Docker
Containerization and Docker
test-implementer
by masanao-ohba
Test execution patterns, failure classification, and result analysis
docker-optimization
by pluginagentmarketplace
Optimize Docker images and containers for size, build speed, and runtime performance
docker-containerization
by mamba-mental
This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to various platforms. Ideal for Next.js, React, Node.js applications requiring containerization for development, production, or CI/CD pipelines. Use this skill when users need Docker configurations, multi-stage builds, container orchestration, or deployment to Kubernetes, ECS, Cloud Run, etc.
ai-multimodal
by mamba-mental
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.
modal-deployment
by ferdousbhai
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch jobs, scheduling tasks, serving APIs with GPU acceleration, or scaling compute-intensive workloads. Triggers on requests for serverless GPU infrastructure, LLM inference, model training/fine-tuning, parallel data processing, cron jobs in the cloud, or deploying Python web endpoints.
cloud-devops-skill
by pluginagentmarketplace
Master cloud platforms (AWS, GCP, Azure), containerization (Docker), orchestration (Kubernetes), infrastructure as code, CI/CD pipelines, and DevOps practices for deploying and managing scalable applications.
cloud-infrastructure
by pluginagentmarketplace
Cloud platforms (AWS, Cloudflare, GCP, Azure), containerization (Docker), Kubernetes, Infrastructure as Code (Terraform), CI/CD, and observability.
devops-cloud-skills
by pluginagentmarketplace
Master Docker, Kubernetes, Terraform, AWS, Linux, CI/CD, and infrastructure as code. Deploy and manage cloud applications at scale.
k8s-debug
by martin-janci
Kubernetes troubleshooting and debugging workflows. Use when diagnosing pod failures, networking issues, resource problems, CrashLoopBackOff, ImagePullBackOff, pending pods, OOMKilled, or any cluster issues. Covers systematic debugging approaches and common failure patterns.
artifact-management
by pluginagentmarketplace
Artifact repositories with Nexus, Artifactory, and container registries for build artifact storage
deployment
by pluginagentmarketplace
"Next.js deployment - Vercel, Docker, self-hosting strategies"
world-labs-api
by CloudAI-X
World Labs Marble API integration - authentication, endpoints, models, and media uploads
world-labs-image-prompt
by CloudAI-X
Single image input for world generation - requirements, best practices, and examples
gemini-imagegen
by hirefrank
Generate, edit, and compose images using Google's Gemini AI API for design workflows and visual content creation
devops
by mamba-mental
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.
media-processing
by mamba-mental
Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration) and ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.
world-labs-studio
by CloudAI-X
World Labs Studio - Compose multiple worlds, record camera animations, and expand boundaries
docker-helper
by IncomeStreamSurfer
Expert Docker and container management assistant for containerization, orchestration, and optimization
Image Editor
by skilzy-ai
Official collection of AI Agent Skills for the Skilzy ecosystem - Community-contributed capabilities for Claude, ChatGPT, and all AI platforms
gitops
by pluginagentmarketplace
GitOps practices with ArgoCD, FluxCD, and declarative infrastructure management
swift-codable-json
by dagba
Use when implementing JSON encoding/decoding with Codable, handling API responses, encountering decoding errors, managing date formats, mapping snake_case to camelCase, or dealing with nested/inconsistent JSON structures
world-labs-pano-video
by CloudAI-X
Panorama and video input for world generation - maximum layout control
sandbox-manager
by djacobsmeyer
Configure and manage Claude Code sandboxing for secure code execution. Use when user mentions sandboxing, security isolation, untrusted code, network restrictions, filesystem permissions, or wants to configure Claude Code security settings. Helps enable/disable sandbox mode, configure permissions, troubleshoot compatibility issues, and provide scenario-based configurations.
k8s-deploy-auto
by martin-janci
Kubernetes deployment automation workflows for CI/CD pipelines, GitOps, and scripted deployments. Use when automating k8s deployments, creating deployment scripts, integrating with GitHub Actions/GitLab CI, implementing rollout strategies, or setting up ArgoCD/Flux workflows.