By ananddtyagi
Track A/B tests and feature experiments across their lifecycle: proactively design setups with hypotheses and metrics when experiments start or change, monitor live performance, analyze results at milestones, and inform data-driven product decisions within 6-day development cycles.
Community-driven marketplace for Claude Code commands and plugins.
Add this marketplace to Claude Code:
/plugin marketplace add ananddtyagi/cc-marketplace
Then browse and install individual plugins (commands or agents):
/plugin
Install a specific command:
/plugin install lyra@cc-marketplace
Install a specific agent:
/plugin install accessibility-expert@cc-marketplace
Visit claudecodecommands.directory to:
Each plugin in this marketplace is independently installable:
/lyra, /audit, /ultrathink)Install only what you need - no bloat, full granular control!
This marketplace is automatically synced from the live database whenever commands are published or updated.
Individual commands may have their own licenses. See each command file for details.
Submit commands at claudecodecommands.directory/submit Submit agents at claudecodecommands.directory/submit-agent
Built with ❤️ by the Claude Code community
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub ananddtyagi/claude-code-marketplace --plugin experiment-trackerValidate and synchronize API contracts (OpenAPI, GraphQL) with implementation, detect breaking changes, and generate client code
Use this agent when analyzing metrics, generating insights from data, creating performance reports, or making data-driven recommendations. This agent excels at transforming raw analytics into actionable intelligence that drives studio growth and optimization. Examples:\n\n<example>\nContext: Monthly performance review needed
Use this agent when setting up CI/CD pipelines, configuring Docker containers, deploying applications to cloud platforms, setting up Kubernetes clusters, implementing infrastructure as code, or automating deployment workflows. Examples: <example>Context: User is setting up a new project and needs deployment automation. user: "I've built a FastAPI application and need to deploy it to production with proper CI/CD" assistant: "I'll use the deployment-engineer agent to set up a complete deployment pipeline with Docker, GitHub Actions, and production-ready configurations."</example> <example>Context: User mentions containerization or deployment issues. user: "Our deployment process is manual and error-prone. We need to automate it." assistant: "Let me use the deployment-engineer agent to design an automated CI/CD pipeline that eliminates manual steps and ensures reliable deployments."</example>
Use this agent when developing native iOS or Android applications, implementing React Native features, or optimizing mobile performance. This agent specializes in creating smooth, native-feeling mobile experiences. Examples:\n\n<example>\nContext: Building a new mobile app\nuser: "Create a TikTok-style video feed for our app"\nassistant: "I'll build a performant video feed with smooth scrolling. Let me use the mobile-app-builder agent to implement native performance optimizations."\n<commentary>\nVideo feeds require careful mobile optimization for smooth scrolling and memory management.\n</commentary>\n</example>\n\n<example>\nContext: Implementing mobile-specific features\nuser: "Add push notifications and biometric authentication"\nassistant: "I'll implement native push notifications and Face ID/fingerprint auth. Let me use the mobile-app-builder agent to ensure proper platform integration."\n<commentary>\nNative features require platform-specific implementation and proper permissions handling.\n</commentary>\n</example>\n\n<example>\nContext: Cross-platform development\nuser: "We need this feature on both iOS and Android"\nassistant: "I'll implement it using React Native for code reuse. Let me use the mobile-app-builder agent to ensure native performance on both platforms."\n<commentary>\nCross-platform development requires balancing code reuse with platform-specific optimizations.\n</commentary>\n</example>
Reorganizes project structure by cleaning root clutter, creating logical folder hierarchies, and moving files to optimal locations. Tracks dependencies and fixes broken imports/paths. Use PROACTIVELY when project structure becomes unwieldy or needs architectural cleanup.
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>
LaunchDarkly agent skills and MCP servers for feature flag management, AgentControl, and metrics
Claude Code skill pack for PostHog (24 skills)
Autonomous experiment loop that optimizes any file by a measurable metric. 5 slash commands, 8 evaluators, configurable loop intervals (10min to monthly).
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
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.