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Found 1,660 Skills
Comprehensive CI/CD pipeline patterns skill covering GitHub Actions, workflows, automation, testing, deployment strategies, and release management for modern software delivery
Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. This skill should be used when fine-tuning pre-trained models, performing inference with pipelines, generating text, training sequence models, or working with BERT, GPT, T5, ViT, and other transformer architectures. Covers model loading, tokenization, training with Trainer API, text generation strategies, and task-specific patterns for classification, NER, QA, summarization, translation, and image tasks. (plugin:scientific-packages@claude-scientific-skills)
Dependency management specialist. Use when updating dependencies, scanning for vulnerabilities, analyzing dependency trees, or ensuring license compliance. Handles npm, pip, maven, and other package managers.
Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines.
Multi-stage fuzzy matching pipeline for entity reconciliation. PostgreSQL trigram pre-filter, salient overlap check, and multi-factor similarity scoring.
Use when the user wants to create, generate, or set up a GitHub Actions workflow. Handles CI/CD pipelines, testing, deployment, linting, security scanning, release automation, Docker builds, scheduled tasks, and any custom workflow for any language or framework.
Expert MCP (Model Context Protocol) orchestration with n8n workflow automation. Master bidirectional MCP integration, expose n8n workflows as AI agent tools, consume MCP servers in workflows, build agentic systems, orchestrate multi-agent workflows, and create production-ready AI-powered automation pipelines with Claude Code integration.
Concurrency safety patterns for distributed pueue + mise + systemd-run job pipelines. TRIGGERS - queue pueue jobs, deploy to remote host, concurrent job collisions, checkpoint races, resource guards, cgroup memory limits, systemd-run, autoscale, batch processing safety, job parameter isolation.
Create efficient data pipelines with tf.data
Automate Android screenshot capture across devices and locales using adb, Espresso/UI Automator, device framing, and gplay CLI upload. Use when building screenshot pipelines for Google Play listings.
Angular 19 patterns: signals, standalone components, resource API, signal queries, dependency injection, and Aurora framework integration. Trigger: When implementing Angular components, directives, pipes, services, or using modern reactive patterns.
Expert-level CI/CD with GitHub Actions, Jenkins, deployment pipelines, and automation