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email-digest

Digest and ingest emails into memory, surfacing important threads and action items

Skill by QuixiAI

IndexedMIT★ 621
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/quixiai-email-digest

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About

Digest and ingest emails into memory, surfacing important threads and action items

Use cases: productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/email-digest

What's inside

Skill name
email-digest
Description
Digest and ingest emails into memory, surfacing important threads and action items
License
MIT
Instructions
33 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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, but only when Gmail is connected and `integrations.gmail.heartbeat_digest_enabled` is true or the active heartbeat task/goal carries explicit user authorization for this check
- 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 authorization**: In heartbeat, only proceed if the runtime exposed this skill because the user granted autonomous Gmail digest access. If setup/status indicates the grant is missing, stop and queue a short request for the user to enable background email checks.
2. **Check recency**: Use `recall` to find when the last email digest ran. Avoid re-processing messages already ingested.
3. **Check setup**: Call `gmail_setup_status`. If Gmail is not connected, record the missing setup clearly and stop; do not loop.
4. **List new emails**: Call `email_list` 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.
5. **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.
6. **Read priority threads**: Use `email_read` on the top 5-10 most relevant messages. Do not read every email; batch processing wastes energy and context.
7. **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.
8. **Store findings**: Respect `integrations.gmail.memory_policy`. If it is `forget`, do not use `remember` or `ingest_emails` for email-derived content. If it is `ask`, queue a user-facing choice before storing. If it is `remember`, persist action items as episodic memories with high importance, tagged with the sender, thread ID, and any relevant goal.
9. **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.
- Google OAuth authorization is not the same as Hexis autonomy authorization. A connected Gmail account does not imply permission for background heartbeat reading.
- 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. If `gmail_setup_status` says Google sign-in is ready, queue a short user-facing request that they connect Gmail from chat or CLI; do not start or complete sign-in during heartbeat.
- Prefer recalling existing contact memories to enrich email context (who is this person, what is the relationship).

From QuixiAI/Hexis, MIT.

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Stars
621
Forks
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Open issues
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Last commit (this folder)
Aug 22, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

email-digest skill. Agent Mart. https://agentmart.dev/skills/quixiai-email-digest (last updated 2026-10-24)