2. DevOps & Infrastructure

Guides on configuring Azure Cosmos DB with partition keys, consistency levels, change feed, and SDK patterns for cloud data management.

Automates CI/CD failure investigation by fetching and recursively following log links from GitHub Actions to trace root causes.

Guides adding benchmarks to CI pipeline: creates benchmark JSON, integrates with bootstrap.sh, and configures CI upload via ci3.yml.

Installs flowctl CLI locally and delivers setup instructions via CLAUDE.md/AGENTS.md for /flow-next:setup command execution.

Configures project and user-level bash command permissions for permanent allowlisting in system configurations.

Manages Railway cloud infrastructure operations including deployment, environment management, and monitoring via CLI.

Eliminates hidden infrastructure failures by enforcing immediate system failure on issues, enhancing operational visibility and production reliability.

Resolves Docker configuration errors and configures paper search integration for seamless operation.

Resolves Azure CLI setup errors including authentication failures, MCP integration configuration, and 'az login required' issues.

Enables querying, managing, and interacting with Azure cloud resources including storage accounts, Key Vault, Cosmos DB, and AKS clusters.

Resolves common setup issues for ccproxy and LiteLLM, including connection failures and proxy configuration.

Resolves common Google Cloud configuration errors including ADC not found, auth issues, and project setup for seamless GCloud integration.

Provides tools for querying GCP logs, analyzing metrics, and debugging production issues using Cloud Logging and Trace analysis.

Generates structured JSON and Markdown reports for git changes, including design intent, code, and impact analysis for code reviews and CI/CD pipelines.

Automates npm package publishing in monorepos using Changesets, GitHub Actions, and npm Trusted Publishers with OIDC authentication.

Guides implementation of Azure DevOps API integrations, exploring capabilities, and understanding request/response formats using OpenAPI specifications.

Guides on destination configuration patterns, environment mocking, and interface understanding for seamless integration and testing.

Guides developers in implementing AI-powered GitHub workflows for automated issue tracking and pull request management.

Step-by-step guide for debugging GitHub Actions workflows, including log analysis, run auditing, and issue resolution.

Configures and manages the Skillz MCP Server using Docker containerization for deployment and scalability.

Provides best practices for writing JavaScript code in GitHub Actions workflows using the github-script tool.

Enables rapid deployment of critical fixes to production systems with minimal downtime through streamlined DevOps workflows.

Automates pull request creation by tracking commit accumulation and triggering PRs when predefined thresholds are met.

Automates initial configuration and tool installation for new team members to establish a consistent development environment.