# Newsletter Drafter

> Newsletter Drafter Skill

- Skill: `uitbreidenos/newsletter-drafter` (Agent Skill)
- Install (CLI): `npx skillmds@latest add uitbreidenos/newsletter-drafter`
- Raw SKILL.md: https://api.skillmd.com/api/skills/uitbreidenos/newsletter-drafter/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: UitbreidenOS (https://skillmd.com/u/uitbreidenos)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/uitbreidenos/newsletter-drafter

---

# 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

1. **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

2. **Build context section** (100–150 words)
   - Why does this topic matter right now?
   - What changed recently?
   - Set up the reader's need to know

3. **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)

4. **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

5. **Craft CTA** (1 sentence)
   - Single, clear action (read, download, reply, register)
   - Avoid generic CTAs ("learn more")
   - Link to relevant resource or reply-back prompt

6. **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

7. **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

8. **Log to session-log.md**
   - Topic, hook, word count, status (DRAFTED), next step

## Format

```
SUBJECT LINE: [Best performing variation]

PREVIEW TEXT: [40–80 chars]

---

HOOK

---

CONTEXT

---

INSIGHT 1

---

INSIGHT 2

---

TAKEAWAY

---

CTA

---

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."

---

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.

---

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.

---

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.

---

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.

---

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.

---

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.

---

FOOTER
Have feedback on this newsletter? Reply or [unsubscribe](link).
@twitter | @linkedin

---

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