A smart interaction protocol that minimizes user friction by asking up to four clarifying questions before executing high-impact or ambiguous tasks.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install guided-conversation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install guided-conversation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Guided Conversation skill is a sophisticated interaction layer designed to enhance the reliability of autonomous agents within the Openclaw Skills ecosystem. It addresses the common challenge of intent ambiguity by implementing a structured pre-action phase, ensuring that the agent fully understands a user's requirements before performing actions that could be destructive or resource-intensive.
By prioritizing user experience, this skill balances the need for technical precision with the desire for a seamless workflow. It prevents excessive interrogation by strictly limiting the number of follow-up questions, making it an essential tool for developers building high-trust AI systems that require safe execution across file systems, cloud environments, or external APIs.
To integrate this skill into your agent, add it to your manifest and configure the risk parameters. You can initialize the environment using the following command:
openclaw install guided-conversation
Ensure your configuration file includes the following default settings for optimal performance with Openclaw Skills:
# skill.config.json
{
"maxQuestions": 4,
"autoProceedAfterClarity": true,
"requireConfirmationHighRisk": true
}
The Guided Conversation skill maintains a structured state to track the interaction lifecycle and minimize repetitive questioning.
| Parameter | Description | Default |
|---|---|---|
maxQuestions |
The maximum number of clarification cycles allowed per task. | 4 |
riskProfile |
Categorization of the task (Low, High) to determine confirmation requirements. | Risk-based |
contextBuffer |
Stores data already provided by the user to avoid redundant questions. | Memory-mapped |
assumptionsList |
A list of inferred values used when the question limit is reached. | Array |
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