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AI & LLM Engineering · Docker
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | 97.Runpod A skill your agent uses when running GPU compute on RunPod and deciding between Pods (hourly, always-on) and Serverless (per-second, autoscaling) for training, fine-tuning or inference — serverless… | ericrisco/ | 180 | — | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 98 | 98.Autogen Build conversational multi-agent systems with Microsoft AutoGen. | magnus919/ | 115 | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 99 | 99.Vllm Operate, configure, benchmark, and troubleshoot vLLM inference servers: Docker and Kubernetes deployment, quantization-aware model configuration (tensor parallelism, KV cache), OpenAI-compatible API… | magnus919/ | 115 | — | ~4.1k | Automated safety check: Notes | MIT | yesterday |
| 100 | Optimize agent skills for discoverability on ClawdHub/MoltHub. | aAAaqwq/ | 105 | 1 repo | ~3.7k | Automated safety check: Pass | MIT | 2 days ago |
| 101 | 101.Openart Guide an OpenART agent or contributor through planning, running, extending, and debugging the framework. | AI45Lab/ | 235 | — | ~918 | Automated safety check: Notes | AGPL-3.0 | 8 days ago |
| 102 | Deploy Langfuse with your application across different platforms. | jeremylongshore/ | 2.8k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 103 | Set up Langfuse local development workflow with hot reload and debugging. | jeremylongshore/ | 2.8k | — | ~1.9k | Automated safety check: Notes | MIT | yesterday |
| 104 | 104.LLM Gateway Deploy an API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking. | BagelHole/ | 1.2k | — | ~2k | Automated safety check: Pass | MIT | 4 mo ago |
| 105 | Guide to JSON Crack for visualizing complex JSON data structures | wentorai/ | 298 | 1 repo | ~2.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 106 | Verl 分布式训练服务一键拉起与配置。触发场景：(1) 用户要启动 Verl 训练任务或部署 RLHF/DAPO 训练环境 (2) 在 NPU 集群上拉起 Verl 训练容器 (3) 配置 Ray 集群和 SwanLab 监控 (4) 根据 7 位二进制掩码灵活配置加速特性。支持 Qwen3-8B 等 Megatron 模型的 DAPO 训练全流程。 | ascend-ai-coding/ | 174 | — | ~2k | Automated safety check: Pass | No licence | yesterday |
| 107 | 107.Transcribe Transcribe audio files to text using local Whisper (Docker). | sundial-org/ | 663 | — | ~324 | Automated safety check: Pass | No licence | 7 mo ago |
| 108 | A skill your agent uses for AutoGen developer tooling maintenance: AutoGen Studio, AG Bench, Magentic-One CLI, pyautogen proxy compatibility, CLI help checks, safe benchmark/service planning, and… | VectorSpaceLab/ | 331 | — | ~910 | Automated safety check: Pass | Unknown | 1 mo ago |
| 109 | 在已经过独立验证的 CLIProxyAPI upstream 之上部署 NewAPI 计费层，把 Codex/Claude/Gemini/Qwen 等订阅账号包装成可计费的 OpenAI 兼容 API。本 Skill 不负责新建裸 CLIProxyAPI；负责 NewAPI Docker 部署、容器到宿主桥接、模型计费倍率、参数化额度修正、多账号 OAuth… | majiayu000/ | 287 | — | ~1.7k | Automated safety check: Warn | MIT | 3 days ago |
| 110 | 110.Verl Quickstart Generates an executable, end-to-end VERL reinforcement learning quickstart runbook for Ascend/NPU (docker image, dataset preprocessing, model setup, mainppo training, and examples/run.sh flow). | ascend-ai-coding/ | 174 | — | ~592 | Automated safety check: Pass | No licence | yesterday |
| 111 | Deploy vLLM inference services on Ascend NPU servers with automatic model detection and optimized configuration. | ascend-ai-coding/ | 174 | — | ~2.7k | Automated safety check: Pass | No licence | yesterday |
| 112 | Stand up a complete, ready-to-run computer-vision analytics stack on Intel hardware with one Docker Compose command — point it at your video sources and an OpenVINO/ONNX model to get live annotated… | open-edge-platform/ | 140 | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
