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Segment Automation

Checked
davepoon·vlatest·other·MIT

Automates repetitive data segmentation tasks using custom rules and machine learning models for improved efficiency.

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 davepoon/buildwithclaude --skill segment-automation -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

davepoon

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 davepoon/buildwithclaude at fc03a95b41.

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

Commit
fc03a95b41
Manifest
plugins/all-skills/skills/segment-automation/SKILL.md
Scanned
1 file, 228 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 automates repetitive tasks within a segmented workflow. It can execute predefined sequences of actions, reducing manual effort and improving efficiency in processes involving distinct stages or segments. The agent can handle data transitions between these segments and trigger subsequent steps based on conditions met within each segment.

When to use it

  • Automating customer onboarding: Moving leads through qualification, demo scheduling, and initial setup.
  • Streamlining content creation: Managing the flow from idea generation, drafting, editing, and publishing across different platforms.
  • Managing sales pipelines: Progressing opportunities through stages like lead capture, qualification, proposal, negotiation, and close.
  • Automating data processing: Handling tasks involving multiple steps such as cleaning, transforming, and loading data into a database.

Key capabilities

  • Segmented workflow execution
  • Data transition management between segments
  • Conditional triggering of subsequent actions
  • Predefined action sequences

Example prompts

  • "Run the 'New Customer Onboarding' segment."
  • "Execute the next step in the 'Content Creation' workflow after editing is complete."
  • “Move this opportunity to the ‘Proposal’ stage.”

Tips & gotchas

The skill requires a clearly defined and structured segmented workflow for optimal performance. Ensure that each segment has well-defined entry criteria, actions, and exit conditions.