Best DevOps Skills for Codex CLI

steipete/feishu-drive

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devops

Feishu cloud storage file management. Activate when user mentions cloud space, folders, drive.

steipete/sherpa-onnx-tts

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devops

Local text-to-speech via sherpa-onnx (offline, no cloud)

openclaw/feishu-drive

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devops

Feishu cloud storage file management. Activate when user mentions cloud space, folders, drive.

openclaw/feishu-doc

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devops

Feishu document read/write operations. Activate when user mentions Feishu docs, cloud docs, or docx links.

openclaw/sherpa-onnx-tts

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devops

Local text-to-speech via sherpa-onnx (offline, no cloud)

affaan-m/latency-critical-systems

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devops

Use for latency-sensitive systems such as realtime dashboards, market data, streaming agents, execution gateways, queues, caches, or HFT-like infrastructure where freshness and p95 latency matter.

affaan-m/ralphinho-rfc-pipeline

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devops

RFC駆動の複数エージェントDAG実行パターン、品質ゲート、マージキュー、ワークユニットオーケストレーション。

affaan-m/bun-runtime

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devops

ランタイムとしてのBun、パッケージマネージャー、バンドラー、テストランナー。Bun対Nodeを選択する場合、移行メモ、Vercelサポート。

affaan-m/opensource-pipeline

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devops

オープンソースパイプライン: プライベートプロジェクトをフォーク、サニタイズし、安全な公開リリースのためにパッケージ化する。3つのエージェント（フォーカー、サニタイザー、パッケージャー）を連鎖させる。トリガー: '/opensource'、'open source this'、'make this public'、'prepare for open source'。

affaan-m/docker-patterns

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devops

Docker イメージの構築、最適化、マルチステージビルド、ネットワーク、ボリューム管理。本番環境デプロイメント用のベストプラクティス。

affaan-m/deployment-patterns

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devops

Kubernetes、Docker、Vercel、クラウドプロバイダーにおけるデプロイメントパターンと戦略。ブルーグリーン、カナリア、ローリングデプロイメント、ゼロダウンタイムアップグレード。

affaan-m/opensource-pipeline

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devops

开源流水线：fork、清理并打包私有项目以安全公开发布。串联3个代理（fork代理、清理代理、打包代理）。触发词：'/opensource'、'open source this'、'make this public'、'prepare for open source'。

affaan-m/opensource-pipeline

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devops

Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.

affaan-m/docker-patterns

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devops

Yerel geliştirme, konteyner güvenliği, ağ, volume stratejileri ve multi-servis orkestrasyon için Docker ve Docker Compose kalıpları.

affaan-m/ralphinho-rfc-pipeline

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devops

基于RFC驱动的多智能体DAG执行模式，包含质量门、合并队列和工作单元编排。

affaan-m/bun-runtime

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devops

Bun 作为运行时、包管理器、打包器和测试运行器。何时选择 Bun 而非 Node、迁移注意事项以及 Vercel 支持。

affaan-m/docker-patterns

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devops

用于本地开发的Docker和Docker Compose模式，包括容器安全、网络、卷策略和多服务编排。

nousresearch/llama-cpp

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devops

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.

nousresearch/tensorrt-llm

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devops

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.