exhaustive-research-orchestrator

Execute multi-round research with clarification questions and markdown-only outputs.

Updated Apr 2, 2026
One-click install
npx skills add https://github.com/vnniciusg/agent-skills --skill exhaustive-research-orchestrator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: exhaustive-research-orchestrator
Source: https://github.com/vnniciusg/agent-skills/tree/main/skills/exhaustive-research-orchestrator
Command: npx skills add https://github.com/vnniciusg/agent-skills --skill exhaustive-research-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Exhaustive, transparent research orchestration that produces audit-ready outputs with source-tracing, reproducibility artifacts, and actionable implementation plans for humans and builder agents.

Core Features & Use Cases

  • Mandatory clarification questions before research to scope the task
  • Spawns subagents with distinct lenses (evidence mapper, technical analyst, risk/ops analyst, etc.)
  • Markdown-only outputs with chaptered structure and a final implementation plan
  • Evidence triangulation, quality scoring, and freshness checks to ensure reliability
  • Handoff-ready results for engineers, product teams, and decision-makers

Quick Start

Provide your research objective and constraints, and I will generate eight chapter markdown outputs with an implementation plan.

Frequently Asked Questions about exhaustive-research-orchestrator

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

FAQPage Schema
How do I orchestrate exhaustive research with source triangulation and evidence grading?

Exhaustive research with source triangulation is orchestrated by spawning subagents with distinct lenses to map evidence, score quality, and check freshness before generating markdown outputs. This ensures reproducible, audit-ready results for decision-makers.

What is the best way to generate an implementation plan from multi-round research?

Generating an implementation plan from multi-round research requires mandatory checkpoints and subagent orchestration to synthesize findings. The process yields structured markdown outputs with a final implementation plan handoff-ready for builder agents.

Can I use subagent orchestration for research without providing initial constraints?

Subagent orchestration for research requires mandatory clarification questions before scoping the task. Providing your research objective and constraints upfront ensures the multi-round process targets the correct evidence and produces relevant markdown outputs.

Does exhaustive research orchestration work for both human and agent consumption?

Exhaustive research orchestration works for both human and agent consumption by strictly enforcing markdown-only outputs. This chaptered structure includes source-tracing, reproducibility artifacts, and actionable implementation plans suitable for engineers and product teams.

How do multi-round research workflows ensure source reliability and freshness?

Multi-round research workflows ensure source reliability by enforcing source triangulation, evidence quality scoring, and freshness checks. Subagents evaluate sources through distinct analytical lenses to produce transparent, audit-ready reproducibility artifacts.

What are the limitations of using automated subagents for exhaustive research?

Automated subagents for exhaustive research are limited to markdown-only outputs and require initial clarification questions to function properly. The orchestration depends on mandatory checkpoints, meaning insufficient initial constraints will degrade the final implementation plan quality.