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AI Engineering Toolkit

Overview of six AI engineering workflows for prompts, context budgets, RAG, security audits, evals, and product sense

Source Download skill
Repository
sickn33/agentic-awesome-skills
Stars
49,023
Licence
MIT
Files
1 file

What it does

This skill gives an AI coding assistant a set of structured, step-by-step methods for building AI-powered products. It can score a system prompt across eight dimensions, plan how a model's context window is divided, design a retrieval-augmented generation (RAG) pipeline, outline evaluation harnesses, and coach product thinking. One of its workflows, an agent safety audit, generates adversarial test prompts against an AI agent, so it is classified as offensive and requires explicit authorization.

Great for

  • Developers writing system prompts who want a consistent quality checklist before launch
  • Teams designing RAG pipelines or setting up LLM evaluation baselines
  • Product builders who want structured questions before writing code

Skip it if

  • Anyone expecting a real security audit or measured test results from this file alone, since the 65-test suite, rubrics and CI templates are not included and scores shown are illustrative
  • Targets you do not own or lack written permission to test, because the safety workflow generates attack payloads and misuse is prohibited

Try asking

  • “Evaluate this system prompt and tell me its weakest dimensions”
  • “Plan token budget allocation for my chatbot's context window”
  • “Design a RAG pipeline architecture for my internal documents”
  • “Help me build an LLM-as-judge evaluation harness for my app”
Step-by-step guide: how to use AI Engineering ToolkitInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    ai-engineering-toolkit.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip ai-engineering-toolkit.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip ai-engineering-toolkit.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Calibrate scoring rubrics with your team and record versions before comparing results over time
  • Only request a security audit against systems you own or have written authorization to test, and run it in a sandbox or VM
  • Treat the example scores as illustrations and rely on your own recorded evaluation runs

What's inside

  • SKILL.md

Redistributed unmodified from sickn33/agentic-awesome-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.