Message Communication & Tone Calibration for Openclaw

A sophisticated messaging layer for AI agents that ensures platform-aware formatting, tone matching, and safe escalation for high-stakes communication.

ivangdavila
v1.0.0
Feb 18, 2026
0
1.7k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install message

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install message using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Message Communication & Tone Calibration?

The Message skill acts as a social guardrail for AI agents, preventing common automation disasters like reply-all spam or inappropriate professional tone. It enables agents to communicate across various channels—ranging from Slack and Teams to formal Email—while maintaining the nuances of human interaction. By integrating this within Openclaw Skills, developers can ensure their agents never over-commit to timelines or send high-stakes messages without explicit human review.

Beyond simple drafting, this skill performs deep style analysis of previous messages to replicate the user's specific voice, including their preferred level of brevity and emoji usage. It enforces strict context awareness, ensuring that messages are sent to the correct group chats and that internal metadata or private comments are never leaked to external parties.

Message Communication & Tone Calibration Use Cases

  • High-stakes drafting for communications involving investors, press, and legal counsel.
  • Automated channel routing based on urgency (e.g., Slack for immediate needs vs Email for FYIs).
  • Context-aware group chat participation to avoid social friction and over-communication.
  • Time-zone sensitive message scheduling to respect recipient boundaries and avoid late-night notifications.

How Message Communication & Tone Calibration Works

  1. The agent reads the last five messages in the conversation to calibrate the appropriate tone and stylistic brevity.
  2. It evaluates the urgency of the request against a predefined escalation matrix.
  3. A communication channel is selected (Call, Slack, or Email) based on the required response time.
  4. High-stakes keywords such as urgent, legal, or disappointed trigger a Draft for Review state.
  5. The skill applies platform-specific formatting defined in the platforms configuration file.
  6. Low-stakes messages are dispatched automatically, while commitment-heavy content is queued for manual approval.

Message Communication & Tone Calibration Setup

To integrate this capability into your project using Openclaw Skills, run the following commands in your terminal:

openclaw add message

Ensure you have your calibration files initialized in your skill directory:

touch platforms.md tone.md escalation.md

Message Communication & Tone Calibration Data Schema & Taxonomy

The skill relies on three core Markdown configuration files to govern behavior and organize communication logic:

File Purpose
platforms.md Defines specific formatting rules for Slack, Teams, and Email.
tone.md Stores stylistic preferences, brevity levels, and emoji usage guides.
escalation.md Contains the matrix for identifying high-stakes contacts and urgent scenarios.

Message Communication & Tone Calibration Advanced Features

  • Contextual social signal detection to prevent robotic response times and instant-reply patterns.
  • Automated internal comment scrubbing for forwarded threads to protect internal trust.
  • Dynamic brevity matching to align with recipient communication styles (e.g., matching ok with ok).
  • Multi-agent support for cross-channel escalation workflows using Openclaw Skills.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*