raman-spectroscopy-analyzer
Raman spectroscopy skill for molecular fingerprinting, structural characterization, and chemical identification of nanomaterials
Profile →npx skills add a5c-ai/babysitter --skill raman-spectroscopy-analyzer --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.
# Raman Spectroscopy Analyzer ## Purpose The Raman Spectroscopy Analyzer skill provides molecular-level characterization of nanomaterials through vibrational spectroscopy, enabling structural identification, defect analysis, and chemical mapping. ## Capabilities - Raman spectrum acquisition and processing - Peak identification and assignment - SERS (Surface-Enhanced Raman) analysis - Raman mapping and imaging - Resonance Raman analysis - Graphene/CNT characterization (D/G ratio) ## Usage Guidelines ### Raman Analysis 1. **Spectrum Acquisition** - Select appropriate excitation wavelength - Optimize power to avoid damage - Apply baseline correction 2. **Peak Analysis** - Identify characteristic peaks - Calculate peak ratios (D/G for carbon) - Assess crystallinity 3. **Mapping** - Generate chemical maps - Identify phase distributions - Quantify heterogeneity ## Process Integration - Multi-Modal Nanomaterial Characterization Pipeline - In-Situ Characterization Experiment Design - Structure-Property Correlation Analysis ## Input Schema ```json { "spectrum_file": "string", "excitation_wavelength": "number (nm)", "material_type": "string", "analysis_type": "identification|mapping|sers" }
- Purpose
- Capabilities
- Usage Guidelines
- Raman Analysis
- Process Integration
- Input Schema
- Output Schema
What does the raman-spectroscopy-analyzer skill do?
Raman spectroscopy skill for molecular fingerprinting, structural characterization, and chemical identification of nanomaterials
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill raman-spectroscopy-analyzer --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.