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 user wants to create templates, extract reusable patterns, document solutions, or build a pattern library from working workflows.
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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.
Turn working solutions into reusable patterns. Every successful workflow contains patterns that are applicable beyond their original context.
Review the workflow and identify components that:
Transform the specific solution into a reusable template:
From specific → To general pattern:
## Pattern: [Name]
**Problem**: What recurring problem does this solve?
**When to use**: When is this pattern appropriate?
**When NOT to use**: When is this pattern inappropriate?
**Template**: Copy-pastable starting point with customization markers.
**Variants**: Common variations for different contexts.
**Pitfalls**: What went wrong during development and how it was fixed.
**Examples**: 1-2 concrete examples.
| Workflow Element | Extract As |
|---|---|
| Effective prompt structure | Prompt template with customization points |
| Tool chain that works well | Pipeline pattern with data flow diagram |
| Error handling strategy | Resilience pattern with implementation guide |
| Evaluation approach | Quality assurance pattern with scoring rubric |
| Context management technique | Context pattern with budget guidance |
| Agent coordination protocol | Orchestration pattern with handoff templates |
After extracting patterns, run /calibrate to ensure the new patterns are consistent with existing project conventions.
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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