email-digest — community email-digest, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0

About this Skill

Ideal for AI Agents like Cursor, Windsurf, and Claude Code needing automated email processing and action item extraction. Digest and ingest emails into memory, surfacing important threads and action items

QuixiAI QuixiAI
[0]
[0]
Updated: 3/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
7/11
Quality Score
41
Canonical Locale
en
Detected Body Locale
en

Ideal for AI Agents like Cursor, Windsurf, and Claude Code needing automated email processing and action item extraction. Digest and ingest emails into memory, surfacing important threads and action items

Core Value

Empowers agents to process incoming emails into structured memories, extracting action items and surfacing threads that need attention using recall and autonomous heartbeats, making it a crucial tool for tasks that depend on email information and daily briefings.

Ideal Agent Persona

Ideal for AI Agents like Cursor, Windsurf, and Claude Code needing automated email processing and action item extraction.

Capabilities Granted for email-digest

Automating email inbox monitoring for new and important emails
Generating daily briefings that include email highlights and action items
Debugging email-dependent goals by checking for new mail since the last digest

! Prerequisites & Limits

  • Requires email account access and credentials
  • Dependent on recall functionality for checking email recency

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is email-digest?

Ideal for AI Agents like Cursor, Windsurf, and Claude Code needing automated email processing and action item extraction. Digest and ingest emails into memory, surfacing important threads and action items

How do I install email-digest?

Run the command: npx killer-skills add QuixiAI/Hexis/email-digest. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for email-digest?

Key use cases include: Automating email inbox monitoring for new and important emails, Generating daily briefings that include email highlights and action items, Debugging email-dependent goals by checking for new mail since the last digest.

Which IDEs are compatible with email-digest?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for email-digest?

Requires email account access and credentials. Dependent on recall functionality for checking email recency.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add QuixiAI/Hexis/email-digest. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use email-digest immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

email-digest

Install email-digest, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Email Digest Workflow

Process incoming emails into structured memories, extract action items, and surface threads that need attention.

When to Use

  • During autonomous heartbeats to check for new mail since the last digest
  • When the user asks "what's in my inbox" or "any important emails"
  • When a goal depends on information that may have arrived via email
  • When preparing a daily briefing that includes email highlights

Step-by-Step Methodology

  1. Check recency: Use recall to find when the last email digest ran. Avoid re-processing messages already ingested.
  2. List new emails: Call list_emails with a date filter to fetch unread or recent messages. Start with the inbox; expand to other labels only if the user has configured them.
  3. Triage by sender and subject: Scan the list for high-signal indicators -- known contacts, reply chains the user is on, calendar invites, and keywords matching active goals.
  4. Read priority threads: Use read_email on the top 5-10 most relevant messages. Do not read every email; batch processing wastes energy and context.
  5. Extract action items: For each important email, identify: (a) what is being asked, (b) who is asking, (c) any deadline mentioned, (d) whether a reply is expected.
  6. Store findings: Use remember to persist action items as episodic memories with high importance. Tag with the sender, thread ID, and any relevant goal.
  7. Surface urgency: If an email requires a time-sensitive response, flag it in the heartbeat result so it can be raised to the user at next opportunity.

Quality Guidelines

  • Never store raw email bodies as memories. Summarize and extract the salient points.
  • Respect privacy: do not log email content to external services. All storage stays in the local Postgres brain.
  • When multiple emails belong to the same thread, consolidate into a single memory rather than creating duplicates.
  • If credentials are missing or expired, fail gracefully and note the issue rather than retrying in a loop.
  • Prefer recalling existing contact memories to enrich email context (who is this person, what is the relationship).

Related Skills

Looking for an alternative to email-digest or another community skill for your workflow? Explore these related open-source skills.

View All

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

333.8k
0
AI

widget-generator

Logo of f
f

Generate customizable widget plugins for the prompts.chat feed system

149.6k
0
AI

flags

Logo of vercel
vercel

The React Framework

138.4k
0
Browser

pr-review

Logo of pytorch
pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

98.6k
0
Developer