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LLM application and agent engineering v1.0.0

Use this resource to design production LLM applications, RAG systems and agents

New

  • 397 downloads
  • 175 likes
  • 104 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-application-engineering

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent designs model integration, vector search and agent orchestration, then frames security, monitoring and cost. It flags missing prerequisites before any deployment. It is not suited to data analysis without an LLM.

Mostly picked by

Updated November 2, 2026

Card for the “LLM application and agent engineering” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: use frame, security and capabilities
  • SKILL.md: LLM integration, RAG, orchestration and vector search

Good fit for

  • You add a generative AI feature to a product
  • You build a RAG over a knowledge base

Not for

    Tags

    • llm
    • rag
    • agents
    • ai

    About

    You say

    “Design the RAG architecture for our document base, with per-query cost control.”

    Card for the “LLM application and agent engineering” skill

    Skill published by sickn33 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to design production LLM applications, RAG systems and agents
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md10.2 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/ai-engineer
    Licence
    MIT

    Notice

    « ai-engineer » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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