deep-research

Generate citation-backed research reports with claim-level validation from complex questions.

17|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/ivanrvpereira/.agents --skill deep-research-ivanrvpereira
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/ivanrvpereira/.agents/tree/main/skills/deep-research
Command: npx skills add https://github.com/ivanrvpereira/.agents --skill deep-research-ivanrvpereira

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Deep research transforms complex questions into rigorous, multi-source reports with evidence persistence, claim-level verification, and fully formatted bibliographies—avoiding shallow or citation-free answers.

Core Features & Use Cases

  • Multi-phase research pipeline: scopes the question, plans retrieval, retrieves in parallel, triangulates, synthesizes, critiques, refines, and packages results.
  • Citation & evidence persistence: writes stable registries and append-only JSONL artifacts (sources/evidence/claims) so multi-step continuation stays grounded.
  • Automated validation: runs report structure validation and citation/DOI verification, then iterates to fix issues.
  • Structured outputs: generates Markdown (primary), plus HTML and PDF-ready deliverables, with long-report continuation when needed.
  • Use cases: compare technologies (e.g., X vs Y), produce state-of-the-art analyses, and generate decision-grade research summaries for critical initiatives.

Quick Start

Ask your agent: deep research in ultradeep mode: compare PostgreSQL vs Supabase for our stack

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I generate a literature review with verified citations?▼

To generate a citation-backed research report, provide a complex research question or topic to analyze. The pipeline scopes the query, retrieves sources in parallel, triangulates evidence, and synthesizes findings into Markdown, HTML, and PDF-ready deliverables with an evidence ledger.

How does claim verification work in automated research reports?▼

Deep research validates claims by writing stable registries and append-only JSONL artifacts that log sources, evidence, and claims. It runs automated validation checks on report structure and DOI citations, iterating to fix issues and maintain evidence persistence across multi-step continuations.

Can I use deep research for technology comparison and market investigation tasks?▼

Yes, you can use deep research for technology comparisons and market investigations. The tool performs multi-source analysis to compare technologies, produce state-of-the-art reviews, and generate decision-grade research summaries across configurable deep and ultradeep modes.

What output formats are supported for structured research reports?▼

Structured research reports are output in Markdown as the primary format, along with HTML and PDF-ready deliverables. The pipeline supports long-report continuation when needed to ensure comprehensive packaging of extensive multi-source analysis results.

What is the best way to maintain evidence persistence during multi-step research?▼

Evidence persistence is maintained by writing stable registries and append-only JSONL artifacts tracking sources, evidence, and claims. This retrieval-to-triangulation-to-synthesis workflow ensures multi-step research continuations stay grounded and validation-checked.