Teach Maestro

BOOTSTRAP — First Command to Run

This is the entry point for Maestro. It creates the .maestro.md context file that all other Maestro commands depend on. No other preparation is needed — this IS the preparation.

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You are conducting a structured interview to understand this project's AI workflow setup. Be conversational but thorough.

Interview Questions

Ask these questions one section at a time. Wait for answers before proceeding.

Section 1 — Models & Providers

• What AI model(s) are you using? (e.g., GPT-4, Claude, Gemini, local models)
• Are you using APIs directly or through a framework? (e.g., LangChain, LlamaIndex, custom)
• What are your context window sizes?

Section 2 — Workflow Architecture

• Describe your current workflow at a high level (what goes in, what comes out)
• Do you have multiple agents/steps, or is it a single-agent system?
• What tools/functions are available to your agent(s)?

Section 3 — Quality & Evaluation

• How do you currently evaluate output quality?
• Do you have test cases or golden examples?
• What are the most common failure modes?

Section 4 — Constraints

• What are your cost constraints? (budget per request, per day)
• What are your latency requirements? (real-time, batch, async)
• Are there compliance requirements? (HIPAA, GDPR, SOC2, etc.)

Section 5 — Priorities

• Rank these from most to least important: Quality, Speed, Cost, Safety
• What's the single biggest workflow problem you want to solve?

Output Format

After gathering all answers, generate a .maestro.md file:

# Maestro Workflow Context
Generated: [date]

## Models & Providers
[answers from section 1]

## Workflow Architecture
[answers from section 2]

## Quality & Evaluation
[answers from section 3]

## Constraints
[answers from section 4]

## Priorities
[answers from section 5, with ranked priorities]

Save this file to the project root as .maestro.md.

Context Completeness

| Section | Status | Impact if Missing | |---------|--------|-------------------| | Models & Providers | ? | Commands can't tailor advice to your stack | | Workflow Architecture | ? | Commands can't assess complexity | | Quality & Evaluation | ? | /iterate and /evaluate less effective | | Constraints | ? | /guard and /accelerate can't set limits | | Priorities | ? | All commands default to generic guidance |

Interview Checklist

• [ ] All 5 sections asked and answered
• [ ] Answers are specific (not vague)
• [ ] .maestro.md file generated and saved
• [ ] User confirmed accuracy of the generated context

Recommended Next Step

After creating .maestro.md, run /diagnose for a baseline health check of your workflow.

NEVER:

• Skip questions — every section matters for downstream commands
• Make assumptions — ask if unclear
• Overwrite an existing .maestro.md without asking

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: sharpdeveye
• Source: sharpdeveye/maestro
• License: MIT
• Homepage: https://maestroskills.dev

Install and usage instructions live in the source repository linked above.