deep-research-foundations

Decompose design questions into MECE fields and research them in parallel.

1|2|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/jgwill/dotagents --skill deep-research-foundations
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research-foundations
Source: https://github.com/jgwill/dotagents/tree/main/skills/deep-research-foundations
Command: npx skills add https://github.com/jgwill/dotagents --skill deep-research-foundations

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It converts a design decomposition question into well-structured, citable academic/professional “foundations” artifacts that prevent lore drift and make downstream Miadi/Hermes work more grounded.

Core Features & Use Cases

  • MECE field decomposition and parallel research: Breaks a question into mutually exclusive academic/professional fields and researches them in parallel (3–6 angles) to ensure broad yet non-overlapping coverage.
  • Gap analysis with targeted follow-ups: Detects missing coverage and contradictions, then spawns additional “deep” agents only where it matters.
  • Foundations deliverables for multiple audiences: Produces a foundations map, chronicle seeds, visual seeds, and a machine-readable source ledger suitable for academic, engineering, and narrative use.

Quick Start

Use deep-research-foundations to produce a roots-level foundations/<academic-field>/ scaffold by asking it to decompose a design question into MECE fields and compile a sourced foundations document for the Miadi/Hermes branch.

Frequently Asked Questions about deep-research-foundations

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

FAQPage Schema
How do I generate academic research foundations with citations for design workflows?

To generate academic research foundations, you decompose a design question into MECE academic fields and research them in parallel. This produces a citable foundations scaffold with engineering implications, preventing lore drift in downstream design branches.

What is MECE decomposition for multi-agent research and when is it needed?

MECE decomposition for multi-agent research breaks a question into mutually exclusive academic fields to ensure broad, non-overlapping coverage. It is needed when compiling sourced foundations documents that require parallel research across three to six distinct professional angles.

How to compile a source ledger and map knowledge synthesis gaps during parallel research?

You compile a machine-readable source ledger and map knowledge synthesis gaps by orchestrating multi-agent research phases across web, vault, and code sources. The system detects missing coverage and contradictions, spawning targeted deep agents only where gaps exist.

Does deep-research-foundations require specific dependencies or vault context to operate?

deep-research-foundations requires no external dependencies, but it needs vault and context gathering inputs to operate. It uses these inputs to orchestrate parallel research phases and generate chronicle seeds alongside a root-level foundations scaffold.

What's the best way to prevent lore drift in design-to-research workflows?

The best way to prevent lore drift in design-to-research workflows is generating durable, citable academic foundations artifacts. By decomposing questions into MECE fields and producing a sourced foundations document, downstream design work remains grounded in verified evidence.

Can I use multi-agent orchestration to produce visual narrative seeds and engineering implications?

Yes, you can use multi-agent orchestration to produce visual narrative seeds and engineering implications. The orchestration phases gather date context and synthesize research into foundations deliverables suitable for academic, engineering, and narrative audiences.