research-assistant

Conduct multi-source research and synthesize evidence into structured reports with citations.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/yethikrishna/humble --skill research-assistant-yethikrishna
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-assistant
Source: https://github.com/yethikrishna/humble/tree/main/core/kortix-master/opencode/skills/GENERAL-KNOWLEDGE-WORKER/research-assistant
Command: npx skills add https://github.com/yethikrishna/humble --skill research-assistant-yethikrishna

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the need for thorough, multi-source research that prioritizes source quality, cross-checking, and synthesis before producing final findings or recommendations. It prevents superficial or single-source answers by enforcing iterative evidence gathering, explicit citation, and transparent uncertainty reporting.

Core Features & Use Cases

  • Evidence-first synthesis: Gather primary and authoritative sources, cross-check claims, and produce a structured summary with citations.
  • Research continuity: Reuse prior session work, extend earlier findings, and avoid duplicating existing evidence gathering.
  • Phased workflows: Support separate research, asset collection, and build phases for reports, decks, or data artifacts.
  • Use Case: Prepare a market brief that compiles primary statistics, reconciles conflicting figures, and delivers an evidence-backed recommendation with an annotated source list.

Quick Start

Run deep multi-source research on the impacts of remote work since 2018 and return a structured, evidence-backed summary with source URLs and noted uncertainties.

Frequently Asked Questions about research-assistant

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

FAQPage Schema
How do I conduct a literature review with cross-checked primary sources?

To conduct a literature review with cross-checked primary sources, this Skill gathers authoritative materials, cross-checks claims, and synthesizes findings into a structured report with explicit citations. It enforces iterative evidence gathering to prevent superficial answers.

What is evidence-based synthesis for multi-source research?

Evidence-based synthesis for multi-source research is the process of gathering primary and authoritative sources, cross-checking conflicting claims, and producing a structured summary with citations and noted uncertainties. This approach ensures conclusions are backed by verified data.

Can I reuse prior session work for iterative validation in a research report?

Yes, you can reuse prior session work for iterative validation in a research report. This Skill supports research continuity by extending earlier findings and avoiding duplicated evidence gathering across multiple investigative phases.

Does this multi-source research approach support web discovery and full-text retrieval?

Yes, this multi-source research approach supports web discovery and full-text retrieval. It satisfies requirements for cross-checking primary sources, iterative evidence gathering, and optional shell-driven data processing while explicitly citing sources.

What is the best way to compile a market brief with conflicting statistics?

The best way to compile a market brief with conflicting statistics is to use phased workflows that gather primary statistics, reconcile conflicting figures, and deliver an evidence-backed recommendation with an annotated source list and transparent uncertainty reporting.