MR
Mayur Rathi
@sickn33
⭐ 39.1k GitHub stars

ai-engineering-toolkit

ai-engineering-toolkit是一款code方向的AI技能,核心价值是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, an,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。

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, an

Last verified on: 2026-05-30
mkdir -p ./skills/ai-engineering-toolkit && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/ai-engineering-toolkit/SKILL.md -o ./skills/ai-engineering-toolkit/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

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, an

🎯 Best For

  • Security auditors
  • DevSecOps teams
  • Compliance officers
  • UI designers
  • Product designers

💡 Use Cases

  • Auditing dependencies for known CVEs
  • Scanning API endpoints for auth gaps
  • Generating component mockups
  • Creating design system tokens

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply ai-engineering-toolkit to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Can this replace a dedicated SAST tool?

AI-based security review is complementary to SAST tools. Use it as a first-pass filter, not a replacement.

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

Is ai-engineering-toolkit compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for ai-engineering-toolkit?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install ai-engineering-toolkit?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/ai-engineering-toolkit/SKILL.md, ready to use.

⚠️ Common Mistakes to Avoid

Only scanning surface-level issues

Deep security review requires understanding your app architecture, not just regex patterns.

Skipping usability testing

AI-generated designs should be validated with real users before development.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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