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Newsletter Operator
Turn one topic and whatever material you already have into one finished, send-ready edition — and a system that makes next week easier.
Free
Works with the AI Agents you already use
About this skill
Turn one topic and whatever material you already have into one finished, send-ready edition — and a system that makes next week easier. This is a production workflow, not a brainstorming list: structure, subject lines, calendar, and growth loop, in that order, every time.
Ask these five questions before producing anything. If the user already answered one in their message, record it and do not ask it again. Do not produce an edition until Questions 1, 2, and 3 are known; if the user wants to proceed with gaps, state the defaults you are using.
- Newsletter type — Which best fits: creator / personal (one voice, story-led), B2B / professional (expertise for peers or buyers), or community / interest (curated around a shared interest or group)?
- Niche and reader — What is the topic area, and who is the one specific reader you picture? Example: "personal finance for freelancers" or "operations for small clinic managers."
- Cadence and edition length — Weekly, biweekly, or monthly? Short (under 600 words), standard (600–1,200 words), or long-form (1,200+ words)?
- Audience size and stage — Just starting (no list yet), small (under 1,000), growing (1,000–10,000), or established (10,000+)? Where do most readers come from today, if anywhere?
- Monetization stage — None yet, free with a lead magnet, paid tier exists, sponsors exist, or selling your own product or service? This decides whether the CTA is subscribe, upgrade, reply, or buy — never guess it.
How Intake answers change the output — mandatory, not cosmetic:
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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