corrosion-materials-selector
Materials selection skill for corrosion resistance based on process conditions and industry standards
Best use case
corrosion-materials-selector is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Materials selection skill for corrosion resistance based on process conditions and industry standards
Teams using corrosion-materials-selector 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/corrosion-materials-selector/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How corrosion-materials-selector Compares
| Feature / Agent | corrosion-materials-selector | 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?
Materials selection skill for corrosion resistance based on process conditions and industry standards
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
# Corrosion Materials Selector Skill
## Purpose
The Corrosion Materials Selector Skill recommends materials of construction based on process conditions, corrosion mechanisms, and industry standards to ensure equipment reliability.
## Capabilities
- Corrosion mechanism identification
- Material screening
- Corrosion rate estimation
- Corrosion allowance calculation
- Material specification development
- Isocorrosion curve analysis
- Galvanic compatibility assessment
- Stress corrosion cracking evaluation
- Cost-benefit analysis
## Usage Guidelines
### When to Use
- Selecting materials for new equipment
- Evaluating corrosion failures
- Assessing process changes
- Specifying replacement materials
### Prerequisites
- Process conditions defined
- Chemical composition known
- Operating temperature/pressure specified
- Design life established
### Best Practices
- Consider all corrosion mechanisms
- Use conservative assumptions
- Reference industry standards
- Validate with experience data
## Process Integration
This skill integrates with:
- Equipment Sizing and Specification
- Process Flow Diagram Development
- HAZOP Study Facilitation
## Configuration
```yaml
corrosion-materials-selector:
standards:
- NACE
- API
- ASME
material-classes:
- carbon-steel
- stainless-steel
- nickel-alloys
- non-metallics
```
## Output Artifacts
- Material recommendations
- Corrosion assessments
- Material specifications
- Cost comparisons
- Design life estimatesRelated Skills
gboy-character-selector
Select characters from the G*BOY universe for your OpenCLAW agent personality.
add-home-widget-selector
为Flutter插件添加可配置的选择器小组件(HomeWidget),支持用户点击配置、数据选择和动态数据渲染。核心特性:(1) 配置dataSelector保存必要数据,(2) 通过controller传递id获取最新数据,(3) 支持导航到详情页
bgo
Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.
humanizer-ko
Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.
huggingface-accelerate
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.
hr-pro
Professional, ethical HR partner for hiring, onboarding/offboarding, PTO and leave, performance, compliant policies, and employee relations. Ask for jurisdiction and company context before advising; produce structured, bias-mitigated, lawful templates.
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
hire
Interactive hiring wizard to set up a new AI team member. Guides the user through role design via conversation, generates agent identity files, and optionally sets up performance reviews. Use when the user wants to hire, add, or set up a new AI agent, team member, or assistant. Triggers on phrases like "hire", "add an agent", "I need help with X" (implying a new role), or "/hire".
hic-tad-calling
This skill should be used when users need to identify topologically associating domains (TADs) from Hi-C data in .mcools (or .cool) files or when users want to visualize the TAD in target genome loci. It provides workflows for TAD calling and visualization.
helix-memory
Long-term memory system for Claude Code using HelixDB graph-vector database. Store and retrieve facts, preferences, context, and relationships across sessions using semantic search, reasoning chains, and time-window filtering.
heath-ledger
AI bookkeeping agent for Mercury bank accounts. Pulls transactions, categorizes them (rule-based + AI), and generates Excel workbooks with P&L, Balance Sheet, Cash Flow, and transaction detail. Use when the user wants to do bookkeeping, generate financial statements, categorize bank transactions, connect Mercury, or produce monthly/quarterly/annual books. Triggers on: bookkeeping, P&L, profit and loss, balance sheet, cash flow, financial statements, Mercury bank, categorize transactions, generate books, monthly close.
health-chat
Unified health conversation entry point - automatically loads all health data for each conversation, supports natural language queries, and intelligently routes to appropriate health data processing