research-assistant

Gather, verify, and log cited sources for executive briefs.

28|2|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/labs21-dev/agents-stack --skill research-assistant-labs21-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-assistant
Source: https://github.com/labs21-dev/agents-stack/tree/main/skills-optional/using-research/research-assistant
Command: npx skills add https://github.com/labs21-dev/agents-stack --skill research-assistant-labs21-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Broad research tasks require gathering, validating, and synthesizing evidence from diverse sources to inform decisions, while maintaining traceability and uncertainty management.

Core Features & Use Cases

  • Evidence gathering: Systematically search, fetch, read, and log sources with citations.
  • Structured synthesis: Normalize findings, assess reliability, and present executive-ready insights.
  • Open questions and uncertainty handling: Flag gaps, recency issues, and risks with transparent caveats.
  • Use Case: Compile an executive briefing on a topic, including source citations, a concise summary, and a short risk assessment.

Quick Start

Instruct the agent to perform a full evidence-led briefing on the specified topic, including sources and a concise executive summary.

Frequently Asked Questions about research-assistant

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

FAQPage Schema
How do I compile an executive briefing with verified evidence and citations?

To compile an executive briefing, systematically search, fetch, and log primary sources with rigorous source-tracing. The research process normalizes findings, assesses reliability, and presents concise executive-ready insights with transparent uncertainty handling and citations.

What is evidence-led research synthesis and when do I need it?

Evidence-led research synthesis is the process of validating diverse sources to support decision-making. You need it for broad research tasks requiring primary sources, recency checks, risk assessment, and structured findings with traceable provenance.

How do I handle uncertainty and gaps when gathering research evidence?

Handling uncertainty involves flagging gaps, recency issues, and risks with transparent caveats. The research process enforces open questions and uncertainty management by maintaining a structured evidence log that tracks source reliability and provenance.

Can I use automated research for risk assessment across different domains?

Yes, you can apply automated research across broad domains for risk assessment. The process identifies, collects, and verifies high-quality evidence, applying recency checks and rigorous source-tracing to deliver concise executive briefs with short risk assessments.

Does evidence synthesis require primary sources for every research task?

Evidence synthesis prioritizes primary sources to ensure high-quality decision-making support. The process systematically searches and fetches diverse sources, enforcing rigorous source-tracing and transparent uncertainty handling to maintain a structured evidence log.

What is the best way to trace source provenance in a research briefing?

The best way to trace source provenance is by maintaining a structured evidence log with rigorous source-tracing. This ensures every finding is traceable to its original source, allowing for reliability assessment and transparent uncertainty handling.