desk-research

Summarize research literature into source-backed Nuggets, Facts, Insights, and Recommendations.

13|4|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/henrique-simoes/Istara --skill desk-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: desk-research
Source: https://github.com/henrique-simoes/Istara/tree/main/skills/discover/desk-research
Command: npx skills add https://github.com/henrique-simoes/Istara --skill desk-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researchers need to digest large volumes of literature; this Skill quickly distills papers, reports, and best practices into concise, source-backed summaries.

Core Features & Use Cases

  • Plan, execute, validate, and report a literature review by converting PDFs, DOCX, TXT, CSV, and MD into Nuggets, Facts, Insights, and Recommendations with source references.
  • Validate findings against cited sources and score confidence to support evidence-based decisions.
  • Use Case: A team aggregating industry reports can produce a structured literature brief for a product strategy or research synthesis.

Quick Start

Provide the input corpus and let the desk-research skill generate a concise, source-backed summary.

Frequently Asked Questions about desk-research

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

FAQPage Schema
How do I summarize research literature and extract key findings from academic papers?

To summarize research literature, you provide a corpus of academic papers and reports to generate concise briefs. The process extracts Nuggets, Facts, Insights, and Recommendations while validating findings against cited sources and assigning confidence scores.

Can I use this to extract insights from industry reports for a product strategy brief?

Yes, you can extract insights from industry reports to produce a structured literature brief for product strategy. The output validates findings against original sources and assigns confidence scores to support evidence-based decision-making.

What file formats work for aggregating sources during a literature review?

A literature review accepts PDF, DOCX, TXT, CSV, and MD file formats as input. Converting these sources generates structured summaries with source references, Nuggets, Facts, Insights, and Recommendations.

How does source validation and confidence scoring work in research summaries?

Source validation in research summaries works by checking extracted findings against the original cited documents. The system then assigns confidence scores to each finding, ensuring the final structured report supports reliable, evidence-based decisions.

What is the best way to structure a literature review across different domains?

The best way to structure a literature review is by organizing findings into Nuggets, Facts, Insights, and Recommendations. This structured report format includes source references and confidence scores, enabling concise briefs across multiple research domains.

Are there limitations to automating literature reviews from large text files?

Automating literature reviews from large text files depends on the quality and formatting of the input corpus. While the system extracts and validates findings against sources, complex or poorly formatted documents may affect the accuracy of generated confidence scores and insights.