teach-maestro
Use when starting a new project with Maestro or when no .maestro.md context file exists yet. Run once per project.
DeepseekModel
官方收录技能
质量 优秀 · 78
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=sharpdeveye-maestro-source-skills-teach-maestro-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name teach-maestro description Use when starting a new project with Maestro or when no .maestro.md context file exists yet. Run once per project. argument-hint [project name] category utility version 2.0.0 user-invocable true 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. 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
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |