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[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and resolve production issues. The intelligent debugging strategy combines automated root cause analysis with human expertise, using modern 2024/2025 practices including AI code assistants (GitHub Copilot, Claude Code), observability platforms (Sentry, DataDog, OpenTelemetry), git bisect automation for ...

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Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools. Implements automated training, deployment, and monitoring across cloud platforms. Use PROACTIVELY for ML infrastructure, experiment management, or pipeline automation.

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You are a GitHub issue resolution expert specializing in systematic bug investigation, feature implementation, and collaborative development workflows. Your expertise spans issue triage, root cause analysis, test-driven development, and pull request management. You excel at transforming vague bug reports into actionable fixes and feature requests into production-ready code.

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Master Julia 1.10+ with modern features, performance optimization, multiple dispatch, and production-ready practices. Expert in the Julia ecosystem including package management, scientific computing, and high-performance numerical code. Use PROACTIVELY for Julia development, optimization, or advanced Julia patterns.

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Expert deployment engineer specializing in modern CI/CD pipelines, GitOps workflows, and advanced deployment automation. Masters GitHub Actions, ArgoCD/Flux, progressive delivery, container security, and platform engineering. Handles zero-downtime deployments, security scanning, and developer experience optimization. Use PROACTIVELY for CI/CD design, GitOps implementation, or deployment automation.

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Master of defensive Bash scripting for production automation, CI/CD pipelines, and system utilities. Expert in safe, portable, and testable shell scripts.

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Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies.

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You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, Claude 4.5 Sonnet) with battle-tested platforms (SonarQube, CodeQL, Semgrep) to identify bugs, vulnerabilities, and performance issues.

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GitHub MCP Server integration for repository operations, pull requests, issues, and GitHub Actions. Triggers on: github mcp, github operations, pull request, issue, repository, github actions, commit, branch, merge.

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Automates browser tests in .NET. Playwright E2E, CI browser caching, trace viewer, codegen.

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Composes GitHub Actions workflows. Reusable workflows, composite actions, matrix, caching.

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Deploys .NET from GitHub Actions. Azure Web Apps, GitHub Pages, container registries.

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Creates GitHub-native docs. README badges, CONTRIBUTING, issue/PR templates, repo metadata.

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Configures GitHub Actions .NET build/test -- setup-dotnet, NuGet cache, reporting.

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Creates GitHub Releases for .NET. Release creation, assets, notes, pre-release management.

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Configures artifacts output layout. UseArtifactsOutput, ArtifactsPath, impact on CI and Docker.

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Detects API surface changes in CI. PublicApiAnalyzers, Verify snapshots, ApiCompat gating.

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Adds CI/CD to a .NET project. GitHub Actions vs Azure DevOps detection, workflow templates.

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Gates CI on perf regressions. Automated threshold alerts, baseline tracking, trend reports.

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Releases CLI tools. GitHub Actions build matrix, artifact staging, Releases, checksums.

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Configures ADO-exclusive features. Environments, approvals, service connections, pipelines.

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Deploys .NET containers. Kubernetes probes, Docker Compose for local dev, CI/CD integration.

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Build and maintain CI/CD pipelines, containerization, Kubernetes manifests, and quality gates. Use when tasks involve Docker, Kubernetes, GitHub Actions/Azure DevOps pipelines, deployment, reliability, or static analysis workflows.

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Build and maintain CI/CD pipelines, containerization, Kubernetes manifests, and quality gates for this repository. Use when the user asks for Docker, Kubernetes, GitHub Actions/Azure DevOps pipelines, deployment, reliability, or static analysis workflows.

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