skills/integrations/notebooklm/notebooklm-master/SKILL.md
Shared resource library for NotebookLM Enterprise integration skills. DO NOT load directly - provides common references (setup, API docs, error handling, authentication) and scripts used by notebooklm-connect and individual NotebookLM skills.
npx skillsauth add beam-ai-team/beam-next-skills notebooklm-masterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This is NOT a user-facing skill. It's a shared resource library referenced by NotebookLM integration skills.
Provides shared resources to eliminate duplication across:
notebooklm-connect - Meta-skill for NotebookLM operationsnotebooklm-create-notebook - Create a new notebooknotebooklm-get-notebook - Get notebook detailsnotebooklm-list-notebooks - List recently viewed notebooksnotebooklm-delete-notebooks - Batch delete notebooksnotebooklm-share-notebook - Share notebook with usersnotebooklm-add-sources - Add sources (Drive, web, YouTube, text)notebooklm-upload-file - Upload file as sourcenotebooklm-get-source - Get source detailsnotebooklm-delete-sources - Delete sourcesnotebooklm-create-audio - Generate audio overview (podcast)notebooklm-delete-audio - Delete audio overviewInstead of loading this skill, users directly invoke the specific skill they need above.
Problem solved: NotebookLM skills would have duplicated content (setup instructions, API docs, auth flow, error handling).
Solution: Extract shared content into notebooklm-master/references/ and notebooklm-master/scripts/, then reference from each skill.
Result: Single source of truth, reduced context per skill.
All NotebookLM skills reference these resources (progressive disclosure).
setup-guide.md - Complete setup wizard
api-reference.md - NotebookLM API patterns
error-handling.md - Troubleshooting
authentication.md - Auth management
check_notebooklm_config.py - Pre-flight validation
--json flag for structured AI-consumable outputsetup_notebooklm.py - Interactive setup wizard
notebooklm_client.py - API client
When a NotebookLM skill fails due to missing configuration, the AI should:
uv run python skills/notebooklm/notebooklm-master/scripts/check_notebooklm_config.py --json
ai_action FieldThe JSON output includes an ai_action field that tells the AI what to do:
| ai_action | What to Do |
|-----------|------------|
| proceed_with_operation | Config OK, continue with the original operation |
| install_gcloud | Guide user to install Google Cloud SDK |
| run_gcloud_auth | Run: gcloud auth login |
| configure_project | Set project: gcloud config set project PROJECT_ID |
| run_setup_wizard | Run: python .../setup_notebooklm.py |
If ai_action is configure_project:
gcloud config set project PROJECT_ID.env with project settingsRequired in .env:
GOOGLE_CLOUD_PROJECT_NUMBER=123456789012
NOTEBOOKLM_LOCATION=global
NOTEBOOKLM_ENDPOINT_LOCATION=global
All API requests go to:
https://{ENDPOINT_LOCATION}-discoveryengine.googleapis.com/v1alpha/projects/{PROJECT_NUMBER}/locations/{LOCATION}
Endpoint location prefixes: us-, eu-, or global-
Version: 1.0 Created: 2025-12-27 Status: Generated by add-integration skill
tools
Build a Palantir-shape, PDF-native use-case proposal document for a sophisticated enterprise account: research-grounded use cases (each with description, challenge, impact, value), an operating-graph ontology page, a recommended PoC with a week-by-week plan, and a closing page that asks for one decision. Load when a client asks us to 'propose high-impact use cases', requests a use-case presentation/catalog for a function (finance, HR, ops), or when a technical evaluation team will review candidates to pick a PoC. NOT for single-account cold outreach (use prospect-brief), full process diagnostics (use operating-diagnostic), or priced proposals (use proposal-creation).
development
Convert Beam Figma slide designs into high-fidelity, editable HTML presentation decks. Use when Codex is asked to audit Figma slides, extract slide templates, rebuild Beam slides as HTML decks, decide whether Figma imagery should be exported or rebuilt in HTML/CSS, create Beam/Prism-compatible deck templates, or improve fidelity of existing Beam HTML slide rebuilds.
development
Use the Beam AI reusable slide library: individual HTML slide templates extracted from Beam Figma rebuilds, kept separate from deck themes and full deck templates. Load when the user asks for a slide library, specific Beam slide patterns, reusable Figma-inspired slides, Prism slide-library items, or slide-level HTML templates.
development
Use Beam AI deck and report design packs, HTML templates, and curated examples to create sales decks, customer intro decks, RPO decks, and DIN A4 use-case proposal reports. Load when the user asks for Beam-branded presentation templates, Prism-compatible deck templates, Beam report templates, customer intro decks, commercial proposals, or reusable HTML deck/report examples.