message-operations

Send single or bulk messages to AI agents and retrieve conversation history.

45|4|Updated Dec 1, 2025

Search Tags:#messaging #state management #communication #agent #history #conversation

Ready to run

npx skills add https://github.com/nouamanecodes/lettactl --skill message-operations

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: message-operations
Source: https://github.com/nouamanecodes/lettactl/tree/main/.skills/message-operations
Command: npx skills add https://github.com/nouamanecodes/lettactl --skill message-operations

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of interacting with AI agents by providing tools to send messages, view conversation histories, and manage message states efficiently.

Core Features & Use Cases

Send Messages: Communicate with individual agents or broadcast messages to multiple agents.
View History: Access past conversations to understand context and track interactions.
Manage State: Reset or compact message history to control context window usage and memory.
Use Case: Quickly send a query to your 'support-agent' and review the last 20 messages to ensure it's on the right track.

Quick Start

Send a message to the agent named 'my-agent' with the content 'What is the current status?'.

Frequently Asked Questions about message-operations

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I send a message to an AI agent and retrieve its conversation history?▼

To send a message to an AI agent, use specific commands to target the agent by name. You can retrieve conversation history to review past interactions and verify the agent's response context.

What is message context compaction in agent communication?▼

Message context compaction is a state management operation that summarizes or reduces conversation history. It controls context window usage and memory to maintain efficient agent communication.

Can I broadcast a single message to multiple agents at once?▼

Yes, you can broadcast messages to multiple agents simultaneously. This bulk messaging feature allows you to send a single query to several agents at once rather than messaging them individually.

How do I reset the conversation state for an AI agent?▼

You can reset the message state using a specific state management command. This operation clears the conversation history, allowing you to start a new interaction thread without past context.

What is the best way to manage context window limits during agent conversations?▼

The best way to manage context window limits is by compacting message context. This operation reduces the conversation history size, ensuring the agent stays within memory constraints while retaining essential context.

Does this messaging tool support retrieving a specific number of past messages?▼

Yes, the tool supports viewing conversation history with limits. You can retrieve a specific number of past messages, such as the last 20 interactions, to track agent progress and context.