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Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
正在显示 SKILL.md
基于 SOC 职业分类
| name | workstation-layout-designer |
| description | Workstation and workspace layout design skill with ergonomic optimization. |
| allowed-tools | Bash(*) Read Write Edit Glob Grep WebFetch |
| metadata | {"author":"babysitter-sdk","version":"1.0.0","category":"ergonomics","backlog-id":"SK-IE-023"} |
| graph | {"domains":["domain:industrial-engineering"],"skillAreas":["skill-area:statistical-analysis","skill-area:organizational-design","skill-area:data-analysis"],"roles":["role:operations-analyst","role:research-engineer"]} |
You are workstation-layout-designer - a specialized skill for designing ergonomic workstations and workspace layouts.
This skill enables AI-powered workstation design including:
from dataclasses import dataclass
from typing import List, Dict
import math
@dataclass
class WorkItem:
name: str
frequency: str # "continuous", "frequent", "occasional", "rare"
size: tuple # (width, depth, height) in inches
weight: float # lbs
requires_precision: bool = False
def design_work_zones(forward_reach: float, shoulder_width: float):
"""
Design work zone layout based on anthropometric data
"""
zones = {
"primary": {
"description": "Most frequent use - within easy reach",
"radius": forward_reach * 0.4,
"arc": 30, # degrees from centerline
"height_optimal": "elbow height +/- 4 inches",
"items": "Continuous and frequent use items"
},
"secondary": {
"description": "Occasional use - within normal reach",
"radius": forward_reach * 0.65,
"arc": 60,
"height_optimal": "shoulder to elbow height",
"items": "Occasional use items"
},
"tertiary": {
"description": "Infrequent use - maximum reach",
"radius": forward_reach * 0.9,
"arc": 90,
"height_optimal": "any comfortable height",
"items": "Rarely used items"
},
"storage": {
"description": "Storage only - outside normal work",
"radius": forward_reach * 1.2,
"arc": 180,
"height_optimal": "not critical",
"items": "Storage, rarely accessed"
}
}
return zones
def assign_items_to_zones(items: List[WorkItem], zones: dict):
"""
Assign work items to appropriate zones
"""
assignments = {zone: [] for zone in zones}
for item in items:
if item.frequency == "continuous":
assignments["primary"].append(item)
elif item.frequency == "frequent":
assignments["primary"].append(item) if item.requires_precision else \
assignments["secondary"].append(item)
elif item.frequency == "occasional":
assignments["secondary"].append(item)
else:
assignments["tertiary"].append(item)
return assignments
def optimize_tool_placement(tools: List[WorkItem], work_area_width: float,
work_area_depth: float, dominant_hand: str = "right"):
"""
Optimize placement of tools in work area
"""
placements = []
# Sort by frequency
sorted_tools = sorted(tools,
key=lambda t: ["continuous", "frequent", "occasional", "rare"].index(t.frequency))
# Primary zone dimensions
primary_width = work_area_width * 0.4
primary_depth = work_area_depth * 0.3
x_position = 0 if dominant_hand == "right" else work_area_width
direction = 1 if dominant_hand == "right" else -1
current_x = work_area_width / 2
current_y = work_area_depth * 0.2 # Near front edge
for tool in sorted_tools:
if tool.frequency in ["continuous", "frequent"]:
# Place in primary zone
zone = "primary"
y = current_y
x = current_x
current_x += (tool.size[0] + 2) * direction # Add spacing
elif tool.frequency == "occasional":
zone =
y = work_area_depth *
x = current_x
:
zone =
y = work_area_depth *
x = current_x
placements.append({
: tool.name,
: (x, ),
: (y, ),
: zone,
: tool.weight >
})
placements
def design_visual_layout(viewing_distance: float, task_type: str):
"""
Design layout considering visual requirements
task_type: "precision", "inspection", "monitoring", "general"
"""
visual_specs = {
"precision": {
"viewing_distance_inches": (10, 16),
"viewing_angle_down": (15, 35),
"illumination_lux": (500, 1000),
"display_tilt": "15-20 degrees toward user",
"notes": "May require task lighting and magnification"
},
"inspection": {
"viewing_distance_inches": (14, 20),
"viewing_angle_down": (15, 30),
"illumination_lux": (750, 1500),
"display_tilt": "Perpendicular to line of sight",
"notes": "Avoid glare on inspected surfaces"
},
"monitoring": {
"viewing_distance_inches": (20, 28),
"viewing_angle_down": (0, 20),
"illumination_lux": (300, 500),
"display_tilt": "Top tilted slightly away",
:
},
: {
: (, ),
: (, ),
: (, ),
: ,
:
}
}
specs = visual_specs.get(task_type, visual_specs[])
visual_cone = {
: ,
: ,
:
}
{
: specs,
: visual_cone,
: generate_visual_layout_guidance(specs, visual_cone)
}
():
[
,
,
,
,
]
def design_workstation(task_characteristics: dict, duration_hours: float):
"""
Design workstation based on task and duration
task_characteristics:
- precision_required: bool
- force_required: bool
- mobility_required: bool
- visual_demands: str ("high", "medium", "low")
"""
recommendations = {
"posture": None,
"work_surface_height": None,
"chair_specifications": None,
"standing_mat": False,
"sit_stand_option": False
}
# Determine posture
if task_characteristics.get('precision_required') and duration_hours > 2:
recommendations["posture"] = "seated"
recommendations["reason"] = "Precision work benefits from stable seated posture"
elif task_characteristics.get('force_required'):
recommendations["posture"] = "standing"
recommendations["reason"] = "Force tasks benefit from standing to use body weight"
elif task_characteristics.get('mobility_required'):
recommendations["posture"] = "standing"
recommendations["reason"] = "Mobility needs favor standing"
elif duration_hours > 4:
recommendations["sit_stand_option"] = True
recommendations[] =
recommendations[] =
:
recommendations[] =
recommendations[] =
recommendations[] == :
recommendations[] = {
: ,
: (, ),
:
}
recommendations[] = {
: (, ),
: (, ),
: ,
:
}
recommendations[] == :
recommendations[] = {
: ,
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}
recommendations[] =
recommendations[] =
:
recommendations[] = {
: (, ),
:
}
recommendations[] = {
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}
recommendations[] =
recommendations
def specify_adjustable_workstation(user_population: str, task_type: str):
"""
Create specification for adjustable workstation
user_population: "single_user", "multi_user", "general"
"""
specifications = {
"work_surface": {
"width_inches": 60,
"depth_inches": 30,
"height_range_inches": (24, 48) if user_population != "single_user" else (26, 32),
"adjustment_mechanism": "Electric" if user_population == "multi_user" else "Manual crank",
"memory_positions": 3 if user_population == "multi_user" else 0,
"load_capacity_lbs": 150
},
"monitor_arm": {
"height_range_inches": (4, 16),
"depth_range_inches": (4, 20),
"tilt_range_degrees": (-90, 90),
"swivel_range_degrees": 360,
"weight_capacity_lbs": 25
},
"keyboard_tray": {
: ,
: (-, ),
: (-, ),
: (-, )
},
: {
: (, ),
: ,
: ,
: ,
:
}
}
task_type == :
specifications[][] =
specifications[] = {
: ,
: ,
:
}
task_type == :
specifications[][] =
specifications[] =
specifications
def generate_layout_specification(workstation_design: dict, items: List[WorkItem]):
"""
Generate textual layout specification for CAD or drawing
"""
layout = {
"drawing_title": "Workstation Layout",
"dimensions": {
"overall_width": workstation_design.get("width", 60),
"overall_depth": workstation_design.get("depth", 30),
"work_surface_height": workstation_design.get("height", 29)
},
"zones": [],
"item_placements": [],
"annotations": []
}
# Add zone boundaries
zones = design_work_zones(24, 18) # Default reach dimensions
for zone_name, zone_data in zones.items():
layout["zones"].append({
"name": zone_name,
"type": "arc",
"radius": zone_data["radius"],
"angle": zone_data["arc"],
"style": "dashed"
})
# Add item placements
placements = optimize_tool_placement(items, 60, 30)
for placement in placements:
layout["item_placements"].append({
"name": placement[],
: (placement[], placement[]),
:
})
layout[] = [
{: , : (, )},
{: , : (, )},
{: , : (, ), : }
]
layout
This skill integrates with the following processes:
workstation-design-optimization.js5s-workplace-organization-implementation.js{
"workstation_type": "Seated Adjustable",
"work_surface": {
"dimensions": {"width": 60, "depth": 30},
"height_range": [24, 32]
},
"zones": {
"primary_radius": 9.6,
"secondary_radius": 15.6
},
"item_placements": [
{"item": "Keyboard", "x": 30, "y": 6, "zone":