ai-engineering-toolkit
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
Profile →npx skills add sickn33/agentic-awesome-skills --skill ai-engineering-toolkit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
> **⚠️ AUTHORIZED USE ONLY** > This skill is for educational purposes or authorized security assessments only. > You must have explicit, written permission from the system owner before using this tool. > Misuse of this tool is illegal and strictly prohibited. > **Mandatory confirmation gate** > Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target: > 1. Ask the user to state the exact target URL, IP, account, or resource. > 2. Ask the user to confirm written authorization and the permitted scope. > 3. Show the exact command(s) and explain their expected effect. > 4. Wait for explicit confirmation in the current conversation. > > Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab. # AI Engineering Toolkit ## Overview A collection of 6 structured, expert-level workflows that turn your AI coding assistant into a senior AI engineering partner. Each skill encodes a repeatable methodology — not just "ask AI to help," but a step-by-step decision framework with quantitative scoring, checklists, and decision trees. The key diff
- Overview
- When to Use This Skill
- How It Works
- Skill 1: Prompt Evaluator
- Skill 2: Context Budget Planner
- Skill 3: RAG Pipeline Architect
- Skill 4: Agent Safety Guard
- Skill 5: Eval Harness Builder
- Skill 6: Product Sense Coach
- Examples
- Example 1: Prompt Evaluation
- Example 2: Security Audit
- Best Practices
- Security & Safety Notes
Via skill install command (Claude Code / WorkBuddy / Cursor) Manual git clone https://github.com/viliawang-pm/ai-engineering-toolkit.git cp -r ai-engineering-toolkit/skills/* ~/.claude/skills/
What does the ai-engineering-toolkit skill do?
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill ai-engineering-toolkit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.