Meta-Prompt Architect FAQs

Question 1

How does the skill handle task dependencies?

Accepted Answer

It automatically scans the .prompts directory for existing research and plans, building a dependency graph to determine the correct execution order (Sequential or Parallel).

Question 2

Why does every execution generate a SUMMARY.md file?

Accepted Answer

While the main outputs are XML-structured for AI parsing, the SUMMARY.md provides a substantive, human-readable overview of findings, decisions, and next steps.

Question 3

What is a meta-prompt in this context?

Accepted Answer

A meta-prompt is a specialized instruction designed to generate output that serves as a structured input for another AI agent, enabling complex Claude-to-Claude communication chains.

Question 4

Where are the generated prompts and artifacts stored?

Accepted Answer

All artifacts are organized in a local .prompts/ folder, using a numbered kebab-case naming convention (e.g., 001-auth-research) to track project progression.

Question 5

What are the four primary purposes of the prompts created?

Accepted Answer

The skill categorizes prompts into: Research (gathering info), Plan (strategy/roadmap), Do (task execution/coding), and Refine (iterating on existing work).

Meta-Prompt Architect

Key Features

Use Cases

Meta-Prompt Architect

Key Features

Use Cases