Cleanroom Metrology Controller
SkillDev toolsNanofabrication metrology skill for process control with CD-SEM, ellipsometry, and profilometry
Use Cleanroom Metrology Controller in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the Cleanroom Metrology Controller skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/cleanroom-metrology-controller/SKILL.md and read by Ahel’s review.
Purpose
The Cleanroom Metrology Controller skill provides comprehensive in-line metrology for nanofabrication process control, enabling precise measurement and monitoring of critical dimensions, film thicknesses, and pattern quality.
Capabilities
- CD-SEM measurement recipes
- Spectroscopic ellipsometry analysis
- Film thickness mapping
- Surface profilometry
- Defect inspection
- Overlay measurement
Usage Guidelines
Metrology Control
-
CD-SEM Measurements
- Develop automated recipes
- Calibrate against reference
- Track process variation
-
Ellipsometry
- Select appropriate model
- Map thickness uniformity
- Characterize optical constants
-
Defect Inspection
- Set detection thresholds
- Classify defect types
- Track yield trends
Process Integration
- All fabrication processes
- Analysis Pipeline Validation
Input Schema
{
"measurement_type": "cd_sem|ellipsometry|profilometry|defect",
"target_parameter": "string",
"wafer_map": {"sites": "number", "pattern": "string"},
"specification": {
"target": "number",
"tolerance": "number"
}
}
Output Schema
{
"measurements": [{
"site": "string",
"value": "number",
"unit": "string"
}],
"statistics": {
"mean": "number",
"std_dev": "number",
"range": "number"
},
"uniformity": "number (%)",
"pass_fail": "boolean",
"trending_data": {"dates": [], "values": []}
}
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
cleanroom-metrology-controller- Source
- github.com/a5c-ai/babysitter