experimentation-growth-engineering
v0.3.4Experimentation & growth-engineering team — agents (experimentation-architect, feature-flag-engineer, product-analytics-instrumentation-engineer) for the APPARATUS that lets a team learn fast and ship safely: feature flags + progressive delivery (kill switches, targeting, flag lifecycle/debt), A/B-test plumbing (assignment, exposure logging, SRM checks, sequential-peeking guards, the results read), and trustworthy event instrumentation (a tracking plan, a consistent event schema, identity stitching, a CDP). The engineering of experimentation — statistical VALIDITY (power/MDE, significance) is applied-statistics'. skills, a decision-tree knowledge bank (flag-vs-config + ship-decision trees + a dated 2026 map), best-practices, templates, commands, an advisory hook. Seams: significance -> applied-statistics, hypothesis/outcome -> product-management, rollout -> devops-cicd, pipelines -> data-platform. Requires ravenclaude-core@>=0.7.0.
By Matt CorbettLicense: MIT7 GitHub starsUpdated last week
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 5 skill or MCP entries
- Source updated
- Sep 15, 2026
- Manifest status
- Canonical path parsed
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Install experimentation-growth-engineering for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install experimentation-growth-engineering@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/mcorbett51090/RavenClaudeClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/experimentation-growth-engineering/.
Plugin files
├── .claude-plugin/plugin.json├── skills/ab-test-plumbing/SKILL.md├── skills/event-instrumentation/SKILL.md├── skills/feature-flags/SKILL.md├── skills/srm-detection/SKILL.md└── skills/tracking-plan-design/SKILL.md
Included Skills5
Build trustworthy A/B-test plumbing: deterministic sticky assignment, exposure logging (who actually saw the variant), Sample-Ratio-Mismatch checks before reading results, pre-registered metric/MDE/duration, and guardrail metrics — leaving significance to applied-statistics.
Instrument trustworthy product analytics: a tracking plan first, a consistent typed event/property schema (object_action naming, versioned), identity stitching (anonymous -> known), CDP routing (instrument once), and event-quality validation as code.
Use feature flags safely: match the flag type to its purpose (release/experiment/ops/permission), give every risky change a kill switch, roll out progressively gated by a health signal, evaluate deterministically and fail-safe, and manage the flag lifecycle to prevent debt.
Procedure for detecting and diagnosing Sample-Ratio Mismatch in A/B experiments — covers the chi-squared test, common causes by layer, and the decision rule for whether to trust or discard a result.
Step-by-step guide for designing a product analytics tracking plan — event taxonomy, property schema conventions, identity stitching strategy, and the governance process to keep the plan as the source of truth.
Plugin manifests1
{
"name": "experimentation-growth-engineering",
"version": "0.3.4",
"description": "Experimentation & growth-engineering team — agents (experimentation-architect, feature-flag-engineer, product-analytics-instrumentation-engineer) for the APPARATUS that lets a team learn fast and ship safely: feature flags + progressive delivery (kill switches, targeting, flag lifecycle/debt), A/B-test plumbing (assignment, exposure logging, SRM checks, sequential-peeking guards, the results read), and trustworthy event instrumentation (a tracking plan, a consistent event schema, identity stitching, a CDP). The engineering of experimentation — statistical VALIDITY (power/MDE, significance) is applied-statistics'. skills, a decision-tree knowledge bank (flag-vs-config + ship-decision trees + a dated 2026 map), best-practices, templates, commands, an advisory hook. Seams: significance -> applied-statistics, hypothesis/outcome -> product-management, rollout -> devops-cicd, pipelines -> data-platform. Requires ravenclaude-core@>=0.7.0.",
"author": {
"name": "Matt Corbett"
},
"homepage": "https://github.com/mcorbett51090/RavenClaude",
"license": "MIT",
"keywords": [
"experimentation",
"ab-testing",
"feature-flags",
"progressive-delivery",
"split-testing",
"growth",
"product-analytics",
"event-tracking",
"tracking-plan",
"cdp",
"srm",
"kill-switch",
"amplitude",
"launchdarkly"
],
"requires": {
"plugins": [
"ravenclaude-core@>=0.7.0"
]
}
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[experimentation-growth-engineering on Agent Plugins Marketplace](https://pluginsmp.com/plugins/experimentation-growth-engineering)