material-selection
Systematic material selection using Ashby methodology and performance indices
npx skills add a5c-ai/babysitter --skill material-selection --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Material Selection Skill ## Purpose The Material Selection skill provides systematic capabilities for selecting materials using Ashby methodology and performance indices, enabling optimal material choices based on functional requirements, manufacturing constraints, and cost considerations. ## Capabilities - Ashby chart generation and interpretation - Performance index derivation for design requirements - Material property database access (MatWeb, CES) - Environmental compatibility assessment - Manufacturing process compatibility evaluation - Cost and availability analysis - Equivalent material identification - Material specification documentation ## Usage Guidelines ### Ashby Methodology #### Performance Indices 1. **Stiffness-Limited Design** | Loading | Performance Index | Maximize | |---------|-------------------|----------| | Tie (tension) | E/rho | Specific stiffness | | Beam (bending) | E^(1/2)/rho | Flexural efficiency | | Panel (bending) | E^(1/3)/rho | Panel efficiency | | Shaft (torsion) | G^(1/2)/rho | Torsional efficiency | 2. **Strength-Limited Design** | Loading | Performance Index | Maximize | |---------|-------------------|----------| | Tie (tension) | sigma_y/rho
- Purpose
- Capabilities
- Usage Guidelines
- Ashby Methodology
- Property Requirements
- Manufacturing Compatibility
- Environmental Considerations
- Process Integration
- Input Schema
- Output Schema
- Best Practices
- Integration Points
What does the material-selection skill do?
Systematic material selection using Ashby methodology and performance indices
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill material-selection --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.