ado-create-feature_skill

Overview

This skill interactively creates a new Feature work item in Azure DevOps following your organization's configured conventions. It validates the project's Azure DevOps settings, gathers feature details via guided prompts (AI-generated or manual), and creates the Feature with correct fields and HTML-formatted description.

How this skill works

First, the skill checks CLAUDE.md for an Azure DevOps configuration and extracts organization, project, team, area path, iteration path, and naming convention. It then prompts you to choose AI-assisted or manual input, collects and confirms title and description, converts the description to HTML, and calls the work item creation tool to create a Feature in the configured project. Finally, it returns a clear success message with links and next steps.

When to use it

• You need to add a Feature to Azure DevOps that follows team conventions and defaults.
• You want a consistent title format (decimal or descriptive) enforced automatically.
• You prefer AI to draft professional titles and stakeholder-friendly descriptions.
• You want the Feature created with correct Area and Iteration paths without manual copying.
• You need a predictable workflow that produces an Azure DevOps link and next steps.

Best practices

• Run the initialization command to configure Azure DevOps in CLAUDE.md before creating Features.
• Choose AI mode when you have a high-level goal; provide detailed context for better results.
• In Manual mode, follow your naming convention (e.g., '1: Feature Name' for decimal notation).
• Keep the feature description high-level: purpose, user stories it will contain, and stakeholder value.
• Review the generated title and description carefully and override if specifics are required.

Example use cases

• Product manager drafts a new cross-team capability and wants a stakeholder-ready Feature created.
• Engineering lead creates a Feature with correct Area/Iteration defaults for sprint planning.
• PMO standardizes Feature names across projects using the team naming convention.
• A new team member uses AI mode to craft professional titles and summaries for backlog items.