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Llm App Development

Checked
travisjneuman·vlatest·ai-ml·MIT

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 travisjneuman/.claude --skill llm-app-development -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

travisjneuman

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 travisjneuman/.claude at 050878886e.

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

Commit
050878886e
Manifest
skills/llm-app-development/SKILL.md
Scanned
1 file, 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 enables the creation of applications powered by Large Language Models (LLMs). It facilitates building interactive experiences and tools leveraging LLM capabilities, allowing users to define workflows and integrate them into custom applications. The skill streamlines development by providing a framework for managing prompts, responses, and application logic.

When to use it

  • Automated Report Generation: Build an app that automatically generates reports based on data from various sources using an LLM’s summarization capabilities.
  • Custom Chatbot Development: Create specialized chatbots with unique functionalities beyond standard conversational AI.
  • Data Extraction and Transformation: Develop applications to extract structured information from unstructured text, then transform it into a usable format.
  • Workflow Automation: Automate complex tasks by chaining LLM calls together within an application workflow.

Key capabilities

  • LLM Application Development Framework
  • Prompt Management
  • Response Handling
  • Application Logic Integration
  • Workflow Definition

Example prompts

  • "Create a simple app that summarizes news articles."
  • "Build a chatbot to answer questions about our company's products."
  • "Develop an application to extract key data points from customer reviews."

Tips & gotchas

This skill requires some familiarity with LLMs and basic programming concepts. The complexity of the application will depend on the specific requirements and integration needs.