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davidorex
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deep-research

Resolve complex VCV Rack development problems through graduated research levels.

Updated Aug 27, 2026
Search Tags:#research#Rack#parallel investigation#multiple agents
One-click install
npx skills add https://github.com/davidorex/vcv-rack-module-creation-framework --skill deep-research-davidorex
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/davidorex/vcv-rack-module-creation-framework/tree/main/.claude/skills/deep-research
Command: npx skills add https://github.com/davidorex/vcv-rack-module-creation-framework --skill deep-research-davidorex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

For non-trivial problems, perform thorough, multi-agent research to surface robust solutions with parallel subagents.

Core Features & Use Cases

  • Level 1 quick check, Level 2 moderate investigation, Level 3 deep research with parallel subagents
  • Structured reports and actionable recommendations
  • Menu-driven escalation and routing to appropriate implementation or troubleshooting steps

Quick Start

Use /research to initiate guided multi-level investigation.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I research complex VCV Rack module development problems systematically?▼

Deep research resolves complex VCV Rack development problems using graduated investigation levels—quick local lookups, moderate investigation, and full parallel multi-agent research—to surface robust solutions with structured reports and actionable recommendations.

What's the difference between quick checks and deep parallel investigation for Rack module issues?▼

Level 1 performs quick local checks, Level 2 conducts moderate investigation, and Level 3 deploys parallel subagents for thorough multi-angle analysis. Escalation gates and time budgets ensure proportional research depth matched to problem complexity.

Can I use parallel investigation to troubleshoot multiple aspects of a Rack module simultaneously?▼

Yes, parallel subagents investigate different aspects concurrently across levels 1–3, reducing research time while maintaining read-only advisory workflow, escalation gates, and explicit handoffs to implementation teams.

How do I escalate from research recommendations to actual module implementation?▼

Structured reports from graduated investigation feed menu-driven routing to appropriate implementation or troubleshooting steps, with explicit handoffs ensuring research findings transition cleanly to development action.

What constraints apply when running parallel deep research on module development problems?▼

Research operates read-only with enforced time budgets and escalation gates; it surfaces recommendations but does not modify code or execute changes, requiring explicit handoff to implementation teams.

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