rtp-optimizer

Installation
SKILL.md

RTP Optimizer

Use this skill to move a game from rough math to quantifiably validated RTP.

Workflow

  1. Define targets and guardrails first.
  • Capture RTP target by mode, tolerance band, max win cap, volatility expectations, and feature frequency limits.
  • Mark any missing constraint as an explicit assumption.
  1. Identify controllable tuning levers.
  • Prioritize levers with predictable RTP effect: symbol payouts, reel strips, feature trigger weights, bonus multipliers, and retrigger caps.
  • Avoid changing multiple high-impact levers at once unless required.
  1. Run iterative simulation with convergence checks.
  • Use short runs for direction (>=1M spins), then long runs for sign-off (>=20M spins).
  • Track seeds, config hash/version, and lever deltas per run.
  • Reject sign-off if mean RTP is outside tolerance or confidence interval crosses tolerance boundaries.
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Installs
4
GitHub Stars
4
First Seen
Mar 10, 2026