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Jose-Luis-Nunez
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deep-research

Conduct multi-phase retrieval, verification, and synthesis for citation-backed research reports.

2|1|Updated Apr 13, 2025
Search Tags:#reports#verification#synthesis#citation#deep-research#source-tracing#triangulation
One-click install
npx skills add https://github.com/Jose-Luis-Nunez/FitnessApp --skill deep-research-jose-luis-nunez
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Jose-Luis-Nunez/FitnessApp/tree/main/.cursor/skills/deep-research
Command: npx skills add https://github.com/Jose-Luis-Nunez/FitnessApp --skill deep-research-jose-luis-nunez

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It enables investigators and teams to produce rigorous, citation-backed deep research reports by systematically structuring retrieval, verification, and synthesis around explicit sources and traceable claims.

Core Features & Use Cases

  • Multi-phase research pipeline (Phase 0 to 5) with mandatory verification and triangulation to ensure claim support.
  • Source-driven reporting with transparency about evidence gaps, contradictions, and recency.
  • Suitable for technology assessments, architecture reviews, and state-of-the-art analyses used in decision-making.

Quick Start

Provide a research topic and any constraints to start Phase 0 clarification.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I conduct deep research that provides citation-backed reports for technical topics?▼

Conduct deep research using a multi-phase retrieval and verification pipeline that triangulates sources, producing traceable, citation-backed reports with explicit evidence support.

What is source triangulation and how does it work for technology assessments?▼

Source triangulation cross-verifies claims across multiple independent references during research, ensuring synthesized technology assessments maintain factual accuracy and expose contradictions or evidence gaps.

Can I use this multi-phase research pipeline for architecture-level comparisons?▼

Yes, the pipeline synthesizes verified sources to produce architecture-level assessments, technology comparisons, and state-of-the-art reviews specifically designed for engineering decision-makers.

How do I start the deep research process for a state-of-the-art review?▼

Start the deep research process by providing a technical topic and any specific constraints to trigger Phase 0 clarification, which scopes the retrieval and verification pipeline.

Does the research output indicate where evidence gaps or contradictions exist?▼

Yes, source-driven reporting maintains transparency by explicitly highlighting evidence gaps, source contradictions, and recency issues directly within the final synthesized research output.

What is the best way to verify technical claims during systematic research?▼

The best way to verify technical claims is mandatory triangulation across multiple sources, ensuring every synthesized statement is traceable back to explicit, verified citations.

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