Meeting Notes → Tasks & Follow-up
Run a simple, professional workflow that transforms raw meeting notes into a clear summary and a practical task list.
Keep outputs concise, readable, and easy to share with a team after a meeting.
Workflow
Use this sequence for complete requests:
- 1. collect meeting context
- clean and structure the notes
- extract key points
- generate simple tasks
- produce a clean summary
1. Collect meeting context
Capture the operating brief before producing outputs.
Minimum inputs:
- - meeting title
- meeting date if available
- participants if known
- raw notes or transcript
- desired output style
- target audience for the summary
If some information is missing, keep assumptions minimal and label unknowns clearly.
2. Clean and structure the notes
Use user-provided notes, transcript text, or manually reviewed meeting content.
Normalize the material into these buckets whenever possible:
- - context
- decisions
- discussion points
- blockers
- next steps
Rules:
- - remove filler and repetition
- preserve important names, dates, and decisions
- do not invent commitments that are not supported by the source notes
3. Extract key points
Identify the most important information from the meeting.
Capture these fields whenever possible:
- - main objective
- important decisions
- open questions
- risks or blockers
- notable follow-up topics
Use references/templates.md for key-point and summary structure.
4. Generate simple tasks
Convert explicit next steps into a practical action list.
Recommended task fields:
- - task
- owner if stated
- status defaulting to INLINECODE1
- note
Rules:
- - only generate simple tasks that are clearly implied or directly stated
- if no owner is given, mark owner as INLINECODE2
- if no due date is mentioned, leave it blank rather than guessing
Use scripts/task_extractor.py to convert meeting text into a basic tasks CSV.
5. Produce a clean summary
For the final recap, include:
- - short meeting summary
- key decisions
- important discussion points
- simple task list
- unanswered questions
Keep the tone professional, clear, and easy to forward.
Output order
For a complete request, produce outputs in this order:
- 1. meeting context
- concise summary
- key points
- task list
- open questions
Style standard
Write for busy teams.
Prefer:
- - short paragraphs
- bullets over long prose
- plain language
- clearly labeled sections
Avoid:
- - bloated meeting minutes
- invented deadlines or responsibilities
- overcomplicated project-management language
Community edition note
This free edition focuses on transcript cleanup, key point extraction, simple task generation, and a polished meeting summary. Smart prioritization, personalized follow-up emails, integrations, and follow-up tracking are reserved for the premium edition.
Resources
Use bundled resources when useful:
- -
references/templates.md for recap and task templates - INLINECODE5 to convert notes into a simple task CSV
- INLINECODE6 to generate a compact structured meeting summary
会议记录 → 任务与跟进
运行一个简单、专业的工作流程,将原始会议记录转化为清晰的摘要和实用的任务清单。
保持输出内容简洁、易读,并便于会议后与团队分享。
工作流程
对于完整请求,请按以下顺序操作:
- 1. 收集会议背景信息
- 清理并结构化记录
- 提取关键要点
- 生成简单任务
- 产出清晰摘要
1. 收集会议背景信息
在生成输出前,先获取操作简报。
最低输入要求:
- - 会议标题
- 会议日期(如有)
- 参会人员(如已知)
- 原始记录或转录文本
- 期望的输出风格
- 摘要的目标受众
如果缺少某些信息,尽量减少假设,并明确标注未知项。
2. 清理并结构化记录
使用用户提供的记录、转录文本或人工审阅过的会议内容。
尽可能将材料归入以下类别:
规则:
- - 删除填充内容和重复信息
- 保留重要人名、日期和决策
- 不要编造原始记录中未提及的承诺事项
3. 提取关键要点
识别会议中最重要的信息。
尽可能捕捉以下字段:
- - 主要目标
- 重要决策
- 未解决问题
- 风险或阻碍因素
- 值得关注的后续议题
关键点和摘要结构请参考 references/templates.md。
4. 生成简单任务
将明确的后续步骤转化为实用的行动清单。
推荐的任务字段:
- - 任务
- 负责人(如已指定)
- 状态(默认为 待办)
- 备注
规则:
- - 仅生成明确暗示或直接陈述的简单任务
- 如未指定负责人,标记为 未分配
- 如未提及截止日期,留空而非猜测
使用 scripts/task_extractor.py 将会议文本转换为基本的任务 CSV 文件。
5. 产出清晰摘要
最终回顾应包括:
- - 简短会议摘要
- 关键决策
- 重要讨论要点
- 简单任务清单
- 未解答的问题
保持语气专业、清晰,便于转发。
输出顺序
对于完整请求,按以下顺序输出:
- 1. 会议背景
- 简明摘要
- 关键要点
- 任务清单
- 未解决问题
风格标准
为忙碌的团队撰写。
偏好:
- - 短段落
- 要点列表而非长篇叙述
- 平实语言
- 清晰标注的章节
避免:
- - 冗长的会议纪要
- 虚构的截止日期或责任
- 过于复杂的项目管理术语
社区版说明
本免费版专注于转录文本清理、关键点提取、简单任务生成和精炼的会议摘要。智能优先级排序、个性化跟进邮件、集成功能和跟进追踪保留在高级版中。
资源
在需要时使用捆绑资源:
- - references/templates.md:回顾和任务模板
- scripts/taskextractor.py:将记录转换为简单的任务 CSV 文件
- scripts/meetingsummary.py:生成紧凑的结构化会议摘要