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Workflow Multi Cli Plan

Checked
catlog22·vlatest·backend·MIT

Generates detailed CLI command sequences to automate complex workflows across multiple tools and systems.

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 catlog22/claude-code-workflow --skill workflow-multi-cli-plan -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

catlog22

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 catlog22/claude-code-workflow at 07491b04ac.

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

Commit
07491b04ac
Manifest
.claude/skills/workflow-multi-cli-plan/SKILL.md
Scanned
1 file, 395 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 orchestrates multi-step workflows by dynamically planning and executing sequences of shell commands across different CLI tools. It enables AI agents to coordinate complex tasks that require chaining multiple utilities together in a structured manner.

When to use it

  • Automating repetitive system administration tasks involving multiple services.
  • Running data pipelines that depend on sequential processing steps.
  • Executing deployment scripts that require coordination between build and verification tools.
  • Managing infrastructure changes where one command's output triggers the next step.

Key capabilities

  • Dynamic workflow planning for multi-command sequences.
  • Cross-tool CLI orchestration.
  • Sequential execution logic with dependency handling.
  • Shell script generation and management.

Example prompts

  • "Create a workflow to backup my database, compress the file, and move it to the archive directory."
  • "Plan a sequence of commands to update dependencies, run tests, and deploy my application."
  • "Orchestrate a multi-step process to clean up old logs, rotate disk space, and notify the admin team."

Tips & gotchas

Ensure your AI agent has appropriate shell access and permissions before executing generated command sequences. Always review planned workflows in a safe environment before running them on production systems to prevent unintended side effects from chained commands.