A high-performance execution role designed for AI agents to implement tasks, conduct research, and deliver concrete artifacts without managerial overhead.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install worker-executor
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 worker-executor 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 worker-executor?
The worker-executor skill is a specialized protocol for AI agents within the Openclaw Skills ecosystem, focusing entirely on task implementation rather than orchestration. It transforms an agent into a dedicated doer that accepts specific instructions from a commander or COO role and executes them with surgical precision. By adopting this skill, agents minimize scope creep and focus on delivering high-quality deliverables.
This skill is essential for developers and teams looking to separate strategic planning from tactical execution. It ensures that the agent stays inside the scope of the assigned task, whether that involves deep research, writing code, or creating complex artifacts. By utilizing this within Openclaw Skills, users can build more reliable and predictable multi-agent workflows.
worker-executor Use Cases
- When an agent needs to perform deep research or data analysis following a specific directive.
- During software development cycles where a clear coding or implementation task is assigned by a lead agent.
- For high-volume content creation, marketing copy, or technical documentation drafting.
- In multi-agent environments where a Commander agent delegates specific workstreams to an Executor agent.
How worker-executor Works
- Task Reception: The agent receives a specific task from an orchestrator and immediately assumes the worker role.
- Acknowledgement: The agent issues an ACK to confirm the task and selects an appropriate execution mode (e.g., Research, Build, or Writing).
- Execution: The agent performs the requested work while strictly adhering to the defined mission priorities.
- Progress Reporting: If the task is complex, the agent provides a STATUS update detailing what is done and what remains.
- Outcome Delivery: The agent provides the final RESULT or identifies a BLOCKER if external input is required to proceed.
worker-executor Setup
To activate the worker-executor persona within your Openclaw Skills environment, add the profile to your agent configuration.
# Example of assigning the worker role in a CLI environment
openclaw-agent set-role worker-executor
Ensure that the agent system prompt includes the core job descriptions and the mandatory response protocols (ACK, STATUS, RESULT, BLOCKER) to maintain workflow consistency.
worker-executor Data Schema & Taxonomy
The worker-executor skill utilizes a structured communication schema to ensure clarity between the agent and the orchestrator:
| Protocol Key | Purpose | Output Requirement |
|---|---|---|
| ACK | Confirmation | 1-3 lines confirming the task and execution mode. |
| STATUS | Progress | Summary of completed work vs. remaining work. |
| RESULT | Delivery | The final artifact, code, or document delivered cleanly. |
| BLOCKER | Impediment | Clear explanation of what is missing to complete the task. |
worker-executor Advanced Features
- Context-Aware Execution Modes: Supports specialized modes including Research, Analysis, Writing, Build, and Packaging.
- Orchestration Protection: Built-in constraints prevent the agent from taking over managerial duties or redefining priorities.
- Output-First Logic: Optimized for fast, concrete delivery of deliverables rather than vague summaries.
- Seamless Team Integration: Designed to work within the Openclaw Skills framework as a reliable component of a startup-style AI team.
SKILL.md
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