prompt-master

Automating prompt engineering workflows across multiple repositories requires an orchestration skill that coordinates subagents, classifies domains, and routes tasks. It generates briefs, validates quality, and activates relevant skills like ui-ux-pro-max or documentation-sync automatically.

Adaptive routing for task briefing uses a learning loop with supermemory to classify domains and select optimal prompt generation skills. It automatically activates relevant skills based on recognized patterns from prior executions to improve future task routing.

Classifying task domains before routing to prompt generation skills is handled by a domain-classifier component. It analyzes input, categorizes the domain, and triggers appropriate skills like intelligent-prompt-generator to create and validate task briefs.

Yes, you can coordinate subagents for multi-repo feature design automatically using the auto-trigger workflow. It orchestrates task briefing, selects optimal skills, and coordinates execution across repositories without requiring manual intervention.

Prompt orchestration supports both manual-trigger and auto-trigger workflows. You can initiate task briefing and subagent coordination manually, or let the system automatically classify domains, generate briefs, and route to skills based on input.

The limitations of using a meta-skill for prompt analysis and routing include dependency on the domain-classifier, intelligent-prompt-generator, and prompt-analyzer components. It relies on supermemory for adaptive learning, requiring prior task patterns to optimize routing effectively.