fluorescence-spectroscopy-analyzer
Fluorescence spectroscopy skill for quantum dot characterization, FRET measurements, and photoluminescence analysis
npx skills add a5c-ai/babysitter --skill fluorescence-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.
# Fluorescence Spectroscopy Analyzer ## Purpose The Fluorescence Spectroscopy Analyzer skill provides comprehensive photoluminescence characterization of nanomaterials, enabling analysis of emission properties, quantum yields, and energy transfer processes. ## Capabilities - Excitation/emission spectra - Quantum yield calculation - Fluorescence lifetime measurements - FRET efficiency calculation - Photostability assessment - Single-particle fluorescence ## Usage Guidelines ### Fluorescence Analysis 1. **Spectral Measurements** - Acquire excitation and emission spectra - Correct for instrument response - Identify emission maxima 2. **Quantum Yield** - Use integrating sphere or reference - Account for reabsorption - Report with standard 3. **Lifetime Measurements** - Use TCSPC for time-resolved - Fit decay curves - Identify multiple components ## Process Integration - Multi-Modal Nanomaterial Characterization Pipeline - Nanosensor Development and Validation Pipeline - Nanoparticle Drug Delivery System Development ## Input Schema ```json { "sample_id": "string", "excitation_wavelength": "number (nm)", "measurement_type": "steady_state|time_resolved|quantum_yield", "reference_standard"
- Purpose
- Capabilities
- Usage Guidelines
- Fluorescence Analysis
- Process Integration
- Input Schema
- Output Schema
What does the fluorescence-spectroscopy-analyzer skill do?
Fluorescence spectroscopy skill for quantum dot characterization, FRET measurements, and photoluminescence analysis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill fluorescence-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.