research-cog
OfficialCitation-backed research at scale.
AuthorCellCog
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Professionals often need deep, credible, and citation-backed research across multiple domains (competitive analysis, market trends, stock analysis, and academic topics) without starting from scratch.
Core Features & Use Cases
- Citation-backed research: Generates multi-source analyses with citations on request.
- Domain coverage: Supports competitive analysis, market research, stock/investment evaluation, and academic literature reviews.
- Output formats: Produces structured reports in HTML, PDF, Markdown, or plain text, with executive summaries and actionable insights.
- Collaboration: Agents can operate in team-mode to cross-validate findings and maintain citation integrity.
Quick Start
Prompt the agent to investigate a topic (e.g., "quantum computing funding landscape 2025-2026") and return a structured report with sources.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: research-cog Download link: https://github.com/CellCog/cellcog_python/archive/main.zip#research-cog Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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