A sophisticated reasoning framework that dynamically adapts response structures based on question types to deliver evidence-based, natural-sounding answers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install answer-framework
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 answer-framework 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 Smart Answering Framework?
The Smart Answering Framework is a specialized skill designed to transform raw AI outputs into logically structured, high-clarity communication. By integrating this into Openclaw Skills, developers can ensure their agents don't just provide data, but offer contextually relevant reasoning. It bridges the gap between mechanical data retrieval and human-like critical thinking, ensuring every response is backed by evidence while maintaining a natural flow.
This framework utilizes a bilingual approach and advanced style control, allowing the agent to shift between concise summaries and detailed reasoning based on user intent. It is an essential tool for anyone building AI agents that require high levels of credibility and user trust.
Smart Answering Framework Use Cases
- Providing factual answers with verifiable data points
- Explaining complex 'why' or 'how' processes through structured reasoning
- Comparing two or more entities (e.g., programming languages or products) with clear pros and cons
- Formulating balanced opinions on subjective or controversial topics
- Clarifying vague user prompts through proactive inquiry frameworks
How Smart Answering Framework Works
- The system identifies the question type (Factual, Explanatory, Comparison, Opinion, or Clarification) from the user input.
- It selects the optimal response framework, such as the Comparison Framework or the Argumentation Framework.
- The agent activates the visual brain emoji indicator to signify the skill is in use.
- It synthesizes evidence-based content using natural transitions instead of rigid labels.
- The response is finalized after passing through an internal quality checklist for logical completeness and tone alignment.
Smart Answering Framework Setup
To integrate this framework into your agent, include the skill definition in your configuration. You can activate specific modes using implicit triggers in your queries.
# Example of triggering the concise mode within an Openclaw Skills environment
# Input: "Briefly explain the blockchain..."
# Example of triggering the comparison mode
# Input: "Compare React vs Vue..."
Smart Answering Framework Data Schema & Taxonomy
The framework organizes its logic into the following structure to ensure consistency across Openclaw Skills:
| Component | Description |
|---|---|
| Trigger | Keywords or query styles that select the adaptation mode |
| Stance/Conclusion | The direct response to the user's primary question |
| Evidence | Verifiable data, research, or specific examples provided |
| Reasoning | The logical path connecting the evidence to the conclusion |
| Counterpoint | Balanced considerations for opinion-based queries |
Smart Answering Framework Advanced Features
- Dynamic style adjustment ranging from concise snippets to expanded technical reasoning
- Real-time adjustment commands to shorten, elaborate, or provide examples on the fly
- Bilingual support for seamless interaction in mixed-language environments
- Natural transition logic that replaces robotic labels with conversational connectors
- Integrated quality self-check protocol for credibility and expression quality
SKILL.md
Loading
Related Openclaw Skills
Python Code Review
An expert AI reviewer that enforces PEP8 standards, type safety, and efficient async patterns in Python codebases.
Construction Safety Checklist
A conversational AI tool that guides site supervisors through a 10-category safety inspection to generate professional HSE reports with automated severity classification.
Social Growth Ops
A professional-grade content operations engine for planning, drafting, and safely automating multi-platform social media growth.
QR Code Generator Skill
A versatile utility for Openclaw Skills that transforms text, URLs, and WiFi configurations into customizable QR code images.
Lobster Memory Master
Lobster Memory Master is a comprehensive long-term memory management system that transforms stateless AI into a stateful assistant with persistent recall and automated context compaction.
Sora 2 Generate
A professional-grade skill for generating high-fidelity AI videos from text prompts or public image URLs using the Sora 2 engine.
Featured*
