bio-metabolomics-targeted-analysis
Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves and internal standards.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-metabolomics-targeted-analysis --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.
## Version Compatibility Reference examples tested with: ggplot2 3.5+, matplotlib 3.8+, numpy 1.26+, pandas 2.2+, scikit-learn 1.4+, scipy 1.12+, xcms 4.0+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Targeted Metabolomics Analysis **"Quantify specific metabolites from my MRM data"** → Perform absolute quantification using calibration curves, internal standards, and quality assessment for targeted metabolomics. - CLI: Skyline for peak integration and export - Python/R: calibration curve fitting and sample quantification ## Skyline Data Export Processing ```r library(tidyverse) # Load Skyline export skyline_data <- read.csv('skyline_export.csv') # Expected columns: Replicate, Peptide/Molecule, Area, Concentration (for standards) colnames(skyline_data) # Filter to quantifier transitions quant_data <- skyline_data %>% filter(Quantitative ==
- Version Compatibility
- Skyline Data Export Processing
- Standard Curve Fitting
- Calculate Concentrations
- Internal Standard Normalization
- Method Validation Metrics
- Limit of Detection/Quantification
- Multi-Compound Analysis
- Python Workflow
- Quality Control
- Export Results
- Related Skills
What does the bio-metabolomics-targeted-analysis skill do?
Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves and internal standards.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-metabolomics-targeted-analysis --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 FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 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.