"push", "notification", "alert"?
send_push
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Messaging & Queues
Multi-channel messaging for AI agents — push notifications, SMS, webhooks, in-app messages, async queues, and broadcasts.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Orchestrate messaging operations — send push notifications, SMS, webhooks, manage channels, queue messages, and broadcast to groups. Use when sending push notifications, SMS messages, firing webhooks, managing message channels, queuing async tasks, or broadcasting to user groups.
Architecture
How Messaging & Queues guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
Messaging & Queues skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-messaging
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"SMS", "text message"?
send_sms
"webhook", "HTTP callback"?
fire_webhook / subscribe_webhook
"broadcast", "all users", "announce"?
broadcast
"channel", "create channel"?
create_channel
"message", "send to channel"?
send_message / get_messages
"queue", "enqueue", "async task"?
enqueue / dequeue / queue_status
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
011 calls
Push Notification
Alert user on device
021 calls
SMS
Critical text message
031 calls
Webhook
System-to-system callback
041 calls
Broadcast
Message all channel subscribers
051-2 calls
Queue
Async task processing
06Use calls
Urgency
Use
Tool boundary
The skill may use 11 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-messaging retains responsibility for authentication, validation, and the connected system.
send_push
broadcast
send_sms
fire_webhook
create_channel
send_message
get_messages
enqueue
dequeue
queue_status
subscribe_webhook
Working rules
What the agent should do.
- Confirm delivery status on every send
- Monitor queue depth (alert if growing)
- Use appropriate channel (push for urgent, SMS for critical, webhook for systems)
- Rate limit broadcasts (don't spam)
Operating boundaries
What the agent should avoid.
- Don't send SMS for non-critical messages (cost)
- Don't let queues grow unbounded (monitor and alert)
- Don't fire webhooks without verifying endpoint is reachable
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-messaging, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-messaging-queues.git \
~/.skills/skills/messaging-queuesADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("messaging-queues").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-messaging server connected.
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 11
- References
- 3
- Revision
- 9e6b067679fa
- Updated
- May 31, 2026