Emily2040

This skill should be used when creating, improving, or troubleshooting Seedance 2.0 video on any surface - Dreamina, Jimeng, CapCut, Doubao, Volcengine/Ark, BytePlus, Runway's Seedance route, fal, or third-party provider/router surfaces such as EvoLink, OpenRouter, Kie.ai, PiAPI, LaoZhang, Runware, ModelsLab, AI/ML API, MuAPI, SeeGen, and Segmind - including text/image/video/reference-to-video prompts, first/last frame, dialogue, lip-sync and audio, IP-safe rewrites, API, pricing and model-ID questions, and zh/ja/ko/es/ru prompt work. Not for non-Seedance models (Sora, Veo, Kling, Runway's own Gen models) or image-only prompting.

This skill should be used when the user wants a fast Seedance 2.0 creative brief, a short interview, a compressed intake flow, or a quick director-style clarification before prompt writing.

This skill should be used when the user wants creative guidance, story development, scene planning, or a director interview to turn a Seedance 2.0 idea into a production-ready prompt - adapting to users who have no idea yet, a rough concept, or precise professional direction in shots, lenses, and blocking.

This skill should be used when the user asks for Seedance 2.0 audio, dialogue, lip-sync, music, sound effects, ambience, beat-sync, audio-reference mapping, desync troubleshooting, or sound-driven visual timing.

This skill should be used when the user asks for camera movement, shot scale, lens feel, framing, one-take direction, dolly, pan, tilt, push-in, handheld, aerial, macro, or camera-transfer guidance for Seedance 2.0.

This skill should be used when the user asks for character consistency, character tags, identity lock, multi-character blocking, wardrobe continuity, hand safety, expression control, or likeness-sensitive character guidance.

This skill should be used when the user asks for Japanese Seedance 2.0 examples, Japanese prompt patterns, example rewrites, or safe versions of working Japanese video-generation prompts.

This skill should be used when the user asks for Korean Seedance 2.0 examples, Korean prompt patterns, example rewrites, or safe versions of working Korean video-generation prompts.

Convert analysis into stakeholder-ready insight narratives that state decisions, evidence, uncertainty, and recommended action without overclaiming. Use when an agent needs a judgment-heavy data science workflow for convert analysis into decision-grade narrative, including evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, Copilot, Cursor, Windsurf, Gravity, LangGraph, CrewAI, AutoGen, or local agents when this exact workflow is needed.

Help teams decide what can be learned responsibly from small, imbalanced, expensive, or scarce datasets. Use when an agent needs a judgment-heavy data science workflow for avoid overfitting scarce data, including evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, Copilot, Cursor, Windsurf, Gravity, LangGraph, CrewAI, AutoGen, or local agents when this exact workflow is needed.

Reconstruct practical lineage across SQL, notebooks, scripts, dashboards, model artifacts, and pipeline configs. Use when an agent needs a judgment-heavy data science workflow for rebuild lineage from sql, notebooks, and configs, including evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, Copilot, Cursor, Windsurf, Gravity, LangGraph, CrewAI, AutoGen, or local agents when this exact workflow is needed.

Convert data science prototypes into engineering-ready ML handoffs with contracts, artifacts, SLOs, monitoring, and ownership. Use when an agent needs a judgment-heavy data science workflow for turn prototypes into engineering handoffs, including evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, Copilot, Cursor, Windsurf, Gravity, LangGraph, CrewAI, AutoGen, or local agents when this exact workflow is needed.

Guide data science work on sensitive data using minimization, local-first analysis, de-identification, synthetic data, or privacy-preserving methods. Use when an agent needs a judgment-heavy data science workflow for choose safe analysis patterns for sensitive data, including evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, Copilot, Cursor, Windsurf, Gravity, LangGraph, CrewAI, AutoGen, or local agents when this exact workflow is needed.

Audit open-source packages, notebooks, model weights, datasets, licenses, and provenance used in data science work. Use when an agent needs a judgment-heavy data science workflow for audit ds dependencies, models, data, and licenses, including evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, Copilot, Cursor, Windsurf, Gravity, LangGraph, CrewAI, AutoGen, or local agents when this exact workflow is needed.

Convert exploratory notebooks into modular, parameterized scripts or orchestrated pipeline tasks. Use when an agent needs a judgment-heavy data science workflow for refactor notebooks into maintainable pipelines, including evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, Copilot, Cursor, Windsurf, Gravity, LangGraph, CrewAI, AutoGen, or local agents when this exact workflow is needed.

Package notebooks so another machine or teammate can reproduce their results with known data, environment, seeds, and order. Use when an agent needs a judgment-heavy data science workflow for make notebooks runnable elsewhere, including evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, Copilot, Cursor, Windsurf, Gravity, LangGraph, CrewAI, AutoGen, or local agents when this exact workflow is needed.

Model-aware image prompting for Nano Banana Pro and Nano Banana 2. Covers generation, editing, continuity, text-in-image, style routing, and structured JSON output.

Model-aware image prompt engineering for any agent or image generation workflow. Use when writing, improving, translating, debugging, or evaluating prompts for OpenAI image models, Gemini Nano Banana, Midjourney, FLUX, Qwen-Image, Z-Image, Stable Diffusion, SDXL, Pony, Illustrious, NoobAI, Animagine, HunyuanImage, HiDream, OmniGen2, Sana, PixArt, Kolors, Chroma, Runway, Ideogram, Firefly, Recraft, Luma, Seedream, ComfyUI, A1111, Forge, Civitai, Hugging Face Spaces, Replicate, or provider wrappers. Trigger on requests to create prompts, improve prompts, convert prompts between models, fix rejected prompts, reduce false positives, preserve references, render text, create character sheets, product images, fashion images, anime images, diagrams, infographics, posters, UI mockups, or any image generation task where model behavior matters.

Route to a portable frontend skill for grounded UI critique, page planning, component specs, and implementation guidance.

Use when a frontend request needs grounded UI critique, page planning, component specs, accessibility review, or implementation guidance without generic design filler.

Builds field maps from multi-source academic or technical corpora: expert mental models, debates, assumptions, prerequisites, oral-exam questions, and sprint study plans. Use for exam prep, research onboarding, or rapid topic mastery from multiple sources. Not for plain summaries or single short docs.

Plan, resume, verify, and safely parallelize substantial code work.

Use for WebGL2 renderer architecture, GLSL shader review, GPU profiling, FBO/postprocess pipeline design, context-loss runtime debugging, DPR/fill-rate optimization, visual regression, and WebGL-to-WebGPU migration planning.