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.