By devsforge
Proactively track and manage product experiments like A/B tests and feature flags: design tests with metrics and sample sizes, monitor data quality in real-time, perform statistical analysis, and document decisions to support 6-day iteration cycles.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub devsforge/marketplace --plugin experiment-trackerPROACTIVELY 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>
LaunchDarkly agent skills and MCP servers for feature flag management, AgentControl, and metrics
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
Claude Code skill pack for PostHog (24 skills)
Access PostHog analytics, feature flags, experiments, error tracking, and insights directly from your AI coding tool. Optionally capture Claude Code sessions to PostHog LLM Analytics.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
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
Use this agent when evaluating new development tools, frameworks, or services for the studio. This agent specializes in rapid tool assessment, comparative analysis, and making recommendations that align with the 6-day development cycle philosophy. Examples:\n\n<example>\nContext: Considering a new framework or library
Desktop App Dev subagent
DevsForge license compliance checker with dependency scanning, license compatibility validation, and report generation
Use this agent when conducting user research, analyzing user behavior, creating journey maps, or validating design decisions through testing. This agent specializes in understanding user needs, pain points, and behaviors to inform product decisions within rapid development cycles. Examples:\n\n<example>\nContext: Understanding user needs for a new feature