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Marketing Demand Acquisition

Checked
davila7·vlatest·marketing·MIT

This skill identifies potential customers actively searching for your product/service, boosting marketing efforts and driving targeted demand acquisition.

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 davila7/claude-code-templates --skill marketing-demand-acquisition -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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/business-marketing/marketing-demand-acquisition/SKILL.md
Scanned
2 files, 1,052 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 marketing-demand-acquisition skill helps AI agents identify, analyze, and generate strategies to attract potential customers. It provides tools for market research, lead generation, and demand forecasting, enabling users to understand audience needs and optimize campaigns.

When to use it

  • To develop targeted marketing campaigns based on customer behavior data.
  • For identifying new market opportunities or expanding into untapped segments.
  • When analyzing competitor strategies to refine your own approach.
  • To forecast demand trends and adjust inventory or service offerings accordingly.

Key capabilities

  • Market research and audience segmentation
  • Lead generation and nurturing techniques
  • Demand forecasting using historical data
  • Competitor analysis for strategic positioning

Example prompts

  • "Analyze customer behavior patterns to identify new market segments."
  • "Generate a lead nurturing strategy based on user engagement metrics."
  • "Forecast demand trends for the next quarter using past sales data."

Tips & gotchas

  • Ensure you provide accurate historical or behavioral data for reliable forecasting.
  • Combine this skill with analytics tools for deeper insights and actionable strategies.