calibrate
MANDATORY PREPARATION
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 prompt-engineering reference in the agent-workflow skill for naming and style consistency patterns.
Ensure consistency across all workflow components. Inconsistency creates confusion — for the model, for developers, and for users.
Calibration Dimensions
Naming Conventions
- Tool names follow consistent pattern (verb_noun, noun.verb, or camelCase — pick one)
- Agent names follow consistent pattern
- Configuration keys follow consistent pattern
- File names follow consistent pattern
More from sharpdeveye/maestro
agent-workflow
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.
149evaluate
Use when the user wants a quality review, interaction audit, or to test the workflow against realistic scenarios.
147diagnose
Use when the user wants to find problems, audit workflow quality, or get a comprehensive health check on their AI workflow.
147teach-maestro
Use when starting a new project with Maestro or when no .maestro.md context file exists yet. Run once per project.
140iterate
Use when the workflow needs to self-correct, improve over time, or establish feedback loops and evaluation cycles.
140fortify
Use when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.
140