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ZIP herunterladen Herunterladen... Mehr aus diesem Repository 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)
assimilate-popular-workflows 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/.
Verwandte Berufe SOC
Basierend auf der SOC-Berufsklassifikation
name anthropometric-analyzer description Anthropometric data analysis skill for workstation design and accommodation. allowed-tools Bash(*) Read Write Edit Glob Grep WebFetch metadata {"author":"babysitter-sdk","version":"1.0.0","category":"ergonomics","backlog-id":"SK-IE-022"} 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"]}
anthropometric-analyzer
You are anthropometric-analyzer - a specialized skill for using anthropometric data to design accommodating workspaces.
Overview
This skill enables AI-powered anthropometric analysis including:
Percentile calculations for design decisions
Reach zone determination
Work surface height recommendations
Clearance dimension calculations
Adjustability range specification
Population accommodation analysis
Design for 5th to 95th percentile
Multi-population considerations
Capabilities
1. Anthropometric Data Reference
"stature"
"male"
"5th"
64.0
"50th"
69.1
"95th"
74.4
"female"
"5th"
59.0
"50th"
63.8
"95th"
68.5
"sitting_height"
"male"
"5th"
33.5
"50th"
35.7
"95th"
38.0
"female"
"5th"
31.1
"50th"
33.5
"95th"
35.6
"eye_height_sitting"
"male"
"5th"
28.7
"50th"
31.0
"95th"
33.3
"female"
"5th"
26.6
"50th"
28.9
"95th"
31.2
"shoulder_height_sitting"
"male"
"5th"
21.3
"50th"
23.3
"95th"
25.5
"female"
"5th"
19.5
"50th"
21.5
"95th"
23.6
"elbow_height_sitting"
"male"
"5th"
7.4
"50th"
9.2
"95th"
11.0
"female"
"5th"
6.8
"50th"
8.5
"95th"
10.2
"thigh_clearance"
"male"
"5th"
5.2
"50th"
6.0
"95th"
7.0
"female"
"5th"
4.8
"50th"
5.7
"95th"
6.8
"knee_height_sitting"
"male"
"5th"
19.3
"50th"
21.4
"95th"
23.4
"female"
"5th"
17.8
"50th"
19.6
"95th"
21.4
"popliteal_height"
"male"
"5th"
15.5
"50th"
17.3
"95th"
19.1
"female"
"5th"
14.0
"50th"
15.7
"95th"
17.5
"buttock_knee_length"
"male"
"5th"
21.4
"50th"
23.4
"95th"
25.4
"female"
"5th"
20.5
"50th"
22.4
"95th"
24.4
"buttock_popliteal_length"
"male"
"5th"
17.3
"50th"
19.2
"95th"
21.1
"female"
"5th"
16.7
"50th"
18.5
"95th"
20.4
"forward_reach"
"male"
"5th"
29.5
"50th"
32.6
"95th"
35.7
"female"
"5th"
26.3
"50th"
29.2
"95th"
32.1
"shoulder_breadth"
"male"
"5th"
16.7
"50th"
18.3
"95th"
19.9
"female"
"5th"
14.5
"50th"
16.0
"95th"
17.6
"hip_breadth_sitting"
"male"
"5th"
12.6
"50th"
14.2
"95th"
16.1
"female"
"5th"
13.0
"50th"
15.0
"95th"
17.4
def
get_anthropometric_value
dimension: str , percentile: str ,
gender: str = "combined"
"""
Get anthropometric value for a dimension
"""
if
"combined"
"male"
"female"
return
2
else
return
2. Design for Percentile Population def design_for_percentile (dimension: str , design_type: str , gender: str = "combined" ):
"""
Recommend design dimension based on type of design
design_type:
- "reach": Use 5th percentile (shortest reach)
- "clearance": Use 95th percentile (largest dimension)
- "adjustable": Provide range 5th to 95th
"""
if design_type == "reach" :
value = get_anthropometric_value(dimension, "5th" , gender)
explanation = "Design to 5th percentile to accommodate shortest reach"
elif design_type == "clearance" :
value = get_anthropometric_value(dimension, "95th" , gender)
explanation = "Design to 95th percentile to accommodate largest users"
elif design_type == "adjustable" :
low = get_anthropometric_value(dimension, "5th" , gender)
high = get_anthropometric_value(dimension, "95th" , gender)
value = {"min" : low, "max" : high}
explanation = "Provide adjustability from 5th to 95th percentile"
else :
value = get_anthropometric_value(dimension, "50th" , gender)
explanation = "Using 50th percentile (average)"
return {
"dimension" : dimension,
"design_type" : design_type,
"value" : value,
"unit" : "inches" ,
"explanation" : explanation
}
3. Reach Zone Determination def calculate_reach_zones (forward_reach: float , shoulder_height: float ):
"""
Calculate primary, secondary, and tertiary reach zones
"""
return {
"primary_zone" : {
"description" : "Frequent reaching, most comfortable" ,
"horizontal_radius" : forward_reach * 0.4 ,
"height_range" : {
"min" : shoulder_height * 0.7 ,
"max" : shoulder_height * 1.1
},
"angle" : "0-15 degrees from centerline"
},
"secondary_zone" : {
"description" : "Occasional reaching" ,
"horizontal_radius" : forward_reach * 0.6 ,
"height_range" : {
"min" : shoulder_height * 0.5 ,
"max" : shoulder_height * 1.2
},
"angle" : "15-45 degrees from centerline"
},
"tertiary_zone" : {
"description" : "Infrequent reaching only" ,
"horizontal_radius" : forward_reach * 0.9 ,
"height_range" : {
"min" : shoulder_height * 0.3 ,
"max" : shoulder_height * 1.4
},
"angle" : "45-90 degrees from centerline"
}
}
def recommend_item_placement (item_frequency: str , worker_gender: str = "combined" ):
"""
Recommend placement based on frequency of use
"""
forward_reach = get_anthropometric_value("forward_reach" , "5th" , worker_gender)
shoulder_height = get_anthropometric_value("shoulder_height_sitting" , "50th" , worker_gender)
zones = calculate_reach_zones(forward_reach, shoulder_height)
if item_frequency == "frequent" :
zone = "primary_zone"
elif item_frequency == "occasional" :
zone = "secondary_zone"
else :
zone = "tertiary_zone"
return {
"recommended_zone" : zone,
"zone_details" : zones[zone],
"design_note" : f"Place within {zones[zone]['horizontal_radius' ]:.1 f} inches horizontal reach"
}
4. Work Surface Height Recommendations def recommend_work_surface_height (task_type: str , posture: str = "sitting" ,
worker_gender: str = "combined" ):
"""
Recommend work surface height based on task type
task_type: "precision", "light_assembly", "heavy_work"
posture: "sitting" or "standing"
"""
if posture == "sitting" :
elbow_height = get_anthropometric_value("elbow_height_sitting" , "50th" , worker_gender)
seat_height = get_anthropometric_value("popliteal_height" , "50th" , worker_gender)
base_height = seat_height + elbow_height
adjustments = {
"precision" : {
"adjustment" : +4 ,
"range" : (base_height + 2 , base_height + 6 ),
"reason" : "Higher for visual tasks requiring close work"
},
"light_assembly" : {
"adjustment" : 0 ,
"range" : (base_height - 2 , base_height + 2 ),
"reason" : "At elbow height for typical hand work"
},
"heavy_work" : {
"adjustment" : -4 ,
"range" : (base_height - 6 , base_height - 2 ),
"reason" : "Below elbow to use body weight"
}
}
else :
stature = get_anthropometric_value("stature" , "50th" , worker_gender)
elbow_height = stature * 0.63
adjustments = {
"precision" : {
"adjustment" : +4 ,
"range" : (elbow_height + 2 , elbow_height + 6 ),
"reason" : "Higher for visual precision tasks"
},
"light_assembly" : {
"adjustment" : -2 ,
"range" : (elbow_height - 4 , elbow_height),
"reason" : "Slightly below elbow for standing work"
},
"heavy_work" : {
"adjustment" : -8 ,
"range" : (elbow_height - 10 , elbow_height - 6 ),
"reason" : "Well below elbow for force application"
}
}
task_adjustment = adjustments.get(task_type, adjustments["light_assembly" ])
recommended_height = (elbow_height if posture == "standing"
else seat_height + elbow_height) + task_adjustment["adjustment" ]
return {
"task_type" : task_type,
"posture" : posture,
"recommended_height" : round (recommended_height, 1 ),
"adjustable_range" : task_adjustment["range" ],
"reason" : task_adjustment["reason" ],
"unit" : "inches"
}
5. Clearance Calculations def calculate_clearances (posture: str = "sitting" , worker_gender: str = "combined" ):
"""
Calculate minimum clearance dimensions
"""
if posture == "sitting" :
clearances = {
"vertical_clearance_under_surface" : {
"minimum" : get_anthropometric_value("thigh_clearance" , "95th" , worker_gender) +
get_anthropometric_value("popliteal_height" , "95th" , worker_gender) + 2 ,
"dimension" : "From floor to underside of work surface" ,
"percentile_used" : "95th" ,
"reason" : "Accommodate largest thigh + knee height"
},
"knee_room_depth" : {
"minimum" : get_anthropometric_value("buttock_knee_length" , "95th" , worker_gender) + 2 ,
"dimension" : "Depth for knees under surface" ,
"percentile_used" : "95th"
},
"seat_width" : {
"minimum" : get_anthropometric_value("hip_breadth_sitting" , "95th" , worker_gender) + 2 ,
"dimension" : "Seat pan width" ,
"percentile_used" : "95th"
},
"passage_width" : {
"minimum" : get_anthropometric_value("shoulder_breadth" , "95th" , "male" ) + 4 ,
"dimension" : "Width for passage/egress" ,
"percentile_used" : "95th male"
}
}
else :
clearances = {
"overhead_clearance" : {
"minimum" : get_anthropometric_value("stature" , "95th" , "male" ) + 4 ,
"dimension" : "Floor to overhead obstruction" ,
"percentile_used" : "95th male"
},
"work_aisle_width" : {
"minimum" : 28 ,
"dimension" : "Width for single-person passage" ,
"standard" : "OSHA"
},
"two_way_aisle_width" : {
"minimum" : 44 ,
"dimension" : "Width for two-way traffic" ,
"standard" : "OSHA"
}
}
return clearances
6. Adjustability Range Calculation def calculate_adjustability_range (dimension: str , accommodation_level: float = 0.90 ):
"""
Calculate required adjustability range to accommodate population percentage
accommodation_level: 0.90 for 90% (5th-95th), 0.95 for 95% (2.5th-97.5th)
"""
male_5th = ANTHROPOMETRIC_DATA[dimension]["male" ]["5th" ]
male_95th = ANTHROPOMETRIC_DATA[dimension]["male" ]["95th" ]
female_5th = ANTHROPOMETRIC_DATA[dimension]["female" ]["5th" ]
female_95th = ANTHROPOMETRIC_DATA[dimension]["female" ]["95th" ]
population_min = min (female_5th, male_5th)
population_max = max (female_95th, male_95th)
male_sd = (male_95th - male_5th) / 3.29
female_sd = (female_95th - female_5th) / 3.29
return {
"dimension" : dimension,
"accommodation_level" : f"{accommodation_level * 100 } %" ,
"required_range" : {
"min" : round (population_min, 1 ),
"max" : round (population_max, 1 )
},
"adjustment_span" : round (population_max - population_min, 1 ),
"male_range" : {"5th" : male_5th, "95th" : male_95th},
"female_range" : {"5th" : female_5th, "95th" : female_95th},
"design_recommendation" : f"Provide adjustment from {population_min:.1 f} to {population_max:.1 f} inches"
}
Process Integration This skill integrates with the following processes:
workstation-design-optimization.jsergonomic-risk-assessment.js
Output Format {
"design_type" : "Seated Workstation" ,
"work_surface_height" : {
"recommended" : 28.5 ,
"adjustable_range" : [ 26 , 31 ] ,
"unit" : "inches"
} ,
"reach_zones" : {
"primary_radius" : 11.8 ,
"secondary_radius" : 17.7
} ,
"clearances" : {
"under_surface" : 25.5 ,
"knee_depth" : 27.4
} ,
"accommodation" : "90% of mixed population"
}
Best Practices
Know your population - Use appropriate dataDesign for adjustability - When feasibleUse correct percentiles - Reach=5th, Clearance=95thAdd margins - Include safety buffersConsider clothing/PPE - May add to dimensionsValidate with users - Test with actual workers
Constraints
Data varies by population
Static dimensions may not reflect dynamic use
Consider individual accommodations when needed
