Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes...
Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes...
Manages Git operations including branching strategies, commit conventions, merge workflows, conflict resolution, and worktree management. Trigger keywords: git, branch, commit, merge, rebase, pull...
GitOps deployment workflows with ArgoCD and Flux. Use for setting up GitOps (ArgoCD 3.x, Flux 2.7), designing repository structures (monorepo/polyrepo, app-of-apps), multi-cluster deployments...
Patterns for building, maintaining, and scaling bioinformatics workflows. Covers Nextflow, Snakemake, WDL/Cromwell, container orchestration, and best practices for reproducible computational...
Use when symfony daily workflow
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Build multi-agent AI workflows with orchestration, tool use, and state management
Expert guidance for Git workflows, troubleshooting, and best practices
Advanced Git workflows, branching strategies, and commit conventions
Build resumable multi-agent workflows with durable execution, tool loops, and automatic stream recovery on client reconnection.
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Master Git workflows including GitFlow, GitHub Flow, Trunk-Based Development. Configure branches, merge strategies, and collaboration patterns for team environments.
Build resumable state-machine workflows with checkpoint patterns, progress preservation, and automatic recovery for complex multi-phase operations that need to survive interruptions, timeouts, and...
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating...
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating...
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating...
Jeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation. Includes exact prompts used.
Jeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation. Includes exact prompts used.