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 starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.
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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.
Bootstrap a new agent workflow from scratch, or add a new agent to an existing system.
## Workflow Conventions
### Prompt Format
- Delimiter style: [XML tags / markdown headers / triple-dash]
- Section order: [System → Context → Instructions → Input]
- Output format: [JSON with schema / markdown template]
### Tool Conventions
- Naming: [verb_noun / noun.verb / camelCase]
- Description template: [What → When → When Not → Returns]
- Error format: [{ code, message, details }]
### Logging
- Format: [JSON structured]
- Required fields: [workflow_id, step, timestamp, level]
### File Structure
- Prompts: [prompts/workflow-name/v1.md]
- Tools: [tools/tool-name.{ext}]
- Config: [config/environment.yaml]
- Tests: [tests/workflow-name/]
project/
├── prompts/ # System prompts, versioned
├── tools/ # Tool definitions
├── config/ # Environment-specific configuration
├── tests/ # Golden test sets and evaluation suites
├── logs/ # Runtime logs (gitignored)
└── .maestro.md # Workflow context
After onboarding, run /diagnose for a baseline health check, then /fortify to add production-grade error handling.
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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