L’Mehdi

Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.

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Use when porting a workflow to a different AI provider, deployment environment, model tier, or organizational context.

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Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and guardrails.

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Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models.

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Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.

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Capture a session summary — what was done, what decisions were made, and what to do next.

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Use when the workflow needs multi-step processing with sequential, parallel, or conditional tool compositions and proper data flow.

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Use when a single agent demonstrably cannot handle the task and multi-agent coordination is justified.

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Use when the user wants to find problems, audit workflow quality, or get a comprehensive health check on their AI workflow.

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Use when the agent needs access to information beyond its training data — knowledge sources, RAG pipelines, or grounding data.

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Use when the user wants a quality review, interaction audit, or to test the workflow against realistic scenarios.

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Use when the user wants to create templates, extract reusable patterns, document solutions, or build a pattern library from working workflows.

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Use when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.

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Use when deploying to production, handling sensitive data, or the workflow needs safety constraints, input validation, and security boundaries.

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Use when the workflow needs to self-correct, improve over time, or establish feedback loops and evaluation cycles.

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Use when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.

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Quick summary of the last session — commands run, files changed, and what to do next.

中文简介正在准备中。当前显示原文说明。

Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.

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Analyze command history to identify which skills work, which fail, and where to improve.

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Use when the user wants to tailor a workflow for a specific industry, domain, or vertical with specialized expertise, terminology, and guardrails.

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Use when the workflow feels too complex, has accumulated cruft, or has redundant steps and overlapping tools that need consolidation.

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Use when starting a new project with Maestro or when no .maestro.md context file exists yet. Run once per project.

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Use when the workflow feels over-engineered, has premature optimizations, unnecessary abstraction layers, or complexity beyond actual requirements.

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Use when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing.

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