openclaw-executive-assistant-webinars

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🇨🇳

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OpenClaw Executive Assistant Webinars

OpenClaw执行助理研讨会

Skill by ara.so — Hermes Skills collection.

由ara.so开发的Skill — 属于Hermes Skills合集。

Overview

概述

This project provides a workshop framework for building local-only executive assistant workflows using OpenClaw. It demonstrates three core patterns:

Data intake review — Turn unknown files into trustworthy intake reports
Operational memory — Convert work residue into daily and weekly momentum docs
Offline communications triage — Transform exported emails into action lists

All workflows use local folders, produce reviewable markdown artifacts, and require no live integrations.

本项目提供了一个使用OpenClaw构建仅本地运行的执行助理工作流的 workshop 框架。它展示了三个核心模式：

数据接收审核 — 将未知文件转换为可信的接收报告
操作记忆 — 将工作遗留内容转换为每日和每周动态文档
离线通讯分类处理 — 将导出的电子邮件转换为行动清单

所有工作流均使用本地文件夹，生成可审核的Markdown成果，无需实时集成。

Installation

安装步骤

Clone the repository:

bash

git clone https://github.com/dandenney/webinars-build-your-own-executive-assistant-with-openclaw.git
cd webinars-build-your-own-executive-assistant-with-openclaw

No dependencies required — this is a file-based workflow using OpenClaw prompts with copy/paste execution.

克隆仓库：

bash

git clone https://github.com/dandenney/webinars-build-your-own-executive-assistant-with-openclaw.git
cd webinars-build-your-own-executive-assistant-with-openclaw

无需依赖项 — 这是一个基于文件的工作流，使用OpenClaw提示词并通过复制粘贴执行。

Repository Structure

仓库结构

code-along/
├── INDEX.md
├── 01-data-intake-review/
│   ├── incoming/          # Files to inspect
│   ├── prompts/
│   │   └── intake-review.md
│   ├── outputs/           # Generated reports
│   └── expected/
│       └── report-outline.md
├── 02-operational-memory/
│   ├── inbox/             # Work notes and residue
│   ├── prompts/
│   │   ├── daily-log.md
│   │   └── weekly-hype.md
│   ├── outputs/
│   ├── schedule/
│   │   ├── cron-examples.md
│   │   └── heartbeat-note.md
├── 03-offline-communications-triage/
│   ├── eml/               # Exported email files
│   ├── prompts/
│   │   └── email-triage.md
│   ├── outputs/
│   └── expected/
│       └── report-outline.md
└── mission-control/       # Optional dashboard

code-along/
├── INDEX.md
├── 01-data-intake-review/
│   ├── incoming/          # 待检查文件目录
│   ├── prompts/
│   │   └── intake-review.md
│   ├── outputs/           # 生成的报告目录
│   └── expected/
│       └── report-outline.md
├── 02-operational-memory/
│   ├── inbox/             # 工作笔记和遗留内容目录
│   ├── prompts/
│   │   ├── daily-log.md
│   │   └── weekly-hype.md
│   ├── outputs/
│   ├── schedule/
│   │   ├── cron-examples.md
│   │   └── heartbeat-note.md
├── 03-offline-communications-triage/
│   ├── eml/               # 导出的电子邮件文件目录
│   ├── prompts/
│   │   └── email-triage.md
│   ├── outputs/
│   └── expected/
│       └── report-outline.md
└── mission-control/       # 可选控制面板

Workflow Patterns

工作流模式

1. Data Intake Review

1. 数据接收审核

Process unknown files in a folder and generate a structured intake report.

Setup:

bash

cd code-along/01-data-intake-review

Workflow:

Place files to review in
```
incoming/
```
Open
```
prompts/intake-review.md
```
to see the prompt template
Copy the prompt and provide context about files in
```
incoming/
```
Save the generated output to
```
outputs/intake-review.md
```

Expected output structure:

File inventory
Risk assessment
Action recommendations
Priority rankings

Example prompt pattern:

markdown

Review all files in the incoming/ directory and create an intake report that includes:
- List of all files with size and type
- Security/privacy concerns
- Recommended actions for each file
- Overall priority assessment

Format as markdown with clear sections.

处理文件夹中的未知文件并生成结构化的接收报告。

设置：

bash

cd code-along/01-data-intake-review

工作流：

将待审核文件放入
```
incoming/
```
目录
打开
```
prompts/intake-review.md
```
查看提示词模板
复制提示词并提供
```
incoming/
```
目录中文件的相关上下文
将生成的输出保存到
```
outputs/intake-review.md
```

预期输出结构：

文件清单
风险评估
行动建议
优先级排序

示例提示词模式：

markdown

Review all files in the incoming/ directory and create an intake report that includes:
- List of all files with size and type
- Security/privacy concerns
- Recommended actions for each file
- Overall priority assessment

Format as markdown with clear sections.

2. Operational Memory

2. 操作记忆

Convert scattered work notes into structured daily logs and weekly summaries.

Setup:

bash

cd code-along/02-operational-memory

Daily log workflow:

markdown

undefined

将分散的工作笔记转换为结构化的每日日志和每周总结。

设置：

bash

cd code-along/02-operational-memory

每日日志工作流：

markdown

undefined

Daily Log Prompt Pattern

Review all notes in inbox/ from today and create a daily log with:

Key accomplishments
Decisions made
Blockers encountered
Tomorrow's priorities

Output to: outputs/daily-log.md


**Weekly summary workflow:**
```markdown

Review all notes in inbox/ from today and create a daily log with:

Key accomplishments
Decisions made
Blockers encountered
Tomorrow's priorities

Output to: outputs/daily-log.md


**每周总结工作流：**
```markdown

Weekly Hype Prompt Pattern

Review all daily logs from this week and create a weekly summary with:

Week's highlights
Momentum indicators
Patterns observed
Next week's focus areas

Output to: outputs/weekly-hype.md


**Automation example (cron):**
```bash

Review all daily logs from this week and create a weekly summary with:

Week's highlights
Momentum indicators
Patterns observed
Next week's focus areas

Output to: outputs/weekly-hype.md


**自动化示例（cron）：**
```bash

Daily log generation at 5pm

0 17 * * * /path/to/generate-daily-log.sh

Weekly summary on Friday at 4pm

0 16 * * 5 /path/to/generate-weekly-hype.sh

undefined

0 16 * * 5 /path/to/generate-weekly-hype.sh

undefined

3. Offline Communications Triage

3. 离线通讯分类处理

Process exported email files (.eml) and generate action-oriented triage reports.

Setup:

bash

cd code-along/03-offline-communications-triage

Workflow:

Export emails as .eml files to
```
eml/
```
directory
Use the triage prompt from
```
prompts/email-triage.md
```
Generate report to
```
outputs/email-triage.md
```

Example triage prompt pattern:

markdown

Process all .eml files in eml/ and create a triage report with:

处理导出的电子邮件文件（.eml）并生成面向行动的分类报告。

设置：

bash

cd code-along/03-offline-communications-triage

工作流：

将电子邮件导出为.eml文件并放入
```
eml/
```
目录
使用
```
prompts/email-triage.md
```
中的分类提示词
将报告生成到
```
outputs/email-triage.md
```

示例分类提示词模式：

markdown

Process all .eml files in eml/ and create a triage report with:

Urgent Actions

Emails requiring immediate response
Deadlines within 24 hours

Emails requiring immediate response
Deadlines within 24 hours

This Week

Items needing response this week
Grouped by topic/project

Items needing response this week
Grouped by topic/project

FYI / Archive

Informational items
No action needed

Informational items
No action needed

Delegatable

Items that could be handled by others

For each item include:

Sender
Subject line
Key points
Recommended action


**Expected output:**
- Categorized action items
- Priority rankings
- Response drafts for urgent items
- Delegation opportunities

Items that could be handled by others

For each item include:

Sender
Subject line
Key points
Recommended action


**预期输出：**
- 分类后的行动项
- 优先级排序
- 紧急邮件的回复草稿
- 可委派的任务机会

Common Patterns

通用模式

File-Based Prompt Execution

基于文件的提示词执行

All exercises follow this pattern:

bash

undefined

所有练习均遵循以下模式：

bash

undefined

1. Navigate to exercise directory

1. 导航到练习目录

cd code-along/01-data-intake-review

2. Review the prompt template

2. 查看提示词模板

cat prompts/intake-review.md

3. Provide context files

3. 提供上下文文件

(Files already in incoming/ or inbox/ directories)

—

4. Copy prompt + execute with OpenClaw

—

(Manual copy/paste to AI assistant)

—

5. Save output

—

Save response to outputs/[exercise-name].md

—

undefined

#（文件已在incoming/或inbox/目录中）

Markdown Output Structure

4. 复制提示词并通过OpenClaw执行

All outputs should be markdown files with:

markdown

undefined

#（手动复制粘贴到AI助理）

Report Title

5. 保存输出

—

将响应保存到outputs/[exercise-name].md

Generated: YYYY-MM-DD HH:MM

undefined

Executive Summary

Markdown输出结构

[2-3 sentence overview]

所有输出应为Markdown文件，格式如下：

markdown

undefined

[Section 1]

Report Title

[Detailed content]

Generated: YYYY-MM-DD HH:MM

[Section 2]

Executive Summary

[Detailed content]

[2-3 sentence overview]

Recommendations

[Section 1]

Action item 1
Action item 2

[Detailed content]

Next Steps

[Section 2]

Step one
Step two

undefined

[Detailed content]

Scheduling Automated Runs

Recommendations

For operational memory workflows:

bash

undefined

Action item 1
Action item 2

Create a simple shell script wrapper

Next Steps

#!/bin/bash

Step one
Step two

undefined

generate-daily-log.sh

调度自动化运行

WORKSPACE="/path/to/code-along/02-operational-memory" cd "$WORKSPACE"

对于操作记忆工作流：

bash

undefined

Your OpenClaw execution command here

Create a simple shell script wrapper

This could be an API call, CLI command, etc.

—

openclaw execute
--prompt "$(cat prompts/daily-log.md)"
--context "inbox/"
--output "outputs/daily-log-$(date +%Y-%m-%d).md"

undefined

#!/bin/bash

Configuration

generate-daily-log.sh

Environment Variables

—

If integrating with OpenClaw APIs:

bash

export OPENCLAW_API_KEY=your_api_key_here
export OPENCLAW_MODEL=claude-3-5-sonnet
export WORKSPACE_ROOT=/path/to/code-along

WORKSPACE="/path/to/code-along/02-operational-memory" cd "$WORKSPACE"

Directory Conventions

Your OpenClaw execution command here

—

This could be an API call, CLI command, etc.

Maintain this structure for each workflow:

```
incoming/
```
or
```
inbox/
```
— Input files
```
prompts/
```
— Reusable prompt templates
```
outputs/
```
— Generated reports (gitignored if desired)
```
expected/
```
— Example outputs for reference

openclaw execute
--prompt "$(cat prompts/daily-log.md)"
--context "inbox/"
--output "outputs/daily-log-$(date +%Y-%m-%d).md"

undefined

Troubleshooting

配置

—

环境变量

No outputs generated:

Verify files exist in the input directory
Check prompt file is readable
Ensure output directory has write permissions

Reports missing sections:

Review the prompt template for completeness
Check that all input files were accessible
Verify markdown formatting in output

Automation not running:

Test cron syntax with
```
crontab -l
```
Check script permissions:
```
chmod +x generate-*.sh
```
Verify paths are absolute in cron jobs
Check cron logs:
```
grep CRON /var/log/syslog
```

File encoding issues:

Ensure .eml files are UTF-8 encoded
Check for special characters in filenames
Verify file extensions match expected types

如果与OpenClaw API集成：

bash

export OPENCLAW_API_KEY=your_api_key_here
export OPENCLAW_MODEL=claude-3-5-sonnet
export WORKSPACE_ROOT=/path/to/code-along

Best Practices

目录约定

Review before committing — All outputs are markdown for human review
Version control prompts — Keep prompt templates in git
Iterate on prompts — Refine based on output quality
Archive outputs — Date-stamp reports for historical reference
Local-first — No API calls until you're ready to automate

为每个工作流维护以下结构：

```
incoming/
```
或
```
inbox/
```
— 输入文件目录
```
prompts/
```
— 可复用的提示词模板目录
```
outputs/
```
— 生成的报告目录（可根据需要设置为git忽略）
```
expected/
```
— 参考用的示例输出目录

Workshop Usage

故障排除

To follow the webinar:

bash

undefined

未生成输出：

验证输入目录中存在文件
检查提示词文件是否可读
确保输出目录有写入权限

报告缺少部分内容：

检查提示词模板是否完整
确认所有输入文件均可访问
验证输出中的Markdown格式

自动化未运行：

使用
```
crontab -l
```
测试cron语法
检查脚本权限：
```
chmod +x generate-*.sh
```
确认cron任务中使用的是绝对路径
查看cron日志：
```
grep CRON /var/log/syslog
```

文件编码问题：

确保.eml文件为UTF-8编码
检查文件名中是否有特殊字符
验证文件扩展名与预期类型匹配

Open the walkthrough

最佳实践

open webinar-runbook.html

提交前审核 — 所有输出均为Markdown格式，便于人工审核
版本控制提示词 — 将提示词模板存入git
迭代优化提示词 — 根据输出质量不断完善
归档输出 — 为报告添加时间戳以便历史查询
本地优先 — 在准备好自动化之前无需调用API

Work through exercises in order

研讨会使用方法

cd code-along/01-data-intake-review

跟随研讨会操作：

bash

undefined

... complete exercise 1

打开操作手册

cd ../02-operational-memory

open webinar-runbook.html

... complete exercise 2

按顺序完成练习

cd ../03-offline-communications-triage

cd code-along/01-data-intake-review

... complete exercise 3

... 完成练习1


Each exercise builds on patterns from the previous one, demonstrating progressively sophisticated file-based AI workflows.

cd ../02-operational-memory

—

... 完成练习2

—

cd ../03-offline-communications-triage

—

... 完成练习3

—


每个练习都基于前一个练习的模式，逐步展示更复杂的基于文件的AI工作流。