A comprehensive AI research framework that unifies eight specialized research engines into a single, high-performance intelligence system.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install super-research
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 super-research 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 Super Research?
Super Research represents the pinnacle of information gathering within the ecosystem of Openclaw Skills. It is designed to handle the entire spectrum of research tasks, from rapid web lookups to exhaustive academic deep-dives. By synthesizing the capabilities of eight top-rated research tools, it eliminates the need for manual source switching and provides a unified interface for high-fidelity data extraction.
The skill intelligently classifies every request to determine the optimal search strategy, whether that involves multi-source exhaustive analysis or parallel processing of multiple topics. This makes it an essential tool for developers, researchers, and analysts who require accurate, cited, and actionable information without the noise of standard search engines.
Super Research Use Cases
- Performing exhaustive technical deep-dives for software architecture decisions.
- Generating scholarly literature reviews with full citations for academic projects.
- Conducting parallel research across multiple market trends or technical topics simultaneously.
- Executing quick lookups for developer documentation, MDN, and GitHub repository comparisons.
- Creating detailed executive summaries and long-term development plans based on reputable news and technical blogs.
How Super Research Works
- Classification: The skill analyzes the user prompt to categorize it as a Quick Lookup, Deep Research, Academic, or Parallel task.
- Planning: It generates a strategic roadmap including specific keywords, targeted sources (like arXiv or GitHub), and the required analytical angle.
- Multi-Source Execution: The system queries a hierarchy of sources, prioritizing official documentation and academic papers over forum discussions.
- Data Analysis: Key findings, methodologies, and results are extracted and filtered for relevance and quality.
- Synthesis: The gathered information is consolidated into a structured report with actionable insights.
- Verification & Citation: Every data point is cross-referenced with its original source to ensure transparency and accuracy.
Super Research Setup
To deploy this skill within your Openclaw Skills environment, follow these installation steps:
# Install the Super Research skill package
openclaw install super-research
# (Optional) Configure your preferred research depth and primary sources
openclaw config set research_depth "deep"
openclaw config set primary_sources "arxiv,github,google"
Super Research Data Schema & Taxonomy
Super Research organizes its findings into a standardized schema to ensure compatibility across Openclaw Skills workflows:
| Component | Description |
|---|---|
| Research Class | Identifies if the output is Quick, Deep, Academic, or Parallel. |
| Source Hierarchy | A prioritized list of references categorized by reputation (Academic, Technical, Discussion). |
| Findings Matrix | The core data extracted, organized by key questions or themes. |
| Actionable Plans | Short, medium, and long-term development or implementation insights. |
| Citations | Properly formatted links and references to all utilized sources. |
Super Research Advanced Features
- Intelligent classification logic that selects the most cost-effective and accurate search path.
- Parallel topic processing for simultaneous multi-threaded research tasks.
- Integration of top-tier engines including deep-research-pro and academic-deep-research.
- Specialized scrapers for developer-centric sources like MDN, GitHub, and technical documentation.
- Customizable output templates ranging from brief summaries to full-scale technical reports.
SKILL.md
Loading
Related Openclaw Skills
Super GitHub
The ultimate GitHub automation framework for managing issues, PRs, releases, and repository workflows in a single interface.
Super Browser Automation
A comprehensive framework that merges eight top-rated browser automation tools into a single, unified interface for AI-driven web tasks.
Speckit Swarm
An advanced agent orchestration system that enables parallel execution and task decomposition through specialized AI personas and ultrawork detection.
OpenClaw Swarm Orchestration
A high-performance orchestration skill for spawning, coordinating, and sharing state across multiple AI subagents.
Qunar Travel Query Skill
A high-performance AI agent skill for querying real-time flight, hotel, train, and scenic spot data via the Qunar Open Platform.
WeChat Xlog Analyzer
A comprehensive toolset for parsing, analyzing, and diagnosing WeChat Xlog debug files to accelerate troubleshooting and performance auditing.
Featured*
