experimentation-platform-orchestrator
SkillA platform decision framework for experimentation. When to use Statsig vs PostHog vs GrowthBook vs Optimizely vs Amplitude vs Eppo vs Kameleoon. How to migrate between them. How to coordinate when multi-platform is genuinely warranted. The decisions that compound for years and the ones you can defer
Install
git clone https://github.com/rampstackco/claude-skills.git ~/.claude/skills/experimentation-platform-orchestratorWhat is experimentation-platform-orchestrator?
A platform decision framework for experimentation. When to use Statsig vs PostHog vs GrowthBook vs Optimizely vs Amplitude vs Eppo vs Kameleoon. How to migrate between them. How to coordinate when multi-platform is genuinely warranted. The decisions that compound for years and the ones you can defer. Triggers on which experimentation platform, choose Statsig vs PostHog, evaluate experimentation tools, switch experimentation platform, migrate from Optimizely, consolidate experimentation tools, multi-platform experimentation, experimentation platform decision, ab test platform selection, feature flag platform vs experiment platform, warehouse-native experiments, vendor lock-in experimentation. Also triggers when a team is asking about cost, governance, or migration cost across experimentation tools, or when an evaluation is starting.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~211 tokens of context used while enabled, before you invoke anything
Documentation
README · ~16 min readExperimentation Platform Orchestrator
A senior product and engineering leader's playbook for making the experimentation platform decision and recovering from making it wrong.
Picking an experimentation platform is one of those decisions that looks easy at the start and compounds for years afterward. The wrong choice costs you in lost experiments (because the team avoids the painful workflow), in cost (because the wrong pricing model penalizes your usage shape), in vendor lock-in (because migration is real engineering work, not a config change), and in cultural drift (because the platform's defaults shape what your team thinks experimentation is).
This skill is the discipline that makes the decision well the first time and the migration plan when you didn't.
When to use this skill: choosing a platform from scratch, evaluating whether to switch, deciding whether to consolidate from multi-platform to single, or planning a migration that has already been approved.
What this skill is for
This skill spans platform selection, multi-platform decisions, migration planning, and governance setup. It does not cover experiment design (use experiment-design), result interpretation (use experimentation-analytics), or feature flag operations (use feature-flagging). Pair this skill with the relevant integrations microsite when you need platform-specific MCP details.
The audience is a PM, engineering leader, or data lead who is making the decision or recovering from a previous one. The voice is decisive. There is no "it depends, evaluate them all yourself." The decision space has real shape, and a senior advisor can map your situation to a defensible answer in an afternoon.
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