Ak Dev New Messaging Integration
yaalalabs/agent-kernel
Step-by-step guide for adding a new messaging platform integration to Agent Kernel.
Read, search, send, and manage messages across Gmail, Outlook, Telegram, and other platforms
$ npx skills add vellum-ai/vellum-assistant --skill messaging -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vellum-ai/vellum-assistant messaging --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "messaging" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/messaging into .claude/skills/messaging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/messagingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vellum-ai/vellum-assistant --skill messaging -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vellum-ai/vellum-assistant messaging --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .agents/skills && cp -r skills-src/assistant/src/config/bundled-skills/messaging .agents/skills/messaging && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "messaging" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/messaging into .agents/skills/messaging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vellum-ai/vellum-assistant --skill messaging -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vellum-ai/vellum-assistant messaging --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/assistant/src/config/bundled-skills/messaging .cursor/skills/messaging && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "messaging" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/messaging into .cursor/skills/messaging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vellum-ai/vellum-assistant.git --path assistant/src/config/bundled-skills/messaging--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vellum-ai/vellum-assistant --skill messaging -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vellum-ai/vellum-assistant messaging --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/assistant/src/config/bundled-skills/messaging .gemini/skills/messaging && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "messaging" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/messaging into .gemini/skills/messaging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vellum-ai/vellum-assistant messagingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vellum-ai/vellum-assistant --skill messaging -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .github/skills && cp -r skills-src/assistant/src/config/bundled-skills/messaging .github/skills/messaging && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "messaging" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/messaging into .github/skills/messaging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vellum-ai/vellum-assistant --skill messaging -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vellum-ai/vellum-assistant messaging --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/assistant/src/config/bundled-skills/messaging .opencode/skills/messaging && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "messaging" agent skill from https://github.com/vellum-ai/vellum-assistant/tree/main/assistant/src/config/bundled-skills/messaging into .opencode/skills/messaging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
messagingRead, search, send, and manage messages across Gmail, Outlook, Telegram, and other platforms
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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 844117a. It shows what the files ask for, not the result of running them.
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.
Ships script files (TypeScript), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Vellum personal assistants
From compatibility in the SKILL.md frontmatter.
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.
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.
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.
The full file from vellum-ai/vellum-assistant at commit 844117a, republished under its MIT licence (© vellum-ai). 2,318 words, ~4,137 tokens.
.claude/skills/messaging/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.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.
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.
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.
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.
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.
When the user asks to "connect my email", "set up email", "manage my email", or similar - and has not named a specific provider:
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.assistant oauth status google. If a connection exists, the user is ready to go — proceed with their request.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).assistant oauth status outlook. If a connection exists, the user is ready to go — proceed with their request.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.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 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:
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.skill_load with skill: "telegram-setup" to load the dependency skill.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.
If the user asks to verify their identity for voice or Telegram, load the guardian-verify-setup skill:
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.
When a messaging tool fails with a token or authorization error:
assistant oauth ping <provider>. This often resolves expired tokens automatically.platform parameter.thread_id). High risk - requires user approval.Telegram is supported as a messaging provider with limited capabilities compared to Gmail due to Bot API constraints:
Not available (Bot API limitations):
Bot-account limits:
/start or been added to a group). Bots cannot initiate conversations with arbitrary phone numbers.assistant notifications send in bash -- use it when the user asks for an alert/notification (for example "send this as a desktop notification").messaging_send when the user asks to send a message into a specific chat/email destination.--preferred-channels are hints, not hard channel forcing.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).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?"
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.
Medium and high risk tools require a confidence score between 0 and 1:
When a user asks to declutter, clean up, or organize their email:
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.messaging_sender_digest. Default query targets promotions from the last 90 days.ui_show table with selectionMode: "multiple":selected: true) - users deselect what they want to keepmessaging_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.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
SKILL.md and 12 other files in assistant/src/config/bundled-skills/messaging of vellum-ai/vellum-assistant.
Open the folder on GitHubat commit 844117a
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Messaging this skillvellum-ai/vellum-assistant | 1.4k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Ak Dev New Messaging Integrationyaalalabs/agent-kernel | 192 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Ak Add Integrationyaalalabs/agent-kernel | 192 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Traul Message Searchdandaka/traul | 113 | — | ~3.9k | Automated safety check: Notes | AGPL-3.0 | |
| Connect Apps with ComposioComposioHQ/awesome-claude-skills | 77k | 3 repos | ~557 | Automated safety check: Pass | None | |
| Composio Cloud Toolsquarqlabs/argus | 279 | — | ~543 | Automated safety check: Pass | Apache-2.0 |
yaalalabs/agent-kernel
Step-by-step guide for adding a new messaging platform integration to Agent Kernel.
yaalalabs/agent-kernel
Add a messaging platform integration to an existing Agent Kernel project.
dandaka/traul
Drives the traul CLI to sync, search and monitor messages from Slack, Telegram, Discord, Linear, Gmail, WhatsApp, Claude Code sessions and Markdown files.
ComposioHQ/awesome-claude-skills
Connects an agent to 1000+ external apps through the Composio Tool Router plugin, so it can actually send emails, create issues and post messages instead of only drafting them.
quarqlabs/argus
Routes requests to external SaaS apps such as GitHub, Gmail, Google Calendar, Slack, Notion and Linear through cloud tools, with safeguards on irreversible actions.
topoteretes/cognee
Turn your latest Granola call into next steps (owner, team, due date, and the Linear issue that already tracks each one) and post them to Slack, using cognee memory of your calls, Linear issues and…
vellum-ai/vellum-assistant
Create and configure a GitHub App so the assistant can push commits, open PRs, and comment under its own bot identity.
vellum-ai/vellum-assistant
Connect a Discord bot to the assistant via the Discord Gateway with guided application creation and intent configuration
vellum-ai/vellum-assistant
Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity
vellum-ai/vellum-assistant
Ingest a large dataset into memory as a skimmed map. An agent skill from vellum-ai/vellum-assistant.
vellum-ai/vellum-assistant
A skill your agent uses when the user wants to build, scaffold, ship, or edit a Vellum plugin that bundles multiple surfaces (hooks, tools, skills, and more) into one installable package.
vellum-ai/vellum-assistant
Connect a Slack app to the Vellum Assistant via Socket Mode.
Categories
Read, search, send, and manage messages across Gmail, Outlook, Telegram, and other platforms. Messaging is an agent skill from vellum-ai/vellum-assistant.
Messaging fits situations like: tasks that involve Email management.
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.
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.
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.
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.
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.
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.
Messaging is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
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.
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.
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.