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Generate Subsystem Skills

Checked
llama-farm·vlatest·agents·Apache-2.0

Automatically creates detailed skill descriptions for subsystem agents within a llama-farm orchestration framework.

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 llama-farm/llamafarm --skill generate-subsystem-skills -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

llama-farm

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 llama-farm/llamafarm at 6244d466e8.

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

Commit
6244d466e8
Manifest
.claude/skills/generate-subsystem-skills/SKILL.md
Scanned
2 files, 322 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, generate-subsystem-skills, allows AI agents to automatically generate skills for subsystems within a larger system. It's designed to break down complex tasks into smaller, more manageable components and create specific skills tailored to each subsystem’s needs. This promotes modularity and reusability in agent workflows.

When to use it

  • Complex Project Decomposition: When facing a large project that can be logically divided into subsystems (e.g., building a robot with perception, navigation, and manipulation).
  • Automated Skill Creation: To reduce manual effort in defining skills for each subsystem of an application or process.
  • Rapid Prototyping: When quickly iterating on system design by generating initial skill sets for subsystems.
  • System Expansion: When adding new subsystems to an existing agent-driven system and needing to generate corresponding skills.

Key capabilities

  • Subsystem Skill Generation: Creates skills based on subsystem descriptions.
  • Modular System Design: Facilitates the creation of modular, reusable components within a larger system.
  • Automated Workflow: Reduces manual skill definition effort.

Example prompts

  • "Generate skills for a 'data ingestion' subsystem that handles CSV file parsing and database insertion."
  • "Create skills for a 'user authentication' subsystem responsible for login, registration, and password management."
  • "What skills would be needed for a 'report generation' subsystem?"

Tips & gotchas

The quality of the generated skills depends heavily on the clarity and detail provided in the subsystem description. Be specific about the responsibilities and expected behavior of each subsystem to get the best results.