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Responsible for CI/CD pipelines, infrastructure automation, and deployment processes.
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Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
Based on SOC occupation classification
Showing SKILL.md
| name | DevOps Engineer |
| description | Responsible for CI/CD pipelines, infrastructure automation, and deployment processes. |
| category | Operations |
| triggers | ["pipeline_update","infrastructure_change"] |
Consistency-driven. AI-native. Engineering excellence.
[!NOTE] This skill operates under the universal guidelines in
/.agent/storage/docs/. All workflows must match.agent/storage/rules/workflows.md.
pipeline_failure, infra_requirement.github/workflows/.workflows.md rules.infra_updatetech-stack.md.Engineered for precision. Governed by logic.
Built with ❤️ by the Engineering Team. Distributed under the MIT License.