MCPInstall

spark-recipe-multi-account-review

Review inbox status across multiple email accounts with per-account breakdown and cross-account priorities.

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353
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/readdle/spark-cli-skills --skill spark-recipe-multi-account-review
  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-multi-account-review 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: Multi-Account Review

For users with multiple email accounts, review each account's inbox status and present a unified summary with per-account breakdown.

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

Access level required: read-only.

Steps

Step 1: Discover all accounts

spark accounts

Note each account email, its access level, and associated calendars and teams.

Step 2: Check folders per account

For each account, see the folder structure and message counts:

spark folders user@work.com
spark folders user@personal.com
spark folders user@sideproject.com

Step 3: Review unread mail per account

For each account, check unread across key categories:

spark emails user@work.com --filter "is:unread"
spark emails user@personal.com --filter "is:unread"
spark emails user@sideproject.com --filter "is:unread"

For a category-level breakdown on the most active account:

spark emails user@work.com --filter "category:priority is:unread"
spark emails user@work.com --filter "category:personal is:unread"

Step 4: Cross-account priority check

Check priority mail across all accounts at once:

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

This uses the unified inbox to surface priority items regardless of which account received them.

Step 5: Present the summary

Report per account:

Highlight cross-account priorities and any account that needs immediate attention.

Tips

  • Start with spark accounts to discover all configured accounts and their access levels.
  • The unified inbox (spark emails Inbox) aggregates across all accounts - use it for cross-account priority checks.
  • Per-account browsing (spark emails user@example.com) keeps things separated when the user wants to focus on one context.
  • Use spark folders <account> to understand each account's folder structure before browsing specific folders.
  • Some accounts may be read-only while others have triage access. accounts shows the access level for each.
  • For users with work + personal accounts, suggest processing them separately to maintain mental context.
  • Combine with recipe-inbox-by-category for a deep dive into the most active account.

FAQ

What does the spark-recipe-multi-account-review skill do?

Review inbox status across multiple email accounts with per-account breakdown and cross-account priorities.

How do I install spark-recipe-multi-account-review?

Run npx skills add https://github.com/readdle/spark-cli-skills --skill spark-recipe-multi-account-review 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-multi-account-review/ (personal) or .claude/skills/spark-recipe-multi-account-review/ (project).

Which AI agents can use spark-recipe-multi-account-review?

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-multi-account-review 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-multi-account-review?

It is published by readdle in readdle/spark-cli-skills. It has 353 recorded installs.

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