deep-research

Name: deep-research
Availability: InStock
Author: anhnguyen123312

Conduct multi-source research with citation tracking and verification.

1|2|Updated Feb 17, 2026

Search Tags:#research #deep research #source credibility #citation tracking #comprehensive analysis

Ready to run

npx skills add https://github.com/anhnguyen123312/skill-trader --skill deep-research-anhnguyen123312

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/anhnguyen123312/skill-trader/tree/main/.agents/skills/deep-research
Command: npx skills add https://github.com/anhnguyen123312/skill-trader --skill deep-research-anhnguyen123312

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pypdf2, pdfplumber, re, requests, json, yaml, argparse, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides enterprise-grade research capabilities with source credibility scoring, multiple research modes, and citation management.

Core Features & Use Cases

8-Phase Research Pipeline: Systematic research through Scope, Plan, Retrieve, Triangulate, Synthesize, Critique, Refine, and Package phases.
Multiple Research Modes: Quick, Standard, Deep, and UltraDeep modes offer varying depths and speeds of research.
Source Credibility Assessment: Scores each source on quality and potential biases.
Citation Management: Tracks citations and generates bibliographies.
Use Case: When you need in-depth research on a topic, like "compare Next.js 15 vs Remix vs Astro for my project," this Skill can help.

Quick Start

Use the deep-research skill to analyze the current state of AI agent frameworks in 2025.

Frequently Asked Questions about deep-research

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

FAQPage Schema

How do I conduct comprehensive research with multi-source synthesis and citation tracking?▼

Comprehensive research uses an 8-phase pipeline including Scope, Retrieve, Triangulate, and Synthesize to aggregate 10+ sources. It tracks citations and scores source credibility to generate verified enterprise-grade analysis.

What is the best way to compare different technical approaches using deep research?▼

To compare technical approaches, deep research uses triangulation and synthesis phases to validate claims across multiple sources. This systematic comparison evaluates biases and generates a refined analysis package.

Can I adjust the depth of automated research and validation for complex topics?▼

Yes, you can adjust research depth using Quick, Standard, Deep, or UltraDeep modes. These modes control the speed and depth of the automated validation, critique, and refine phases for your topic.

Does the research pipeline support automated validation for enterprise-grade analysis?▼

The research pipeline supports enterprise-grade analysis through automated validation within its Critique and Refine phases. It verifies claims and assesses source credibility before packaging the final output.

Do I need Python to run this multi-source research and synthesis process?▼

Yes, you need Python to run this multi-source research process. The pipeline relies on Python dependencies including pypdf2, pdfplumber, requests, and json to extract data and manage research assets.