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Found 503 Skills
为 Seedance 2.0（Higgsfield）生成品牌叙事和叙述视频提示。在用户想要创建品牌故事视频、公司起源故事、使命视频、关于我们视频、品牌电影、企业叙事、创始人故事、品牌颂歌、公司文化视频或情感品牌内容时使用。在以下情况下触发：品牌故事、品牌视频、公司故事、起源故事、关于我们、使命视频、品牌电影、品牌颂歌、企业视频、公司文化、创始人故事、品牌叙事或任何品牌/公司叙事视频请求。即使是"讲述我们的公司故事"或"为我们的使命制作视频"也适用。
Enhance text storyboards into Seedance 2.0 video prompts one by one. Call this when the text storyboard is completed and needs to be converted into executable video prompts.
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.
Guides users through AI video production on the Seedance platform — from creative ideation and asset preparation through storyboarding to production-ready prompts. Triggers on keywords such as Seedance, AI video, storyboard, camera movement, video extension, one-shot take.
This skill generates storyboard prompts for Seedance 2.0
Expert Cinema Director skill for Seedance 2.0 (ByteDance) — high-fidelity video generation using technical camera grammar and multimodal references. Supports text-to-video, image-to-video, and video extension.
Expert prompt engineering for Seedance 2.0. Use when the user wants to generate a video with multimodal assets (images, videos, audio) and needs the best possible prompt.
Drive JLCEDA Pro from Codex via WebSocket RPC using websocat as a short-lived local WS server (no Node/MCP required). Supports listing/calling all jlc.* tools and full EDA API passthrough (eda.invoke/get/keys).
Schematic capture and wiring. Create schematic sheets, place symbols, add wires and net labels, organize hierarchical designs.
Exploratory Data Analysis skill for CSV and parquet datasets with deterministic profiling, drift/anomaly scans, contract generation and validation, and optional memory writeback into skill-system-memory. The implementation is Polars-first (lazy scan for large files and early `--sample` head), includes high-cardinality guards for profile/importance/contract flows, and supports categorical correlation with Cramer's V. Use when building or reviewing tabular fraud/risk/data-quality workflows, profiling new datasets, checking leakage or drift, or saving/validating data contracts.
Automate Peopledatalabs tasks via Rube MCP (Composio). Always search tools first for current schemas.
Run holistic pedagogical review on lecture slides. Checks narrative arc, student prerequisites, worked examples, notation clarity, and deck pacing.