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ls-k-find-app

Find and analyze open-source LLM applications from a local JSON catalog.

Updated Aug 5, 2026
Search Tags:#rag#webfetch#architecture patterns#github analysis#reference implementation#dependency discovery#llm apps
One-click install
npx skills add https://github.com/ahostbr/liteharness --skill ls-k-find-app
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ls-k-find-app
Source: https://github.com/ahostbr/liteharness/tree/main/liteharness/catalog/skills/ls-k-find-app
Command: npx skills add https://github.com/ahostbr/liteharness --skill ls-k-find-app

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you discover a relevant open-source LLM application and quickly study real implementation patterns from its actual GitHub source code before you build something similar.

Core Features & Use Cases

  • Reference app discovery from a local catalog: Searches a catalog of 207 apps by keyword and metadata relevance (name, category, tech stack, and description).
  • Online source-code analysis: Fetches and summarizes the selected app’s README, entry-point source file(s), and requirements (when available) using web tools rather than local cloning.
  • Pattern-focused guidance: Produces an adaptation-oriented report emphasizing architecture, implementation details, dependencies, and how to apply the approach to your project.
  • Interactive selection workflow: Presents the top matches and lets you pick one or refine the query via an “Other” option.

Quick Start

Use the skill when you want a reference: Ask the assistant to “find an app like a multi-agent RAG system and analyze a similar implementation so I can copy the architecture patterns.”

Frequently Asked Questions about ls-k-find-app

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Can I analyze GitHub reference implementations without cloning the repository?▼

To analyze GitHub reference implementations without cloning, this skill fetches raw README and entry-point source code via WebFetch, falling back to WebSearch if needed, and summarizes the architecture and dependencies for adaptation.

Does this approach work for discovering dependency and tech stack patterns from existing LLM apps?▼

The best way to discover real RAG or agent implementations is querying the local catalog by tech stack and category, interactively selecting a top match, and generating an adaptation-oriented report with direct links to the source code.

When do I need to search a reference implementation catalog for LLM application development?▼

Yes, this approach works for discovering dependency and tech stack patterns by fetching requirements and source files online, extracting implementation details, and highlighting how to apply the discovered architecture to your specific project.

How do I get an adaptation-oriented report for a discovered LLM app?▼

You need to search a reference implementation catalog for LLM application development when you require a comparable GitHub example for an agent, RAG, collaboration, auth, or UI engineering problem before writing your own code.

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