viz-lab
Build best-in-class, real-data-grounded visualizations of YURI's own systems — energy/ΔU surfaces, quantum Q-spheres, circuitry graphs (2D edge-bundling + 3D die), telemetry cockpits, embedding atlases. Use when the task is to visualize, depict, render, or make interactive any YURI math / quantum / graph / telemetry data, build a 3D / WebGL / three.js / react-three-fiber or D3 visualization, turn a flat view into 3D, or prototype a viz before wiring it into the app. Triggers: visualize, viz, visualization, 3D, WebGL, three.js, D3, surface, graph, chart, dashboard, Q-sphere, edge bundling, make this 3D.
- License 许可
- MIT
- 最近更新
- 2026-11-11
- Stars
- ★ 2
- Forks
- 0
01 前言 Front Matter
- name
- viz-lab
- description
- Build best-in-class, real-data-grounded visualizations of YURI's own systems — energy/ΔU surfaces, quantum Q-spheres, circuitry graphs (2D edge-bundling + 3D die), telemetry cockpits, embedding atlases. Use when the task is to visualize, depict, render, or make interactive any YURI math / quantum / graph / telemetry data, build a 3D / WebGL / three.js / react-three-fiber or D3 visualization, turn a flat view into 3D, or prototype a viz before wiring it into the app. Triggers: visualize, viz, visualization, 3D, WebGL, three.js, D3, surface, graph, chart, dashboard, Q-sphere, edge bundling, make this 3D.
02 资源文件 1
- 参考文档agents/openai.yaml82 B
03 SKILL.md 正文
<!-- GENERATED:YURI-CODEX-SKILL-ADAPTER:v1 -->
YURI skill adapter
Authoritative source: skills/viz-lab/SKILL.md
Authoritative source SHA-256: afe0955552b8daf3e20ed2c2c8f4f07abeb4855d18e00dc491a7d64173e6a4ea
Source class: canonical
Before acting, read the authoritative source file above completely from beginning to end. If the governed source is absent, run node _SYSTEM/Scripts/skill-recall.mjs --show viz-lab and read its complete verified output. Follow that source as the skill body; this adapter is a non-authoritative metadata-and-pointer projection.
04 同仓库更多 Skills
zoom-out
Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.
yuri-shura
6-perspective adversarial review for high-stakes turns (architecture decisions, refactor planning, deployment review) — fans out architect, adversary (7-vector attack), maintainer, ops, product, and security perspectives in parallel, then consolidates. Use when user says 'review this decision', '/shura', 'adversarial review', 'what could go wrong', 'architecture review', or 'deployment review'.
yuri-sales-intelligence
Unified sales and outreach skill generating cold outreach openers, social selling sequences, objection rebuttals, and ad creative for any paid platform — multi-persona aware, adapting tone and offer frame to buyer type. Use when user says 'write a cold email', 'outreach sequence', 'objection handling', 'ad copy', or 'sales pitch'.
yuri-code-intelligence
Unified code quality intelligence layer that diagnoses code smells (Long Method, Feature Envy, design pattern issues), prescribes targeted Fowler refactoring techniques, and reviews code for security, performance, and clarity. Use when user says 'review this code', 'refactor this', 'what's wrong with this method', 'code smells', or 'clean this up'.
yuri-adw
Invoke when user asks to run the ADW loop / agentic engineering loop / software factory workflow.
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment