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.