Six production-grade workflows that encode repeatable AI engineering methodologies with quantitative scoring. The prompt evaluator uses 8-dimension scoring (0-100 scale) with auto-rewrites for weak spots. Context budget planner catches output zone squeeze before truncation hits. RAG architect walks the full decision tree from chunking to retrieval patterns. Agent safety guard runs 65-point red-team audits across injection, extraction, and tool abuse vectors (requires sandboxing, marked offensive risk). Eval harness builder ships CI-ready metric systems. Product sense coach structures pre-code strategic thinking. This is for teams that want baseline scoring systems and security checklists baked into workflows, not ad-hoc prompting.

skills.sh installs
129
GitHub stars
39.4K
last updated
Jun 3, 2026

Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill ai-engineering-toolkit --agent claude-code

Installs into .claude/skills of the current project.

Files

⚠️ 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.

Sponsors

Details

Repository
github.com/sickn33/antigravity-awesome-skills
Category
AI & Agent Building
First seen
Jun 3, 2026

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