llm-app-development SKILL.md skillA

llm-app-development from travisjneuman/.claude is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add travisjneuman/.claude/llm-app-development@git:20260930.c8d311d

Pins git:20260930.c8d311d in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
travisjneuman/.claude
Path
skills/llm-app-development/SKILL.md
Versions recorded
4
Latest version
git:20260930.c8d311d, committed Sep 30, 2026
First version recorded
Feb 7, 2026
Size
20,327 bytes
Repository stars
105
License
MIT

LLM app development with RAG, prompt engineering, vector databases, and AI agents.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# LLM Application Development

## Overview

This skill covers the full spectrum of building applications powered by large language models. It addresses retrieval-augmented generation (RAG) pipelines, vector database integration, prompt engineering techniques, structured output generation, tool use and agentic patterns, evaluation frameworks, cost optimization, and streaming response handling.

Use this skill when building chatbots, AI assistants, knowledge retrieval systems, content generation tools, autonomous agents, or any application that integrates LLM capabilities into its core functionality.

---

## Core Principles

1. **Retrieval over memorization** - Use RAG to ground LLM responses in real data rather than relying on model parametric memory. This reduces hallucination and keeps answers current.
2. **Structured I/O boundaries** - Define strict schemas for both inputs (system prompts, context) and outputs (typed responses via function calling or Zod schemas). Never trust raw LLM text for downstream logic.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add travisjneuman/.claude/llm-app-development@sha256:3d1b8eba54336bb0

The line at the top of this page pins the label git:20260930.c8d311d, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_uh6nbtqoeek54tne.svg)](https://markdownregistry.com/a/art_uh6nbtqoeek54tne)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Feb 7, 2026 and Sep 30, 2026, about one every 78 days.

versioncommittedcommitsizeaudit
git:20260930.c8d311d latest2026-09-30 c8d311d 20,327 BA view · diff
git:20260305.79c96e32026-03-05 79c96e3 20,264 BA view · diff
git:20260228.62823bf2026-02-28 62823bf 20,255 BA view · diff
git:20260207.49cc3242026-02-07 49cc324 20,246 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (20327 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

travisjneuman/.claude · 105 stars · license MIT · pushed 2026-10-19 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_uh6nbtqoeek54tne
GET https://markdownregistry.com/api/v1/resolve?ref=travisjneuman/.claude/llm-app-development
GET https://markdownregistry.com/api/v1/blob/3d1b8eba54336bb0385755e6c9389317b9fa8be266075657297a2be11af06938

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in travisjneuman/.claude

Other files named llm-app-development

llm-app-development SKILL.md skill
iuliandita/skills · skills/llm-app-development/SKILL.md · Build LLM applications: RAG, embeddings, agents, structured outputs, evaluations, fine-tuning, and local inference.
git:20261003.496420b · audit A · 8 stars

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