wc-brainstorm

Compare a draft to its research material and return topic-improvement suggestions.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/strivelogic-cto/writing-companion.io --skill wc-brainstorm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wc-brainstorm
Source: https://github.com/strivelogic-cto/writing-companion.io/tree/main/skills/wc-brainstorm
Command: npx skills add https://github.com/strivelogic-cto/writing-companion.io --skill wc-brainstorm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Drafts often miss coverage gaps and audience fit. This Skill analyzes a draft against its research material to surface topic improvements and ensure alignment with audience needs.

Core Features & Use Cases

  • Coverage analysis: identifies gaps, shallow sections, missing perspectives, and audience-fit issues.
  • Interactive editing plan: suggests changes and applies approved updates in a guided workflow.
  • Iterative refinement: coordinates with an auto-apply mode to streamline repetitive improvements.

Quick Start

Provide the draft file path and article type to start surfacing topic improvements and apply approved changes.

Frequently Asked Questions about wc-brainstorm

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

FAQPage Schema
How do I find topic gaps in my draft compared to research materials?

To find topic gaps in your draft, compare it against your research materials to identify missing perspectives, depth issues, and audience-fit opportunities. This analysis surfaces up to ten actionable suggestions for expanding sections or adding new angles.

What is draft analysis for content strategy and how does it work?

Draft analysis for content strategy is the process of evaluating an article draft against its research sources to detect coverage gaps. It applies the article structure and audience context to determine which sections need expansion or new angles, returning structured improvement suggestions.

How do I improve audience fit in my editorial workflow?

You improve audience fit by analyzing your draft to surface audience-fit issues and applying the target audience context to the evaluation. This ensures the suggested topic improvements and section expansions align with reader needs and expectations.

Can I use topic improvements for different article types?

Yes, you can generate topic improvements across common article types. The analysis applies the specific structure of the article type to determine which sections need expansion or new angles, providing concrete suggestions tailored to that format.

What's the best way to identify sections needing research in a draft?

The best way to identify sections needing research is to compare the draft against its source materials to find shallow sections. The analysis outputs a structured list flagging suggestions that require additional research, including specific research queries to execute.

How many topic improvement suggestions will I get from draft analysis?

You will receive a JSON array of up to ten actionable topic-improvement suggestions. Each suggestion includes the type, target section, rationale, audience alignment, and a research query if further investigation is needed.