A sophisticated multi-agent coordinator that delegates complex tasks to a pool of five specialized sub-agents using round-robin scheduling.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install respond-first
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 respond-first 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 Respond-First Multi-Agent Dispatcher?
Respond-First is a high-level orchestration skill designed for Openclaw Skills that transforms a standard AI agent into a dedicated command and control center. Instead of performing technical execution like file manipulation or code running directly, the dispatcher acts as a pure coordinator. It manages a persistent pool of five specialized sub-agents—Alpha, Bravo, Charlie, Delta, and Echo—each optimized for specific types of work ranging from heavy computation to research and bug fixing.
By utilizing this skill, developers can create complex multi-agent workflows where the main interface remains responsive and communicative while specialized workers handle the heavy lifting in the background. This architecture ensures high-quality output by routing tasks to the sub-agent best suited for the job, maintaining state through permanent session keys within the Openclaw Skills ecosystem.
Respond-First Multi-Agent Dispatcher Use Cases
- Orchestrating complex software engineering tasks that require simultaneous analysis, coding, and documentation.
- Managing research-heavy projects where data gathering and strategy formulation happen in parallel.
- Creating a responsive AI interface that delegates long-running execution tasks without blocking user interaction.
- Implementing a swarm-like intelligence model for Openclaw Skills where specialized roles are assigned to dedicated persistent sessions.
How Respond-First Multi-Agent Dispatcher Works
- The dispatcher receives a user request and analyzes the required effort and specialization.
- Following strict protocol, the dispatcher first replies to the user in plain text to confirm the assignment.
- A sub-agent is selected from the fixed pool using a round-robin algorithm (Alpha through Echo).
- The dispatcher calls the sessions_spawn tool, passing a self-contained task description and the designated sessionKey.
- The dispatcher stops further output, allowing the system to handle the sub-agent's execution.
- Upon completion, the dispatcher receives a system announcement and summarizes the results for the user.
Respond-First Multi-Agent Dispatcher Setup
To deploy Respond-First within your Openclaw Skills environment, ensure your main agent has the dispatcher skill enabled and access to the session management tools. Use the following configuration steps:
# Ensure your agent environment supports persistent sessions
# Add the respond-first skill to your skill manifest
openclaw install respond-first
No additional credentials are required beyond the standard agent permissions, as the skill leverages internal session routing via fixed keys (alpha, bravo, charlie, delta, echo).
Respond-First Multi-Agent Dispatcher Data Schema & Taxonomy
The Respond-First skill utilizes a specific JSON schema for delegating work to sub-agents within Openclaw Skills. The dispatcher organizes data according to the following structure:
| Field | Type | Description |
|---|---|---|
| task | String | A complete, self-contained description of the work including all necessary context. |
| sessionKey | String | One of the five reserved keys: alpha, bravo, charlie, delta, echo. |
| runTimeoutSeconds | Integer | Always set to 300 to ensure consistent execution windows. |
Each sub-agent maintains its own persistent session state identified by its sessionKey, allowing for sequential tasks to build upon previous work within that specific agent's context.
Respond-First Multi-Agent Dispatcher Advanced Features
- Round-robin scheduling logic that automatically cycles through sub-agents to balance workload distribution.
- Persistent session keys that allow sub-agents like Alpha or Bravo to retain context across multiple delegated tasks.
- Specialized role mapping where tasks are automatically routed to the best-fit agent (e.g., Scout for research, Fixer for bugs).
- Strict 'Speak-First' protocol ensuring the user is never left in the dark during asynchronous Openclaw Skills operations.
SKILL.md
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