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Found 37 Skills
Use when generating videos with Alibaba Cloud Model Studio PixVerse models (`pixverse/pixverse-v5.6-t2v`, `pixverse/pixverse-v5.6-it2v`, `pixverse/pixverse-v5.6-kf2v`, `pixverse/pixverse-v5.6-r2v`). Use when building non-Wan text-to-video, first-frame image-to-video, keyframe-to-video, or multi-image reference-to-video workflows on Model Studio.
Build identity-preserving character generation workflows and pipelines in ComfyUI. Selects the optimal identity method (InfiniteYou, FLUX Kontext, PuLID, InstantID, IP-Adapter) based on use case requirements. Handles face preservation, likeness transfer, cross-domain conversion (3D to photo), multi-reference consistency, iterative character editing, and character variation generation. Triggers on requests to generate consistent characters, preserve identity across images, create face-swapping workflows, or convert 3D renders to photorealistic portraits. Does NOT cover general image generation without identity preservation, model training/LoRA fine-tuning, animation, technical explanations, or workflow debugging.
Complete Runway API setup: check compatibility, configure API key, and integrate generation endpoints
Full workflow of AI short drama generation: account management, scriptwriting, video production. Integrated with X2C billing system, suitable for commercial deployment. It includes three core modules: ad-account-manager (account management), ad-writer (scriptwriting prompts), ad-producer (video production).
Use this skill when the user requests to generate, create, or imagine videos. Supports structured prompts and reference image for guided generation.
Use when generating talking, singing, or presentation videos from a single character image and audio with Alibaba Cloud Model Studio digital-human model `wan2.2-s2v`. Use when creating narrated avatar videos, singing portraits, or broadcast-style talking-head clips.
A natural language workflow for converting literary works (novels, stories, scripts, one-sentence concepts, etc.) into film and video content, which converts novel content into complete videos by orchestrating multiple skills in sequence. This skill is used when users need to convert novels, stories or other literary works into videos.
Generate Instagram content using each::sense AI. Create feed posts, stories, reels covers, carousels, quote graphics, and brand visuals optimized for Instagram's formats and engagement best practices.
Generate images or videos using Jimeng Dreamina CLI. Invoke when user needs to generate images or videos using Jimeng (Dreamina).
Create professional videos autonomously using claude-code-video-toolkit — AI voiceovers, image generation, music, talking heads, and Remotion rendering.
Removes the signs of AI generation from English text: clichés, filler, corporate jargon, sycophantic tone, emoji bullet lists, gratuitous em-dashes, fabricated sources. Use when asked to humanize, de-slop, or check English text for AI voice ('this reads like a chatbot', 'убери следы ИИ в тексте'), or when copy-paste chatbot markers are present: ':contentReference', '?utm_source=chatgpt.com', 'oai_citation', '[cite: 8]'. Do not use on text that is not English, on source code, on legal documents, or on literary prose and résumés, where rhythm and the em-dash are authorial devices.
Use when a generated Scenario image needs a quality check or a brand-brief compliance verdict before it ships: pass/warn/fail scoring, on-brand review against a configured brief, QA gating a batch, pricing or refreshing a stored verdict, or iterating a generation until it clears the gate. Keywords: quality gate, quality check, QA, verdict, brief compliance, on-brand, brand brief, pass fail, score, review, asset_quality_gate_run.