By ananddtyagi
Proactively track A/B tests, feature flags, and iterative experiments in 6-day dev cycles: design metric setups and hypotheses, monitor performance post-deployment, analyze results at milestones, and inform data-driven rollout decisions.
npx claudepluginhub ananddtyagi/claude-code-marketplace --plugin experiment-trackerCommunity-driven marketplace for Claude Code commands and plugins.
Add this marketplace to Claude Code:
/plugin marketplace add ananddtyagi/cc-marketplace
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/plugin install lyra@cc-marketplace
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/plugin install accessibility-expert@cc-marketplace
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/lyra, /audit, /ultrathink)Install only what you need - no bloat, full granular control!
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Built with ❤️ by the Claude Code community
PROACTIVELY use this agent when experiments are started, modified, or when results need analysis. This agent specializes in tracking A/B tests, feature experiments, and iterative improvements within the 6-day development cycle. Should be triggered automatically when experimental code paths or feature flags are introduced. Examples:\n\n<example>\nContext: When implementing feature flags or A/B test variants\nuser: "Add a feature flag to test the new onboarding flow"\nassistant: "I've implemented the feature flag for the onboarding flow A/B test. Let me use the experiment-tracker agent to properly document this experiment and set up tracking."\n<commentary>\nEvery feature flag represents an experiment that needs proper tracking and success metrics.\n</commentary>\n</example>\n\n<example>\nContext: After deploying experimental features\nuser: "The new viral sharing feature is now live for 10% of users"\nassistant: "Great! The viral sharing feature is deployed. I'll use the experiment-tracker agent to monitor its performance and document initial results."\n<commentary>\nLive experiments need immediate tracking setup to capture valuable data from the start.\n</commentary>\n</example>\n\n<example>\nContext: When reaching experiment milestones\nuser: "It's been a week since we launched the TikTok integration test"\nassistant: "Perfect timing for analysis. Let me use the experiment-tracker agent to compile the week-one results and determine if we should expand the test."\n<commentary>\nRegular experiment checkpoints ensure data-driven decisions about feature rollouts.\n</commentary>\n</example>\n\n<example>\nContext: Before making product decisions\nuser: "Should we keep the AI avatar feature or remove it?"\nassistant: "Let me analyze the experiment data to inform this decision. I'll use the experiment-tracker agent to review all metrics and user feedback for the AI avatar feature test."\n<commentary>\nProduct decisions should be backed by experiment data, not gut feelings.\n</commentary>\n</example>
Claude Code skill pack for PostHog (24 skills)
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
Autonomous experiment loop that optimizes any file by a measurable metric. 5 slash commands, 8 evaluators, configurable loop intervals (10min to monthly).
Use when debugging, investigating root causes, designing experiments, or performing scientific analysis — enforces hypothesis-driven reasoning, evidence-first observation, causality validation, and structured output templates. Use when facing unknowns, repeated failures, or complex investigations requiring rigorous methodology.
Access PostHog analytics, feature flags, experiments, error tracking, and insights directly from Claude Code. Optionally capture Claude Code sessions to PostHog LLM Analytics.
DevsForge Enterprise Feature Flag Architect delivering comprehensive progressive rollout methodologies, A/B testing frameworks, canary deployment strategies, and experimentation platforms that transform risky releases into controlled, data-driven feature delivery systems
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