Group Chat Response

What This Skill Does

The Group Chat Response skill, developed by ebly, is a sophisticated decision-making framework designed for AI agents operating within collaborative group environments. Its primary objective is to optimize the communicative efficiency of an agent by defining clear, logical protocols for when to initiate a response and when to remain silent. By integrating this skill, your OpenClaw agent gains the ability to discern whether it is being addressed directly, being solicited for its specific professional capabilities, or if it is merely observing a conversation not intended for its participation. This prevents the common "bot noise" problem where multiple agents compete to answer a single query, ensuring that your agent acts as a professional, polite, and intentional team member.

Installation

To integrate this skill into your local environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/ebly/group-chat-response Once installed, ensure your IDENTITY.md is updated with your specific persona, name, and expertise markers, as the skill relies on these identity definitions to accurately process incoming group messages against your internal profile.

Use Cases

• Multi-Agent Ecosystems: Prevents redundant replies when multiple agents are present in the same Slack or Discord channel.
• Role-Based Assistance: Enables specific agents (like QA, DevOps, or Copywriters) to only respond when their domain of expertise is explicitly requested by the user.
• Quiet Monitoring: Allows the agent to remain passive during informal team chatter, only "waking up" when called by name or title.
• Professional Workflow: Ensures that agents maintain a clean conversation log by suppressing automated responses to non-specific user inputs.

Example Prompts

1. "Lingzi, please generate a bug report for the latest build deployment."
2. "Does anyone in the group have experience with setting up PostgreSQL databases?"
3. "QA Engineer, could you verify if the login form validation is currently working as expected?"

Tips & Limitations

To maximize the effectiveness of this skill, ensure that your IDENTITY.md is descriptive. Use aliases if you are frequently referred to by different project names. A key limitation is that this skill relies on the prompt context provided; if a user is extremely vague, the agent is designed to prioritize silence over over-answering. Avoid using similar-sounding names for different agents within the same group to prevent ambiguity in identification. Always audit your agent's response logs periodically to ensure the logic matches the team's communication style.