ask for the next recommended phase using the routing commands, e.g., /feature spec when starting a new feature.

Frequently Asked Questions about feature

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

FAQPage Schema

How do I manage feature lifecycles in AI-assisted development?▼

Orchestrate feature lifecycles by routing tasks through structured phases from spec to closeout. The skill applies state inspections and guided task validation checkpoints to ensure consistent execution across AI-assisted development workflows.

What is the best way to structure feature phases from spec to closeout?▼

Structure feature phases using standardized templates and phase scaffolds. The skill applies frontmatter-defined metadata and verification checkpoints to guide task tracking and validation through every lifecycle stage from spec to closeout.

How do I track the next actionable step in a feature workflow?▼

Track the next actionable step using project state inspection and decision-tree guidance. The skill evaluates the current workflow state and recommends the next phase, such as starting a new spec using routing commands.

Can I use feature templates for task validation in existing projects?▼

Yes, you can use templates for task validation in existing projects. The skill applies phase scaffolds and verification checkpoints to standardize specs and tasks, ensuring guided validation across any current project state.

When do I need built-in verification checkpoints for feature development?▼

You need built-in verification checkpoints when coordinating end-to-end feature lifecycles requiring structured phases. They ensure consistent execution by validating tasks at each stage before advancing to the next phase.

Does this feature lifecycle skill work without external dependencies?▼

Yes, the feature lifecycle skill works without external dependencies. It relies entirely on frontmatter-defined skill metadata, internal phase templates, and state inspections to orchestrate the workflow from spec through closeout.