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research-workflow

Classify queries and route them to specialized MCP tools for multi-source research.

51|6|Updated May 4, 2026
Search Tags:#automation#research#routing#mcp#knowledge#synthesis
One-click install
npx skills add https://github.com/yoloshii/gigaxity-deep-research --skill research-workflow-yoloshii
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-workflow
Source: https://github.com/yoloshii/gigaxity-deep-research/tree/main
Command: npx skills add https://github.com/yoloshii/gigaxity-deep-research --skill research-workflow-yoloshii

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the problem of inefficient, hallucination-prone research by automatically routing queries to the most appropriate specialized MCP tool based on the query's intent and complexity.

Core Features & Use Cases

  • Intelligent Routing: Classifies queries into categories like Quick Factual, Exploratory, or Synthesis to select the optimal tool from the seven-MCP stack.
  • Automated Workflow: Orchestrates complex multi-step research, including search, reading, and citation-backed synthesis.
  • Use Case: When you ask for a comparison between two frameworks, the Skill automatically triggers the Triple Stack (Context7, Exa, Jina) to gather evidence and then invokes the synthesis engine to generate a citation-backed report.

Quick Start

Use the research-workflow skill to investigate the latest production best practices for FastAPI versus Litestar in 2026.

Frequently Asked Questions about research-workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate multi-source research and cross-reference synthesis across different search tools?▼

Automated research routing classifies query intent and directs searches to specialized MCP tools, applying cross-source synthesis and contradiction detection to generate citation-backed evidence reports.

What is the best way to detect contradictions and ensure citation-backed evidence in deep research?▼

Contradiction detection in deep research is handled by automated quality gating across a multi-MCP search infrastructure, verifying information against multiple sources to produce citation-backed evidence.

How does intelligent query routing work for complex technical documentation lookup?▼

Intelligent query routing for technical documentation classifies queries by complexity into categories like Quick Factual or Synthesis, then selects the optimal MCP tool from the stack to retrieve data.

Can I use automated research workflows for community sentiment analysis and exploratory searches?▼

Automated research workflows support community sentiment analysis by routing exploratory queries to specialized MCP tools, orchestrating multi-step retrieval to synthesize community feedback and technical data.

Do I need specific MCP tools to run multi-source knowledge synthesis and routing?▼

Multi-source knowledge synthesis requires a configured MCP tool stack, such as the Triple Stack infrastructure, to enable the automated routing, reading, and quality gating processes.

When should I use automated research routing instead of single-source searches for framework comparisons?▼

Automated research routing should be used for framework comparisons when queries require cross-source synthesis, contradiction detection, and citation-backed evidence rather than simple single-source lookups.

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