AI Agent Skills

Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.

Write precise Seedance 2.0 prompts for multimodal video, camera movement, editing, music, and product storytelling.

Build a reproducible local rough-cut workflow for talking-head or narrated screen-recording videos with transcript review gates.

Generate or edit images and videos through the Atlas Cloud gateway. Use for Atlas-hosted Seedance 2.5/2.0, Gemini Omni Flash, MiniMax H3, Seedream 5.0, GPT Image 2, Nano…

Build data-driven 2D character rigs for local animation: parts, pivots, layers, constraints, views, and reusable rig packages.

Generate AI videos from text prompts using multiple provider gateways. Use when: (1) Generating videos from text descriptions, (2) Creating AI-generated video clips for…

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, sin…

Open-source Agent Skill that drives the BaoCut macOS app CLI (transcribe · subtitle · translate · cut) from Claude Code, Codex, and other agents

Create a consent-aware digital-avatar layer for AI video production with narration approval and final quality gates.

Generate topic-first, two-part video-title candidates from an approved video brief or final script.

Route a content idea through topic capture, research, production planning, publishing, and archive steps for a video content workspace.

Plan a practical long-form video with test prompts, recording structure, narration beats, screen-recording steps, and production handoff.

Render, preview, validate, and burn consistent production subtitles from quality-checked timestamp artifacts.

Create original editorial technology covers with a controlled layout, custom diagram generation, and editable SVG or PNG output.

Generate real-timestamp subtitle artifacts from final narration audio or merged video with a caption quality gate.

Turn creator performance data into a documented retrospective, grounded hypotheses, and reusable content learnings.