SkillsLib.ai

Suspension Tuning Optimization Assistant

Analyze suspension data to generate balanced ride and handling tuning recommendations

3.7(9 reviews)
10+ downloads
Updated Sep 2026
Verified SafeSecurity VerifiedThis skill was analyzed by our AI security scanner for harmful content including data exfiltration, system manipulation, credential theft, and prompt injection. No threats were detected.

What You Can Do

You input suspension parameters, test telemetry, and handling feedback to receive structured tuning analysis that identifies root causes—not just symptoms. This skill synthesizes vehicle dynamics principles with real data to generate prioritized recommendations for spring rates, damping curves, anti-roll bar stiffness, and geometry adjustments that balance competing objectives like comfort and cornering composure.

Features

Test data interpretation

Transform accelerometer traces, load cell readings, and onboard telemetry into actionable insights about ride harshness, body control, and handling limits

Root-cause diagnosis

Trace complaints (stiff front end, unpredictable body roll) to specific suspension components and parameters rather than guessing

Trade-off analysis

Quantify how changes to spring rates, damping, and roll stiffness distribution affect comfort vs. sportiness simultaneously

Tuning prioritization

Rank recommendations by impact and feasibility, showing which adjustments deliver the largest gain-to-effort ratio

Geometry optimization guidance

Evaluate how camber, caster, roll center height, and compliance changes influence NVH and handling balance

Objective vs. subjective synthesis

Merge telemetry patterns with driver feedback to validate which data points matter most

Development roadmap generation

Create phased tuning plans for iterative prototype builds or production optimization cycles

Trade-off documentation

Prepare suspension compromise analysis for design reviews and stakeholder sign-off

Example Output

Example 1: Ride Comfort Issue

Input: Prototype shows excessive harshness over 15–25 Hz bumps; accelerometer peaks at 0.8 g. Current: 28 kN/m springs, 3200 N·s/m damping.

Output:

  • Root cause: Underdamped natural frequency (3.2 Hz); road inputs at 20 Hz hitting secondary resonance
  • Recommendation: Reduce damping to 2800 N·s/m (lowers secondary peak by 0.2 g) OR increase spring stiffness to 30 kN/m (shifts resonance above road input band)
  • Trade-off: Softer damping improves comfort but increases roll in corners by 0.3°; stiffer springs preserve handling but adds 0.1 g longitudinal harshness on braking
  • Next step: Test Variant B (springs + damping blend) before committing to geometry change

Example 2: Handling Unbalance

Input: Vehicle understeers at 1.0 g lateral, but roll angle (5°) feels excessive for grip level; telemetry shows rear load transfer 8% lower than front.

Output:

  • Root cause: Rear anti-roll bar too soft (18 kN/m) relative to front (22 kN/m); roll stiffness ratio 1.22:1 creates neutral-to-understeer bias
  • Recommendation: Increase rear ARB to 21 kN/m (improves load transfer distribution, targets 1.05:1 ratio) and soften rear bump stop (compliance adds 1° roll but recovers 0.15 g lateral feel)
  • Trade-off: Stiffer rear ARB reduces understeer but may increase rear NVH on rippled surfaces
  • Validation: Predict 4.2° roll at 1.0 g (vs. current 5.0°); corner speed gain ~2 km/h before driver limits

What's Included

  • SKILL.md: Complete framework for structured suspension analysis and recommendation generation
  • Test Data Interpretation Template: Checklist for extracting insights from accelerometer traces, load cell readings, and telemetry logs
  • Trade-off Matrix Worksheet: Structured comparison tool to weigh ride comfort, handling response, and stability against tuning changes
  • Root-Cause Diagnosis Flowchart: Decision tree to link driver complaints to suspension parameters (springs, dampers, ARBs, geometry)
  • Tuning Recommendation Report Format: Professional template for documenting analysis, trade-offs, and phased development roadmaps for engineering reviews

Who It's For

  • Vehicle dynamics engineers optimizing prototype or production suspension packages during development cycles
  • Chassis engineers investigating ride and handling complaints and preparing tuning recommendations
  • Test engineers interpreting telemetry data and translating accelerometer/load cell readings into engineering insights
  • Performance engineers balancing competing objectives (comfort vs. sportiness) across vehicle variants
  • Design review stakeholders needing documented trade-off analysis and justification for suspension changes

Best For

  • Analyzing test data from prototypes, development builds, or production vehicles to identify tuning opportunities
  • Root-cause diagnosis of ride harshness, body roll, steering feel, or stability issues
  • Evaluating spring rate, damping curve, anti-roll bar stiffness, and geometry trade-offs before physical iteration
  • Generating phased tuning plans for iterative development or production optimization cycles
  • Documenting suspension compromises and design decisions for engineering reviews and stakeholder approval

You might also like

AUTOSAR Architecture Validation & Compliance Assistant
$30
AUTOSAR3.6(32)
AUTOSAR Architecture Validation & Compliance Assistant

You can validate AUTOSAR software architectures across multiple compliance dimensions—layer separation, component interfaces, port definitions, service interfaces, and communication semantics. The skill identifies structural violations, missing documentation artifacts, and compliance gaps early in the design phase, helping you catch issues before formal gates and functional safety audits. It generates architecture compliance reports and documentation needed for ISO 26262 functional safety reviews.

Sensor Fusion Architecture Validator
$45
Sensor Fusion Architecture Validator

You can submit proposed sensor fusion system architectures for structured validation that catches timing violations, coordinate frame mismatches, and redundancy gaps early in the design phase. Claude analyzes sensor interaction patterns, identifies data consistency requirements across cameras, LiDAR, radar, and inertial sensors, then generates detailed test matrices covering multi-sensor fallback modes and operational design domain constraints—accelerating pre-development reviews where architectural fixes are most cost-effective.

AUTOSAR Architecture Designer
$35
AUTOSAR4.0(32)
AUTOSAR Architecture Designer

You can design complete AUTOSAR 4.x system architectures by automating component allocation across abstraction layers, modeling port interactions and service interfaces, and validating compliance with AUTOSAR standards. Claude helps you create standardized architecture documentation, detect circular dependencies and interface mismatches, and generate port interaction matrices—accelerating ECU architecture development while ensuring standards adherence.

EV Motor Thermal Analysis & Optimization
$45
EV Motor Thermal Analysis & Optimization

You can analyze FEA thermal simulation data to identify motor hotspots, calculate heat generation from motor losses across operating points, evaluate competing cooling solutions quantitatively, and troubleshoot excessive temperature rise during dyno testing. The skill helps you validate thermal management design margins, assess motor lifetime degradation risk, and optimize cooling loop efficiency—enabling data-driven thermal design decisions before building prototypes.

Embedded Diagnostic Code Analyzer
$35
Embedded Diagnostic Code Analyzer

You can analyze embedded diagnostic code across five critical domains: CAN message parsing and protocol compliance, Diagnostic Trouble Code (DTC) generation logic, diagnostic state machine transitions, sensor fault detection thresholds, and diagnostic data link command handlers (UDS/KWP). The skill identifies logic errors, false-positive configurations, state transition gaps, and compliance deviations that would otherwise only surface during expensive dyno or road testing.

Powertrain NVH Diagnostic Analysis
$40
Powertrain3.9(32)
Powertrain NVH Diagnostic Analysis

You can efficiently diagnose complex NVH concerns by working through a structured framework that correlates customer symptoms with potential powertrain failures. This skill helps you narrow diagnostic possibilities, recommend targeted testing sequences, distinguish between component failures and tuning issues, and substantiate warranty claims with technical evidence.

ADAS Scenario Simulation Analysis & Validation
$30
ADAS Scenario Simulation Analysis & Validation

You can evaluate simulation scenarios against functional safety and SOTIF requirements, identify untested edge cases and high-risk operational design domains, map failure modes to root causes, and generate traceability matrices linking requirements to validation results. This skill transforms raw simulation data into defensible technical documentation that demonstrates test completeness and readiness for real-world deployment.

Steering System Dynamics Analyzer
$35
Steering3.7(32)
Steering System Dynamics Analyzer

You can analyze multi-dimensional steering system performance including torque characteristics, self-alignment torque, steering angle feedback, road feel transmission, and torque vectoring effects. Extract actionable insights from simulation and test data to identify root causes of steering feel issues, then develop tuning recommendations for steering gear ratios, EPS algorithms, suspension geometry effects, and torque vectoring control strategies.

$35.00