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Aeo Optimization

Checked
alinaqi·vlatest·marketing·MIT

Dynamically adjusts resource allocation and task sequencing to maximize efficiency and output across diverse workflows.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add alinaqi/maggy --skill aeo-optimization -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

alinaqi

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned alinaqi/claude-bootstrap at 72a456e6cc.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 530 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to perform Automated Email Optimization (AEO), streamlining the process of drafting, refining, and sending professional correspondence. It assists in generating context-aware email drafts that adhere to specific tone and formatting requirements.

When to use it

  • Drafting initial responses to client inquiries or support tickets.
  • Refining rough notes into polished, professional business emails.
  • Ensuring consistent tone and style across a team's outgoing communications.
  • Quickly generating follow-up messages based on previous conversation threads.

Key capabilities

  • Automated drafting of email content based on user prompts.
  • Optimization of language for clarity, professionalism, and impact.
  • Context-aware generation that adapts to specific communication goals.

Example prompts

  • "Draft a polite follow-up email regarding the status of my recent project proposal."
  • "Optimize this rough note into a professional email to a potential client: [insert notes]."
  • "Write a concise response to a customer complaint about a delayed shipment, maintaining a helpful tone."

Tips & gotchas

Ensure you provide sufficient context regarding the recipient and desired outcome for the most accurate results. Always review generated drafts before sending to verify accuracy and appropriateness for your specific situation.