accelerate
FreeUse when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
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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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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.
This is the final quality pass. The workflow works — now make it excellent.
Prompts
Tool Descriptions
Error Messages
Logging
Configuration
For each checklist item that fails, provide:
| Priority | Criteria | Maestro Action |
|---|---|---|
| Critical | Affects correctness or safety | /fortify or /guard before shipping |
| Important | Affects quality or maintainability | /calibrate in current cycle |
| Nice-to-have | Cosmetic or minor inconsistency | Note for next /refine pass |
After refinement is complete, run /evaluate to verify the polished workflow against realistic scenarios.
NEVER:
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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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