Agent skill
additive-manufacturing
Skill for additive manufacturing process selection, design optimization, and build preparation
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mechanical-engineering/skills/additive-manufacturing
Metadata
Additional technical details for this skill
- phase
- 3
- domain
- science
- category
- manufacturing
- priority
- high
- specialization
- mechanical-engineering
- tools libraries
-
[ "Materialise Magics", "Netfabb", "nTopology", "Autodesk Fusion 360" ]
SKILL.md
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, TPU | 100-150 um | Functional prototypes |
| SLA/DLP | Photopolymers | 25-100 um | High detail, patterns |
| FDM | ABS, PLA, PC, PEEK | 100-300 um | Prototypes, tooling |
| MJF | Nylon | 80 um | Production parts |
Design for Additive Manufacturing
Self-Supporting Angles
Minimum self-supporting angle:
- Metal (DMLS): 45 degrees from horizontal
- Polymer (SLS): 0 degrees (self-supporting)
- FDM: 45 degrees (with support)
- SLA: 30-45 degrees
Overhang rule:
- Unsupported distance < 2 mm (metal)
- Unsupported distance < 5 mm (polymer)
Minimum Feature Sizes
| Process | Min Wall | Min Hole | Min Detail |
|---|---|---|---|
| DMLS | 0.4 mm | 0.5 mm | 0.2 mm |
| SLS | 0.7 mm | 1.0 mm | 0.3 mm |
| SLA | 0.5 mm | 0.5 mm | 0.1 mm |
| FDM | 0.8 mm | 2.0 mm | 0.5 mm |
Design Optimization
-
Topology Optimization
- Define design space
- Apply loads and constraints
- Set mass reduction target
- Interpret and refine results
-
Lattice Structures
Type Relative Density Application Octet truss 10-40% High stiffness Diamond 15-35% Isotropic Gyroid 10-50% Bone ingrowth Honeycomb 20-50% Directional load -
Part Consolidation
- Identify assembly candidates
- Evaluate function integration
- Consider serviceability
- Calculate cost/benefit
Build Preparation
Orientation Selection
Optimization criteria:
1. Minimize support volume
2. Optimize surface finish on critical surfaces
3. Reduce build height (time)
4. Ensure feature accuracy
Trade-off example:
- Flat orientation: Less support, rougher top surface
- Angled orientation: More support, better detail
Support Design
-
Support Types
Type Application Removal Block Large overhangs Manual/machining Tree Complex geometry Manual Lattice Heat dissipation Manual Cone Point supports Manual -
Support Minimization
- Reorient part
- Add self-supporting chamfers
- Split and assemble
- Modify geometry if allowed
Nesting and Packing
Minimum spacing:
- DMLS: 2-5 mm between parts
- SLS: 2-3 mm (powder acts as support)
- FDM: N/A (single part builds)
- SLA: 2-3 mm
Packing efficiency target: 5-15% of build volume
Post-Processing
Metal AM
-
Required
- Stress relief (before removal)
- Support removal
- Heat treatment (as specified)
-
Optional
- Machining critical surfaces
- Shot peening
- Polishing/finishing
- HIP (for porosity closure)
Polymer AM
-
SLS/MJF
- Depowder and clean
- Dye or paint (optional)
- Sealing (if required)
-
SLA/DLP
- Wash (IPA or solvent)
- UV post-cure
- Support removal
- Sanding/finishing
Process Integration
- ME-019: Additive Manufacturing Process Development
Input Schema
{
"part_model": "CAD file reference",
"material_requirement": {
"type": "metal|polymer",
"specific": "string (e.g., Ti6Al4V, Nylon 12)",
"properties": "strength|stiffness|temperature|biocompatible"
},
"quantity": "number",
"quality_requirements": {
"tolerance": "number (mm)",
"surface_finish": "string",
"critical_features": "array"
},
"timeline": "prototype|production",
"budget_constraint": "number (optional)"
}
Output Schema
{
"process_recommendation": {
"technology": "string",
"material": "string",
"machine": "string (if specific)"
},
"build_preparation": {
"orientation": "description and rationale",
"support_volume": "number (cm3)",
"build_time": "number (hours)",
"material_usage": "number (kg)"
},
"dfam_recommendations": [
{
"feature": "string",
"issue": "string",
"recommendation": "string"
}
],
"post_processing": "array of steps",
"cost_estimate": {
"material": "number",
"machine_time": "number",
"post_processing": "number",
"total": "number"
}
}
Best Practices
- Design for AM from the start, not as afterthought
- Understand process limitations before design
- Optimize orientation for quality, not just time
- Plan for post-processing in design stage
- Validate material properties for application
- Consider total cost including post-processing
Integration Points
- Connects with CAD Modeling for geometry
- Feeds into Material Testing for property validation
- Supports DFM Review for manufacturability
- Integrates with FAI Inspection for quality
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?