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Found 1,614 Skills
TranscribeMe platform help — human+AI hybrid transcription service with 99% accuracy guarantee on human-reviewed tiers, HIPAA compliance, and REST API. Use when uploading audio for human-edited transcription, choosing between Machine Express and human-reviewed tiers, integrating TranscribeMe API into a transcript pipeline, comparing TranscribeMe vs Rev vs GoTranscript vs Sonix for accuracy-critical transcription, troubleshooting slow turnaround or inconsistent punctuation, setting up HIPAA-compliant medical or legal transcription, or debugging chunked upload or OAuth token issues. Do NOT use for live meeting recording or real-time transcription (TranscribeMe is upload-only — use /sales-note-taker for live meeting tools).
Use Alibaba Cloud DashScope API and LingMou to generate AI video and speech. Seven capabilities — (1) LivePortrait talking-head (image + audio → video, two-step), (2) EMO talking-head, (3) AA/AnimateAnyone full-body animation (three-step), (4) T2I text-to-image (Wan 2.x, default wan2.2-t2i-flash), (5) I2V image-to-video (Wan 2.x, default wan2.7-i2v-flash, supports T2I→I2V pipeline), (6) Qwen TTS (auto model/voice by scene, default qwen3-tts-vd-realtime-2026-01-15), (7) LingMou digital-human template video with random template, public-template copy, and script confirmation. Trigger when the user needs talking-head, portrait, full-body animation, text-to-image, text-to-video, or speech synthesis.
Generate cinematic videos with native synchronized audio using ByteDance Seedance 2.0 (Fast) via EachLabs. Supports text-to-video (bytedance-seedance-2-0-text-to-video-fast) and image-to-video (bytedance-seedance-2-0-image-to-video-fast). Use when the user specifically asks for Seedance 2.0, wants native audio with the video, realistic physics, director-level camera control, or 4–15 second clips up to 720p.
Comprehensive guide for implementing Syncfusion React button components including Button, ButtonGroup, DropDownButton, Floating Action Button, ProgressButton, SplitButton, Speed Dial and Switch button and radio button. Use this when adding styled buttons, toggle behavior, icon support, grouped selections, dropdown action menus, programmatic control floating primary actions, or expandable speed dial menus to a React application.
TDD workflow for RTK filter development. Red-Green-Refactor with Rust idioms. Real fixtures, token savings assertions, snapshot tests with insta. Auto-triggers on new filter implementation.
Swift Charts patterns — marks, axes, selection, styling, composition, Chart3D, accessibility, and Audio Graph. Use when building or improving charts in SwiftUI.
Generates a self-contained Python experiment client that uses the ddtrace.llmobs SDK. Emits either a runnable .py script or a Jupyter .ipynb notebook matching the canonical DataDog reference notebook style. Use when the user says "generate Python experiment", "write an SDK experiment", "create a ddtrace experiment", "Python notebook experiment", "use the LLM Obs SDK", or has `ddtrace` installed and wants idiomatic SDK code.
Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows. Use when an agent needs to install, verify, troubleshoot, configure, or operate Open Computer Use through its native CLI, stdio MCP server, or direct Computer Use tool calls.
Answer ZenMux questions by reading the latest official docs. Use for product features, APIs, integration, pricing, models/providers, routing, fallback, streaming, multimodal, structured output, tool calling, reasoning, prompt caching, image/video generation, web search, long context, observability, logs, cost tracking, subscriptions, PAYG, invoices, FAQ, privacy, terms, compliance, and tool guides for Claude Code, Cursor, Cline, Codex, Gemini CLI, opencode, Cherry Studio, Obsidian, Sider, Open-WebUI, Dify, and GitHub Copilot. Trigger on "ZenMux docs", "ZenMux API", "how to use ZenMux", "models", "pricing", "ZenMux 怎么用", "文档", "快速开始", "API 参考", "模型路由", "供应商路由", "订阅", "按量计费", "接入", "配置". Also use when ZenMux is the project context and the user asks about LLM API aggregation, model routing, or provider fallback.
Generate AI images, videos, audio via Picsart gen-ai CLI.
Use when the user asks "what predefined metrics are available", "which built-in metrics should I use", "what does CSAT measure", "how does hallucination detection work", "what's the difference between Interruption Score and AI Interrupting User", "which metrics are free", "which metrics need audio", "configure silence threshold", "set up sentiment metric", or any question about Cekura's out-of-the-box metrics. Covers the full catalog of predefined metrics — what each does, costs, constraints, configuration options, and when to use each one.
Legacy-project style inheritance skill. Use when the user types /inherit-legacy-style, or when onboarding an AI coding agent onto a hand-written legacy project and you need to prevent "style drift" (the model imposing its pretrained mainstream idioms onto the project). Language- and framework-agnostic — it aligns meta-architecture only, not syntax. Once run, it becomes a behavioral constraint on all subsequent coding tasks. Do NOT use for pure research or one-off questions unrelated to code-style alignment.