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Llm App Patterns

Checked
davila7·vlatest·ai-ml·MIT

Helps with LLMs, patterns as part of building AI and machine learning applications 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 davila7/claude-code-templates --skill llm-app-patterns -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

davila7

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.

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/llm-app-patterns/SKILL.md
Scanned
1 file, 723 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.
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About this skill

The llm-app-patterns skill provides pre-configured templates for building applications using Large Language Models, specifically optimized for use with tools like Claude Code. It streamlines the development workflow by offering ready-made structures for common AI agent architectures and interaction patterns.

When to use it

  • You need a starting point for scaffolding a new LLM-based application without writing boilerplate code from scratch.
  • You are experimenting with different agent interaction models, such as multi-turn conversations or tool-use loops.
  • You want to standardize your development environment across multiple AI agent projects using consistent patterns.
  • You are looking to accelerate prototyping by leveraging established architectural designs for AI software.

Key capabilities

  • Provides a collection of reusable code templates specifically designed for LLM application development.
  • Optimized for integration with Claude Code and similar AI coding assistants.
  • Covers various design patterns common in the field of artificial intelligence and machine learning applications.
  • Reduces setup time by offering immediate, functional starting points for complex logic.

Example prompts

  • "Generate a new project structure using the llm-app-patterns template for a customer support bot."
  • "Apply the multi-agent collaboration pattern from the templates to solve this data processing task."
  • "Create a basic chat interface scaffold based on the available LLM application patterns."

Tips & gotchas

Ensure you have an active environment compatible with Claude Code or similar agents before attempting to install these templates. While these patterns accelerate development, review the generated code thoroughly to ensure it meets your specific security and logic requirements before deployment.