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Writes engaging technical blog posts with a strong hook, clear structure, concrete examples, and a memorable takeaway.
Passed 18 of 24 test cases with the skill, and 12 of 24 without it.
and 4 more in the full report
7 fixed11 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
What utility should be executed on a completed draft to calculate objective readability metrics and detect filler words?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends executing scripts/readability.py on the draft text. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill produces publishable technical blog posts that readers actually finish: a hook that earns the first scroll, a spine of clear sections, runnable examples, and a takeaway the reader can act on. Keywords: blog post, technical article, dev blog, tutorial, write-up, engineering blog, Medium, dev.to, Hashnode, announcement, essay, headline, hook, SEO.
Use it for tutorials, deep dives, "how we built X" stories, opinion/architecture pieces, release announcements, and concept explainers.
Follow these steps in order. Do not skip step 1 — most weak posts fail on audience and angle, not prose.
templates/outline.md. Aim for 4-7 sections plus intro and conclusion.references/hooks.md. The first two sentences must create tension or promise a payoff. No "In today's fast-paced world."references/headlines.md) and a 150-160 char meta description.references/editing-checklist.md. Then run scripts/readability.py on the draft for objective metrics. Cut 10%.Title (benefit-driven, specific)
Hook (2-4 sentences: tension/promise)
Context (why this matters now, who it's for) — keep short
Body section 1..N (point → example → implication)
Takeaway (action/summary)
CTA (optional: comment, follow, try the repo)
test cases passed, vs 12 / 24 without
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