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Create a framed dark technical design system with border-gradient shells, asymmetrical grid panels, mono utility labeling, and restrained monochrome atmosphere.

Create a dark container-led technical design system with fuchsia-purple accents, layered rounded shells, crisp frame lines, and playful futuristic focal objects.

Create a dark glass design system with frosted shells, soft beam grids, circular clock-like calibration dials, and precise sci-fi instrument framing.

Build cinematic sticky product storytelling with GSAP ScrollTrigger, progressive UI reveals, scroll-synced animation, smooth interpolation, and immersive section transitions.

Create a high-contrast clean skeuomorphic design system with molded dark surfaces, crisp light separation, tactile inset depth, and restrained signal accents.

Create an image-led grid design system with full-bleed photography, structural guide lines, anchored content blocks, and restrained technical overlays.

Create a light-mode technical design system with warm paper surfaces, dark outer framing, subtle diagonal texture, precise bracketed geometry, and restrained accent signals.

Create a clean agency design system built from nested containers, with an outer editorial shell, inset dark feature blocks, rounded premium cards, and restrained accent color.

Create a clean paper-toned SaaS design system with warm neutrals, orange accent signals, rounded premium forms, and polished product illustration surfaces.

Create or redesign SaaS and AI product landing pages where a real workflow, interface, or deterministic demo is the central proof. Use for pale atmospheric shells, product UI in the hero, prompt-to-output stories, audience tabs, compact feature modules, honest pricing comparisons, and FAQ handoffs.

对两类分类数据进行对比分析，统计数量差异与比例关系并生成可视化图表。

根据文件行数动态切换大文件处理策略（Parquet转换），通过逐行扫描或列匹配提取关键指标并计算占比、均值等统计量，最终输出结构化Excel报告及可视化图表。

读取多 Sheet Excel 文件，根据数据量动态选择处理策略，支持特定区域数据提取、大文件 Parquet 转换、统计分析及可视化图表生成。

Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp.

Generate multiple radically different interface designs for a module using parallel sub-agents

This skill covers structural econometric models

Execute research implementation plans efficiently while maintaining estimation quality and finishing features

Distribute global skills across Codex, Claude Code, Pi, Hermes, and Cursor. Use for "distribute this skill", "sync skills across agents", or after creating or updating a global skill.

Analyze and optimize React component performance issues (slow renders, re-render thrash, laggy lists, expensive computations)

Install or repair the FoundationPose perception pipeline and build its FoundationStereo TensorRT engines. Use for SAM3/TAO dependency conflicts, CUDA library failures, and depth-engine shape or precision decisions.

Design new Claude skills from structured idea specifications

Plan or coordinate CCF research stages, goals, gates, artifacts, and ccfa.yaml state. Use for 任务拆解, 流程规划, project status, end-to-end coordination, and explicitly requested autonomous research, autoresearch, or 自主科研迭代.

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS…