A sophisticated behavioral skill that enables AI agents to intelligently decide when to participate in a conversation and when to remain silent.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install response-timing
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install response-timing 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 Response Timing?
The Response Timing skill serves as the social etiquette layer for AI agents, particularly those operating within multi-user platforms like Feishu or Lark. Its core principle is simple but powerful: only respond when spoken to and avoid unnecessary interruptions. By implementing this logic, developers can ensure their Openclaw Skills behave like professional team members rather than intrusive bots.
This skill provides a framework for analyzing message triggers, task ownership, and conversational context. It helps agents distinguish between direct requests, mentions of other team members, and general group discussions. By effectively managing the NO_REPLY state, the agent maintains a high-value presence without contributing to chat noise, ensuring that when it does speak, its contribution is relevant and expected.
Response Timing Use Cases
- Managing agent presence in high-volume team group chats to prevent automated spam.
- Filtering requests in environments where multiple specialized bots are present.
- Automatically stepping in during urgent situations even when not explicitly mentioned.
- Handling follow-up requests for ongoing tasks without requiring repeated @ mentions.
How Response Timing Works
- The skill first scans incoming messages for direct @ mentions or the use of the agent's specific name or aliases.
- It evaluates if the message context falls within the agent's assigned area of responsibility, such as project coordination or document management.
- The logic checks for the presence of other bot mentions or clear indications that the user is addressing a human colleague.
- In cases of ambiguity, the skill analyzes signal strength based on professional expertise requirements and multi-person mention patterns.
- If the criteria for engagement are met, the agent generates a concise response; otherwise, it returns a NO_REPLY signal to remain silent.
Response Timing Setup
To deploy this interaction logic within your Openclaw Skills environment, add the following configuration to your agent's skill manifest:
# Install the response timing logic
openclaw install skill-response-timing
You must then define your agent's identity in the configuration file:
{
"identity": {
"name": "YourBotName",
"aliases": ["Assistant", "Coordinator"],
"responsibilities": ["scheduling", "task-tracking"]
}
}
Response Timing Data Schema & Taxonomy
The skill utilizes a structured approach to evaluate conversational triggers and maintain context:
| Attribute | Type | Description |
|---|---|---|
direct_mention |
Boolean | True if the agent is @ mentioned or named directly. |
responsibility_match |
Boolean | True if the topic matches the agent's configured expertise. |
exclusion_triggers |
Array | List of names or topics that signal the agent should stay silent. |
urgency_keywords |
Array | High-priority terms (e.g., ASAP) that may trigger an override. |
state_output |
String | Either a generated response or the NO_REPLY constant. |
Response Timing Advanced Features
- Contextual Continuity: Remembers recent task history to engage in ongoing threads without requiring a mention in every message.
- Proactive Urgency Detection: An override mechanism that allows the agent to offer help during critical failures or urgent requests (ASAP) even if not directly addressed.
- Conflict Resolution: Intelligent yielding logic that prevents multiple Openclaw Skills from responding to the same query simultaneously.
- Polite Clarification: A specific trigger for ambiguous situations where the agent can ask if its assistance is required instead of guessing.
SKILL.md
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