cleanroom-metrology-controller
Nanofabrication metrology skill for process control with CD-SEM, ellipsometry, and profilometry
npx skills add a5c-ai/babysitter --skill cleanroom-metrology-controller --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.
# Cleanroom Metrology Controller ## 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 1. **CD-SEM Measurements** - Develop automated recipes - Calibrate against reference - Track process variation 2. **Ellipsometry** - Select appropriate model - Map thickness uniformity - Characterize optical constants 3. **Defect Inspection** - Set detection thresholds - Classify defect types - Track yield trends ## Process Integration - All fabrication processes - Analysis Pipeline Validation ## Input Schema ```json { "measurement_type": "cd_sem|ellipsometry|profilometry|defect", "target_parameter": "string", "wafer_map": {"sites": "number", "pattern": "string"}, "specification": { "target": "number", "tolerance": "number" } } ``` ## Output Schema ```json { "measurements": [{ "site": "string", "value": "n
- Purpose
- Capabilities
- Usage Guidelines
- Metrology Control
- Process Integration
- Input Schema
- Output Schema
What does the cleanroom-metrology-controller skill do?
Nanofabrication metrology skill for process control with CD-SEM, ellipsometry, and profilometry
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill cleanroom-metrology-controller --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.