A specialized skill designed to empower AI agents with logical reasoning and structured, clickable citation management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reasoning-answer
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 reasoning-answer 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 Reasoning Answer?
The Reasoning Answer skill is a sophisticated module developed to improve the transparency and reliability of AI-generated content. It forces the agent to adhere to strict reasoning protocols, ensuring that every claim made based on search results is backed by a verifiable source. By integrating this into your Openclaw Skills library, you enable your agent to handle complex queries that require sequential evidence and linguistic consistency with the user.
This skill focuses on transforming search-derived data into a professional format. It manages the lifecycle of a response from identifying the user's language and current date to generating a comprehensive bibliography of references. This ensures that the agent's output is not only logical but also academically and professionally rigorous.
Reasoning Answer Use Cases
- Fact-checking and research-intensive tasks that require clear source attribution.
- Developing knowledge-base agents that must cite specific URLs for every claim.
- Creating multilingual agents that automatically adapt to the user's input language.
- Generating professional reports that require sequential, clickable footnotes and a reference list.
How Reasoning Answer Works
- The skill identifies the user's language and the current system date to establish a precise context.
- It processes incoming queries through a specialized reasoning engine to synthesize relevant information.
- If external search data is utilized, the skill automatically inserts clickable footnotes in the specific
[[Number]](URL)format. - It compiles all used sources into a sequential, numbered reference list at the end of the output, starting from [1].
Reasoning Answer Setup
To deploy the Reasoning Answer skill, ensure your agent environment supports template variable substitution for date and session metadata.
# Example integration within an Openclaw Skills environment
skill install reasoning-answer
Configure your runtime to pass the $DATE$ and $SESSION_GROUP_ID$ variables to the agent during execution to ensure accurate temporal context.
Reasoning Answer Data Schema & Taxonomy
The skill organizes response data and metadata according to the following structure:
| Attribute | Description | Format |
|---|---|---|
| Citation Mark | A clickable footnote following a sentence | [[Number]](URL) |
| References | A sequential list of sources at the end | [Number] URL |
| Language | Auto-detected or user-specified language | ISO String |
| Date Variable | Runtime variable for temporal accuracy | $DATE$ |
Reasoning Answer Advanced Features
- Dynamic language matching to maintain conversational flow without explicit user instructions.
- Sequential citation management ensuring footnotes always start from [1] and follow logical order.
- Runtime variable substitution for high-context awareness in multi-agent workflows.
- Native support for search result synthesis within the Openclaw Skills framework.
SKILL.md
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