a5c-ai/ftir-analyzer
library/specializations/domains/science/nanotechnology/skills/ftir-analyzer/SKILL.md
Fourier Transform Infrared spectroscopy skill for molecular identification and surface functional group analysis
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter ftir-analyzerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 2, 2026, 7:39 AM57.7s1 file scanned
SKILL.md
- name:
- ftir-analyzer
- description:
- Fourier Transform Infrared spectroscopy skill for molecular identification and surface functional group analysis
- specialization:
- nanotechnology
- domain:
- science
- category:
- spectroscopy
- priority:
- high
- phase:
- 6
FTIR Analyzer
Purpose
The FTIR Analyzer skill provides molecular characterization of nanomaterials through infrared spectroscopy, enabling identification of functional groups, surface modifications, and chemical bonding.
Capabilities
- ATR-FTIR for nanoparticle surfaces
- Functional group identification
- Surface modification verification
- Gas-phase FTIR for reactions
- Diffuse reflectance (DRIFTS)
- Spectral library searching
Usage Guidelines
FTIR Analysis
-
Sample Preparation
- Use ATR for nanoparticles
- Ensure good contact for ATR
- Consider KBr pellet for transmission
-
Spectrum Analysis
- Identify characteristic bands
- Compare to reference spectra
- Quantify using Beer-Lambert
-
Surface Chemistry
- Monitor ligand exchange
- Verify functionalization
- Detect degradation products
Process Integration
- Multi-Modal Nanomaterial Characterization Pipeline
- Nanomaterial Surface Functionalization Pipeline
Input Schema
{
"spectrum_file": "string",
"technique": "atr|transmission|drifts",
"analysis_type": "identification|quantification|comparison"
}
Output Schema
{
"identified_bands": [{
"wavenumber": "number (cm-1)",
"assignment": "string",
"intensity": "string (strong|medium|weak)"
}],
"functional_groups": ["string"],
"library_matches": [{
"compound": "string",
"match_score": "number"
}]
}
Related Skills
a5c-ai/model-card-generator
development
VerifiedTrustedCommunity
Model documentation skill for generating model cards following Google's model card framework.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/mlflow-experiment-tracker
development
VerifiedTrustedCommunity
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/lime-explainer
data-ai
VerifiedTrustedCommunity
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/kubeflow-pipeline-executor
devops
VerifiedTrustedCommunity
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.
680SKILL.mdUpdated Apr 28, 2026