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2 starsPython

I built a skill, grounded in research, to make your writing less boring

by efitz·May 6, 2026·1 point·0 comments

AI Analysis

●●SolidBig BrainNiche Gem

Academic taxonomy beats generic 'make this punchy' prompts any day.

Strengths
  • Synthesizes academic literature into a mechanistic taxonomy rather than vague vibes.
  • Distinguishes between 'not boring' and 'interesting' with specific linguistic markers.
  • Combines rule-based analysis with LLM synthesis for grounded recommendations.
Weaknesses
  • Zero stars and no issues suggest it's an early prototype with no community validation yet.
  • Requires manual setup of the agent workflow compared to one-click SaaS alternatives.
Category
Target Audience

Technical writers, engineers, and product managers

Similar To

Grammarly · Hemingway Editor · ProWritingAid

Post Description

My job at a large tech company requires me to write. A lot. Mainly I write docs to help align technical people on a technical strategy, or to inform executives about technical matters, or to make requests of executives about technical proposals.

I wanted to ensure that my writing was captivating and that the audience didn't just read the summary and skip the rest.

I used a chat agent to build a research report on the academic literature about what makes writing boring or not-boring ("not-boring" is NOT the same thing as "interesting"). I synthesized that into a taxonomy, and built tooling for mechanistic analysis and prompts for LLM analysis, synthesis and recommendation.

What this is: research-grounded analysis of a document with concrete evidence-based suggestions of how to improve it.

What this is NOT: it's not a simplistic prompt "Help me make my document better" or even "make every section/paragraph/sentence earn its place". (I am developing a separate skill for that in the same repo, but with a much more diligent approach).

I hope this helps you improve your own writing and effectiveness in business communication.

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