dispatcher-v2 for Openclaw

A high-integrity three-layer orchestrator that separates task dispatching from execution and verification to ensure reliable project completion.

lovenini12344-code
v1.0.0
Apr 5, 2026
0
720
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install dispatcher-v2

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 dispatcher-v2 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 dispatcher-v2?

dispatcher-v2 is the primary orchestrator for the OpenClaw architecture, designed to solve the common issue of AI agents claiming completion without actual execution. By enforcing a strict separation of concerns, the dispatcher acts solely as a manager that delegates tasks to specialized sub-agents while mandating independent verification.

This skill is a cornerstone of the Openclaw Skills ecosystem, providing a robust framework where execution, verification, and status tracking are handled by distinct, specialized layers. It ensures that no task is reported as finished until a separate verifier agent confirms the work against the intended goals.

dispatcher-v2 Use Cases

  • Managing complex multi-file development tasks across different specialized agents.
  • Ensuring core configuration changes in files like RULES.md or AGENTS.md are verified before reporting success.
  • Recovering from system crashes using persistent progress tracking files that act as a source of truth.
  • Synchronizing project state between external IDEs like Cursor and the agent environment.

How dispatcher-v2 Works

  1. The dispatcher receives a task and categorizes it into a difficulty level (S, A, B, C, or D) based on complexity.
  2. A detailed plan and execution path are presented to the user for confirmation and authorization.
  3. A progress file is initialized in the memory directory to serve as the persistent source of truth throughout the lifecycle.
  4. The dispatcher spawns a specialized executor sub-agent to perform the actual coding or configuration work.
  5. Upon completion of execution, a verifier sub-agent is spawned to independently audit the results against the progress checklist.
  6. If the work is PASSED, the dispatcher performs a final sync to daily memory and synchronization files before notifying the user.

dispatcher-v2 Setup

To integrate this skill into your environment, ensure your workspace has the required directory structure for memory persistence. This skill requires the Openclaw Skills runtime to handle sub-agent spawning.

# Create the required memory directory
mkdir -p ~/.openclaw/workspace/memory

# Initialize the progress and regression tracking files
touch ~/.openclaw/workspace/regressions.md
touch ~/.openclaw/workspace/CURSOR_SYNC.md

dispatcher-v2 Data Schema & Taxonomy

The skill organizes its operations through a strict file-based taxonomy to ensure persistence and reliability:

Component Path Purpose
Progress File memory/progress-<slug>.md Stores task goals, start times, and current execution status.
Daily Log memory/YYYY-MM-DD.md Appends a record of completed activities for long-term memory.
Sync File CURSOR_SYNC.md Manages state synchronization between OpenClaw and the IDE.
Regression Log regressions.md Records protocol violations and verification failures for future optimization.

dispatcher-v2 Advanced Features

  • Automated Crash Recovery: Active progress monitoring allows the dispatcher to resume tasks after session interruptions or model timeouts.
  • Hierarchical Task Grading: Intelligent categorization ensures that simple queries bypass heavy protocols while complex changes require strict verification.
  • Multi-Agent Spawning: Dynamically assigns work to specialized agents (alpha, bravo, charlie, etc.) based on the technical domain of the task.
  • Fail-Safe Mechanisms: Includes retry logic (up to 3 times) for failed verifications and blocks tasks requiring human intervention if automated fixes fail within Openclaw Skills.

SKILL.md


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