additive-manufacturing
Skill for additive manufacturing process selection, design optimization, and build preparation
npx skills add a5c-ai/babysitter --skill additive-manufacturing --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.
# Additive Manufacturing Skill ## Purpose The Additive Manufacturing skill provides capabilities for AM process selection, design optimization, and build preparation, enabling effective use of additive technologies for prototyping and production applications. ## Capabilities - AM technology selection (SLS, DMLS, FDM, SLA) - Design for additive manufacturing (DfAM) - Build orientation optimization - Support structure design and minimization - Part nesting and build volume optimization - Post-processing procedure specification - Surface finish and tolerance expectations - AM-specific material properties and considerations ## Usage Guidelines ### Technology Selection #### Metal AM Processes | Process | Materials | Resolution | Applications | |---------|-----------|------------|--------------| | DMLS/SLM | Ti, Al, Steel, Inconel | 30-50 um layer | Aerospace, medical | | EBM | Ti, CoCr | 50-100 um layer | Orthopedic implants | | DED | Most metals | 250+ um | Large parts, repair | | Binder Jet | Steel, bronze | 80-100 um | Tooling, high volume | #### Polymer AM Processes | Process | Materials | Resolution | Applications | |---------|-----------|------------|--------------| | SLS | Nylon,
- Purpose
- Capabilities
- Usage Guidelines
- Technology Selection
- Design for Additive Manufacturing
- Build Preparation
- Post-Processing
- Process Integration
- Input Schema
- Output Schema
- Best Practices
- Integration Points
What does the additive-manufacturing skill do?
Skill for additive manufacturing process selection, design optimization, and build preparation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill additive-manufacturing --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.