Results for “spikeinterface”

Stripe payment platform integration. Manage payments, subscriptions, invoices, and customers via Stripe API.

Authenticate, initialize, and use the stateful Gemini Interactions API for multi-turn conversations, streaming, structured output, and function calling on the Gemini Enterprise Agent Platform.

Stripe payments integration — checkout, subscriptions, webhooks, customer portal, pricing tables.

Guides Stripe integration decisions: API selection, Connect platform setup, billing, Treasury, and security best practices for building or reviewing Stripe integrations.

Snyk API skill. Use when working with Snyk for user, group, orgs. Covers 100 endpoints.

Stripe payments integration guidance — native Vercel Marketplace setup, checkout sessions, webhook handling, subscription billing, and the Stripe SDK. Use when implementing payments, subscriptions, or processing transactions.

Activates for web scraping and Actor development, discovering APIs via traffic interception, recommending optimal strategies, and implementing iteratively. For production, it guides TypeScript Actor creation via Apify CLI.

Query and manage ClickUp tasks, spaces, lists, and assignees via the REST API, with helper scripts for common operations and guidance on pagination and subtasks.

WebRTC peer-to-peer communication. Signaling, ICE/STUN/TURN, media streams, data channels, screen sharing, and SFU integration (mediasoup, LiveKit). USE WHEN: user mentions "WebRTC", "video call", "peer-to-peer", "P2P", "screen sharing", "data channel", "STUN", "TURN", "mediasoup", "LiveKit" DO NOT USE FOR: server-to-client streaming - use `sse`; chat messaging - use `socket-io`

Upgrade Stripe API versions and SDKs across server-side, Stripe.js, and mobile platforms with a structured checklist.

Stripe API skill. Use when working with Stripe for account, account_links, account_sessions. Covers 587 endpoints.

Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variational quantum algorithms (VQE, QAOA), quantum neural networks, hybrid quantum-classical models, molecular simulations, quantum chemistry calculations, or any quantum computing tasks requiring gradient-based optimization, hardware-agnostic programming, or quantum machine learning workflows.

Use this skill for REST/RPC contracts, versioning, error shapes, schemas, backward compatibility. Trigger when the task involves programming work related to API Interface Design, production implementation, audits, debugging, strategy, or validation.