Atlas / Skills / brycewang-stanford / Architecture Design Guide

Architecture Design GuideSAFE

skills/brycewang-stanford/architecture-design-guide

🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
1 documented
License
NOASSERTION
Stars
4,535
01

Overview

🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.

Read from source at commit e1ba289846fdOBSERVED · 2026-10-08
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
openclawmentioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: architecture-design-guide
description: "Design principles of form, function, sustainability in architecture"
metadata:
  openclaw:
    emoji: "🏗️"
    category: "domains"
    subcategory: "business"
    keywords: ["architecture", "design", "sustainability", "urban planning", "BIM", "parametric design"]
    source: "wentor-research-plugins"
---

# Architecture Design Guide

## Overview

Architectural research spans the technical, aesthetic, social, and environmental dimensions of the built environment. From structural engineering and building physics to urban theory and computational design, the discipline demands integration across multiple domains. Academic architecture research increasingly focuses on sustainability, computational methods, and evidence-based design -- areas where rigorous methodology is essential.

This guide covers the core principles that inform architectural research: the interplay of form and function, structural logic, environmental performance, and human experience. It also addresses the computational tools (BIM, parametric design, simulation) that have transformed how architects investigate and validate design decisions.

Whether you are conducting research on building performance, urban morphology, computational design methods, or the social impact of built environments, this guide provides the frameworks and tools to ground your work in established architectural theory and current best practices.

## Fundamental Design Principles

### The Vitruvian Triad (Updated)

```
Classical framework (Vitruvius, 1st century BCE):

FIRMITAS (Structural Integrity)
- Structural systems: load paths, material behavior, safety factors
- Building physics: thermal, acoustic, moisture performance
- Durability: service life, maintenance, resilience to hazards
- Modern addition: seismic, wind, and climate resilience

UTILITAS (Function)
- Program: spatial organization, adjacency requirements
- Circulation: movement patterns, wayfinding, accessibility
- Flexibility: adaptability to changing uses over time
- Modern addition: Universal design, inclusive environments

VENUSTAS (Delight)
- Proportion, rhythm, scale, materiality
- Light: natural and artificial, atmosphere, perception
- Cultural meaning: symbolism, context, identity
- Modern addition: Biophilic design, multisensory experience

Contemporary additions:
SUSTAINABILITY (since 1990s)
- Energy performance, carbon footprint, resource efficiency
- Lifecycle assessment, circular economy principles
- Passive strategies, renewable energy integration

SOCIAL RESPONSIBILITY (since 2000s)
- Equity, community engagement, participatory design
- Affordable housing, public space, social infrastructure
- Post-occupancy evaluation, evidence-based design
```

### Design Thinking Process

| Phase | Activities | Outputs |
|-------|-----------|---------|
| Research | Site analysis, precedent study, user research | Brief, program, constraints |
| Concept | Parti development, diagramming, massing | Concept diagrams, parti models |
| Schematic Design | Spatial organization, form development | Floor plans, sections, elevations |
| Design Development | Material selection, systems integration | Detailed drawings, specifications |
| Documentation | Construction documents, specifications | Building permit package |
| Post-Occupancy | Performance monitoring, user satisfaction | POE report, design feedback |

## Structural Systems

### Structural Logic for Researchers

```
Primary structural systems and their research applications:

FRAME STRUCTURES
- Material: Steel, reinforced concrete, timber
- Behavior: Moment-resisting frames, braced frames
- Research topics: Connection design, progressive collapse,
  fire resistance, seismic performance

SHELL STRUCTURES
- Types: Vaults, domes, hyperbolic paraboloids
- Behavior: Membrane forces (compression/tension), minimal bending
- Research topics: Form-finding, buckling, computational geometry
- Key method: Thrust network analysis (Block, 2009)

TENSILE STRUCTURES
- Types: Cable-stayed, membrane, tensegrity
- Behavior: Pure tension, anticlastic curvature
- Research topics: Form-finding, wind loading, material durability
- Key method: Dynamic relaxation, force density method

MASS TIMBER
- Types: CLT (cross-laminated timber), glulam, mass plywood
- Behavior: Orthotropic, fire charring provides structural reserve
- Research topics: Tall timber buildings, connections, moisture
- Growing field: embodied carbon advantages over concrete/steel
```

### Structural Analysis Methods

```python
# Simple structural analysis for research
# Finite element analysis using Python (for educational purposes)

import numpy as np

def analyze_simply_supported_beam(
    length: float,       # meters
    load: float,         # kN/m (uniform distributed load)
    E: float,            # Young's modulus (GPa)
    I: float,            # Moment of inertia (mm^4)
    n_elements: int = 20,
) -> dict:
    """
    Analyze a simply supported beam under uniform load.
    Returns deflection, moment, and shear diagrams.
    """
    x = np.linspace(0, length, n_elements + 1)
    dx = length / n_elements

    # Analytical solutions
    # Maximum moment: wL^2/8
    max_moment = load * length**2 / 8  # kN-m

    # Moment diagram: M(x) = (w*x/2)*(L-x)
    moment = (load * x / 2) * (length - x)

    # Shear diagram: V(x) = w*(L/2 - x)
    shear = load * (length / 2 - x)

    # Deflection: delta(x) = (w*x)/(24*E*I) * (L^3 - 2*L*x^2 + x^3)
    E_pa = E * 1e9  # Convert GPa to Pa
    I_m4 = I * 1e-12  # Convert mm^4 to m^4
    w_nm = load * 1e3  # Convert kN/m to N/m
    deflection = (w_nm * x) / (24 * E_pa * I_m4) * (
        length**3 - 2 * length * x**2 + x**3
    )
    max_deflection = 5 * w_nm * length**4 / (384 * E_pa * I_m4)

    return {
        "x": x,
        "moment_kNm": moment,
        "shear_kN": shear,
        "deflection_mm": deflection * 1000,
        "max_moment_kNm": max_moment,
        "max_deflection_mm": max_deflection * 1000
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha e1ba289846fdfull audit observations/trust-audit/skill/brycewang-stanford__architecture-design-guide.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-08e1ba289846fdSAFEB89first audit
06

Questions

What does the Architecture Design Guide skill do?

🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.

Is Architecture Design Guide safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Architecture Design Guide access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Architecture Design Guide work with?

Its documentation mentions openclaw. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (e1ba289846fd), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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