Claude Plugin

support-responder

Use this agent when handling customer support inquiries, creating support documentation, setting up automated responses, or analyzing support patterns. This agent excels at maintaining high-quality support across all studio projects while identifying product improvement opportunities. Examples:\n\n<example>\nContext: Setting up support for a new app launch

Editor's Note

Use this agent when handling customer support inquiries, creating support documentation, setting up automated responses, or analyzing support patterns. This agent excels at maintaining high-quality support across all studio projects while identifying product...

Plugin Overview

This item is backed by a plugin manifest rather than a `SKILL.md` file, so the most useful fields are surfaced here first.

Plugin Name

support-responder

Version

1.0.0

Author

Michael Galpert

Manifest Description

Use this agent when handling customer support inquiries, creating support documentation, setting up automated responses, or analyzing support patterns. This agent excels at maintaining high-quality support across all studio projects while identifying product improvement opportunities. Examples:\n\n<example>\nContext: Setting up support for a new app launch

Raw Manifest

The structured plugin fields above are derived from the same upstream manifest shown below.

{ "name": "support-responder", "description": "Use this agent when handling customer support inquiries, creating support documentation, setting up automated responses, or analyzing support patterns. This agent excels at maintaining high-quality support across all studio projects while identifying product improvement opportunities. Examples:\\n\\n<example>\\nContext: Setting up support for a new app launch", "version": "1.0.0", "author": { "name": "Michael Galpert" }, "homepage": "https://github.com/ccplugins/awesome-claude-code-plugins/tree/main/plugins/support-responder" }

Related Items

Claude Plugin

ceo-quality-controller-agent

Universal quality control orchestrator and final authority for any software development project. Dynamically discovers and coordinates with available sub-agents, performs comprehensive multi-dimensional quality assessment, security validation, and deployment readiness verification. Adapts to any project type, programming language, or development framework while maintaining enterprise-grade quality standards. Examples: <example>Context: Code changes ready for review across any project. user: 'Please review this code before commit' assistant: 'I'll use the 1-ceo-quality-control-agent to orchestrate comprehensive quality validation, discover available specialists, and perform final security scanning before approval.' <commentary>Universal quality control requires comprehensive validation across all dimensions regardless of project type.</commentary></example> <example>Context: Multi-agent work completion needing validation. user: 'Several agents completed their tasks, need quality review' assistant: 'Let me engage the 1-ceo-quality-control-agent to coordinate comprehensive validation across all completed work and ensure quality standards.' <commentary>Multi-agent coordination and quality validation applies to any development project.</commentary></example>

Claude Plugin

context7-docs-fetcher

Use this agent when you need to fetch and utilize documentation from Context7 for specific libraries or frameworks. Examples: <example>Context: User is building a React application and needs documentation about hooks. user: 'I need to implement useState and useEffect in my React component' assistant: 'I'll use the context7-docs-fetcher agent to get the latest React documentation about hooks' <commentary>Since the user needs specific React documentation, use the context7-docs-fetcher agent to fetch relevant docs and provide accurate guidance.</commentary></example> <example>Context: User is working with Express.js and MongoDB and needs setup guidance. user: 'How do I create a REST API with Express and connect to MongoDB?' assistant: 'Let me use the context7-docs-fetcher agent to get the current documentation for both Express.js and MongoDB' <commentary>The user needs documentation for multiple libraries, so use the context7-docs-fetcher agent to fetch comprehensive docs.</commentary></example>

Claude Plugin

devops-automator

Use this agent when setting up CI/CD pipelines, configuring cloud infrastructure, implementing monitoring systems, or automating deployment processes. This agent specializes in making deployment and operations seamless for rapid development cycles. Examples:\n\n<example>\nContext: Setting up automated deployments\nuser: "We need automatic deployments when we push to main"\nassistant: "I'll set up a complete CI/CD pipeline. Let me use the devops-automator agent to configure automated testing, building, and deployment."\n<commentary>\nAutomated deployments require careful pipeline configuration and proper testing stages.\n</commentary>\n</example>\n\n<example>\nContext: Infrastructure scaling issues\nuser: "Our app crashes when we get traffic spikes"\nassistant: "I'll implement auto-scaling and load balancing. Let me use the devops-automator agent to ensure your infrastructure handles traffic gracefully."\n<commentary>\nScaling requires proper infrastructure setup with monitoring and automatic responses.\n</commentary>\n</example>\n\n<example>\nContext: Monitoring and alerting setup\nuser: "We have no idea when things break in production"\nassistant: "Observability is crucial for rapid iteration. I'll use the devops-automator agent to set up comprehensive monitoring and alerting."\n<commentary>\nProper monitoring enables fast issue detection and resolution in production.\n</commentary>\n</example>

Claude Plugin

experiment-tracker

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>

Deploy agents, MCP servers, and backends fast logo

Railway - Deploy agents and MCP servers fast

Try Railway