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hivefiver-mcp-research-loop

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Evidence-backed research for decisions.

Software Engineering#planning#architecture#decision making#research#AI research#evidence gathering
Authorshynlee04
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the process of gathering and synthesizing evidence for complex planning or architecture decisions, ensuring that decisions are well-informed and grounded in verifiable data.

Core Features & Use Cases

  • Provider Readiness Checks: Ensures all necessary AI research providers are available before starting.
  • Grounded Evidence Retrieval: Collects information from multiple sources (DeepWiki, Repomix, Context7, Tavily, Exa) in a prioritized order.
  • Contradiction Management: Identifies and registers conflicting information found during research.
  • Confidence Scoring: Assesses the reliability of the gathered evidence and flags any gaps.
  • Use Case: When deciding on a new technology stack for a project, this Skill can research the pros and cons of each option, check official documentation, analyze existing codebases, and provide a confidence score for each choice.

Quick Start

Use the hivefiver-mcp-research-loop skill to research the best practices for implementing a microservices architecture.

Dependency Matrix

Required Modules

None required

Components

scriptsreferencestemplates

💻 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: hivefiver-mcp-research-loop
Download link: https://github.com/shynlee04/hivemind-plugin/archive/main.zip#hivefiver-mcp-research-loop

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