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systematic-research

Run a 6-step research pipeline to produce cross-verified findings with confidence scores.

Updated Apr 9, 2026
Search Tags:#research#structured output#confidence scoring#cross-verification#systematic research
One-click install
npx skills add https://github.com/robwestz/memoryporter --skill systematic-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: systematic-research
Source: https://github.com/robwestz/memoryporter/tree/main/knowledge/meta-skills/systematic-research
Command: npx skills add https://github.com/robwestz/memoryporter --skill systematic-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires WebSearch, WebFetch, Context7, Ahrefs, mempalace, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the problem of ad-hoc, unstructured research that often leads to unreliable conclusions. It ensures systematic, structured research with explicit confidence scores and gap reporting.

Core Features & Use Cases

  • Structured Research Pipeline: A 6-step process that guarantees structured, cross-verified findings.
  • Cross-Verification: Ensures reliability by cross-referencing claims across multiple sources.
  • Confidence Scoring: Provides explicit confidence scores for each finding.
  • Use Case: Before embarking on a major technology decision, use this Skill to research and verify key claims, grounding decisions in evidence.

Quick Start

Research the best way to set up a microservices architecture using "Systematic Research".

Frequently Asked Questions about systematic-research

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

FAQPage Schema
How do I conduct structured research for major technology decisions?▼

Cross-verify research claims by cross-referencing them across multiple sources within the SOURCE and CROSS-VERIFY stages. This pipeline ensures reliability by validating extracted content before synthesis, ultimately providing explicit confidence scores for each finding.

What is the best way to assign confidence scores to competitive analysis findings?▼

Use systematic research for tech architecture, competitive analysis, and regulatory questions. It replaces ad-hoc, unstructured research methods with a structured pipeline that produces explicit confidence scores and gap reports, preventing unreliable conclusions.

Do I need WebSearch and WebFetch to extract content for cross-verification?▼

Yes, you need WebSearch and WebFetch for source discovery and content extraction. The systematic research pipeline relies on these search tools to gather data, with optional additional tools like Context7, Ahrefs, and mempalace for persistent storage and deeper analysis.

What are the limitations of an unstructured research workflow?▼

Unstructured research workflows often lead to unreliable conclusions because they lack cross-verification and explicit confidence scoring. Without a systematic pipeline, ad-hoc research fails to identify knowledge gaps or properly synthesize cross-referenced claims.

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