Skills
.Work. You
Rest

swarm-research

Community

Coordinate multi-model search to rank options.

Data & Analytics#multi-agent#consensus#swarm#ranking#parallel-search#decision-research#criteria-elicit
AuthorDavidTeju
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Decision-making often stalls when users face multiple viable options and unclear constraints. Swarm Research provides a structured elicitation phase to capture criteria before any search and coordinates parallel, diverse-model searches to produce a ranked, filtered report.

Core Features & Use Cases

  • Criteria elicitation: gather structured decision criteria before searching.
  • Divergent multi-agent search: dispatch 4-6 agents across models to explore different angles.
  • Convergent ranking: compile and score options against the criteria, producing a clear recommendation.
  • Use Case: planning travel, selecting a vendor, or choosing a tech stack with multiple viable options.

Quick Start

Explain your decision goal and constraints, and let Swarm Research guide you through elicitation and parallel multi-model evaluation to produce a ranked report.

Dependency Matrix

Required Modules

None required

Components

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: swarm-research
Download link: https://github.com/DavidTeju/shared-skills/archive/main.zip#swarm-research

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.