MCPInstall

spark-recipe-vacation-catchup

by readdleProductivity & Automation

Process a large email backlog after time away: assess by category, batch-archive noise, and surface what needs attention.

Installs
316
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/readdle/spark-cli-skills --skill spark-recipe-vacation-catchup
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads spark-recipe-vacation-catchup automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Recipe: Vacation Catchup

Process a large email backlog after vacation or extended absence. Prioritize ruthlessly, batch-archive noise, and surface only what truly needs attention.

Prerequisite: Read the use-spark base skill for command reference and filter syntax.

Access level required: triage.

Steps

Step 1: Assess the backlog

Count unread emails by category for the absence period. Adjust the time window to match how long the user was away:

spark emails Inbox --filter "category:priority is:unread newer_than:14d"
spark emails Inbox --filter "category:personal is:unread newer_than:14d"
spark emails Inbox --filter "category:invitation newer_than:14d"
spark emails Inbox --filter "category:notification is:unread newer_than:14d"
spark emails Inbox --filter "category:newsletter newer_than:14d"

Report the totals: "You have N unread across all categories: X priority, Y people, Z invitations, W notifications, V newsletters."

Step 2: Process priority mail first

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

Read each thread and present the key items. These are the most important and should be handled individually.

Step 3: Process people mail

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

For each, read the thread to check if the matter is still open or was resolved while the user was away:

spark thread <id>

Mark resolved threads as read: spark action markAsSeen <id>

Step 4: Process invitations

spark emails Inbox --filter "category:invitation"

Check which invitations are for past dates (already missed) vs. future dates. Only future invitations need a decision.

Step 5: Batch-archive notifications

Most notifications older than a few days are no longer actionable:

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

Review the senders briefly, then archive in bulk:

spark action archive <id1> <id2> <id3> <id4> <id5>

Step 6: Batch-archive newsletters

Old newsletters have no urgency:

spark emails Inbox --filter "category:newsletter"

Archive all but the most recent from each sender:

spark action archive <id1> <id2> <id3>

Step 7: Review new senders (GateKeeper)

New senders may have accumulated during the absence:

spark emails Inbox --new-senders

Accept legitimate contacts and block unwanted ones:

spark contact-action acceptContact sender@company.com
spark contact-action blockContact spammer@example.com

Step 8: Set reminders for deferred items

For items that need attention but not right now:

spark action snooze <id> --date 2026-04-12
spark action changeReminder <id> --date 2026-04-15

Step 9: Report

Summarize: "Processed N emails. X need your attention (listed above), Y archived, Z snoozed for later."

Tips

  • The key principle is aggressive batch processing. Don't read every notification and newsletter individually.
  • Priority and people mail get individual attention; notifications and newsletters get batch treatment.
  • Past-date invitations can be archived without action - the meeting already happened.
  • If the user was away for more than two weeks, increase the newer_than window accordingly.
  • After the catchup, run recipe-inbox-by-category to verify the inbox is in good shape.
  • GateKeeper review is easy to forget - new senders may include important contacts who emailed during the absence.
  • Snooze items to spread the follow-up work across multiple days rather than trying to handle everything at once.

FAQ

What does the spark-recipe-vacation-catchup skill do?

Process a large email backlog after time away: assess by category, batch-archive noise, and surface what needs attention.

How do I install spark-recipe-vacation-catchup?

Run npx skills add https://github.com/readdle/spark-cli-skills --skill spark-recipe-vacation-catchup in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/spark-recipe-vacation-catchup/ (personal) or .claude/skills/spark-recipe-vacation-catchup/ (project).

Which AI agents can use spark-recipe-vacation-catchup?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is spark-recipe-vacation-catchup safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains spark-recipe-vacation-catchup?

It is published by readdle in readdle/spark-cli-skills. It has 316 recorded installs.

More from readdle/spark-cli-skills

View all →

use-spark

readdle/spark-cli-skills

Use the spark CLI to access the user's Spark email data - list emails, search by topic, read threads, check calendar events, find availability, look up contacts, and view team info. Use when the user asks about their emails, calendar, contacts, meetings, or scheduling.

Productivity & Automation511 installs

spark-recipe-morning-standup

readdle/spark-cli-skills

Morning standup briefing: today's events, unread people and priority mail, and team assignment status.

364 installs

spark-recipe-inbox-by-category

readdle/spark-cli-skills

Process inbox in priority order by Spark's smart categories: priority first, then people, invites, notifications, newsletters.

361 installs

spark-recipe-end-of-day

readdle/spark-cli-skills

End-of-day review: check for loose ends, review pinned items, and preview tomorrow's calendar.

Code Quality & Workflow360 installs

spark-recipe-weekly-digest

readdle/spark-cli-skills

Weekly summary: this week's meetings, unread email breakdown by category, and team assignment status.

Productivity & Automation358 installs

spark-recipe-meeting-prep

readdle/spark-cli-skills

Prepare for an upcoming meeting: check agenda, search for email context, look up attendee details, and flag open threads that should be raised.

Productivity & Automation355 installs

Popular productivity & automation skills

View category →

agent-browser

vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

OfficialProductivity & Automation1.3M installs

lark-doc

open.feishu.cn

飞书云文档（Docx / Wiki）内容操作：读取、创建、编辑文档，插入或下载图片附件，以及操作思维笔记。用户提供文档 URL/token（包括 doubao.com 的 /docx/、/wiki/）时使用；按 URL 路径/token 而非域名路由；/page/ 是妙搭应用，非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive；随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。

Productivity & Automation815.7K installs

lark-base

open.feishu.cn

飞书多维表格（Base）操作：建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式（BaseApp/AppMode 页面与组件）、Workspace 目录、workflow、角色权限、模板中心（多维表格模板分类/列表/搜索）；遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps；文件导入/导出转 lark-drive，认证/授权转 lark-shared。

Productivity & Automation815K installs

lark-drive

open.feishu.cn

飞书云空间（云盘/云存储）：管理 Drive 文件和文件夹，包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签（secure labels）和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题，或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用；doubao.com 云空间 URL/token 也按资源路径和 token 路由，不回退 WebFetch。不负责：文档内容编辑（走 lark-doc）、表格/Base 表内数据操作（走 lark-sheets/lark-base）、知识空间节点/成员管理（走 lark-wiki）、原生 Markdown 文件读写/patch/diff（走 lark-markdown）。

Productivity & Automation815K installs

lark-shared

open.feishu.cn

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.

Productivity & Automation814.8K installs

lark-im

open.feishu.cn

飞书即时通讯：收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片（Interactive Card）、监听卡片按钮回调（card.action.trigger）。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶（添加/移除/查询置顶会话）、管理标签数据、处理卡片回调时使用。

Productivity & Automation814.1K installs