ADR Decision Extraction FAQs

Question 1

Can I manually flag a statement to ensure it is included in the ADR?

Accepted Answer

Yes, using the explicit marker [ADR] in your conversation will guarantee that the skill extracts the subsequent text with a high confidence rating.

Question 2

How does the skill handle uncertain or implicit decisions?

Accepted Answer

The skill assigns a confidence rating (high, medium, or low) based on the language used. High confidence is given to explicit markers, while lower ratings are given to contextual inferences that may require developer verification.

Question 3

What is the primary purpose of the ADR Decision Extraction skill?

Accepted Answer

It identifies and formalizes technical decisions made during discussions, allowing teams to automatically generate Architecture Decision Records (ADRs) from their natural conversation history.

Question 4

Why is this better than manual ADR writing?

Accepted Answer

It captures the 'why' and the alternatives considered in real-time during the discussion phase, preventing the loss of critical context that often occurs when documentation is written days or weeks later.

Question 5

What specific information does the skill extract?

Accepted Answer

It captures the decision title, the problem being solved, the chosen option, any alternatives discussed, the drivers behind the choice, and the original source context.

ADR Decision Extraction

ADR Decision Extraction

Key Features

Use Cases

Key Features

Use Cases