Skip to main content

research-tools

Use when researching topics, finding YouTube videos, analyzing sources with NotebookLM, or doing requirements gathering interviews. Triggers on research, find videos, YouTube search, analyze sources, NotebookLM, research pipeline, deep interview, interview me, requirements gathering, Socratic, yt-dlp, transcript, audio overview, infographic, mind map, study guide, FAQ, briefing doc, find and analyze, research for me, analyze these videos, competitive research.

소스 정보

저장소
george11642/george-plugins
최근 소스 활동
2026년 3월 11일 22:42
감지된 SKILL.md 언어
영어
스타
2
포크
0

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

파일 탐색기
5 개 파일

SKILL.md 표시 중

SKILL.md
소스 지침 · 읽기 전용 미리보기
name
research-tools
description
Use when researching topics, finding YouTube videos, analyzing sources with NotebookLM, or doing requirements gathering interviews. Triggers on research, find videos, YouTube search, analyze sources, NotebookLM, research pipeline, deep interview, interview me, requirements gathering, Socratic, yt-dlp, transcript, audio overview, infographic, mind map, study guide, FAQ, briefing doc, find and analyze, research for me, analyze these videos, competitive research.
metadata
{"version":"1.0.0"}
# Research Tools Route research, analysis, and requirements-gathering tasks to the correct workflow. ## Task Router | Task | Reference | Key Actions | |------|-----------|-------------| | Analyze sources with NotebookLM, generate deliverables | [references/notebooklm-workflow.md](references/notebooklm-workflow.md) | Create notebook, add sources, ask questions, generate audio/infographic/FAQ | | Search YouTube for videos, fetch transcripts | [references/youtube-search.md](references/youtube-search.md) | yt-dlp search, structured results table, VTT transcript extraction | | End-to-end research: YouTube -> NotebookLM -> Obsidian | [references/research-pipeline.md](references/research-pipeline.md) | Chain all 3 tools, save structured notes to vault | | Socratic requirements gathering, spec crystallization | [references/interview-technique.md](references/interview-technique.md) | Ambiguity scoring, challenge agents, spec document generation | ## Quick Decision - **"Analyze these sources"** -> NotebookLM workflow - **"Find videos about X"** -> YouTube search - **"Research X for me" / "find and analyze"** -> Full pipeline - **"Interview me" / "I have a vague idea"** -> Deep interview - **URL provided directly** -> Skip search, go to NotebookLM or transcript ## MCP Tools Required Use ToolSearch at task start to load: - `mcp__notebooklm__*` — NotebookLM notebook management and questions - `mcp__obsidian__*` — Obsidian vault note creation (for pipeline saves) ## Shared Principles - Always return full YouTube URLs so they can be passed to NotebookLM as sources - NotebookLM handles its own transcription — do not pre-fetch transcripts when passing to NotebookLM - Visual deliverables (infographic, mind map) can take 5-15 minutes — set expectations - Deep interview: one question at a time, target weakest clarity dimension, never batch - Research pipeline default: 10 videos, analysis only (escalate to deliverable if requested) ## Layer 3 Skills - `notebooklm-research` — NotebookLM MCP workflow for source analysis and deliverable generation - `youtube-research` — YouTube video search and transcript extraction via yt-dlp - `research-pipeline` — Full YouTube -> NotebookLM -> Obsidian orchestration - `deep-interview` — Socratic requirements gathering with mathematical ambiguity scoring
GitHub에서 보기