Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    email newsletter architect

    1

    Structure high-engagement newsletters using professional hook engineering, section flow design, and subject line labs.

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    email newsletter architect

    email newsletter architect

    Example session with this skill installed

    Create a newsletter plan for a weekly AI tools digest for developers. The goal is to increase click-through rates. Audience is senior software engineers. Topic: local LLMs vs APIs.

    • Read your context and instructions
    • Compiled the email newsletter architect

    I have structured your newsletter edition using the Architecture System, focusing on the technical trade-offs between local inference and API providers.

    Newsletter Architecture: Local LLMs vs APIs

    1. Edition Structure (800 Words Total)

    SectionTypeFocusWeight
    PrimaryDeep DiveBenchmarking Llama 3 local vs. GPT-4o latency60%
    SecondaryTool SpotlightOllama + Open WebUI setup guide25%
    CuratedLink LabTop 5 GitHub repos for local quantization15%

    2. Hook Engineering & Subject Lines

    StrategySubject LineOpen-Trigger (1-5)Rationale
    ContrarianWhy your $300/mo API bill is a skill issue5Challenges status quo efficiency.
    Data Reveal42ms vs 800ms: The local inference reality4Uses specific numbers to peak interest.
    CuriosityThe quantization trick GPT-4 doesn't want you to use4Creates a curiosity gap.
    PersonalHow I moved my entire dev workflow to a Mac Studio3Relatable migration story.
    UrgencyStop leaking your IP to OpenAI: Local setup guide5Privacy-focused urgency.

    3. Section Flow & Engagement Scoring

    • Open: Personal story about a production API outage.
    • Transition: Shift from reliability to cost-per-token metrics.
    • Body: Subheads every 200 words; bolding used for hardware specs (VRAM, quantization levels).
    • P.S. Strategy: Reinforce the "Privacy" benefit. Add a secondary CTA for the community Discord.

    Engagement Forecast: 38-44% Open Rate; 8-12% CTR (Estimated for Senior Dev segment).

    Next steps

    1. Select the Contrarian subject line for highest engagement.
    2. Draft the Primary section focusing on the vLLM vs. TGI performance table.
    3. Insert the link to the local setup repo in the first 20% of the body copy.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Build recurring edition structures to train reader habits.Generate data-backed subject lines to increase open rates.Optimize P.S. sections for secondary conversions and social proof.Score drafts for skimmability and scan patterns to improve CTR.

    About this skill

    The problem

    Most newsletters are written without a structural framework, leading to declining open rates and low click-through engagement. Writing from a blank page often results in inconsistent flow that fails to train readers on what to expect.

    What it does

    • Structures editions using a 60/25/15 ratio to balance primary content, secondary insights, and curated links.
    • Generates five distinct subject line variants based on curiosity, specificity, contrarianism, personal relatability, and urgency.
    • Optimizes the P.S. section using benefit reinforcement and social proof frameworks to capture high-intent readers.
    • Scores every draft for skimmability, scan patterns, and contextual link placement.
    • Provides engagement forecasts and open-rate predictions based on hook types and industry benchmarks.

    Why this beats prompting it yourself

    Standard prompts often produce generic wall-of-text responses that ignore newsletter-specific mechanics. This skill encodes professional publishing frameworks, ensuring every output includes structured scoring, prioritized recommendations, and specific psychological hook types that a general LLM would overlook.

    Use cases

    • Planning weekly editions to move from a blank page to a structured draft in minutes.
    • Launching a new newsletter with a predefined architecture for long-term consistency.
    • Auditing underperforming newsletters to identify gaps in hook engineering or section flow.
    • Standardizing output across multiple authors to maintain a unified brand voice and layout.

    Known limitations

    Analysis of previous engagement data is only as accurate as the metrics provided. Non-English content may reduce the precision of hook scoring and spam-risk analysis.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Verified clean 23 days ago

    • Passed all security checks, Safe to install

    Listed23 days ago

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