// Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models.
| name | amplify |
| description | Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models. |
| argument-hint | [target area] |
| category | enhancement |
| version | 2.0.0 |
| user-invocable | true |
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. Consult the tool-orchestration reference in the agent-workflow skill for adding tools effectively.
Take a working workflow and make it more capable. Amplification adds new abilities without breaking existing functionality.
Better Prompts
Better Tools
Better Context
Better Models
| Strategy | Cost Impact | Latency Impact | Quality Impact |
|---|---|---|---|
| Better prompts | None | None | Medium-High |
| Better tools | Low | Low-Medium | High |
| Better context (RAG) | Medium | Medium | High |
| Better models | High | Medium-High | High |
After amplification, run /evaluate to verify the new capability works, or /iterate to set up quality monitoring for the enhanced workflow.
NEVER:
Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.
Use when porting a workflow to a different AI provider, deployment environment, model tier, or organizational context.
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.
Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.
Capture a session summary — what was done, what decisions were made, and what to do next.
Use when the workflow needs multi-step processing with sequential, parallel, or conditional tool compositions and proper data flow.