research-assistant

Conduct multi-source research and synthesize evidence into structured briefs.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/aimentor606/aether --skill research-assistant-aimentor606
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-assistant
Source: https://github.com/aimentor606/aether/tree/main/core/kortix-master/opencode/skills/GENERAL-KNOWLEDGE-WORKER/research-assistant
Command: npx skills add https://github.com/aimentor606/aether --skill research-assistant-aimentor606

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables comprehensive, multi-source research and synthesis for complex questions where accuracy, source quality, and explicit uncertainty matter more than speed. It prevents shallow or surface-level answers by requiring cross-checking, prioritizing primary sources, and documenting conflicts or gaps in evidence.

Core Features & Use Cases

  • Structured Evidence Gathering: Perform discovery searches, fetch and read primary sources, and compile citations and factual findings.
  • Source Validation & Cross-Checking: Emphasizes reading original publishers, checking recency, and noting conflicting or missing evidence.
  • Continuity for Long Research Sessions: Use session search/get for iterative work and to reuse prior findings across tasks.
  • Tooling Integration: Orchestrates web_search for discovery, webfetch or scrape_webpage for reading, and optional bash for parsing or chart generation.
  • Use Case: Produce an institutional-quality briefing, literature review, or decision memo that includes tables, citations, and a summary of uncertainty.

Quick Start

Ask the research-assistant to perform deep multi-source research on [topic] and return a structured, evidence-backed brief with citations and a summary of 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 source validation and cross-checking?

To conduct a literature review with source validation, perform discovery searches, fetch primary sources, cross-check facts, check recency, and document any conflicting or missing evidence. You compile citations and factual findings into a structured, evidence-backed brief.

Can I use web search and webpage fetching to synthesize evidence into a structured report?

Yes, web search and webpage fetching synthesize evidence into a structured report by orchestrating discovery searches, reading original publishers, and cross-checking data. The process prioritizes primary sources and generates reports with tables, citations, and uncertainty summaries.

Does multi-source research support session continuity for iterative evidence gathering?

Multi-source research supports session continuity for iterative evidence gathering by utilizing session search and get functions. This enables you to reuse prior findings across long research tasks and continue complex investigations without losing previously validated context.

What is the best way to prepare an institutional-quality briefing or decision memo?

The best way to prepare an institutional-quality briefing or decision memo is to prioritize primary sources, apply multi-source cross-checking, and document explicit uncertainty. This approach yields structured findings with citations, tables, and clear summaries of evidence gaps.

Can I generate charts or parse data during a multi-source research task?

Yes, you can generate charts or parse data during a research task using optional bash-based tooling integration. This allows for parsing fetched webpage data and generating charts to support the structured findings within your final briefing or literature review.