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Generate_Ai_Workflow

Checked
jaraxuss·vlatest·writing

Helps with code generation, AI as part of agent workflows workflows.

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 jaraxuss/skills --skill generate_ai_workflow -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

jaraxuss

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 jaraxuss/skills at f170089b15.

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

Commit
f170089b15
Manifest
skills/generate_ai_workflow/SKILL.md
Scanned
9 files, 1,855 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 allows you to define and execute sequences of AI agent actions, creating automated workflows. It enables chaining together multiple steps, such as research, writing, code generation, and summarization, into a single process. The workflow can be triggered by a user prompt or run automatically based on predefined schedules.

When to use it

  • Automated Content Creation: Generate blog posts or articles by combining research, outlining, drafting, and editing steps.
  • Code Generation Pipelines: Automate the creation of software components by chaining together code generation, testing, and documentation tasks.
  • Data Analysis Workflows: Process datasets through a series of analysis and visualization steps without manual intervention.
  • Complex Research Tasks: Break down large research projects into manageable AI agent actions for more efficient completion.

Key capabilities

  • Workflow definition using sequential action chains
  • Automated execution of defined workflows
  • Integration with other AI agent skills
  • Triggering workflows based on user prompts or schedules

Example prompts

  • "Create a workflow to research 'sustainable energy' and write a 500-word blog post."
  • "Generate a Python script for web scraping, then run it and save the results to a file."
  • "Automate daily report generation from our sales data."

Tips & gotchas

The skill’s effectiveness depends on having well-defined and reliable individual AI agent skills to chain together. Complex workflows may require careful testing and debugging to ensure correct execution.