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research-hunter

Combine YouTube transcripts, Reddit threads, and Twitter/X data into structured reports.

Updated Apr 9, 2026
Search Tags:#twitter#youtube#transcription#deep analysis#reddit#multi-source research
One-click install
npx skills add https://github.com/States-Media/claude-code-starter --skill research-hunter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-hunter
Source: https://github.com/States-Media/claude-code-starter/tree/main/skills/research-hunter
Command: npx skills add https://github.com/States-Media/claude-code-starter --skill research-hunter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yt-dlp, whisper-cpp, ffmpeg, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables exhaustive research across YouTube, Reddit, and Twitter/X, consolidating diverse sources into actionable intelligence.

Core Features & Use Cases

  • Multi-Source Deep Search: Executes parallel searches on videos, threads, and tweets using dedicated tools, ensuring no relevant content is missed.
  • Transcription & Data Extraction: Transcribes YouTube videos locally with Whisper, retrieves full Reddit discussions, and gathers relevant tweets with API calls.
  • Analysis & Synthesis: Extracts detailed technical details, debate points, and consensus to produce comprehensive reports for research, decision-making, or documentation.

Quick Start

Invoke this skill to conduct an in-depth, multi-source investigation on a topic such as "best practices for Claude Code setup."

Frequently Asked Questions about research-hunter

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

FAQPage Schema
How do I compile multi-source research from YouTube, Reddit, and Twitter into a single report?▼

Multi-source research compiles video transcriptions, Reddit threads, and Twitter insights by executing parallel searches and synthesizing the extracted details into a structured analytical report. It integrates diverse social media and forum content for technical review.

Can I transcribe YouTube videos locally for deep analysis without uploading them to a cloud API?▼

Yes, local YouTube video transcription for deep analysis uses tools like yt-dlp to fetch content and whisper-cpp to transcribe audio locally. This extracts text data without relying on external cloud transcription APIs, ensuring data privacy.

Does this multi-source research approach require ffmpeg and yt-dlp to extract video transcriptions?▼

Yes, comprehensive multi-source research requires yt-dlp to download YouTube video streams and ffmpeg to process media files. These dependencies are essential for extracting and preparing audio feeds for local transcription.

What is the best way to analyze forum discussions and social media insights for technical decision-making?▼

The best way to analyze forum discussions and social media insights is retrieving full Reddit threads and relevant tweets via API calls, then extracting debate points and consensus. This synthesizes diverse viewpoints into actionable intelligence for decisions.

Are there limitations when using whisper-cpp for exhaustive multi-platform video transcription?▼

Whisper-cpp local transcription performance depends on available hardware resources for processing audio feeds. While effective for multi-platform research, transcription speed and accuracy may vary with audio quality and local compute limits.

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