MR
Mayur Rathi
@sickn33
⭐ 0 GitHub stars

agent-creator

agent-creator is an data AI skill with a core value of Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills. It helps developers solve real-world problems in the data domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.

Last verified on: 2026-06-28
mkdir -p ./skills/agent-creator && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/agent-creator/SKILL.md -o ./skills/agent-creator/SKILL.md

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

Skill Content

Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.

🎯 Best For

  • Claude users
  • Data professionals
  • Analytics teams
  • Researchers

💡 Use Cases

  • Data pipeline auditing
  • Query optimization

📖 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 agent-creator to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

How do I install agent-creator?

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

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Ignoring data quality

AI analysis inherits all data quality issues — profile your data first.

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