skills/integrations/google/gmail/SKILL.md
Read, send, and manage Gmail emails. Load when user mentions 'gmail', 'email', 'send email', 'check email', 'inbox', 'draft', or references sending/reading emails.
npx skillsauth add beam-ai-team/beam-next-skills gmailInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Automate Gmail operations including reading, sending, replying, forwarding, and managing emails. Useful for email automation, inbox management, and communication workflows.
Read, send, and manage Gmail via OAuth authentication.
These rules are MANDATORY and must NEVER be bypassed:
yes (send now), no (delete draft), or keep-draft (review in Gmail)| Operation | Requires Confirmation | |-----------|----------------------| | Send email | YES - ALWAYS | | Reply to email | YES - ALWAYS | | Forward email | YES - ALWAYS | | Send draft | YES - ALWAYS | | Delete draft | Yes | | Trash email | Yes |
These do NOT require confirmation:
uv run python 00-system/skills/google/google-master/scripts/google_auth.py --check --service gmail
Exit codes:
python3 00-system/skills/google/google-master/scripts/google_auth.py --loginuv run python 00-system/skills/google/gmail/scripts/gmail_operations.py list --max 10
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py list --query "is:unread" --max 10
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py search "from:[email protected] subject:report"
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py read <message_id>
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py send --to "[email protected]" --subject "Hello" --body "Message body"
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py reply <message_id> --body "Reply text"
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py forward <message_id> --to "[email protected]"
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py draft --to "[email protected]" --subject "Draft" --body "Content"
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py drafts
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py labels
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py trash <message_id>
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py archive <message_id>
uv run python 00-system/skills/google/gmail/scripts/gmail_operations.py mark-read <message_id>
| Operator | Example | Description |
|----------|---------|-------------|
| from: | from:[email protected] | Emails from sender |
| to: | to:[email protected] | Emails to recipient |
| subject: | subject:meeting | Subject contains word |
| is:unread | is:unread | Unread emails |
| has:attachment | has:attachment | Has attachments |
| after: | after:2024/01/01 | After date |
| before: | before:2024/12/31 | Before date |
| label: | label:important | Has label |
See ../google-master/references/error-handling.md for common errors and solutions.
First-time setup: ../google-master/references/setup-guide.md
Quick start:
pip install google-auth google-auth-oauthlib google-api-python-client.env file at Beam Next root:
GOOGLE_CLIENT_ID=your-client-id.apps.googleusercontent.com
GOOGLE_CLIENT_SECRET=your-client-secret
GOOGLE_PROJECT_ID=your-project-id
python3 00-system/skills/google/google-master/scripts/google_auth.py --logindevelopment
--- name: taste-skill type: skill version: '1.0' author: Leonxlnx (packaged by Zhichao Li) category: general tags: - frontend - design - anti-slop - landing-page updated: '2026-06-11' visibility: public description: Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check. license: MIT.
development
Use when communicating quantitative information in any form — Slack updates, emails, reports, decks, dashboards, landing pages, product UI, public talks. Covers two integrated layers: (1) making numbers semantically meaningful (translation, anchoring, simplification, story-pairing) and (2) showing numbers cleanly (chart vs table vs prose, chart-by-message, pre-attentive emphasis, color discipline, decluttering). Distilled and integrated from *Show Me the Numbers* (Stephen Few) and *Make Numbers Count* (Chip Heath & Karla Starr). Not for raw data analysis or statistics — this is about communication of numbers, not their derivation.
development
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
tools
Stateful multi-session tutor adapted for Beam — teach a stakeholder to understand, trust, and operate a specific agent, or teach a Solution Engineer a client's business process for delivery. Grounds every lesson in Knowledge Hub sources (real agent graphs, real tasks, transcripts, Linear) before any web resource. Also works for any general topic. Trigger on "teach me", "beam teach", "教我", "onboard <person> on <agent>", "help <stakeholder> understand the agent", "learn this client's process".