dfm-review
Skill for design for manufacturing review and optimization
npx skills add a5c-ai/babysitter --skill dfm-review --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.
# DFM Review Skill ## Purpose The DFM Review skill provides capabilities for systematic design for manufacturing review and optimization, enabling cost-effective and producible mechanical designs. ## Capabilities - Manufacturability assessment - Process selection guidance - Tooling feasibility analysis - Cost driver identification - Design modification recommendations - Tolerance and surface finish review - Material availability assessment - Supplier capability consideration ## Usage Guidelines ### DFM Principles #### Core DFM Guidelines ``` 1. Minimize part count 2. Use standard components 3. Design for ease of fabrication 4. Design for ease of assembly 5. Design for ease of service 6. Consider process capabilities 7. Minimize secondary operations ``` #### Process-Specific Guidelines | Process | Key DFM Considerations | |---------|----------------------| | Machining | Access, fixturing, tool reach | | Casting | Draft, wall thickness, gates/risers | | Injection molding | Draft, undercuts, sink marks | | Sheet metal | Bend radius, hole-to-edge, grain | | Welding | Access, joint design, distortion | | Assembly | Part orientation, fastener access | ### Machining DFM #### Feature Guide
- Purpose
- Capabilities
- Usage Guidelines
- DFM Principles
- Machining DFM
- Casting DFM
- Injection Molding DFM
- Sheet Metal DFM
- Cost Drivers
- Tolerance Review
- Process Integration
- Input Schema
- Output Schema
- Best Practices
What does the dfm-review skill do?
Skill for design for manufacturing review and optimization
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill dfm-review --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.