deep-research

Perform multi-source evidence-based research and produce a numbered, cited report.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/yethikrishna/humble --skill deep-research-yethikrishna
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/yethikrishna/humble/tree/main/core/kortix-master/opencode/skills/GENERAL-KNOWLEDGE-WORKER/deep-research
Command: npx skills add https://github.com/yethikrishna/humble --skill deep-research-yethikrishna

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates fragmented, non-reproducible research workflows by automating multi-source evidence gathering, extraction, and synthesis while persisting raw sources and distilled notes to disk for resumability, auditability, and reproducible citations.

Core Features & Use Cases

  • Filesystem-backed workflow: Persist scraped pages, an indexed sources registry, per-question notes, and a final report under research/{topic-slug}/ for resumable investigations.
  • Search-Read-Extract loop: Generate diverse search queries, batch-scrape results, extract findings and data points, and record source metadata with numbered citation mapping.
  • Recursive deepening and synthesis: Support configurable breadth/depth recursion, cross-reference evidence, flag contradictions, and produce a final evidence-weighted report with limitations and confidence levels.
  • Use Case: Run a literature review or fact-check that finds primary sources, extracts methodology and data, and compiles a cited executive summary and bibliography.

Quick Start

Ask the deep-research agent to perform a literature review on "topic" and save a cited report to research/topic-slug/report.md.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate a literature review with primary source extraction and citations?

To automate a literature review, this Skill generates diverse search queries, batch-scrapes results, extracts findings, and compiles a numbered, cited report with a bibliography. Raw sources and distilled notes are persisted to disk for resumability and auditability.

How does systematic fact-checking work for complex investigative queries?

Systematic fact-checking works by performing recursive web searches and API paper searches to find primary sources, cross-reference evidence, flag contradictions, and produce an evidence-weighted report with confidence levels and limitations.

What is the best way to manage citation mapping and source indexing for due diligence?

The best way to manage citation mapping is using a filesystem-backed workflow that stores an indexed sources registry, records source metadata with numbered citations, and saves per-question notes under research/{topic-slug}/ for reproducible investigations.

Can I configure search breadth and depth for recursive web scraping during research?

Yes, you can configure search breadth and depth for recursive web scraping. The Skill supports configurable breadth and depth recursion to cross-reference evidence, extract methodology and data, and synthesize findings into a final report.

Does this research workflow support OpenAlex API paper searches for academic literature?

Yes, this research workflow supports OpenAlex API paper searches for academic literature. It applies a search-read-extract loop that queries APIs, scrapes pages, extracts distilled notes, and updates a sources index with numbered citation mapping.

What are the limitations of filesystem-backed research workflows for evidence synthesis?

Limitations of filesystem-backed research workflows include reliance on disk storage for raw content and notes, requiring manual configuration of breadth and depth parameters, and potential challenges with dynamic or paywalled web sources during recursive scraping.