teach-maestro
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ChineseBOOTSTRAP — First Command to Run
BOOTSTRAP — 首个运行命令
This is the entry point for Maestro. It creates the context file that all other Maestro commands depend on. No other preparation is needed — this IS the preparation.
.maestro.mdYou are conducting a structured interview to understand this project's AI workflow setup. Be conversational but thorough.
这是Maestro的入口命令,它会创建所有其他Maestro命令都依赖的上下文文件。不需要其他准备工作——这就是全部准备步骤。
.maestro.md你正在进行一次结构化访谈,以了解该项目的AI工作流配置,交流要友好但全面。
Interview Questions
访谈问题
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?
每次仅询问一个板块的问题,收到回答后再继续推进。
板块1 — 模型与提供商
- 你正在使用哪些AI模型?(例如:GPT-4、Claude、Gemini、本地模型)
- 你是直接调用API还是通过框架使用?(例如:LangChain、LlamaIndex、自定义框架)
- 你的上下文窗口大小是多少?
板块2 — 工作流架构
- 从高层视角描述你当前的工作流(输入是什么、输出是什么)
- 你使用的是多Agent/多步骤系统,还是单Agent系统?
- 你的Agent可以调用哪些工具/函数?
板块3 — 质量与评估
- 你当前如何评估输出质量?
- 你有测试用例或者金标准示例吗?
- 最常见的故障模式有哪些?
板块4 — 约束条件
- 你的成本约束是什么?(单次请求预算、每日预算)
- 你的延迟要求是什么?(实时、批量、异步)
- 是否有合规要求?(HIPAA、GDPR、SOC2等)
板块5 — 优先级
- 按重要性从高到低排序:质量、速度、成本、安全
- 你想要解决的最大的工作流问题是什么?
Output Format
输出格式
After gathering all answers, generate a file:
.maestro.mdmarkdown
undefined收集完所有回答后,生成一个文件:
.maestro.mdmarkdown
undefinedMaestro Workflow Context
Maestro Workflow Context
Generated: [date]
Generated: [date]
Models & Providers
Models & Providers
[answers from section 1]
[answers from section 1]
Workflow Architecture
Workflow Architecture
[answers from section 2]
[answers from section 2]
Quality & Evaluation
Quality & Evaluation
[answers from section 3]
[answers from section 3]
Constraints
Constraints
[answers from section 4]
[answers from section 4]
Priorities
Priorities
[answers from section 5, with ranked priorities]
Save this file to the project root as `.maestro.md`.[answers from section 5, with ranked priorities]
将该文件以`.maestro.md`为名保存到项目根目录。Context Completeness
上下文完整性
| Section | Status | Impact if Missing |
|---|---|---|
| Models & Providers | ? | Commands can't tailor advice to your stack |
| Workflow Architecture | ? | Commands can't assess complexity |
| Quality & Evaluation | ? | |
| Constraints | ? | |
| Priorities | ? | All commands default to generic guidance |
| 板块 | 状态 | 缺失的影响 |
|---|---|---|
| 模型与提供商 | ? | 命令无法针对你的技术栈定制建议 |
| 工作流架构 | ? | 命令无法评估复杂度 |
| 质量与评估 | ? | |
| 约束条件 | ? | |
| 优先级 | ? | 所有命令都会默认返回通用指导 |
Interview Checklist
访谈检查清单
- All 5 sections asked and answered
- Answers are specific (not vague)
- file generated and saved
.maestro.md - User confirmed accuracy of the generated context
- 所有5个板块都已询问并收到回答
- 回答具体(不模糊)
- 已生成并保存文件
.maestro.md - 用户已确认生成的上下文准确无误
Recommended Next Step
推荐的下一步
After creating , run for a baseline health check of your workflow.
.maestro.md{{command_prefix}}diagnoseNEVER:
- Skip questions — every section matters for downstream commands
- Make assumptions — ask if unclear
- Overwrite an existing without asking
.maestro.md
创建后,运行对你的工作流进行基线健康检查。
.maestro.md{{command_prefix}}diagnose严禁操作:
- 跳过问题——每个板块对下游命令都至关重要
- 擅自假设——不清楚的内容一定要询问
- 未经用户确认就覆盖已有的文件
.maestro.md