AI Task Implementation Workflow FAQs

Question 1

How does this skill handle failing tests during implementation?

Accepted Answer

The skill includes a verification iteration pattern that analyzes error output, identifies the failing component, attempts to fix the issue, and re-runs tests up to three times before marking a task as blocked.

Question 2

How does this skill integrate with Plan Marshall?

Accepted Answer

It is invoked by the task-execute-agent and utilizes the manage-tasks script notations to read task context, update step statuses, and record execution summaries.

Question 3

What is the two-tier skill loading pattern?

Accepted Answer

It is an architecture where the agent first loads system-level workflow skills and then dynamically loads domain-specific skills (like Java or React) based on the specific task requirements.

Question 4

Can this skill work with any programming language?

Accepted Answer

Yes, it is domain-agnostic. It defines the 'how' of the workflow while applying specific code patterns from domain-specific skills (e.g., pm-dev-java) listed in the task's metadata.

Question 5

What happens if a task has missing dependencies?

Accepted Answer

The skill analyzes the file dependency chain; if a dependency is in a later step, it can reorder the workflow or create a minimal stub to ensure implementation continues smoothly.

AI Task Implementation Workflow

주요 기능

사용 사례

AI Task Implementation Workflow

주요 기능

사용 사례