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Automation Brainstorm

Checked
macroman5·vlatest·productivity·MIT

Generate creative automation ideas for repetitive tasks, workflows, and processes to boost 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 macroman5/automationhelper_plugins --skill automation-brainstorm -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

macroman5

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 macroman5/automationhelper_plugins at e49b015220.

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

Commit
e49b015220
Manifest
.claude/skills/automation-brainstorm/SKILL.md
Scanned
1 file, 614 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 automation-brainstorm skill generates creative ideas for automating tasks. It can suggest potential workflows, identify tools suitable for automation, and outline steps to implement those automations. The goal is to help users move beyond simple task lists and envision more sophisticated automated solutions.

When to use it

  • You have a repetitive task you want to automate but aren't sure where to start.
  • You’re looking for alternative tools or approaches to existing automation workflows.
  • You need help breaking down a complex process into smaller, automatable steps.
  • You want to explore the feasibility of automating a specific business function.

Key capabilities

  • Workflow suggestion
  • Tool identification
  • Step outlining

Example prompts

  • "I need to automate sending weekly reports. What are some possible approaches?"
  • "What tools could I use to automate data entry from spreadsheets into our CRM?"
  • "Can you outline the steps for automating invoice processing?"

Tips & gotchas

The skill works best with clear descriptions of the tasks or processes needing automation. Providing context about existing systems and desired outcomes will improve the quality of suggestions.