A sophisticated inquiry engine designed to refine questioning techniques through Socratic methodology and bias mitigation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install question
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 question 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 Question Skill?
The Question skill is a robust tool designed for AI agents to facilitate deeper, more meaningful interactions through advanced inquiry techniques. By focusing on the Socratic method, it helps agents move beyond surface-level answers to uncover core truths and hidden assumptions. This skill is a vital component for anyone building high-quality agentic workflows within the Openclaw Skills ecosystem, ensuring that every interaction is purposeful and analytically sound.
At its core, the skill acts as a quality control layer for communication. It identifies leading questions that might skew data and suggests neutral alternatives to maintain objectivity. Whether used for user research or internal knowledge synthesis, this skill ensures that the inquiry process remains rigorous and effective.
Question Skill Use Cases
- Conduct unbiased user research and behavioral interviews by flagging loaded language.
- Execute high-impact sales discovery using SPIN and pain discovery frameworks.
- Facilitate executive coaching or 1:1 sessions using reflective and powerful questioning techniques.
- Support investigative journalism by detecting evasion and probing contradictions in responses.
- Enhance academic learning through decomposition of complex topics and testing of foundational assumptions.
How Question Skill Works
- The skill first identifies the active context, such as research, sales, or coaching, to apply the most relevant questioning framework.
- It evaluates every proposed question against a quality checklist, checking for neutral framing and open-ended structures.
- The system scans for bias or leading language, suggesting alternatives that do not embed desired answers within the question.
- Based on user responses, the skill generates contextually relevant follow-up questions to probe deeper into the subject matter.
- It manages session state by tracking key assumptions that need to be tested and determining when tactical silence is required to extract more information.
Question Skill Setup
To deploy the Question skill within your agent environment, follow these configuration steps to integrate it with your existing Openclaw Skills setup.
# Install the Question skill package
openclaw install skill-question
# Initialize the context guides
openclaw init --skill question
Ensure your local directory contains the necessary Markdown reference files (contexts.md, techniques.md, and anti-patterns.md) to provide the skill with its technical foundation.
Question Skill Data Schema & Taxonomy
The Question skill organizes its logic and state through a structured set of Markdown files and session metadata:
| Component | Description |
|---|---|
contexts.md |
Defines techniques for specific domains like research, sales, and journalism. |
techniques.md |
A library of question patterns and Socratic inquiry frameworks. |
anti-patterns.md |
A reference guide of common questioning mistakes and how to avoid them. |
| Session State | A dynamic object tracking the active context, current topic, and a list of assumptions to test. |
Question Skill Advanced Features
- Context-aware technique loading that adapts inquiry styles based on the specific professional domain.
- Real-time bias detection and correction to ensure neutral data gathering in research environments.
- Automated assumption tracking that maintains a checklist of items to verify throughout a conversation.
- Evasion detection capabilities designed for investigative contexts to surface contradictions in user input.
SKILL.md
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