A high-velocity execution protocol that shifts AI agents from conversational assistants to proactive doers by minimizing verbal overhead.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gpt-go
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 gpt-go 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 GPT Go?
GPT Go is a specialized operational mode designed for power users who want their AI agents to prioritize action over conversation. By invoking the /gpt-go command, users activate a persistent state where the agent defaults to execution, effectively bypassing routine confirmations, verbose planning, and repetitive restatements that often slow down the development lifecycle.
This skill is a cornerstone of the Openclaw Skills ecosystem, transforming the AI from a cautious assistant into a high-throughput execution engine. It is particularly effective for workflows where the environment is inspectable and the next steps are logical and low-risk, allowing the agent to proceed autonomously until a genuine decision boundary is reached.
GPT Go Use Cases
- Rapid refactoring or fixing of known bugs where the solution is evident.
- Automated environment inspection and setup without back-and-forth questioning.
- High-speed prototyping where the user provides short, punchy directives to keep the momentum.
- Batch processing of repetitive technical tasks that require tool-based execution.
- Minimizing AI chatter during deep work sessions to focus strictly on results.
How GPT Go Works
- The user activates the mode by sending the /gpt-go command in the chat.
- The agent adopts a high-bias toward action, treating short affirmative phrases as authorization to proceed.
- The agent proactively uses tools to inspect the environment (files, repos, services) instead of asking the user for details.
- Natural working chunks are completed in full rather than stopping after every sub-step.
- The agent provides concise, result-oriented feedback, only pausing for high-risk boundaries or critical missing information.
GPT Go Setup
To enable GPT Go within your environment, ensure your agent has access to the skill definition and invoke it via the CLI or chat interface:
# Invoke the mode directly in your AI agent conversation
/gpt-go
# To revert to standard mode, simply request a different style
/standard
GPT Go Data Schema & Taxonomy
GPT Go operates on a minimal metadata footprint to ensure speed. It organizes its internal logic based on the following taxonomy:
| Attribute | Description |
|---|---|
| Mode State | Persistent boolean (Active/Inactive) for the duration of the session. |
| Authorization | Mapping of short-form strings (e.g., 'go on', 'fix it') to execution triggers. |
| Risk Threshold | Predetermined boundaries for destructive or external actions that require a pause. |
| Tool Bias | Priority ranking for tool-based discovery over user-prompted facts. |
GPT Go Advanced Features
- Persistent Session State: The execution mode remains active across multiple turns until explicitly overridden.
- Multilingual Directive Support: Recognizes execution authorizations in both English and Chinese.
- Automated Environment Discovery: Automatically checks for deployment types, file paths, and repo states.
- Intelligent Pause Boundaries: Strategically stops only for high-stakes actions like credential handling or production deployment.
SKILL.md
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