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LLM engineering: prompts, outputs and evaluation v1.0.0

Use this resource to make an LLM-based feature reliable in production

New

  • 381 downloads
  • 114 likes
  • 172 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-feature-reliability-guide

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 the pipeline around the model: input validation, context assembly, output validation and failure handling. You get a prompt structure, prompt patterns and evaluation methods, with cost and latency choices.

Mostly picked by

Updated November 2, 2026

Card for the “LLM engineering: prompts, outputs and evaluation” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: design principles, prompts and structured output
  • references/PROMPT_PATTERNS.md: prompt patterns
  • references/EVALUATION.md: evaluation methods

Good fit for

  • A feature calls a model and must return usable JSON
  • Your token costs or model errors grow in production

Not for

    Tags

    • llm
    • prompts
    • evaluation
    • structured output

    About

    You say

    “Help me make LLM invoice extraction reliable with validated JSON output.”

    Card for the “LLM engineering: prompts, outputs and evaluation” skill

    Skill published by personamanagmentlayer under the Apache-2.0 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 make an LLM-based feature reliable in production
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE10.9 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/EVALUATION.md6.5 KB
    • references/PROMPT_PATTERNS.md6.9 KB
    • SKILL.md10.8 KB

    Origin and licence

    Listed unmodified

    Author
    personamanagmentlayer
    Source
    github.com/personamanagmentlayer/pcl/tree/79ccaa9820486121fa33aaa696ec16fa1607bf02/stdlib/ai/llm-engineering-expert
    Licence
    Apache-2.0

    Notice

    « llm-engineering-expert » (personamanagmentlayer, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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