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flatline-knowledge

Query NotebookLM for external knowledge during Flatline Protocol reviews.

Updated Feb 23, 2026
Search Tags:#notebooklm#fallback#browser-automation#knowledge-retrieval#flatline-protocol#auth-management
One-click install
npx skills add https://github.com/Adeitasuna/MibeStats --skill flatline-knowledge-adeitasuna
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: flatline-knowledge
Source: https://github.com/Adeitasuna/MibeStats/tree/main/.claude/skills/flatline-knowledge
Command: npx skills add https://github.com/Adeitasuna/MibeStats --skill flatline-knowledge-adeitasuna

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires patchright.

What problem does it solve?

Provides optional NotebookLM integration for the Flatline Protocol, enabling external knowledge retrieval to augment the local grimoire search during adversarial reviews.

Core Features & Use Cases

  • Tier 2 knowledge source: An external NotebookLM-based knowledge retrieval to supplement Tier 1 local knowledge.
  • Graceful fallback: If NotebookLM is unavailable or unauthenticated, the workflow continues using local knowledge.
  • Domain-phase queries: Supports inputs like domain and phase (prd, sdd, sprint) to tailor responses.
  • Authentication management: Setup and reuse persistent authentication across sessions.

Quick Start

Invoke the NotebookLM integration by supplying a domain and phase to fetch contextual knowledge for Flatline Protocol reviews.

Frequently Asked Questions about flatline-knowledge

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

FAQPage Schema
How do I retrieve external knowledge for NotebookLM queries during code reviews?▼

You retrieve external knowledge for NotebookLM queries by supplying a domain and phase parameter, which fetches contextual content and citations to augment adversarial reviews across PRD, SDD, and sprint phases.

What happens to my adversarial review if NotebookLM authentication fails or times out?▼

If NotebookLM authentication fails or times out, the workflow executes a graceful fallback, continuing the adversarial review using local knowledge instead of halting the process.

Do I need Patchright and Chromium to use NotebookLM for knowledge retrieval?▼

Yes, you need Patchright and Chromium to satisfy integration requirements for NotebookLM knowledge retrieval, alongside an environment running Python 3.10 or higher.

How does domain-phase querying work for PRD, SDD, and sprint reviews?▼

Domain-phase querying works by accepting specific inputs like domain and phase (prd, sdd, sprint) to tailor NotebookLM responses, returning targeted content and citations for Flatline Protocol reviews.

Can I set up persistent authentication for NotebookLM browser automation across sessions?▼

Yes, you can set up and reuse persistent authentication across sessions for NotebookLM browser automation, ensuring continuous external knowledge retrieval without repeated manual logins.

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