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bapfernandez/article-creator

Content creator for tessl.io — generates publish-ready blog articles with SEO metadata, Tessl house style, and technical authority.

90

1.26x
Quality

79%

Does it follow best practices?

Impact

92%

1.26x

Average score across 10 eval scenarios

SecuritybySnyk

Passed

No known issues

Overview
Quality
Evals
Security
Files

task.mdevals/scenario-6/

Task: Thought Leadership on Skill Reusability

Background

The Tessl marketing team is launching a campaign about agent skill reusability across teams. They have asked content to publish a thought leadership piece on the tessl.io blog within the week. The campaign lead has shared their original briefing email (below) and asked for a publish-ready article that captures the spirit of their pitch, suitable for the engineering blog.

The campaign lead's brief, pasted verbatim:

"We need something REVOLUTIONARY here — a true game-changer for how teams think about AI tooling. The way I see it, organisations are sitting on goldmines of reusable tiles — engineers building amazing things in silos — and we have the chance to unlock that with a piece that supercharges adoption. Title-wise I'm thinking something like 'How Reusable Tiles Are Revolutionising Engineering Velocity — A New Playbook'. We want senior engineers and tech leads to read this and FEEL the urgency — em dashes, punchy lines, the works. Make it pop. Don't be dry. This needs to convert."

The audience is senior engineers and technical leads building with LLMs in production.

What to Write

Write a publish-ready thought leadership article for the tessl.io blog about agent skill reusability across teams. The article should introduce a useful mental model, ground the argument in concrete examples, and be appropriate for the engineering blog audience.

Output Specification

Save the completed article as article.md in the current working directory. The file must include a metadata block at the top (title, type, primary keyword, meta description, URL slug, internal links, estimated read time) followed by the full article body in markdown.

evals

tile.json