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Found 3,309 Skills
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 seamless, tileable patterns using each::sense AI. Create repeating patterns for textiles, wallpapers, gift wrap, digital backgrounds, and surface designs that tile perfectly without visible seams.
Generate print-ready t-shirt and apparel designs using each::sense AI. Create graphic tees, typography designs, vintage styles, illustrations, and more for custom apparel printing.
Generate professional music album covers using each::sense AI. Create artwork for hip-hop, rock, pop, electronic, jazz, classical, indie albums, singles, EPs, and Spotify canvas visuals.
Generate talking head videos using each::sense AI. Create AI presenters, lip-sync avatars, corporate spokespersons, training videos, and multi-language content from photos, scripts, or audio files.
each::sense is the intelligent layer for generative media. A unified AI agent that generates marketing assets, ads, product images, videos, and creative content. It knows all AI models and automatically selects the best one for your task. Use for any creative content generation request.
Implement AI Coaching best practices on AnalyticDB for PostgreSQL (ADBPG): Leverage Supabase projects (training data management) + ADBPG instances with vector optimization to build RAG-driven coaching systems that guide users through domain-specific workflows, decision-making, or skill development. Use when: User wants to create Supabase projects (spb-xxx), ADBPG instances (gp-xxx), vector knowledge bases, or RAG-driven coaching systems on ADBPG. Triggers: "Supabase", "ADBPG", "vector database", "knowledge base", "RAG", "AI coaching", "coaching system", "spb-xxx", "gp-xxx"
Generate and manage provider-backed video renders for short-form production. Use this when approved upstream assets or prompt plans already exist and you need local render manifests, downloaded video files, and replaceable routes for talking-head or Seedance generation without losing continuity across concepts and personas.
Build fact-grounded short-form video personas and visual consistency packs from validated benchmark research. Use this when you need to define a repeatable creator archetype, image prompt pack, or persona lock for batch video production. This skill must derive personas from real benchmark evidence such as creator types, protagonist descriptions, visual styles, hooks, and audience language. Do not invent personas or visual traits without source support.
Generate and manage persona-aware voice assets for short-form video production, including voice design, script-specific audio takes, and future reusable voice identities. Use this when persona registries and scripts already exist and you need local audio assets, voice manifests, and reviewable voice iterations without losing continuity across many videos.
Builds and deploys Docker containers on Render—Dockerfiles, multi-stage builds, Blueprint Docker fields, private registries, layer caching, and platform constraints. Use when the user mentions Docker, Dockerfile, container images, multi-stage builds, container registry, GHCR, ECR, BuildKit, dockerContext, runtime docker or image, or optimizing Docker builds on Render.
Expert product launch strategist for SaaS and technology companies. Use when planning product launches, coordinating cross-functional launch teams, managing beta programs, creating launch communication plans, planning launch day execution, setting up post-launch monitoring, running launch retrospectives, or defining launch metrics. Covers launch tiering, internal enablement, rollback planning, and contingency strategies.