Super Research

What This Skill Does

Super Research is the ultimate research engine designed for OpenClaw, consolidating the capabilities of eight high-performance research skills into a single, cohesive framework. Rather than forcing the user to choose a specific tool, Super Research intelligently classifies your query to determine the optimal methodology. It automatically selects the best search strategy—whether that be a lightning-fast web lookup, an exhaustive academic literature review, or a parallel investigation into multiple complex topics. By leveraging a structured quality hierarchy, the skill prioritizes data from reputable academic journals, official documentation, and trusted news outlets over low-signal forum discussions. It synthesizes findings into professional-grade outputs, including executive summaries, actionable development plans, and detailed trend analyses, ensuring you receive high-quality insights tailored to your specific context.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/heldinhow/super-research This installation pulls the latest version (v1.0.0) directly from the primary OpenClaw repository managed by heldinhow. Ensure your environment has the necessary network permissions to facilitate external API lookups.

Use Cases

Super Research excels in scenarios requiring rigorous information gathering and synthesis. Use it when conducting technical due diligence on emerging software tools, performing academic literature reviews for project foundations, or tracking high-level industry trends. It is particularly effective for developers needing to reconcile conflicting documentation from multiple sources (like GitHub issues vs. official docs) and for professionals needing to condense long-form technical reports into concise, actionable executive summaries.

Example Prompts

1. "Perform a deep research analysis on the current limitations of vector databases in RAG applications. Format the output as a technical report with citations."
2. "Compare the performance metrics of TypeScript 5.0 vs 5.5. Prioritize official documentation and GitHub release notes, then summarize the findings in a table."
3. "Research the latest advancements in small language models (SLMs) published in 2025. Create an executive summary highlighting three key trends and their impact on edge computing."

Tips & Limitations

To maximize the effectiveness of Super Research, be specific in your prompts regarding the desired output depth. If you require a quick answer, explicitly request a 'quick lookup' to bypass the heavy analysis workflows. Note that while the skill prioritizes high-quality sources, it is dependent on external data availability. If a topic is extremely niche, the skill may fall back to lower-tier sources; always verify critical data with primary official sources. For best results, clearly define the format you require—whether that is a literature review, a development plan, or a simple summary.