What is the Writing Brainstorm Claude Code Skill?

It is a specialized extension for Claude Code that uses the Readwise MCP to help users find writing inspiration and organize research into structured outlines.

Can it distinguish between different types of writing?

Yes, it includes domain detection to suggest specific writing styles for legal, economic, or general prose based on the sources it finds.

Where are the brainstorming results saved?

The skill saves structured artifacts like OUTLINE.md and section deep-dives into the project's docs/ or scratch/ directories.

How does the sub-agent pattern benefit research?

Instead of overwhelming the main chat with hundreds of raw highlights, the skill uses parallel sub-agents to filter data and return only the most relevant quotes and summaries.

Does this skill require a Readwise subscription?

Yes, you must have a Readwise account and provide a READWISE_TOKEN environment variable for the skill to access your highlights.

Writing Brainstorm & Research

Name: Writing Brainstorm & Research
Author: edwinhu

byedwinhu

Content Management

Surfaces writing topics and gathers curated references from your Readwise highlight library using intelligent sub-agents.

About

Writing Brainstorm is a specialized Claude Code Skill designed to bridge the gap between reading and writing by integrating directly with the Readwise MCP. It helps users discover what to write about by analyzing reading patterns or gathers deep-dive references for a specific topic while maintaining high context efficiency through a parallel sub-agent pattern. Whether you are an academic researcher, a technical blogger, or a creative writer, this skill automates the tedious process of searching through highlights, deduplicating sources, and structuring professional outlines with mapped citations.

Key Features

Parallel sub-agent architecture to filter and summarize high volumes of research data.
Readwise MCP integration for seamless access to personal reading highlights and tags.
Automated generation of structured Markdown outlines with source attribution and section deep-dives.
Human-in-the-loop gathering mode to clarify intent, audience, and thesis before research.
Discovery mode for identifying thematic patterns, tensions, and content gaps in your reading.
0 GitHub stars

Use Cases

Building comprehensive content outlines with supporting quotes and semantic connections.
Conducting structured research for law reviews, policy papers, or technical documentation.
Generating fresh essay or blog post ideas based on recent reading habits and tags.

About

Key Features

Parallel sub-agent architecture to filter and summarize high volumes of research data.
Readwise MCP integration for seamless access to personal reading highlights and tags.
Automated generation of structured Markdown outlines with source attribution and section deep-dives.
Human-in-the-loop gathering mode to clarify intent, audience, and thesis before research.
Discovery mode for identifying thematic patterns, tensions, and content gaps in your reading.
0 GitHub stars

Use Cases

Building comprehensive content outlines with supporting quotes and semantic connections.
Conducting structured research for law reviews, policy papers, or technical documentation.
Generating fresh essay or blog post ideas based on recent reading habits and tags.