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Found 779 Skills
Deploys ML and LLM models on TrueFoundry with GPU inference servers (vLLM, TGI, NVIDIA NIM). Uses YAML manifests with `tfy apply`. Use when serving language models, deploying Hugging Face models, or hosting GPU-accelerated inference endpoints.
Use this skill when you need to call MoviePilot REST API endpoints directly. Covers all 237 API endpoints across 27 categories including media search, downloads, subscriptions, library management, site management, system administration, plugins, workflows, and more. Use this skill whenever the user asks to interact with MoviePilot via its HTTP API, or when the moviepilot-cli skill cannot cover a specific operation.
Query AI Engineer Europe 2026 conference data — speakers, talks, schedule, and more. Use when building apps, AI integrations, or tools on top of conference data. Provides REST endpoints (JSON + plain text), an MCP server for agent tool calls, and a CLI. Covers 150+ talks, 150+ speakers, workshops, and the full 3-day schedule.
Use when setting up Commet webhook endpoints, verifying signatures, handling billing events (subscription.created, subscription.activated, subscription.canceled, subscription.updated, payment.received, payment.failed, invoice.created), or building event-driven billing workflows.
Develop Custom SCAPI endpoints for B2C Commerce. Use when creating REST APIs, defining api.json routes, writing schema.yaml (OAS 3.0), or building headless commerce integrations. Covers cartridge structure, endpoint implementation, and OAuth scope configuration.
Browse and retrieve (B2C/SFCC/Demandware) SCAPI OpenAPI schemas with the b2c cli. Always reference when using the CLI to browse SCAPI schemas, check API request/response formats, explore available endpoints, or understand SCAPI data models.
Create storefront controllers in SFRA or classic B2C Commerce patterns. Use when building pages, handling form submissions, creating AJAX endpoints, or working with server.get/server.post, res.render, res.json, and middleware chains. Also covers URLUtils for URL generation.
Guide for writing Netlify serverless functions. Use when creating API endpoints, background processing, scheduled tasks, or any server-side logic using Netlify Functions. Covers modern syntax (default export + Config), TypeScript, path routing, background functions, scheduled functions, streaming, and method routing.
Connect to local LLM endpoints (Ollama, llama.cpp, vLLM) with automatic provider fallback. Use when: (1) you need to run LLM inference locally for privacy/cost, (2) you want to use models not available via cloud APIs, (3) you need offline capability, (4) you want automatic fallback to cloud providers when local fails.
Build, debug, and extend integrations with the EasyPost shipping API. Use this skill whenever the user mentions EasyPost, shipping labels, postage, rate shopping, tracking packages programmatically, customs forms, carrier accounts (USPS/UPS/FedEx/DHL/ePost Global), scan forms, pickups, shipping insurance, or webhooks for shipping events. Also trigger on phrases like "create a shipping label," "buy postage," "rate a parcel," "verify an address," "international shipment," "commercial invoice," "Luma rate shopping," "UPS DAP," "DHL eCommerce," or any task involving the `@easypost/api` Node.js SDK or REST endpoints under `api.easypost.com/v2`. Optimized for Node.js/TypeScript but the REST patterns, field names, and carrier gotchas apply in any language.
Conducts security testing of REST, GraphQL, and gRPC APIs to identify vulnerabilities in authentication, authorization, rate limiting, input validation, and business logic. The tester uses the OWASP API Security Top 10 as the testing framework, combining Burp Suite interception with Postman collections and custom scripts to test endpoint security at every privilege level. Activates for requests involving API security testing, REST API pentest, GraphQL security assessment, or API vulnerability testing.
Deploy vLLM to Kubernetes (K8s) with GPU support, health probes, and OpenAI-compatible API endpoint. Use this skill whenever the user wants to deploy, run, or serve vLLM on a Kubernetes cluster, including creating deployments, services, checking existing deployments, or managing vLLM on K8s.