research

Synthesize multi-layer evidence-based reports from purpose-driven deep research.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Nero-kk/claude-agent-skills --skill research-nero-kk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/Nero-kk/claude-agent-skills/tree/main/claude-skills/research
Command: npx skills add https://github.com/Nero-kk/claude-agent-skills --skill research-nero-kk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Purpose-driven deep research automates complex investigative workflows that otherwise require manual searching, cross-validation, and synthesis across many sources, saving analysts time and reducing oversight risk.

Core Features & Use Cases

  • Adaptive Multi-Agent Pipeline: Orchestrates Planner, Searcher (2-pass), Deep Reader, Analyzer, Query Refiner, Red Team and Synthesizer for robust, layered analysis.
  • Evidence-First Reporting: Produces a 3-layer deliverable (TL;DR, Key Insights, Full Report) with evidence chains, maturity scoring, and actionable decision guides (Go/No-Go, Opportunity Map, Strategy Brief).
  • Domain-Aware, Safe Research: Domain detection, source authority tiers, freshness policies, citation rules, and mandatory disclaimers for medical/finance/legal queries enable responsible outputs.
  • Use Cases: market sizing and TAM analysis, competitive due diligence, literature/systematic reviews (PRISMA), policy analysis, and technical technology research.

Quick Start

Invoke the research pipeline by saying "ds deep AI agent market analysis" to run a full purpose-driven deep research with a 3-layer report and action recommendations.

Frequently Asked Questions about research

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

FAQPage Schema
How do I automate deep research and evidence synthesis for market analysis?

Automate deep research and evidence synthesis by running a multi-agent pipeline that executes 2-pass searches, deep reading, and cross-validation to produce layered market analysis reports with actionable recommendations.

Can I generate literature reviews and PRISMA-based systematic reviews automatically?

Generate literature reviews and systematic reviews automatically by applying domain-aware source prioritization, freshness policies, and multi-source cross-validation to synthesize evidence-based reports.

How does multi-agent deep research handle competitive intelligence and due diligence?

Multi-agent deep research handles competitive intelligence by orchestrating Planner, Searcher, Deep Reader, Analyzer, and Red Team agents to validate sources and synthesize evidence chains for due diligence.

What is the best way to structure actionable insights from technical due diligence?

Structure actionable insights from technical due diligence by generating a 3-layer deliverable containing a TL;DR, key insights, and a full report with Go/No-Go decision guides and strategy briefs.

Does deep research support medical, finance, and legal queries with disclaimers?

Deep research supports medical, finance, and legal queries by applying domain detection, source authority tiers, mandatory disclaimers, and citation rules to ensure responsible evidence synthesis outputs.

How do I start a purpose-driven deep research workflow?

Start a purpose-driven deep research workflow by invoking the pipeline with a command like your research query, which triggers the full multi-agent analysis and 3-layer report generation.