Agent skill

Messaging

by vellum-ai in vellum-ai/vellum-assistant

Read, search, send, and manage messages across Gmail, Outlook, Telegram, and other platforms

MITAuto-check passedProductivity & Automation

Install Messaging

skills CLI
$ npx skills add vellum-ai/vellum-assistant --skill messaging -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install vellum-ai/vellum-assistant messaging --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assistant/src/config/bundled-skills/messaging .claude/skills/messaging && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
messaging
GitHub stars
1.4k
Token cost
~4.1k tokens
SKILL.md length
2,318 words
Files
13
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Read, search, send, and manage messages across Gmail, Outlook, Telegram, and other platforms

  • Works in 3 steps: Discover what's connected. Call… → If nothing is connected, ask which… → Once the provider is known, act…
  • Tasks that involve Email management
  • SKILL.md covers External Identity, Email Routing Priority, Connection Setup and Error Recovery, plus 7 more sections
  • Runs TypeScript scripts from its folder

What it does

Messaging is an agent skill from vellum-ai/vellum-assistant. Read, search, send, and manage messages across Gmail, Outlook, Telegram, and other platforms

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files (for example `TOOLS.json`, `tools/messaging-analyze-style.ts` and `tools/messaging-archive-by-sender.ts`). Compatibility notes: Designed for Vellum personal assistants

It sits in Productivity & Automation, covering Email management. It works with Gmail, Telegram and Slack. The repository describes itself as: An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time. The licence is MIT.

When your agent uses it

  • Tasks that involve Email management

Example prompts

  • “/messaging”

Requirements

  • Node.js
  • Compatibility (from SKILL.md): Designed for Vellum personal assistants

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Discover what's connected. Call messaging_auth_test for gmailor outlook (and any other email-capable platforms). If one succeeds, tell the…
  2. If nothing is connected, ask which provider they use - but keep it brief and conversational (e.g., "Which email do you use - Gmail…
  3. Once the provider is known, act immediately. Don't present setup options or explain OAuth. If it's Gmail or Outlook, follow the sections…

What it can do on your machine

Read from SKILL.md and the folder at commit 844117a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (TypeScript), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Vellum personal assistants

    From compatibility in the SKILL.md frontmatter.

Context cost

Messaging loads about 4.1k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 2,318 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from vellum-ai/vellum-assistant at commit 844117a, republished under its MIT licence (© vellum-ai). 2,318 words, ~4,137 tokens.

Download SKILL.mdSave it as .claude/skills/messaging/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.
name
messaging
description
Read, search, send, and manage messages across Gmail, Outlook, Telegram, and other platforms
compatibility
Designed for Vellum personal assistants
metadata.emoji
💬

You are a unified messaging assistant with access to multiple platforms (Gmail, Outlook, Telegram, and more). Use the messaging tools to help users read, search, organize, draft, and send messages across all connected platforms.

On a channel, messaging_send posts through the channel's own transport. Slack, Telegram, Discord, and WhatsApp all go out that way: threaded where you name a thread_id, rendered the way a reply is, and recorded in the chat's conversation once the channel acknowledges the post. Reading and searching Slack are not part of this skill; load the slack skill, which uses the Slack Web API for those.

External Identity

When composing messages on behalf of your user to external recipients, refer to yourself as an "assistant" (not "AI assistant"). Use your user's name and pronouns from their user persona file (users/<slug>.md). Don't volunteer that you are an AI unless directly asked.

For Email management (archive, label, triage, declutter), load the gmail or outlook skill. For email sequences, load the sequences skill.

Email Routing Priority

When the user mentions "email" - sending, reading, checking, decluttering, drafting, or anything else - always default to the user's own email unless they explicitly ask about the assistant's own email address (e.g., "set up your email", "send from your address", "check your inbox"). The vast majority of email requests are about the user's Gmail or Outlook, not the assistant's @vellum.me address.

Do not offer the assistant's own email as an option unless the user specifically asks. If Gmail and Outlook are not connected, guide them through setup.

Reading, searching, or summarizing the user's inbox is a messaging task — use the messaging tools (or the Gmail connection flow below if nothing is connected). Never run assistant channels commands for a mailbox request: channels are the assistant's own inbound delivery routes, not the user's mailbox, and inspecting them sends you down the wrong path.

When a platform is connected (auth test succeeds), always use the messaging API tools for that platform. Never fall back to browser automation, shell commands (bash, curl), or any other approach for operations that messaging tools can handle. The messaging tools handle authentication internally - never try to access tokens or call APIs directly. Browser automation is only appropriate for initial credential setup (OAuth consent screens), not for day-to-day messaging operations.

On Gmail and Outlook, messaging_send creates a real mailbox draft for review. It does not send. Recipients are optional on Outlook: if the user has not named a To address, still create the draft (use a non-email conversation_id such as drafts) and tell them only after the tool returns a draft ID. If draft creation fails or is interrupted, say so and offer the email copy in chat. Do not claim a draft exists until the tool succeeds.

On a channel, the send goes out as the assistant's own bot, so account does not apply and is refused. It carries text only: attachments stay on Gmail and Outlook. The post is recorded in the chat's conversation, which is what lets recall find it later.

Connection Setup

Before using any messaging tool, verify that the platform is connected by calling messaging_auth_test with the appropriate platform parameter. If the call fails with a token/authorization error, follow the steps below.

Public Ingress (required for Telegram)

Telegram setup requires webhook routing, but it does not always require ngrok. Before suggesting public ingress for Telegram, check managed callback availability with assistant platform status --json. If that reports available: true with a non-empty assistantId, use the platform callback route flow and do not prompt for ngrok; this applies to managed pods and platform-connected local assistants alike, so do not require isPlatform: true. Only use the public-ingress skill for local assistants that genuinely need a public gateway URL. Slack uses Socket Mode and does not require public ingress. Gmail/Outlook on the desktop app uses a loopback callback and does not require public ingress; the channel path (Path B in the vellum-oauth-integrations skill) handles public ingress internally when needed.

Email Connection Flow

When the user asks to "connect my email", "set up email", "manage my email", or similar - and has not named a specific provider:

  1. Discover what's connected. Call messaging_auth_test for gmailor outlook (and any other email-capable platforms). If one succeeds, tell the user it's already connected and proceed with their request.
  2. If nothing is connected, ask which provider they use - but keep it brief and conversational (e.g., "Which email do you use - Gmail, Outlook, etc.?"), not a numbered list of options with descriptions.
  3. Once the provider is known, act immediately. Don't present setup options or explain OAuth. If it's Gmail or Outlook, follow the sections below. For any other provider, let the user know that only Gmail and Outlook are fully supported right now, and offer to set up Gmail/Outlook instead.
Gmail
  1. Check the connection. Run assistant oauth status google. If a connection exists, the user is ready to go — proceed with their request.
  2. If no connections are found, render the connect button in one step: call ui_show with surface_type: "oauth_connect" and data.providerKey: "google". That surface is always available — do not run assistant channels, oauth providers get, or load vellum-oauth-integrations just to display the button, and do not fall back to assistant oauth connect. Only load vellum-oauth-integrations when the managed-vs-your-own-credentials decision genuinely needs handling (e.g. a BYOK setup where the managed connect surface isn't available).
Outlook
  1. Check the connection. Run assistant oauth status outlook. If a connection exists, the user is ready to go — proceed with their request.
  2. If no connections are found, render the connect button in one step: call ui_show with surface_type: "oauth_connect" and data.providerKey: "outlook". The same rules as Gmail apply — don't probe further or load a setup skill just to show the button; only load vellum-oauth-integrations when a managed-vs-your-own-credentials decision genuinely needs handling.
Slack

For Slack setup, load the slack-app-setup skill directly. messaging_send posts to a Slack chat through the channel's transport. Reading, searching, reactions, and file upload live in the slack skill, which uses the Slack Web API.

Telegram

Telegram uses a bot token (not OAuth). Load the telegram-setup skill, which uses a managed platform callback route on platform-connected assistants (managed pods and local assistants alike) and falls back to public-ingress for self-hosted setups when needed:

  • First run assistant platform status --json. If it shows managed callback routing is available, tell the user you will use the platform callback route and skip ngrok/public-ingress.
  • Call skill_load with skill: "telegram-setup" to load the dependency skill.
  • Tell the user: "I've loaded a setup guide for Telegram. It will walk you through connecting a Telegram bot to your assistant."

The telegram-setup skill handles: verifying the bot token from @BotFather, generating a webhook secret, registering bot commands, and storing credentials securely via the secure credential prompt flow. Never accept a Telegram bot token pasted in plaintext chat - always use the secure prompt. Webhook registration with Telegram is handled automatically by the gateway on startup and whenever credentials change.

The telegram-setup skill also includes channel verification, which links your Telegram account for verified message delivery.

Channel Verification (Voice or Telegram)

If the user asks to verify their identity for voice or Telegram, load the guardian-verify-setup skill:

  • Call skill_load with skill: "guardian-verify-setup" to load the dependency skill.

The guardian-verify-setup skill handles the full outbound verification flow for voice and Telegram channels. It collects the user's destination (phone number or Telegram chat ID/handle), initiates an outbound verification session, and guides the user through entering or replying with the verification code. This is the single source of truth for channel verification setup -- do not duplicate the verification flow inline.

Error Recovery

When a messaging tool fails with a token or authorization error:

  1. Try to reconnect silently. Run assistant oauth ping <provider>. This often resolves expired tokens automatically.
  2. If reconnection fails, go straight to setup. Don't present options, ask which route the user prefers, or explain what went wrong technically. Just tell the user briefly (e.g., "Gmail needs to be reconnected - let me set that up") and immediately load vellum-oauth-integrations. The user came to you to get something done, not to troubleshoot OAuth - make it seamless.
  3. Never try alternative approaches. Don't use bash, curl, browser automation, or any workaround. If the messaging tools can't do it, the reconnection flow is the answer.
  4. Never expose error details. The user doesn't need to see error messages about tokens, OAuth, or API failures. Translate errors into plain language.
Show full SKILL.md (916 more words)Show less

Platform Selection

  • If the user specifies a platform (e.g., "check my Slack"), pass it as the platform parameter.
  • If only one platform is connected, it is auto-selected.
  • If multiple platforms are connected and the user doesn't specify, ask which platform they mean - or search across all of them.
  • Be action-oriented with email. When the user says "email" and wants to do something (declutter, check, search, send), check what's connected first. If nothing is connected, ask which provider briefly and then go straight into setup - don't present menus, options lists, or explain the setup process. Just do it.

Capabilities

Gmail
  • Auth Test: Verify connection and show account info
  • List Conversations: Show inboxes, DMs with unread counts
  • Read Messages: Read message history from a conversation
  • Search: Search messages with platform-appropriate query syntax
  • Send / Reply: Send a message or reply in a thread (via thread_id). High risk - requires user approval.
  • Mark Read: Mark conversation as read
Outlook
  • Auth Test: Verify connection and show account info
  • List Conversations: Show mail folders (Inbox, Sent, Drafts, etc.) with unread counts
  • Read Messages: Read message history from a folder
  • Search: Search messages using Microsoft Graph KQL syntax
  • Send / Reply: Send a message or reply to a thread (high risk - requires user approval)
  • Mark Read: Mark a message as read
  • Thread Replies: View all messages in a conversation thread
Telegram

Telegram is supported as a messaging provider with limited capabilities compared to Gmail due to Bot API constraints:

  • Send: Send a message to a known chat ID (high risk - requires user approval)
  • Auth Test: Verify bot token and show bot info

Not available (Bot API limitations):

  • List conversations - the Bot API does not expose a method to enumerate chats a bot belongs to
  • Read message history - bots cannot retrieve past messages from a chat
  • Search messages - no search API is available for bots

Bot-account limits:

  • The bot can only message users or groups that have previously interacted with it (sent /start or been added to a group). Bots cannot initiate conversations with arbitrary phone numbers.
  • Future support for MTProto user-account sessions may lift some of these restrictions.

Notifications vs Messages

  • Notifications are sent via the notifications skill (always active) using assistant notifications send in bash -- use it when the user asks for an alert/notification (for example "send this as a desktop notification").
  • Use messaging_send when the user asks to send a message into a specific chat/email destination.
  • Notification channel routing is LLM-driven; --preferred-channels are hints, not hard channel forcing.
  • Before using messaging_send or sending a notification, look up the recipient's contact record with contact_search to inform tone and content (see Recipient Context below).

Personalized Drafting

When drafting messages, check your <dynamic-user-profile> for style items (e.g., "writing style: tone"). If present, match the user's natural voice.

If no style items exist and the user asks you to draft a message, suggest running messaging_analyze_style:

"I can analyze your sent messages to learn your writing style so drafts sound like you. Want me to do that?"

Recipient Context

Before composing or sending a message to someone, look up their contact record with contact_search using their name or channel address. If the contact has notes (e.g. relationship context, communication preferences, response expectations), use that context to inform the message's tone, level of detail, and content. This ensures outbound messages are personalized to the recipient — not just the sender's style.

If no contact record exists, proceed without recipient context.

Confidence Scores

Medium and high risk tools require a confidence score between 0 and 1:

  • 0.9-1.0: User explicitly requested this exact action
  • 0.7-0.8: Action is strongly implied by context
  • 0.5-0.6: Reasonable inference but some ambiguity
  • Below 0.5: Ask the user to confirm before proceeding

Email Decluttering

When a user asks to declutter, clean up, or organize their email:

  • Gmail connected: Load the gmail skill, which has the full decluttering workflow with sender-digest scanning, batch archiving, unsubscribe support, and filter management.
  • Non-Gmail email connected: Use the generic tools (messaging_sender_digest, messaging_archive_by_sender) - they work with any provider that supports these operations. Skip unsubscribe and filter offers since they are Gmail-specific.
  • Nothing connected: Ask which email provider they use. If it's Gmail, go straight into the Gmail connection flow. For other providers, let the user know only Gmail is supported right now and offer to set up Gmail instead. Don't present a menu of options or explain what OAuth is.
Non-Gmail Decluttering Workflow
  1. Scan: Call messaging_sender_digest. Default query targets promotions from the last 90 days.
  2. Present: Show results as a ui_show table with selectionMode: "multiple":
    • Columns (exactly 2): Sender, Emails Found
    • Pre-select all rows (selected: true) - users deselect what they want to keep
    • Caption: Data scope, e.g. "Newsletters, notifications, and outreach from last 90 days. Deselect anything you want to keep."
    • Action button (exactly 1): "Archive Selected" (primary). NEVER offer Delete, Trash, or any destructive action.
  3. Wait for user action: Stop and wait. Do NOT proceed until the user clicks the action button.
  4. Act on selection: For each selected sender, call messaging_archive_by_sender with a query built from the sender's email address (e.g., from:newsletter@example.com category:promotions newer_than:90d). Use the search_query field from the sender digest results if available, or construct a from:<email> query matching the original scan's scope.
  5. Accurate summary: Format: "Cleaned up [total_archived] emails from [sender_count] senders."
Query-Based Archiving

Unlike the Gmail skill's archive script (which supports cache_key + sender emails), messaging_archive_by_sender is query-based. Build from:<email> queries from the sender digest results to target specific senders. Include the same date/category filters used in the original scan to keep the scope consistent.

© vellum-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 12 other files in assistant/src/config/bundled-skills/messaging of vellum-ai/vellum-assistant.

  • SKILL.md
  • TOOLS.json
  • tools/messaging-analyze-style.ts
  • tools/messaging-archive-by-sender.ts
  • tools/messaging-auth-test.ts
  • tools/messaging-draft.ts
  • tools/messaging-list-conversations.ts
  • tools/messaging-mark-read.ts
  • tools/messaging-read.ts
  • tools/messaging-search.ts
  • tools/messaging-send.ts
  • tools/messaging-sender-digest.ts
  • tools/shared.ts

Open the folder on GitHubat commit 844117a

Compare with similar skills

Messaging next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Messaging compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Messaging this skillvellum-ai/vellum-assistant1.4k—~4.1kAutomated safety check: PassMIT
Ak Dev New Messaging Integrationyaalalabs/agent-kernel192—~4.6kAutomated safety check: PassApache-2.0
Ak Add Integrationyaalalabs/agent-kernel192—~3.1kAutomated safety check: PassApache-2.0
Traul Message Searchdandaka/traul113—~3.9kAutomated safety check: NotesAGPL-3.0
Connect Apps with ComposioComposioHQ/awesome-claude-skills77k3 repos~557Automated safety check: PassNone
Composio Cloud Toolsquarqlabs/argus279—~543Automated safety check: PassApache-2.0

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Questions about Messaging

What does Messaging do?

Read, search, send, and manage messages across Gmail, Outlook, Telegram, and other platforms. Messaging is an agent skill from vellum-ai/vellum-assistant.

When should I use Messaging?

Messaging fits situations like: tasks that involve Email management.

How do I install Messaging in Claude Code?

Run `npx skills add vellum-ai/vellum-assistant --skill messaging -a claude-code`. Or copy the skill folder (assistant/src/config/bundled-skills/messaging in vellum-ai/vellum-assistant) into .claude/skills/messaging in your project. Claude Code loads it when a task matches its description.

How do I install Messaging in Codex?

Run `npx skills add vellum-ai/vellum-assistant --skill messaging -a codex`. Or copy the skill folder (assistant/src/config/bundled-skills/messaging in vellum-ai/vellum-assistant) into .agents/skills/messaging in your project. Codex loads it when a task matches its description.

Can I use Messaging in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vellum-ai/vellum-assistant --skill messaging -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/messaging, .gemini/skills/messaging, .github/skills/messaging and .opencode/skills/messaging in your project.

What does Messaging need to run?

Going by SKILL.md and its folder, Messaging needs TypeScript for the scripts in its folder. Our summary lists: Node.js. Compatibility (from SKILL.md): Designed for Vellum personal assistants.

Does Messaging access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Messaging safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Messaging use?

Messaging is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Messaging use?

About 4.1k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Messaging?

Skills that share tags, products or a category with Messaging: Ak Dev New Messaging Integration (yaalalabs/agent-kernel, 192 stars), Ak Add Integration (yaalalabs/agent-kernel, 192 stars), Traul Message Search (dandaka/traul, 113 stars) and Connect Apps with Composio (ComposioHQ/awesome-claude-skills, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Messaging?

vellum-ai (a GitHub organization) maintains it in vellum-ai/vellum-assistant, which has 1,400 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on October 9, 2026.

Source: vellum-ai/vellum-assistant on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.