MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

Startup Metrics Framework

Startup Metrics Framework is an data AI skill with a core value of |. It helps developers solve real-world problems in the data domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

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Last verified on: 2026-07-07

Quick Facts

Category data
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-07
Risk Level Low
mkdir -p ./skills/startup-metrics-framework && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/startup-metrics-framework/SKILL.md -o ./skills/startup-metrics-framework/SKILL.md

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

Skill Content

# Startup Metrics Framework


Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.


Use this skill when


- Working on startup metrics framework tasks or workflows

- Needing guidance, best practices, or checklists for startup metrics framework


Do not use this skill when


- The task is unrelated to startup metrics framework

- You need a different domain or tool outside this scope


Instructions


- Clarify goals, constraints, and required inputs.

- Apply relevant best practices and validate outcomes.

- Provide actionable steps and verification.

- If detailed examples are required, open `resources/implementation-playbook.md`.


Resources


- `resources/implementation-playbook.md` for detailed patterns and examples.

🎯 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 Startup Metrics Framework 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 Startup Metrics Framework?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/startup-metrics-framework/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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