--- name: deep-research-notebooklm-fd3a737335b5 description: "Deep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as the research engine, then delivers formatted briefs and optional studio artifacts (slides, audio podcasts, videos, infographics, reports, mind maps)." --- # Deep Research via NotebookLM Research **$ARGUMENTS** deeply using the NotebookLM MCP server and deliver a structured research brief. Optionally generate studio artifacts (slides, audio podcasts, videos, infographics, reports, mind maps) from the research. ## Prerequisites - **NotebookLM MCP server** must be configured. Install via: `nlm setup add claude-code` - If NotebookLM MCP tools are not available, tell the user to run the setup command and restart their session. ## Research Workflow ### Step 1: Define Scope Determine the **research type** based on the user's request: | Type | Focus | |------|-------| | **Market Research** | Industry trends, market sizing, opportunities, TAM/SAM/SOM | | **Competitive Intel** | Competitor analysis, positioning gaps, feature comparisons | | **Client/Prospect Research** | Company background, pain points, decision makers, recent news | | **Trend Analysis** | Technology trends, adoption patterns, forecasts, emerging players | | **Proposal Research** | Background for proposals, sector-specific data, case studies | | **Academic/Technical** | Papers, frameworks, methodologies, state of the art | Tell the user what you plan to research and confirm the angle: > "I'll research [topic]. My angle: [specific focus]. I'll investigate: [2-3 specific questions]. Sound right, or should I adjust?" Wait for confirmation before proceeding. ### Step 2: Create NotebookLM Notebook Use `notebook_create` to create a notebook named: `Research: [Topic] - [YYYY-MM-DD]` ### Step 3: Add Context Sources Use `source_add` to seed the notebook with relevant context: - Add any URLs the user provides (articles, company pages, reports) - Add any documents or files the user references - Add text summaries of relevant background if no URLs are available - If researching a company, add their website, LinkedIn, recent press ### Step 4: Run Research Use `research_start` with a well-crafted query based on the topic and context. **Mode selection:** - Default: `"fast"` (~60 seconds, ~10 sources) -- good for most queries - Use `"deep"` only if the user explicitly asks for exhaustive research (can take 10+ minutes and may stall at 0 sources) **Tip:** Run direct `WebSearch` calls in parallel with NotebookLM for faster initial data gathering while the research engine works. Poll `research_status` until complete. Use the `query` parameter as fallback matching -- task IDs can change between `research_start` and `research_status` calls. ### Step 5: Import Discovered Sources Use `research_import` to bring discovered sources into the notebook for deeper analysis. ### Step 6: Query for Insights Use `notebook_query` to ask 3-5 targeted questions based on the research type: 1. **Overview**: "What are the key findings about [topic]?" 2. **Opportunities**: "What opportunities or gaps exist in this space?" 3. **Actions**: "What are the most actionable insights from this research?" 4. **Risks**: "What are the main risks, challenges, or counterarguments?" 5. **Custom**: A question specific to the research type (e.g., "Who are the top 5 competitors and how do they differentiate?" for competitive intel) ### Step 7: Write Research Brief Save the findings to a local file using the research brief template: **File path:** `research/[topic-slug]-[YYYY-MM-DD].md` Use the template from [research-brief-template.md](research-brief-template.md) to structure the output. Create the `research/` directory if it does not exist. ### Step 8: Present Takeaways After saving, present the user with: - **3-5 headline findings** (bullets, direct, no filler) - **1-2 recommended actions** connected to the user's stated goals - **Surprises or contrarian findings** -- anything that challenges assumptions - **The file path** where the full brief is saved - **The NotebookLM notebook URL** so the user can explore sources directly ### Step 9 (Optional): Generate Studio Artifacts Ask the user: "Want me to generate any artifacts from this research? Options: slides, audio (podcast), video, infographic, report, mind map." If yes, use `studio_create` with the notebook_id from Step 2. **Available artifact types and recommended settings:** | Type | Key params | Best for | |------|-----------|----------| | `slide_deck` | `slide_format`: `detailed_deck` or `presenter_slides`; `slide_length`: `short` or `default` | Executive presentations, client pitches | | `audio` | `audio_format`: `deep_dive`, `brief`, `critique`, or `debate`; `audio_length`: `short`, `default`, `long` | Podcast-style deep dives, learning on the go | | `video` | `video_format`: `explainer`, `brief`, `cinematic`; `visual_style`: `auto_select`, `classic`, `whiteboard`, etc. | Visual explainers, social media content | | `infographic` | `orientation`: `landscape`, `portrait`, `square`; `infographic_style`: `professional`, `bento_grid`, etc. | One-pagers, social sharing | | `report` | `report_format`: `Briefing Doc`, `Study Guide`, `Blog Post`, `Create Your Own` | Written deliverables, summaries | | `mind_map` | `title` | Visual knowledge mapping | **Common params for all artifact types:** - `language`: Set to the user's preferred language (e.g., `"en"`, `"es"`, `"pt"`) - `focus_prompt`: A clear directive about what to emphasize in the artifact - `confirm`: Must be `true` to proceed with generation **After creating an artifact:** 1. Poll `studio_status` until `completed` (audio/video: 5-15 min; slides/infographics: 2-5 min) 2. Use `download_artifact` to save locally if needed 3. Provide the notebook URL so the user can access artifacts directly **Tips:** - `audio` with `deep_dive` format produces the best podcast-style analysis - `slide_deck` with `detailed_deck` format works best for standalone reading; `presenter_slides` is better when accompanied by speaker notes - Audio status may show `"unknown"` once completed -- check for `audio_url` presence instead of waiting for a `"completed"` status ## Notes - Fast mode is recommended as the default. Deep mode is powerful but can take 10+ minutes and occasionally stalls. - Always confirm the research scope with the user before starting -- a well-scoped query produces dramatically better results. - The research brief template ensures consistent, actionable output across all research types. ## Additional Resources - [research-brief-template.md](research-brief-template.md) -- Template for structuring research brief output --- Source attribution: cocyuhao Original project: https://github.com/cocyuhao/ai-dev-tooling-research-archive/blob/f4a24bd1ab047411d4ae57ee9a96701a7706e779/claude-code-templates/cli-tool/components/skills/ai-research/deep-research-notebooklm/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2025 Daniel (San) Ávila Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ## Additional upstream notices deep-research-notebooklm-fd3a737335b5/DAVEAI-UPSTREAM-NOTICE.md # Third-party Research Archive Notice This repository is a personal learning and research archive. It may contain copied third-party projects or excerpts for study, comparison, and interview discussion. All original copyrights, licenses, README files, and ownership notices belong to their original authors. Content in this archive should not be interpreted as original work by this GitHub account unless a specific file explicitly says so. # Mega AI Hub resource metadata Creator / publisher: cocyuhao Original project: https://github.com/cocyuhao/ai-dev-tooling-research-archive/blob/f4a24bd1ab047411d4ae57ee9a96701a7706e779/claude-code-templates/cli-tool/components/skills/ai-research/deep-research-notebooklm/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Marketing, Product Management, Sales Roles: Business Development, Content Marketer, Growth Marketer, Market Research Analyst, Product Manager Specialties: API Tools: Google Analytics, Google Docs, Google Gemini, Notion, OpenAI API Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 482e5d056b455065076b11d9a16882e68df9fe1c9bdfc67b278927f5ac0538f5