moonshot-research

Execute public-web research queries across search engines, social media, and developer forums.

Updated May 20, 2026

Search Tags:#report generation #AI research #evidence collection #Codex integration #public-web research

Ready to run

npx skills add https://github.com/munlucky/moonshotnote-skills --skill moonshot-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: moonshot-research
Source: https://github.com/munlucky/moonshotnote-skills/tree/main/skills/moonshot-research
Command: npx skills add https://github.com/munlucky/moonshotnote-skills --skill moonshot-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, playwright, yt-dlp, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of conducting comprehensive public-web research, leveraging Codex for efficient evidence collection, analysis, and report generation.

Core Features & Use Cases

Public-Web Research: Execute deep research across web sources, including search engines, social platforms, and developer forums.
Evidence Collection: Gather and deduplicate evidence, ensuring accuracy and reliability.
Report Generation: Synthesize findings into a structured report with citations and confidence levels.
Use Case: For a company looking to understand the competitive landscape in the AI industry, this Skill can provide a detailed report on recent trends, product releases, and market dynamics.

Quick Start

Run the moonshot-research skill with a specific query, such as 'analyze the impact of AI on financial markets 2023'.

Frequently Asked Questions about moonshot-research

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

FAQPage Schema

How do I automate public-web research and generate a structured report?▼

Automate public-web research by executing queries across search engines, social media, and developer forums to generate a structured report with deduplicated evidence and confidence levels.

Do I need Python and Playwright to collect evidence from web sources?▼

Yes, you need Python, Playwright, and yt-dlp installed to retrieve and process data across web sources for comprehensive evidence collection and analysis.

Can I research competitive landscape trends across social media and developer forums?▼

Yes, you can research competitive landscape trends across social media and developer forums by organizing and executing targeted queries to gather market dynamics and product release data.

What is the best way to ensure evidence accuracy during web research?▼

Ensure evidence accuracy during web research by gathering and deduplicating evidence from multiple platforms, then synthesizing findings with citations and confidence levels.

Does Codex integration work for analyzing market dynamics and recent product releases?▼

Codex integration works for analyzing market dynamics by facilitating efficient evidence collection and generating detailed reports on recent product releases and industry trends.