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Six AI engineering workflows in one skill v1.0.0

Use this resource to evaluate a prompt, size a context budget or design a RAG pipeline

New

  • 301 downloads
  • 227 likes
  • 116 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ai-engineering-workflows-toolkit

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 picks one of six methods based on your need: scoring a prompt on eight dimensions, planning a context budget, designing a RAG pipeline, auditing an agent against a 65-point checklist, building an eval harness or coaching on product sense. You get a structured analysis, with examples.

Mostly picked by

Updated November 2, 2026

Card for the “Six AI engineering workflows in one skill” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: the six methods and when each one applies
  • SKILL.md: availability scope and sample outputs

Good fit for

  • You want to score your prompts before shipping them
  • You are designing an agent that reads documents and need to check its security

Not for

    Tags

    • prompts
    • rag
    • evaluation
    • agents
    • ai security

    About

    You say

    “Score this extraction prompt on eight dimensions and suggest three ranked improvements.”

    Card for the “Six AI engineering workflows in one skill” skill

    Skill published by viliawang-pm 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 evaluate a prompt, size a context budget or design a RAG pipeline
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md8.1 KB

    Origin and licence

    Listed unmodified

    Author
    viliawang-pm
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/ai-engineering-toolkit
    Licence
    MIT

    Notice

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

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