parallel-researcher

Aggregate and verify evidence from multiple sources into lane-level reports.

11|1|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/ylxmf2005/AgentCorp --skill parallel-researcher
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-researcher
Source: https://github.com/ylxmf2005/AgentCorp/tree/main/agentcorp/parallel-researcher
Command: npx skills add https://github.com/ylxmf2005/AgentCorp --skill parallel-researcher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AgentCorp researchers often rely on a single source or a narrow view, which can lead to biased decisions; parallel-researcher addresses this by orchestrating multi-lane evidence gathering across official docs, open-source code, papers, and internal artifacts to produce decision-ready conclusions.

Core Features & Use Cases

  • Parallel lanes: split tasks into independent research streams to avoid anchoring.
  • Source diversity: cover official docs, open-source repos, academic papers, and industry reports.
  • Evidence synthesis: compile lane findings with citations and identify conflicts or gaps.
  • Decision support: deliver structured outputs including Findings and recommendations.

Quick Start

Invoke the parallel-researcher to generate a multi-lane evidence report for your research question.

Frequently Asked Questions about parallel-researcher

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

FAQPage Schema
How do I verify evidence from multiple sources to avoid biased research conclusions?

Multi-source evidence verification aggregates findings across parallel research lanes covering official docs, code, and papers to produce decision-ready conclusions with conflict and gap analysis.

What is parallel evidence gathering and how does it support decision-making?

Parallel evidence gathering splits research into independent lanes to avoid anchoring, synthesizing load-bearing citations and structured Findings to support formal decision-making processes.

How do I generate a research report with citations and evidence maps?

Generate a decision-ready research report by orchestrating multi-lane evidence collection that outputs lane-level reports, an evidence map, identified conflicts, and formal recommendations.

Can I use internal repository context alongside external sources for research verification?

Yes, evidence verification operates across external sources, internal repo context, or both, aggregating multi-lane findings to deliver structured conclusions with load-bearing citations.

What is the best way to research a decision with tight timelines and conflicting information?

Use varied research depth levels including desk, source-verified, or hands-on to fit decision timelines, synthesizing parallel lane findings to identify conflicts and gaps for decision-ready conclusions.

What are the limitations of single-source research compared to multi-lane evidence synthesis?

Single-source research risks biased decisions from narrow views, while multi-lane evidence synthesis covers official docs, open-source repos, papers, and internal artifacts to expose conflicts and gaps.