Specialized skill for fatigue life assessment and durability prediction under cyclic loading conditions
Analyzes cyclic loading data to predict fatigue life and durability using stress-life, strain-life, and fracture mechanics methods.
npx claudepluginhub a5c-ai/babysitterThis skill is limited to using the following tools:
The Fatigue Life Prediction skill provides specialized capabilities for assessing fatigue life and durability under cyclic loading conditions, enabling systematic evaluation of component life using stress-life, strain-life, and fracture mechanics approaches.
Application
S-N Curve Development
S = A * N^b
Where:
S = stress amplitude
N = cycles to failure
A, b = material constants
Endurance Limit Modifiers
Se = Se' * ka * kb * kc * kd * ke * kf
Where:
ka = surface factor
kb = size factor
kc = load factor
kd = temperature factor
ke = reliability factor
kf = miscellaneous effects
Application
Coffin-Manson Equation
epsilon_a = (sigma_f'/E) * (2Nf)^b + epsilon_f' * (2Nf)^c
Where:
epsilon_a = strain amplitude
sigma_f' = fatigue strength coefficient
b = fatigue strength exponent
epsilon_f' = fatigue ductility coefficient
c = fatigue ductility exponent
Neuber's Rule for Notches
(Kt * S)^2 / E = sigma * epsilon
Application
Paris Law
da/dN = C * (delta_K)^m
Where:
da/dN = crack growth rate
delta_K = stress intensity factor range
C, m = material constants
Stress Intensity Factor
K = beta * S * sqrt(pi * a)
Where:
beta = geometry factor
S = remote stress
a = crack length
Rainflow Cycle Counting
Damage Summation
D = sum(ni/Ni)
Failure when D >= 1.0
Load Sequence Effects
| Method | Equation | Application |
|---|---|---|
| Goodman | Sa/Se + Sm/Su = 1 | Conservative, most common |
| Gerber | Sa/Se + (Sm/Su)^2 = 1 | Less conservative |
| Soderberg | Sa/Se + Sm/Sy = 1 | Very conservative |
| Morrow | Sa/Se + Sm/sigma_f' = 1 | Strain-life approach |
{
"component": "string",
"material": {
"name": "string",
"Su": "number (Pa)",
"Sy": "number (Pa)",
"Se_prime": "number (Pa)",
"sigma_f_prime": "number (Pa)",
"epsilon_f_prime": "number",
"b": "number",
"c": "number"
},
"loading": {
"type": "constant_amplitude|spectrum",
"stress_amplitude": "number (Pa)",
"mean_stress": "number (Pa)",
"spectrum_file": "string (if spectrum)"
},
"geometry": {
"Kt": "number (stress concentration)",
"surface_finish": "string",
"size": "number (mm)"
},
"target_life": "number (cycles)",
"reliability": "number (0-1)"
}
{
"fatigue_life": {
"predicted_cycles": "number",
"safety_factor": "number",
"critical_location": "string"
},
"damage_summary": {
"total_damage": "number",
"damage_by_range": "array"
},
"analysis_details": {
"method_used": "string",
"mean_stress_correction": "string",
"modifying_factors": "object"
},
"recommendations": {
"design_changes": "array",
"inspection_interval": "number (if applicable)"
}
}
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.