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devops architecture patterns AI Skills

Discover devops architecture patterns skills, compare source repositories and read the instructions for each workflow.

Categories: devops architecture patterns

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GitHub

ac-memory-manager

adaptationio

Manage persistent memory for autonomous coding. Use when storing/retrieving knowledge, managing Graphiti integration, persisting learnings, or accessing episodic memory.

GitHub

railway-deployment

adaptationio

Comprehensive Railway.com deployment management for GitHub, Docker, and local sources. Use when deploying to Railway, redeploying services, rolling back deployments, monitoring deployment status, managing stagi...

GitHub

multi-ai-planning

adaptationio

Create production-ready, agent-executable plans using verification-first approach, hierarchical decomposition, dependency mapping, and quality gates. Optional multi-AI research integration (Claude + Gemini + Co...

GitHub

ralph-prompt-project

adaptationio

Generate Ralph-compatible prompts for entire projects from scratch. Creates comprehensive prompts with architecture phase, implementation phases, testing, and documentation. Use when building complete applicati...

GitHub

bedrock-agentcore-multi-agent

adaptationio

Amazon Bedrock AgentCore multi-agent orchestration with Agent-to-Agent (A2A) protocol. Supervisor-worker patterns, agent collaboration, and hierarchical delegation. Use when building multi-agent systems, orches...

GitHub

analysis

adaptationio

Comprehensive analysis operations for code, skills, processes, data, and patterns. Task-based operations with pattern recognition, metrics calculation, trend identification, and actionable insights generation....

GitHub

observability-pattern-detector

adaptationio

Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.

GitHub

handoff-coordinator

adaptationio

Clean transitions between agents and sessions. Use when preparing handoffs, serializing state, bridging context between agents, or coordinating multi-agent workflows.

GitHub

process-optimizer

adaptationio

Optimize skill development processes through bottleneck identification, efficiency analysis, automation discovery, and workflow improvement. Task-based operations for process analysis, bottleneck elimination, a...

GitHub

railway-project-management

adaptationio

Comprehensive Railway.com project, environment, and variable management. Use when creating Railway projects, managing environments, configuring services, setting variables, syncing environments, managing PR env...

GitHub

auto-claude-build

adaptationio

Auto-Claude autonomous build system. Use when running builds, understanding agent workflow, managing parallel execution, or troubleshooting build issues.

GitHub

ac-feature-analyzer

adaptationio

Analyze features and their dependencies. Use when mapping feature relationships, detecting blockers, optimizing build order, or identifying critical paths.

GitHub

end-to-end-orchestrator

adaptationio

Complete development workflow orchestrator coordinating all multi-ai skills (research → planning → implementation → testing → verification) with quality gates, failure recovery, and state management. Single-com...

GitHub

ac-parallel-coordinator

adaptationio

Coordinate parallel autonomous operations. Use when running parallel features, managing concurrent work, coordinating multiple agents, or optimizing throughput.

GitHub

improvement-workflow

adaptationio

Complete continuous improvement cycle orchestrating review, analysis, learning extraction, systematic updates, and validation. Sequential workflow from comprehensive review through pattern analysis and learning...

GitHub

railway-automation

adaptationio

Railway CI/CD integration and automation. Use when setting up GitHub Actions, GitLab CI, automated deployments, migration scripts, or programmatic Railway workflows.

GitHub

bedrock-agentcore-policy

adaptationio

Amazon Bedrock AgentCore Policy for defining agent boundaries using natural language and Cedar. Deterministic policy enforcement at the Gateway level. Use when setting agent guardrails, access control, tool per...

GitHub

best-practices-learner

adaptationio

Extract learnings and best practices from skill development experience, review findings, and pattern analysis. Task-based operations for pattern extraction, learning documentation, guideline updates, knowledge...

GitHub

multi-ai-debugging

adaptationio

Systematic debugging using Claude, Gemini, and Codex as specialized agents. Multi-agent root cause analysis, log analysis, error classification, and auto-fix generation. Use when debugging production issues, an...

GitHub

error-recoverer

adaptationio

Intelligent error detection and recovery for autonomous coding. Use when handling errors, implementing retry logic, recovering from failures, or managing exception handling.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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