Reasoning Answer

What This Skill Does

The Reasoning Answer skill is a specialized agent capability designed to provide accurate, context-aware, and evidence-based responses. It functions by synthesizing information from external search results and applying logical reasoning to construct well-structured, citation-rich answers. The core strength of this skill lies in its adherence to rigorous formatting standards, ensuring that every claim or piece of information derived from external sources is immediately verified with clickable, sequential footnotes. By maintaining the user's language and utilizing dynamic date-aware processing, it provides a seamless and personalized research experience.

Installation

To integrate the Reasoning Answer skill into your environment, use the OpenClaw CLI tool. Ensure you have the latest version of the toolkit installed before running the following command in your terminal:

clawhub install openclaw/skills/skills/alvinecarn/reasoning-answer

Once installed, the skill becomes available as part of your agent's reasoning suite, allowing it to perform deep-dive information retrieval and structured reporting.

Use Cases

This skill is ideal for tasks requiring high precision and transparency. Use cases include:

• Academic Research: Compiling information on specific topics while maintaining a strict bibliography of sources.
• Technical Documentation: Retrieving up-to-date information on software libraries or API documentation where source verification is critical.
• Market Analysis: Gathering current trends and data points from the web, providing citations that allow stakeholders to verify the original market research reports.
• Complex Problem Solving: Breaking down multi-faceted inquiries into logical steps, backing each step with evidence collected from reputable online domains.

Example Prompts

1. "What are the primary differences between asynchronous and synchronous programming in Python? Please provide sources for your explanation."
2. "Research the latest advancements in solid-state battery technology for 2024 and summarize the impact on the EV industry."
3. "Explain the current global economic outlook for the next quarter, citing the latest reports from major financial institutions."

Tips & Limitations

• Tip: Always frame your request as a research question to encourage the agent to utilize its search-and-cite capabilities effectively.
• Tip: If you require a specific language for the citations, explicitly state it in your prompt to override the default language detection.
• Limitation: The quality of the reasoning output is heavily dependent on the quality of search results available; if the source material is sparse or contradictory, the agent's ability to synthesize a definitive answer may be impacted.
• Limitation: Ensure the agent has sufficient network permissions to perform live web searches, as the skill relies on fetching external data to generate citations.