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By ccplugins
Fetch a GitHub issue via gh CLI, analyze it to implement code fixes with tests, verify linting and types, then create a descriptive commit—all in one automated workflow.
npx claudepluginhub ccplugins/awesome-claude-code-plugins --plugin fix-github-issueShare bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Addresses GitHub issues by taking issue number as parameter, analyzing context, implementing solution, and testing/validating the fix for proper integration.
Analyzes and fixes GitHub issues using a structured approach with GitHub CLI for issue details, implementing necessary code changes, running tests, and creating proper commit messages.
This is a detailed way you can analyze the GitHub issues and let Claude handle them in best possible way.
Fetches GitHub issue details to create comprehensive implementation specifications, analyzing requirements and planning structured approach with clear implementation steps.
For easy problems, start here. For harder problems, do this after Explore.
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.
Ask Claude Code to help you debug an issue
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
Generate comprehensive tests for a specific file
Get comprehensive code reviews with suggestions for improvements, best practices, and potential issues.
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>
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