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multi-source-research

Orchestrate parallel research across multiple sources using subagents.

Updated Jul 5, 2026
Search Tags:#research#parallel processing#business intelligence#structured documentation#subagent-driven
One-click install
npx skills add https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir --skill multi-source-research-prince3626ezechiel-lang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-source-research
Source: https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir/tree/main/skills/multi-source-research
Command: npx skills add https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir --skill multi-source-research-prince3626ezechiel-lang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates multi-source research for substantial projects, such as competitive analysis, feasibility studies, and ecosystem mapping, using parallel subagents for efficiency and structured deliverables for clarity.

Core Features & Use Cases

  • Parallel Subagent Deployment: Execute multiple research tasks simultaneously with subagents.
  • Structured Deliverables: Synthesize research findings into structured documents like executive summaries and financial models.
  • Use Case: For a feasibility study on opening a new business in a new market, the skill can perform market research, regulatory analysis, and demographic studies, then compile these into a comprehensive report.

Quick Start

Activate the skill and provide the research question along with necessary context and toolset preferences.

Frequently Asked Questions about multi-source-research

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

FAQPage Schema
How do I conduct competitive analysis across multiple sources simultaneously?▼

Multi-source research uses parallel subagents to execute multiple research tasks simultaneously, accelerating complex business research like market analysis and competitive benchmarking. It synthesizes findings into structured deliverables for clarity.

What is the best way to structure findings from a market feasibility study?▼

To structure findings from a market feasibility study, this skill compiles parallel research outputs into structured documentation like executive summaries and financial models. This ensures complex business research findings are clear and actionable.

Can I use parallel subagents for ecosystem mapping and regulatory analysis?▼

Yes, parallel subagent deployment supports ecosystem mapping and regulatory analysis by executing these distinct research tasks simultaneously. This parallel processing accelerates workflows for complex business research projects.

How does parallel processing work for complex business research workflows?▼

Parallel processing works by deploying multiple subagents to handle distinct research tasks at the same time. This approach significantly accelerates research workflows for substantial projects and ensures findings are documented in structured deliverables.

Do I need specific tools to start a multi-source research task?▼

You activate the skill and provide your research question along with necessary context and toolset preferences. This allows the parallel subagents to immediately begin executing your multi-source research tasks.

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