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llama-farm·vlatest·backend·Apache-2.0

Automatically identifies and suggests relevant skills to enhance task completion within llama-farm agents.

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 go-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.

Scanned
6 files, 1,599 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 provides a collection of shared Go best practices specifically tailored for development within the LlamaFarm CLI environment. It offers guidelines to ensure idiomatic, maintainable, and secure Go code through documentation and examples covering error handling, concurrency, testing, and security considerations. The skill also illustrates common patterns used in the codebase, such as HTTP client interfaces, process management with mutexes, Cobra command structures, and Bubbletea model implementations.

When to use it

  • When developing new commands or features for the LlamaFarm CLI.
  • To ensure code adheres to established Go best practices within the LlamaFarm ecosystem.
  • For guidance on implementing secure coding techniques in LlamaFarm CLI projects.
  • As a reference for understanding common architectural patterns used in existing LlamaFarm CLI components.

Key capabilities

  • Error Handling Guidance: Provides advice on error wrapping with context and using sentinel errors.
  • Concurrency Patterns: Demonstrates the use of sync.Mutex, sync.RWMutex, and channels for goroutine communication.
  • Testing Best Practices: Covers table-driven tests, interface usage for mockability, and testing file naming conventions.
  • Security Recommendations: Includes guidelines on avoiding credential logging, input validation, and using context for cancellation.
  • Code Pattern Examples: Illustrates the implementation of HTTP client interfaces, process management with mutexes, Cobra commands, and Bubbletea models.

Example prompts

  • "Show me how to properly handle errors in LlamaFarm CLI code."
  • "What's the recommended way to manage concurrent processes within a LlamaFarm command?"
  • "Give me an example of a table-driven test for a LlamaFarm CLI function."
  • "How should I structure a new Cobra command in my LlamaFarm project?"

Tips & gotchas

  • This skill focuses on best practices within the context of the LlamaFarm CLI. It may not be universally applicable to all Go development.
  • The skill references specific frameworks like Cobra and Bubbletea; familiarity with these is helpful for understanding the examples.
  • Review the provided checklist files (patterns.md, concurrency.md, etc.) for detailed guidance on each topic.