bms-development
Battery system design, BMS algorithm development, and validation expertise
Best use case
bms-development is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Battery system design, BMS algorithm development, and validation expertise
Teams using bms-development should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/bms-development/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How bms-development Compares
| Feature / Agent | bms-development | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Battery system design, BMS algorithm development, and validation expertise
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Battery Management System Skill ## Purpose Provide comprehensive battery system design and BMS algorithm development capabilities for electric vehicle applications including state estimation and thermal management. ## Capabilities - Cell characterization data analysis (HPPC, capacity, OCV) - State-of-Charge (SoC) estimation algorithms - State-of-Health (SoH) estimation methods - Cell balancing strategy implementation - Thermal management system sizing - Battery pack electrical design - Fault detection and diagnostics - Abuse testing scenario definition ## Usage Guidelines - Characterize cells across full temperature and SOC range - Validate SoC algorithms against reference methods - Design thermal management for worst-case conditions - Implement robust fault detection for safety - Consider cell aging in lifetime predictions - Document battery specifications and safety limits ## Dependencies - GT-SUITE - AVL CRUISE M - MATLAB/Simulink - Battery testing equipment ## Process Integration - PTE-001: Battery System Design and Validation - PTE-004: Powertrain Calibration and Optimization - SAF-001: Functional Safety Development (ISO 26262)
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