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Enrollment Persona Playbook

Checked
gtmagents·vlatest·marketing·Apache-2.0

This playbook guides AI to convincingly embody a prospective student’s journey, boosting engagement and understanding during enrollment processes.

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 gtmagents/gtm-agents --skill enrollment-persona-playbook -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

gtmagents

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 gtmagents/gtm-agents at 78e0419f44.

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

Scanned
1 file, 32 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 allows an AI agent to generate enrollment persona playbooks. It creates detailed profiles of prospective students, outlining their motivations, concerns, and preferred communication styles. These playbooks help guide interactions and personalize the enrollment process for improved engagement and conversion rates.

When to use it

  • Personalizing outreach: Generate a playbook for a specific applicant based on limited information from an application form.
  • Training enrollment staff: Use generated personas as examples during training sessions to illustrate different student types.
  • Developing marketing materials: Inform the creation of targeted advertising campaigns by understanding potential student needs and interests.
  • Improving communication strategies: Tailor email sequences or phone scripts based on a persona's preferred communication style.

Key capabilities

  • Persona generation
  • Motivation identification
  • Concern articulation
  • Preferred communication style definition

Example prompts

  • "Create an enrollment persona playbook for a prospective student who is a working parent looking to earn a degree online."
  • "Generate a persona playbook based on this application: [application data]."
  • “Develop a playbook for a recent high school graduate interested in a STEM program.”

Tips & gotchas

The quality of the generated playbook depends heavily on the input provided. Be as specific as possible with any initial information to receive more accurate and useful personas.