research-synthesis-planner

Organize academic paper collections into a structured NotebookLM research synthesis workflow.

Updated May 6, 2026
One-click install
npx skills add https://github.com/Takfes/indie-scaffolder --skill research-synthesis-planner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-synthesis-planner
Source: https://github.com/Takfes/indie-scaffolder/tree/main/components/agent-skills-commands/.agents/skills/research-synthesis-planner
Command: npx skills add https://github.com/Takfes/indie-scaffolder --skill research-synthesis-planner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Helps researchers turn a raw collection of papers into a disciplined NotebookLM analysis plan instead of ad hoc questioning. It prevents missed cross-paper patterns, vague prompts, and fragmented synthesis by anchoring every step to a clear research lens and decision.

Core Features & Use Cases

  • Research anchoring: Builds a structured anchor covering the problem framing, core decision, constraints, success criteria, and optional applied context.
  • Prompt sequencing: Generates orientation, thematic cut, synthesis, and gap-analysis prompts tailored to the paper collection.
  • NotebookLM workflow support: Supports notebook creation, source loading, pinned anchor notes, and optional prompt execution or planning-document export through MCP.
  • Use cases: Ideal for literature reviews, applied research decisions, and systematic exploration of academic paper sets across domains.

Quick Start

Ask this skill to create a research anchor and NotebookLM prompt sequence for my paper collection.

Frequently Asked Questions about research-synthesis-planner

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

FAQPage Schema
How do I structure a literature review using academic paper collections in NotebookLM?

To create a research plan for academic papers, you define a structured anchor covering problem framing, core decisions, constraints, and success criteria, then generate ordered prompts for orientation, thematic cuts, synthesis, and gap analysis.

What is the best way to turn a raw set of academic papers into applied research decisions?

Applied research decisions from paper collections require a structured anchor defining the core decision, constraints, and success criteria, followed by ordered prompt execution generating orientation, thematic analysis, synthesis, and gap analysis outputs.

Can I use NotebookLM MCP to automate source ingestion and prompt execution for literature reviews?

Yes, NotebookLM MCP supports notebook creation, source ingestion, pinned anchor notes, ordered prompt execution, and optional markdown planning export for literature review workflows.

Why does my academic paper synthesis produce fragmented results instead of cross-paper patterns?

Fragmented synthesis results from ad hoc questioning without a structured research anchor defining problem framing, core decisions, and success criteria, causing missed cross-paper patterns and vague prompt execution.

Do I need a specific number of academic papers to generate a research synthesis workflow?

No minimum paper count is mandated, but the academic paper collection must contain sufficient sources to support orientation, thematic analysis, synthesis, and gap analysis across literature reviews or applied research decisions.