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Llm Application Dev

Checked
moodmnky-llc·vlatest·ai-ml

Provides LLMs guidance and assistance for building AI and machine learning applications.

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 moodmnky-llc/mood-mnky-command --skill llm-application-dev -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

moodmnky-llc

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 moodmnky-llc/mood-mnky-command at 35d8ce76db.

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

Commit
35d8ce76db
Manifest
.cursor/skills/llm-application-dev/SKILL.md
Scanned
2 files, 203 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, llm-application-dev, enables the development of applications leveraging Large Language Models (LLMs). It facilitates building custom AI agents and workflows by providing tools for interaction with LLMs. The skill allows users to define prompts, manage context, and integrate LLM responses into larger application logic.

When to use it

  • Automating repetitive tasks: Use this skill to automate content generation or data extraction from documents using an LLM.
  • Building conversational agents: Develop chatbots or virtual assistants that can understand user input and respond intelligently.
  • Creating custom AI workflows: Integrate LLMs into existing applications for features like summarization, translation, or code generation.
  • Prototyping new AI-powered solutions: Quickly test and iterate on ideas involving LLMs without extensive coding.

Key capabilities

  • LLM interaction
  • Prompt management
  • Context handling
  • Workflow integration

Example prompts

  • "Create a Python script to summarize this article: [article URL]"
  • "Translate the following text into French: [text]"
  • "Generate five marketing slogans for a new coffee shop."

Tips & gotchas

The skill requires familiarity with LLMs and prompt engineering techniques. Effective use depends on crafting clear and specific prompts to achieve desired results.