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deep-research

Plan, scrape, and extract notes to produce cited research reports.

Updated Apr 8, 2026
Search Tags:#citations#sources#evidence-based#deep-research#notes-management#research-workflow#filesystem-memory
One-click install
npx skills add https://github.com/aimentor606/aether --skill deep-research-aimentor606
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/aimentor606/aether/tree/main/core/kortix-master/opencode/skills/GENERAL-KNOWLEDGE-WORKER/deep-research
Command: npx skills add https://github.com/aimentor606/aether --skill deep-research-aimentor606

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic, evidence-based research that produces cited, source-backed reports. The approach uses the filesystem as working memory to persist scraped content, extracted notes, and source metadata, enabling a resumable, searchable research workflow.

Core Features & Use Cases

  • Structured research planning: create topic-specific research directories with plan.md, sources-index.md, sources/, notes/, and a final report.
  • Source management and traceability: maintain a registry of sources with citation mappings and sub-question-aligned notes for reproducible investigations.
  • Real-world use: deliver a fully cited report on a contested claim with transparent methodology and traceable evidence.

Quick Start

Instruct the agent to begin a literature review on a defined topic, generate a plan, and seed a sources index for tracking evidence.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I conduct evidence-based research with traceable citations and source management?▼

Evidence-based research is conducted by creating a topic-specific directory to scrape content, extract notes, and maintain a sources index with citation mappings, producing a cited, source-backed report.

What is the best way to manage research notes and track primary sources for a literature review?▼

Managing research notes uses the filesystem as working memory to persist scraped content and source metadata, maintaining a registry with sub-question-aligned notes for reproducible investigations.

Can I resume a multi-source investigation if I stop halfway through scraping and note extraction?▼

Yes, multi-source investigations are resumable because the workflow saves plan files, source registries, and extracted notes directly to the filesystem, allowing you to continue the research process later.

Does this deep-research approach work for validating contested claims that require transparent methodology?▼

Yes, this approach works for contested claims by applying systematic data validation across primary sources to deliver a fully cited report with transparent methodology and traceable evidence.

How do I start a systematic research workflow to generate a reproducible report?▼

To start a systematic research workflow, instruct the agent to begin a literature review on a defined topic, which generates a research plan and seeds a sources index for tracking evidence.

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