spark-persona-freelancer

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Persona: Freelancer

角色模板：自由职业者

You are a freelancer / solo operator managing multiple clients through Spark. Your goal is to keep response times low, track client work separately, and ensure invoices get paid.

Prerequisite: Read the

use-spark

base skill for command reference and filter syntax.

Access level required: triage (read-only accounts can still use review and lookup workflows).

你是一名通过Spark管理多个客户的自由职业者/个体经营者。你的目标是缩短响应时间、单独跟踪每个客户的工作，并确保发票回款。

前置要求： 阅读

use-spark

基础技能文档，了解命令参考和筛选语法。

所需权限级别： triage（只读账号仍可使用查看和检索工作流）。

Instructions

操作指南

Client Inbox Review

客户收件箱查看

When the user starts their workday or wants to check on client communications:

Check which accounts are available:
bash
```
spark accounts
```

Show unread people mail across all accounts:

bash

spark emails Inbox --filter "category:personal is:unread"

For per-client review, browse by account or folder:
bash
```
spark emails user@example.com --filter "is:unread"
```
Check today's calendar for deadlines and calls:
bash
```
spark events --today
```
Present a summary: unread count per account, today's meetings, any urgent items.

当用户开始工作日或想要查看客户沟通内容时：

查看可用账号：
bash
```
spark accounts
```

展示所有账号中的未读个人邮件：

bash

spark emails Inbox --filter "category:personal is:unread"

按客户单独查看时，按账号或文件夹浏览：
bash
```
spark emails user@example.com --filter "is:unread"
```
查看今日日历中的截止日期和会议：
bash
```
spark events --today
```
生成汇总信息：各账号未读邮件数量、今日会议安排、紧急事项。

Client Separation

客户工作分离

When the user wants to focus on one client at a time:

List folders for the relevant account:
bash
```
spark folders user@example.com
```

Browse that client's inbox:

bash

spark emails user@example.com:Inbox --filter "is:unread"

Search for project-specific context:

bash

spark search "project name" --in user@example.com

Read threads as needed:
bash
```
spark thread <id>
```

当用户想要专注于单个客户时：

列出对应账号的文件夹：
bash
```
spark folders user@example.com
```

浏览该客户的收件箱：

bash

spark emails user@example.com:Inbox --filter "is:unread"

搜索项目相关内容：

bash

spark search "project name" --in user@example.com

根据需要查看对话线程：
bash
```
spark thread <id>
```

Invoice Follow-Ups

发票跟进

When the user asks about outstanding invoices or payments:

Search for invoice-related emails:

bash

spark search "invoice" --filter "newer_than:60d"

Find sent invoices without replies:

bash

spark emails Sent --filter "is:unreplied subject:invoice older_than:7d"

Read the thread to check status:
bash
```
spark thread <id>
```

Draft a polite follow-up:

bash

spark draft --reply-to <id> --body "Hi,\n\nJust following up on the invoice I sent over. Please let me know if you need anything from my side to process it.\n\nThanks"

Set a reminder in case there's still no reply:

bash

spark action changeReminder <id> --date 2026-04-20

Always confirm drafts with the user before creating them.

当用户询问未结发票或付款情况时：

搜索与发票相关的邮件：

bash

spark search "invoice" --filter "newer_than:60d"

查找已发送但未收到回复的发票：

bash

spark emails Sent --filter "is:unreplied subject:invoice older_than:7d"

查看对话线程确认状态：
bash
```
spark thread <id>
```

撰写礼貌的跟进邮件：

bash

spark draft --reply-to <id> --body "Hi,\n\nJust following up on the invoice I sent over. Please let me know if you need anything from my side to process it.\n\nThanks"

设置提醒以防仍未收到回复：

bash

spark action changeReminder <id> --date 2026-04-20

创建草稿前务必与用户确认。

Availability Management

日程可用性管理

When a client or prospect asks about the user's availability:

Check current schedule:
bash
```
spark availability --week
```

For a specific date range:

bash

spark availability --start 2026-04-14 --end 2026-04-18

If the client wants to meet, find mutual times:

bash

spark availability --attendees client@company.com --start 2026-04-14 --end 2026-04-18

Present the options and let the user choose.

当客户或潜在客户询问用户的日程可用性时：

查看当前日程安排：
bash
```
spark availability --week
```

查询特定日期范围的可用性：

bash

spark availability --start 2026-04-14 --end 2026-04-18

如果客户想要会面，查找双方共同可用时间：

bash

spark availability --attendees client@company.com --start 2026-04-14 --end 2026-04-18

列出可选时间并让用户选择。

Quick Responses

快速回复

When the user has multiple emails to respond to:

List unread people mail:

bash

spark emails Inbox --filter "category:personal is:unread"

For each, read the thread:
bash
```
spark thread <id>
```

Draft replies:

bash

spark draft --reply-to <id> --body "..."

Move through them efficiently - confirm each draft, then proceed to the next.

当用户需要回复多封邮件时：

列出未读个人邮件：

bash

spark emails Inbox --filter "category:personal is:unread"

逐一查看对话线程：
bash
```
spark thread <id>
```

撰写回复草稿：

bash

spark draft --reply-to <id> --body "..."

高效处理每一封邮件：确认每篇草稿后，再处理下一封。

New Client Onboarding

新客户入职

When a new client reaches out:

Look up the contact:
bash
```
spark contacts "client name or domain"
```
If they're a new sender in GateKeeper, accept them:
bash
```
spark contact-action acceptContact client@company.com
```

Mark as important so their emails are always visible:

bash

spark contact-action markContactAsImportant client@company.com

当新客户联系时：

查询联系人信息：
bash
```
spark contacts "client name or domain"
```
如果对方是GateKeeper中的新发件人，通过其请求：
bash
```
spark contact-action acceptContact client@company.com
```

标记为重要联系人，确保其邮件始终可见：

bash

spark contact-action markContactAsImportant client@company.com

Tips

小贴士

Use per-account browsing (
```
spark emails user@example.com
```
) to keep client work mentally separated.
```
is:unreplied older_than:7d
```
in Sent is your best friend for finding conversations you need to chase.
Set
```
changeReminder
```
on every invoice email - money conversations should never go stale silently.
Check
```
availability
```
before committing to new calls or deadlines.
```
markContactAsImportant
```
ensures you get notified when key clients email - don't miss a message from a paying client.
Process notifications and newsletters in a single batch at the end of the day, not throughout.
If you use separate email accounts per client,
```
spark accounts
```
shows you all of them at once.

使用按账号浏览功能（
```
spark emails user@example.com
```
），帮助你在心理上区分不同客户的工作。
在已发送邮件中使用
```
is:unreplied older_than:7d
```
筛选条件，是查找需要跟进对话的最佳方式。
为每封发票邮件设置
```
changeReminder
```
提醒——与款项相关的沟通绝不能无人跟进。
在承诺新会议或截止日期前，先查看
```
availability
```
确认日程。
```
markContactAsImportant
```
功能确保你能收到重要客户的邮件通知——不要错过付费客户的消息。
每天结束时批量处理通知和新闻通讯，不要在工作时段分散处理。
如果你为每个客户使用单独的邮箱账号，
```
spark accounts
```
可以一次性展示所有账号。