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.