Packs
12 packscurated
Safe Production Deployment
Deploy a web application safely with pre-deployment audit, rollout plan, canary monitoring, and rollback strategy.
9 skills · pack
@adobe
App Builder
Development, customization, testing, and deployment skills for Adobe App Builder projects
6 skills · pack
curated
Cloudflare One Deployment Pipeline
Design, configure, and migrate to Cloudflare One Zero Trust and SASE.
3 skills · pack
curated
Secure Django Deployment
Installs a pipeline to harden, audit, verify, and deploy a Django app securely.
5 skills · pack
curated
Secure Laravel Deployment
Installs a pipeline to harden, audit, verify, and enforce security for Laravel apps.
4 skills · pack
curated
Azure Database Management
For .NET developers managing Azure PostgreSQL and MySQL Flexible Server deployments with the Azure SDK.
6 skills · pack
curated
Ship Production Deployment
Sets up CI/CD pipeline, deploys with staged rollout, configures observability, and enforces safety checks.
5 skills · pack
curated
Full-Stack Deployment Pipeline
Coordinate staged releases across Stripe, Supabase, and Vercel from the shell using Composio CLI.
6 skills · pack
curated
Publish SEO-Optimized Article
Install this pack to publish an SEO-optimized, on-brand article from content to deployment.
9 skills · pack
curated
Full-Stack Backend Platforms
For developers building backends with Convex, Firebase, or Django, covering schema design, real-time features, and deployment.
10 skills · pack
@microsoft
Azure Skills
Microsoft Azure MCP integration for cloud resource management, deployments, and Azure services. Manage your Azure infrastructure, monitor applications, and deploy resources directly from Claude Code.
33 skills · pack
@brycewang-stanford
KDD Skills
Twelve KDD-specific skills covering data-mining conference strategy across both submission cycles: track selection, sigconf submission, rebuttal, Resubmit handling, deployment evidence, and ACM proceedings publication, grounded in official KDD 2026 CFPs and OpenReview groups.
2 skills · pack
Results for “deployment”
29 skills
microsoft airunway-aks-setup
Walks users from a bare AKS cluster to a running AI model deployment, covering cluster verification, controller install, GPU assessment, provider setup, and first deployment.
2.7k · bundle
neuralblitz mlflow
Manages the machine learning lifecycle with experiment tracking, model versioning, reproducible runs, and deployment through the MLflow platform.
1
oyi77 llm-deployment
Deploy and serve LLMs in production with vLLM, Ollama, TGI, and llama.cpp, including quantization and GPU optimization.
10
huggingface hf-cloud-sagemaker-deployment-planner
Plans and coordinates the deployment of a model to Amazon SageMaker AI, selecting the appropriate pathway (real-time, serverless, async, batch, or Bedrock CMI) based on model type, traffic, latency, and cost constraints.
10.8k
jeffallan fine-tuning-expert
Fine-tune LLMs using LoRA, QLoRA, and PEFT with Hugging Face, including dataset preparation, hyperparameter tuning, evaluation, and deployment.
10.4k · bundle
microsoft microsoft-foundry
Deploy, evaluate, fine-tune, and manage Microsoft Foundry agents end-to-end using Azure Developer CLI and MCP tools.
2.7k · bundle
More results
microsoft finetuning
Fine-tune models on Azure AI Foundry using SFT, DPO, or RFT, covering dataset preparation, training job submission, deployment, and evaluation.
2.7k · bundle
google-gemma gemma-dev
Selects the right Gemma model for a task, recommends deployment tooling (Gradio, Transformers.js, Vertex AI, MLX), and applies optimizations like MTP and QAT.
· bundle
composiohq bigml-automation
Automate BigML machine learning operations through Composio's toolkit via Rube MCP, including model creation, training, and deployment.
66.9k
nvidia nemotron-retrieval-recipes
Plan, debug, tune, evaluate, export, or deploy public Nemotron embedding and reranking retrieval recipes using the current checkout.
2.2k · bundle
orchestra-research tensorrt-llm
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency on NVIDIA GPUs (A100/H100).
10.4k · bundle
orchestra-research mlflow
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow.
10.4k · bundle
lingxling shap
Explains machine learning model predictions using SHAP values, covering feature importance, visualizations, debugging, bias analysis, and production deployment.
253 · bundle
qhjqhj00 mlflow
Track ML experiments, manage the model registry with versioning, deploy models, and reproduce experiments using MLflow's framework-agnostic platform.
3 · bundle
mhassan0000 mle-workflow
Turns model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.
1
qhjqhj00 shap
Explains machine learning model predictions using SHAP values, covering feature importance, visualization plots, model debugging, bias analysis, and production deployment.
3 · bundle
affaan-m mle-workflow
Turn model work into a production ML system with data contracts, repeatable training, measurable quality gates, deployable artifacts, and operational monitoring.
226k
k-dense-ai modal
Deploy and serve AI/ML models on Modal's serverless cloud platform with on-demand GPUs, autoscaling containers, persistent storage, and scheduled jobs.
30.2k · bundle
sakamoto-family-smile mle-workflow
Turn model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.
0
google agent-platform-tuning
Fine-tune open models or Gemini models using Agent Platform infrastructure, from environment setup through data preparation, job configuration, monitoring, and deployment.
14.4k · bundle
orchestra-research awq-quantization
Quantize large language models to 4-bit using activation-aware weight quantization, achieving ~3x speedup with minimal accuracy loss for deployment on limited GPU memory.
10.4k · bundle
cloudthinker-ai managing-ray
Manages Ray clusters, jobs, Serve deployments, and distributed workloads via the Dashboard API and CLI, with discovery-first checks and safety guardrails.
7
orchestra-research model-merging
Merge multiple fine-tuned models using mergekit to combine capabilities without retraining, covering SLERP, TIES-Merging, DARE, Task Arithmetic, linear merging, and production deployment strategies.
10.4k · bundle
orchestra-research hqq-quantization
Quantize large language models to 8/4/3/2/1-bit precision without calibration data, using multiple optimized backends for deployment with vLLM or HuggingFace Transformers.
10.4k · bundle
orchestra-research gptq
Quantize large language models to 4-bit with minimal accuracy loss using GPTQ, enabling deployment of 70B+ models on consumer GPUs with 4× memory reduction and 3-4× faster inference.
10.4k · bundle
orchestra-research model-pruning
Compress large language models by 40-60% with minimal accuracy loss using one-shot pruning techniques like Wanda and SparseGPT, enabling faster inference and deployment on constrained hardware.
10.4k · bundle
huggingface huggingface-llm-trainer
Train or fine-tune language and vision models using TRL or Unsloth on Hugging Face Jobs cloud infrastructure, with support for SFT, DPO, GRPO, and reward modeling, plus GGUF conversion for local deployment.
10.8k · bundle
nvidia tao-run-deft-aoi
Automates the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models, including baseline evaluation, RCA, synthetic defect generation, data mining, retraining, and deployment gating until KPI targets are met.
2.2k · bundle
orchestra-research llama-cpp
Run 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.
10.4k · bundle