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physics-rendering-expert物理渲染专家

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

2,396

周安装

96

GitHub Stars

98

下载量

776
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:physics-rendering-expert(物理渲染专家)
来源仓库:https://github.com/erichowens/some_claude_skills
仓库路径:skills/physics-rendering-expert
安装命令:
npx skills add https://github.com/erichowens/some_claude_skills --skill physics-rendering-expert
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/erichowens/some_claude_skills --skill physics-rendering-expert

简介

用于辅助安全审计、权限检查、凭据风险识别和认证流程分析。

  • 适合梳理敏感配置、检查依赖风险或生成安全复核清单等场景。
  • 不能将工具输出直接作为最终结论,涉及密钥或生产系统时应先确认最小权限。
  • 建议在测试环境验证后再应用于实际系统,避免误操作导致服务中断。
  • physics-rendering-expert 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Physics & Rendering Expert: Rope Dynamics & Constraint Solving

Expert in computational physics for real-time rope/cable dynamics, constraint solving, and physically-based simulations.

When to Use This Skill

Use for:

  • Real-time rope/cable/chain simulation (leashes, climbing ropes)
  • Position-Based Dynamics (PBD) implementation
  • Constraint solvers (Gauss-Seidel, Jacobi)
  • Quaternion/dual-quaternion rotation math
  • Verlet integration for particle systems
  • Tangle detection (multi-rope collisions)

Do NOT use for:

  • Fluid dynamics → specialized SPH/MPM solvers
  • Fracture simulation → requires FEM or MPM
  • Offline cinematic physics → different constraints
  • Unity/Unreal physics → use built-in systems

Expert vs Novice Shibboleths

TopicNoviceExpert
Constraint approachUses spring forces (F=ma)Uses PBD (directly manipulates positions)
Why PBD"Springs work fine"Springs require tiny timesteps; PBD is unconditionally stable
Solver choice"Just iterate until done"Gauss-Seidel for chains, Jacobi for GPU
Iterations20+ iterations5-10 is optimal; diminishing returns after
RotationUses Euler anglesUses quaternions (no gimbal lock)
IntegrationForward EulerVerlet (symplectic, energy-conserving)

Common Anti-Patterns

Force-Based Springs for Stiff Constraints

What it looks likeWhy it's wrong
force = k * (distance - rest_length) with high kHigh k requires tiny dt for stability; low k gives squishy ropes
Instead: Use PBD - directly move particles to satisfy constraints

Euler Angles for Rotation

What it looks likeWhy it's wrong
rotation = vec3(pitch, yaw, roll)Gimbal lock at 90° pitch; unstable composition
Instead: Use quaternions - 4 numbers, no gimbal lock, stable SLERP

Over-Iteration

What it looks likeWhy it's wrong
solver_iterations = 50Diminishing returns after 5-10; wastes cycles
Instead: Use 5-10 iterations; if more needed, use XPBD compliance

Single-Threaded Gauss-Seidel for Large Systems

What it looks likeWhy it's wrong
Gauss-Seidel on 1000+ constraintsGauss-Seidel is inherently sequential
Instead: Use Jacobi solver for GPU parallelization

Quick Reference

Why PBD Beats Force-Based Physics

  • Unconditionally stable (large timesteps OK)
  • Direct control over constraint satisfaction
  • No spring constants to tune
  • Predictable behavior

Solver Choice

SolverParallelizableConvergenceUse Case
Gauss-SeidelNoFastChains, ropes
JacobiYes (GPU)SlowerLarge meshes, cloth

Rotation Representation

  • 3D rotation → Quaternion (never Euler)
  • Rotation + translation → Dual quaternion
  • Skinning/blending → Dual quaternion (no candy-wrapper artifact)

Performance Targets

SystemBudgetNotes
Single rope (100 particles)<0.5ms5 iterations sufficient
Three-dog leash (60 particles)<0.7msInclude tangle detection
Cloth (1000 particles)<2msUse Jacobi on GPU

Evolution Timeline

EraKey Development
Pre-2006Mass-spring systems, stability issues
2006-2015PBD introduced (Müller et al.), unconditional stability
2016-2020XPBD adds compliance for soft constraints
2021-2024ALEM (2024 SIGGRAPH), BDEM, neural physics
2025+XPBD standard, hybrid CPU/GPU, learned corrections

Decision Trees

Choosing constraint solver:

  • Sequential structure (rope/chain)? → Gauss-Seidel
  • Large parallel system (cloth/hair)? → Jacobi (GPU)
  • Need soft constraints? → XPBD with compliance

Choosing integration:

  • Position-only needed? → Basic Verlet
  • Need velocity for forces? → Velocity Verlet
  • High accuracy required? → RK4 (but PBD usually sufficient)

Integrates With

  • metal-shader-expert - GPU compute shaders for Jacobi solver
  • native-app-designer - Visualization and debugging UI

Reference Files

FileContents
references/core-algorithms.mdPBD loop, Verlet, quaternions, solver implementations
references/tangle-physics.mdMulti-rope collision, Capstan friction, TangleConstraint

Remember: Real-time physics is about stability and visual plausibility, not physical accuracy. PBD with 5-10 iterations at 60fps looks great and runs fast.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

27.69%
按下载量换算215

Antigravity

23.09%
按下载量换算179

windsurf

16.69%
按下载量换算130

Codex

11.31%
按下载量换算88

OpenCode

6.92%
按下载量换算54

Gemini CLI

3.08%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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