LaunchKit · 2026
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super-research

**The ultimate AI research system.** Combines the best of 8 top-rated research skills into one powerful framework.

2
509 downloads
by @heldinhow

Setup & Installation

openclaw skills install @heldinhow/super-research

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install super-research

What This Skill Does

A research framework that classifies queries by type and applies the appropriate strategy, from quick web lookups to multi-source academic analysis. Draws from 8 research skill approaches to handle breadth and depth across web, news, GitHub, and scholarly sources.

It selects the right research method automatically rather than requiring the user to pick between quick search and deep analysis each time.

When to use it

  • Comparing two developer tools with up-to-date sources
  • Finding academic studies on a technical topic
  • Tracking recent news across multiple AI announcements
  • Researching a codebase or library via GitHub
  • Building a literature review with citations

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Research the impact of AI on developer productivity, format as a literature review

AGENT
  1. 1Classify the request as academic research
  2. 2Plan search keywords and target sources including arXiv and academic papers
  3. 3Execute searches across web, news, and academic databases
  4. 4Extract key findings and assess source quality using the priority hierarchy
  5. 5Synthesize results into a structured literature review with citations
OUTPUT

A literature review covering existing studies, methodologies, and results with ranked sources cited