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Lirsakura
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report-gen

Generate structured Markdown reports for advisor profiles from multiple data sources.

10|4|Updated Feb 25, 2026
Search Tags:#report generation#academic research#data consolidation#markdown report#interview preparation#advisor analysis
One-click install
npx skills add https://github.com/Lirsakura/skills-hub --skill report-gen-lirsakura
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: report-gen
Source: https://github.com/Lirsakura/skills-hub/tree/main/skills/advisor-agent/skills/report-gen
Command: npx skills add https://github.com/Lirsakura/skills-hub --skill report-gen-lirsakura

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the creation of comprehensive, structured Markdown reports for advisor profiles, consolidating information from various sources into an easily digestible format.

Core Features & Use Cases

  • Multi-Template Reporting: Generates full reports, concise summaries, comparative analyses, and interview preparation guides.
  • Data Consolidation: Integrates data from professor profiles, academic metrics, paper analysis, reputation checks, and lab intelligence.
  • Use Case: After gathering all necessary information about a potential academic advisor, use this Skill to generate a detailed report that includes their academic standing, publication history, student feedback, and lab environment, helping you make an informed decision.

Quick Start

Use the report-gen skill to generate a full investigation report for Professor Jane Doe.

Frequently Asked Questions about report-gen

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

FAQPage Schema
How do I consolidate academic advisor data into a structured report?▼

Consolidating academic advisor data into a structured report requires aggregating professor profiles, scholar metrics, paper analysis, reputation, and lab intelligence to generate a comprehensive Markdown document.

What is the best way to generate interview preparation reports for potential advisors?▼

Generating interview preparation reports involves consolidating academic metrics and lab intelligence data into a specialized template that formats advisor profiles for interview readiness.

What input data do I need to generate a full advisor profile report?▼

Generating a full advisor profile report requires input data covering professor profiles, scholar metrics, paper analysis, reputation checks, and lab intelligence to ensure comprehensive data consolidation.

Can I generate comparative analyses of different academic advisors?▼

Generating comparative analyses of academic advisors is possible by using a comparative report template that consolidates scholar metrics and reputation data across multiple advisor profiles.

Does the report generation process support concise summary formats?▼

The report generation process supports concise summary formats alongside full reports, comparative analyses, and interview preparation templates to accommodate different academic research needs.

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