research

Investigate external questions and synthesize evidence into cited findings with confidence ratings.

15|5|Updated May 4, 2026
One-click install
npx skills add https://github.com/eugenelim/agent-ready-repo --skill research-eugenelim
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/eugenelim/agent-ready-repo/tree/main/packs/research/.apm/skills/research
Command: npx skills add https://github.com/eugenelim/agent-ready-repo --skill research-eugenelim

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill turns open-ended questions into disciplined, evidence-backed research so you can make decisions from cited findings instead of guesses.

Core Features & Use Cases

  • Flexible research modes: Handles quick lookups, standard evidence surveys, applied practitioner research, and deep adversarial review.
  • Source triangulation: Pulls from web, script-based retrievers, and available MCP tools while favoring independent, high-quality sources.
  • Confidence and gap reporting: Tags findings with confidence levels, names downgrade reasons, and separates known unknowns from unknowables.
  • Use Case: Use it when you need a cited survey on a technical choice, a fact-check, a prior-art scan, or a best-practice review.

Quick Start

Ask the research skill to investigate your topic and return a cited evidence survey in the most appropriate mode.

Frequently Asked Questions about research

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

FAQPage Schema
How do I get cited evidence with confidence ratings for a research question?

To get cited evidence with confidence ratings, this skill investigates your question by triangulating independent sources and synthesizing findings into a report with explicit confidence levels and named downgrade factors.

What is source triangulation and when do I need it for fact checking?

Source triangulation is the process of verifying a claim by pulling from independent, high-quality sources across web, script, and MCP retrievers. You need it for fact checking to ensure your findings are reliable and backed by evidence.

Can I run a deep adversarial review or a quick lookup using the same evidence synthesis process?

Yes, you can run a quick lookup or a deep adversarial review using the same evidence synthesis process. The skill supports flexible research modes ranging from quick fact checks to standard academic surveys and deep adversarial reviews.

How do I handle known unknowns when surveying academic prior art?

When surveying academic prior art, the skill handles known unknowns by separating them from unknowables in a dedicated section for non-quick artifacts, ensuring your research output clearly identifies gaps in the evidence.

Does this research skill require any specific MCP tools or dependencies to function?

No specific dependencies are required. The skill investigates questions using available web, script-based retrievers, and MCP tools, dynamically favoring independent high-quality sources to produce cited findings.