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SKILL verified MIT Self-run

Growth Experiment Designer

skill-pratikshadake-claude-solo-founder-skills-growth-experiment-designer · by pratikshadake

Designs structured growth experiments to improve key product metrics. Use when you want to increase signups, retention, conversion, or any measurable metric and need a hypothesis-driven experiment with clear success criteria and decision rules.

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Install

$ agentstack add skill-pratikshadake-claude-solo-founder-skills-growth-experiment-designer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
7mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Skill: Growth Experiment

Steps

  1. Define metric to improve.
  2. Form hypothesis.
  3. Design smallest experiment.
  4. Set success threshold.
  5. Decide next action rule.

Output

Experiment card with metric, hypothesis, test, decision.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.