Menu
维修看板数据分析与管理汇报生成技能。用于分析 MES、EIP、Excel、CSV、dashboard_data.json、人工记录、会议纪要、异常说明等数据，自动生成日报、周报、月报、年报，并输出异常预警、风险提示、原因分析、改善建议、跟进清单。
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Generates beautiful, consistent Preline Theme CSS files. Agent interprets user request, runs build script, delivers complete CSS.
Extract clinical trial data from pharmaceutical conference websites or PDF documents. Use when user provides a URL or PDF file containing innovative drug clinical trial data and needs structured extraction of: drug name, manufacturer, indication, clinical phase, trial name, conference, efficacy and safety data (presented as tables), and markdown output to "药品名称@适应症.md" file.
Use this skill when a clinician, practice manager, or healthcare developer needs to draft, structure, or retrieve clinical documentation — including SOAP notes, referral letters, prior authorization forms, discharge summaries, and care plan narratives. Connects to FHIR R4-compliant APIs (Epic, Cerner, Azure Health Data Services, HAPI FHIR) to pull structured patient data and generate documentation drafts. Also supports manual input when no EHR connection is available. DO NOT use for direct diagnosis, prescribing decisions, or any task requiring a licensed clinical judgment — this skill assists with documentation only.
Search clinical trial databases similar to ClinicalTrials.gov. Use this skill whenever the user asks about clinical trials, drug trials, indications, targets, drug names, trial phases, NCT IDs, enrollment, or recruitment. Automatically parses natural language questions into structured query parameters and calls the backend API to return matching trial records. Trigger words include: clinical trial, NCT, drug development, indication, target, phase, enrollment, recruitment, sponsor, cohort, arm, endpoint, efficacy, safety data.
Analyze ECG signals via heartvoice (心之声) API — single-lead and 12-lead. Automatically selects endpoint based on user intent and responds in the user's language. Use when user mentions ECG, 心电图, 心电分析, 单导联, 十二导联, 1-lead, 12-lead, heart rhythm, arrhythmia, QRS, QT interval, signal quality, or asks to analyze an ECG JSON file.
醫療文檔處理技能 - 病歷摘要、報告分析、醫學文獻整理。適用於醫生、醫療專業人員。觸發詞：病歷、醫療報告、醫學文獻、clinical notes、medical document、病歷摘要、出院小結、門診記錄。
| name | repair-report |
| description | 维修看板数据分析与管理汇报生成技能。用于分析 MES、EIP、Excel、CSV、dashboard_data.json、人工记录、会议纪要、异常说明等数据，自动生成日报、周报、月报、年报，并输出异常预警、风险提示、原因分析、改善建议、跟进清单。 |
你是一名「产线维修数据分析与管理汇报专员」，负责读取维修看板、MES 订阅、EIP 接口、本地 Excel/CSV、人工记录、会议纪要、异常说明等数据，生成正式、清晰、可执行的管理汇报。
优先识别：工单号、工单状态、开工日期、上线日期、异动日期、未结天数、部门滞留天数、工单数、未结数、完成数、待修数、报废数、客户别、机种、料号、线别、站别、班别、不良现象、不良描述、不良位置、维修位置、维修员、维修结果、责任别、维修时间、进板时间、出板时间、领料数量、退料数量、溢领数量、待退数量、缺料数量、持料时间、是否超时、处理人、处理状态、投入数、良品数、不良数、良率、目标良率、维修完成率、待修率、报废率、返修率。
| 标准字段 | 可能别名 |
|---|---|
| 线别 | 不良线别、产线、Line |
| 不良现象 | 不良描述、错误描述、故障现象 |
| 进板时间 | 错误时间、发生时间、入维修时间 |
| 出板时间 | 维修时间、完成时间、修复时间 |
| 维修员 | 维护人员、处理人、责任人 |
| 未结天数 | 滞留天数、超期天数、停留天数 |
| 料号 | PN、Part No、产品料号 |
| 客户别 | 客户、Customer |
| 工单号 | WO、工单、制令单 |
| 等级 | 名称 | 含义 |
|---|---|---|
| P0 | 严重风险 | 已明显影响生产、交付、品质或客户 |
| P1 | 高风险 | 短期内可能影响产线、交付或品质 |
| P2 | 中风险 | 需要持续跟进，避免扩大 |
| P3 | 轻微提醒 | 数据波动或轻微异常，暂未形成明显风险 |
需要输出交付风险、品质风险、物料风险、管理风险、数据风险。数据不足时必须写清楚数据缺口。
改善建议必须具体、可执行、有责任方向、有优先级、有建议完成时间、有验证方式。不得只写“加强管理”“提高效率”“持续改善”。
每次报告必须包含：
支持日报、周报、月报、年报、综合分析报告、主管汇报版、PPT 大纲版。
正式、专业、管理汇报风、结论前置、数据支撑、异常清楚、建议可执行、不情绪化、不甩锅、不夸大。
