UitbreidenOS Newsletter Drafter Skill
When to activate
User runs /draft-newsletter or after topic research is complete and ready for newsletter creation.
When NOT to use
Do not use this skill if research has not been conducted. Do not send without human approval.
Instructions
Open with a hook (1–2 sentences)
- Curiosity-driven statement, bold take, or timely insight
- Make it specific—reference the topic, data point, or trend
- No introductions or pleasantries
Build context section (100–150 words)
- Why does this topic matter right now?
- What changed recently?
- Set up the reader's need to know
Add 2–3 insight sections (100–150 words each)
- Use data points, case studies, expert quotes
- Each section = one clear idea
- Link sections logically (build toward a conclusion)
Close with actionable takeaway (50–100 words)
- What should readers do with this knowledge?
- Where can they go for more?
- Make it concrete, not theoretical
Craft CTA (1 sentence)
- Single, clear action (read, download, reply, register)
- Avoid generic CTAs ("learn more")
- Link to relevant resource or reply-back prompt
Generate subject line options (3 variations)
- Option A: Curiosity/question-based
- Option B: Data/number-based
- Option C: Urgency/newsworthiness-based
- Keep all <50 characters
Estimate word count and performance
- Confirm body is 300–800 words (target 500–600)
- Preview text for email client (40–80 chars)
- Note any areas for editing or tightening
Log to session-log.md
- Topic, hook, word count, status (DRAFTED), next step
Format
SUBJECT LINE: [Best performing variation]
PREVIEW TEXT: [40–80 chars]
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HOOK
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CONTEXT
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INSIGHT 1
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INSIGHT 2
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TAKEAWAY
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CTA
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FOOTER
[Unsubscribe + social]
Example
Input: Topic research on "5 AI Trends Driving Enterprise Tech Decisions" complete.
Output:
SUBJECT LINE: "5 AI Trends Reshaping Enterprise Tech (Q2 2026)"
PREVIEW TEXT: "From agentic workflows to model consolidation—here's what's actually moving the needle."
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HOOK
Enterprises stopped chasing every AI announcement. Now they're consolidating around what actually works—and it's creating a clear divide between winners and laggards.
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CONTEXT
Six months into 2026, enterprise AI adoption has shifted. The early hype is gone. What remains is pragmatic, ROI-focused deployment—and a clear winner's circle emerging around 5 specific trends.
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INSIGHT 1: AGENTIC WORKFLOWS ARE THE NEW FRONTIER
Leading enterprises are moving past single-task AI models toward agentic systems that can plan, execute, and report autonomously. McKinsey data (May 2026) shows 67% of Fortune 500 companies testing agentic workflows, with 35% in production on at least one use case.
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INSIGHT 2: MODEL CONSOLIDATION IS REAL
Companies are dumping multi-model stacks for single-vendor relationships. "The complexity tax is too high," says [Expert]. This favors Anthropic and OpenAI; smaller model providers are feeling pressure.
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TAKEAWAY
The next phase of enterprise AI isn't about "more models" or "more data." It's about depth, reliability, and measurable ROI. Companies betting on breadth are getting left behind.
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CTA
How is your company thinking about agentic workflows? Reply with your biggest blocker—I'm tracking enterprise strategy shifts and will feature the most interesting in next week's edition.
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FOOTER
Have feedback on this newsletter? Reply or [unsubscribe](link).
@twitter | @linkedin
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WORD COUNT: 285 | BODY TARGET: 500–600 (suggest +200–300 words in editing phase)
SUBJECT LINE VARIATIONS:
- Option A: "5 AI Trends Reshaping Enterprise Tech (Q2 2026)" [Newsworthiness]
- Option B: "The Enterprise AI Consolidation Is Real" [Data-driven]
- Option C: "Why Most Enterprise AI Projects Will Fail This Year" [Urgency/Contrarian]
Tags: #newsletter-drafting #content-creation #structured-writing