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Cold Email

Checked
coreyhaines31·vlatest·marketing·MIT

Craft personalized, high-converting cold emails targeting specific prospects based on provided data and desired outcomes.

Repository

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 coreyhaines31/marketingskills --skill cold-email -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

coreyhaines31

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 coreyhaines31/marketingskills at dda3841f0b.

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

Commit
dda3841f0b
Manifest
skills/cold-email/SKILL.md
Scanned
7 files, 666 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

The cold-email skill enables AI agents to craft personalized and persuasive email messages designed to engage potential clients or leads without prior interaction. It leverages data-driven insights to tailor subject lines, body content, and call-to-action elements for maximum effectiveness.

When to use it

  • Writing outreach emails to prospects for a new product launch
  • Generating follow-up messages after a conference or networking event
  • Creating targeted email campaigns for lead generation in B2B marketing

Key capabilities

  • Personalization based on recipient data
  • Optimization of subject lines and content for higher open rates
  • Integration with CRM tools for seamless outreach

Example prompts

  • "Write a cold email to a potential client in the tech industry promoting our SaaS product."
  • "Generate a follow-up email for a lead who didn’t respond to my initial message."
  • "Create a subject line and body for an email targeting small business owners interested in digital marketing tools."

Tips & gotchas

  • Ensure you have access to recipient data for personalization.
  • Avoid overusing automation; maintain a balance between efficiency and genuine engagement.