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Found 556 Skills
Text-to-speech and voice narration. Triggers on: "朗读这段", "配音", "TTS", "语音合成", "text to speech", "read this aloud", "convert to speech", "voice narration", "read aloud".
Generate AI images from text prompts. Triggers on: "生成图片", "画一张", "AI图", "generate image", "配图", "create picture", "draw", "visualize", "generate an image".
BingX Fund Account management — query fund account balance, get asset overview across all account types, transfer assets between accounts, and perform internal P2P transfers. Use when the user asks about BingX fund account balance, asset overview, transferring assets between spot/futures/standard contract accounts, or sending internal transfers to other BingX users.
Transcribe audio to text using Sarvam AI's Saaras model. Handles speech recognition, transcription, and voice interfaces for 23 Indian languages. Supports 5 output modes, auto language detection, WebSocket streaming, and batch diarization. Use when converting speech to text or building voice-enabled apps.
Convert text to natural speech using Sarvam AI's Bulbul v3 model. Handles audio generation, voiceovers, and voice interfaces for 11 Indian languages with 30+ voices. Supports REST, HTTP streaming, WebSocket, and pronunciation dictionaries. Use when generating spoken audio from text.
Monitors context window health throughout a session and rides peak context quality for maximum output fidelity. Activates automatically after plan-interview and intent-framed-agent. Stays active through execution and hands off cleanly to simplify-and-harden and self-improvement when the wave completes naturally or exits via handoff. Use this skill whenever a multi-step agent task is underway and session continuity or context drift is a concern. Especially important for long-running tasks, complex refactors, or any work where degraded context would silently corrupt the output. Trigger even if the user doesn't say "context surfing" — if an agent task is running across multiple steps with intent and a plan already established, this skill is live.
Deep repository analysis skill for Z.AI Zread MCP.
Systematically explore and evaluate a library, tool, or GitHub repo in an isolated scratch environment. Use this skill whenever the user asks to "try", "evaluate", "explore", or "kick the tires" on a library/repo/tool, especially when they provide a GitHub URL, npm/pip package name, or repo shorthand like "owner/repo". Use it when they want real primitives, failure modes, and composability beyond quickstarts before deciding on integration. Produces runnable scratch/ scripts demonstrating key primitives, a composition script, and a Tutorial.md with honest findings. This is NOT for full integration into an existing codebase.
Apply when implementing search functionality, faceted navigation, or autocomplete in a headless VTEX storefront. Covers product_search, autocomplete_suggestions, facets, banners, correction_search, and top_searches endpoints, plus analytics event collection. Use for any custom frontend that integrates VTEX Intelligent Search API for product discovery and search result rendering.
Apply when implementing caching logic, CDN configuration, or performance optimization for a headless VTEX storefront. Covers which VTEX APIs can be cached (Intelligent Search, Catalog) versus which must never be cached (Checkout, Profile, OMS), stale-while-revalidate patterns, cache invalidation, and BFF-level caching. Use for any headless project that needs TTL rules and caching strategy guidance.
Apply when implementing asynchronous payment methods (Boleto, Pix, bank redirects) or working with callback URLs in payment connector code. Covers undefined status response, callbackUrl notification, X-VTEX-signature validation, sync vs async handling, and the 7-day retry window. Use for any payment flow where authorization does not complete synchronously.
Apply when implementing order integration hooks, feeds, or webhook handlers for VTEX marketplace connectors. Covers Feed v3 (pull) vs Hook (push), filter types (FromWorkflow and FromOrders), order status lifecycle, payload validation, and idempotent processing. Use for building order integrations between VTEX marketplaces and external systems such as ERPs, WMS, or fulfillment services.