research

Decompose research queries into parallel facets and aggregate cited results.

1|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/atmigtnca/sidep-ops --skill research-atmigtnca
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/atmigtnca/sidep-ops/tree/main/skills/research
Command: npx skills add https://github.com/atmigtnca/sidep-ops --skill research-atmigtnca

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly gather external context by parallelizing document searches across multiple document-specialist agents and aggregating results to inform decisions.

Core Features & Use Cases

  • Facet-based decomposition: Breaks queries into 2-5 independent search facets.
  • Parallel execution: Invokes up to 5 document-specialist agents concurrently.
  • Structured synthesis: Produces a consolidated external-context report with citations.
  • Use Case: Research a technical topic by gathering official docs, blogs, and examples across multiple sources and summarizing results with sources.

Quick Start

Decompose a query into parallel facets and synthesize findings from external documents.

Frequently Asked Questions about research

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

FAQPage Schema
How do I run parallel web searches to gather external context on technical topics?▼

Run parallel web searches by decomposing queries into 2-5 independent search facets and invoking up to 5 document-specialist agents concurrently. You get a consolidated external-context report with citations aggregating all findings.

What is facet-based decomposition for cross-source research?▼

Facet-based decomposition breaks a research query into 2-5 independent search facets. It targets specific aspects of technical topics like API design or tooling comparisons, enabling concurrent document-specialist searches for cross-source validation.

How do I synthesize external research findings with citations from multiple sources?▼

Synthesize external research findings by aggregating results from parallel document-specialist agents into a structured consolidated external-context report. The output provides citations for cross-source validation of technical topics like frameworks or tooling.

Can I use parallel search to compare API design docs across multiple sources?▼

Yes, apply parallel search to compare API design docs by breaking the query into 2-5 facets and invoking up to 5 document-specialist agents concurrently. This gathers official docs, blogs, and examples for cross-source validation.

What are the limitations of using parallel agents for external-context research?▼

Parallel external-context research is limited to 2-5 search facets and up to 5 concurrent document-specialist agents. It is designed for technical topics requiring cross-source validation rather than simple single-query web searches.

Does this research approach work for framework and tooling comparisons?▼

Yes, this research approach works for framework and tooling comparisons by using facet decomposition to query multiple document-specialist agents. It synthesizes gathered official docs and examples into a cited report for technical validation.