Serena Feature Onboarding Wizard FAQs

Question 1

Does this skill support automatic technology detection?

Accepted Answer

Yes, it can automatically detect tech stacks by scanning for files like package.json, composer.json, Cargo.toml, and WordPress-specific style headers.

Question 2

What are 'memories' in the context of this skill?

Accepted Answer

Memories are persistent Markdown files (e.g., FEATURE_KEY.md) created via the Serena MCP that store architectural context, layer definitions, and domain behaviors for Claude to reference in future sessions.

Question 3

Can I use this skill without the Serena Workflow Engine?

Accepted Answer

This skill is specifically designed as part of the Serena ecosystem and requires the Serena MCP tools for memory management and swarm orchestration.

Question 4

What is the difference between Quick Mode and Full Mode?

Accepted Answer

Quick Mode takes approximately 30 seconds and provides minimal memory creation for small features. Full Mode takes 2-5 minutes and utilizes a 10-agent swarm to perform deep architectural analysis and domain extraction.

Question 5

How does the DAA Swarm analysis work?

Accepted Answer

When Full Mode is selected, the skill initializes 10 specialized agents (config-analyzer, architecture-mapper, etc.) to analyze the codebase in parallel and synthesize a complete map of the feature's architecture.

Serena Feature Onboarding Wizard

Key Features

Use Cases

Serena Feature Onboarding Wizard

Key Features

Use Cases