Agent skill

bio-proteomics-spectral-libraries

Build, manage, and search spectral libraries for proteomics. Use when creating or working with spectral libraries for DIA analysis. Covers DDA-based library generation, predicted libraries (Prosit, DeepLC), and library formats.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-proteomics-spectral-libraries --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 7 KB
Bundled scripts: yes
Path: skills/bio-proteomics-spectral-libraries/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: matplotlib 3.8+, pandas 2.2+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - CLI: `<tool> --version` then `<tool> --help` to confirm flags If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Spectral Library Management **"Build a spectral library for DIA analysis"** → Create, filter, and manage spectral libraries from DDA experiments or predicted spectra for use in DIA quantification workflows. - CLI: `spectrast` (TPP) for consensus library building from search results - CLI: Prosit/DeepLC for deep learning-predicted spectral libraries - Python: `pandas` for library format conversion and quality filtering ## Build Library from DDA Data ### SpectraST (TPP) ```bash # Build library from search results spectrast -cNlibrary.splib -cAC search_results.pep.xml # Filter library for quality spectrast -cNfiltered.splib -cAQ library.splib # Convert to other formats spectrast -cNlibrary.tsv -cM library.splib ``` ### Ea

What's inside
Steps it walks through
  1. Version Compatibility
  2. Build Library from DDA Data
  3. SpectraST (TPP)
  4. EasyPQP (Skyline/OpenMS)
  5. EncyclopeDIA (Walnut)
  6. Predicted Libraries
  7. Prosit (Deep Learning)
  8. DeepLC Retention Time Prediction
  9. MS2PIP Fragmentation Prediction
  10. Library Formats
  11. DIA-NN TSV Format
  12. OpenSWATH TSV Format
  13. Spectronaut Library Format
  14. Library QC
Ships with 2 files
  • examples/build_library.py
  • usage-guide.md
Commands it runs
Build library from search results
spectrast -cNlibrary.splib -cAC search_results.pep.xml
Filter library for quality
spectrast -cNfiltered.splib -cAQ library.splib
Convert to other formats
spectrast -cNlibrary.tsv -cM library.splib
easypqp library \
Convert to TSV format
easypqp convert \
Build chromatogram library from DIA
More from OpenClaw-Medical-Skills
All skills →
About this skill
What does the bio-proteomics-spectral-libraries skill do?

Build, manage, and search spectral libraries for proteomics. Use when creating or working with spectral libraries for DIA analysis. Covers DDA-based library generation, predicted libraries (Prosit, DeepLC), and library formats.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-proteomics-spectral-libraries --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.

Keep going