LLM Application Development

by MoizIbnYousaf

LLM Application Development is an AI Engineering skill for Claude Code, published by MoizIbnYousaf in ai-agent-skills.

1.1K stars131 forkson MoizIbnYousaf/ai-agent-skillsAdded 2026/09/03Repository updated 2026/08/17

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Install in seconds

Install LLM Application Development

Copy LLM Application Development into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/MoizIbnYousaf/ai-agent-skills/tree/main/skills/llm-application-dev ~/.claude/skills/llm-application-dev

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/MoizIbnYousaf/ai-agent-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/llm-application-dev/SKILL.md in MoizIbnYousaf/ai-agent-skills
Installs to: ~/.claude/skills/llm-application-dev
Collection: One of 18 skills cataloged from this repository
Category: AI Engineering — 2793 skills

What LLM Application Development does

LLM Application Development covers prompt engineering, API integration, and RAG patterns for building AI-powered features. Use it for chatbots, LLM-based automation, and apps that generate or retrieve text.

LLM Application Development is cataloged under AI Engineering on DirSkills. LLM Application Development comes from a repository tagged agent-skills, ai-agents, claude-code, cli and codex.

Documentation

README

Excerpt

LLM Application Development

Prompt Engineering

Structured Prompts

const systemPrompt = `You are a helpful assistant that answers questions about our product.

RULES:
- Only answer questions about our product
- If you don't know, say "I don't know"
- Keep responses concise (under 100 words)
- Never make up information

CONTEXT:
{context}`;

const userPrompt = `Question: {question}`;

Few-Shot Examples

const prompt = `Classify the sentiment of customer feedback.

Examples:
Input: "Love this product!"
Output: positive

Input: "Worst purchase ever"
Output: negative

Input: "It works fine"
Output: neutral

Input: "${customerFeedback}"
Output:`;

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LLM Application Development

What else does MoizIbnYousaf publish alongside LLM Application Development?
LLM Application Development is one of 18 skills that DirSkills catalogs from MoizIbnYousaf/ai-agent-skills, the repository it ships in. Its siblings there include Add an Upstream Skill, Ask Questions If Underspecified and Audit Library Health. Each one is a separate skill with its own page in this directory, installs the same way LLM Application Development does, and is maintained by MoizIbnYousaf in that same repository. The rest of the collection is listed on the MoizIbnYousaf/ai-agent-skills page.
How does LLM Application Development compare to other AI Engineering skills?
LLM Application Development ranks #1245 by stars among the 2793 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LLM Application Development against them. Open each page to compare what they document and how they install.