SKILL
matchms
https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/matchmsSUMMARY
What it does
This skill provides procedural guidance for using the matchms Python package (version 0.33.1) to process, clean, compare, and search tandem mass spectra. It covers file I/O for formats like MGF, MSP, mzML, mzXML, JSON, mzSpecLib, and metabolomics-USI; metadata harmonization; peak filtering; spectral similarity scoring (cosine, modified cosine, neutral loss, etc.); library matching; score matrices; and molecular-similarity networks. The skill includes code examples, API guardrails for matchms 0.33.1, and references to detailed documentation. It explicitly states that matchms is not for LC-MS feature detection or proteomics pipelines, recommending pyopenms for those tasks. The skill is part of the Scientific Agent Skills library by K-Dense and is licensed under Apache-2.0.
CAPABILITIES
Capabilities and scope
Evidence-backed capability profile
MACHINE-READABLE ENDPOINTS
How agents read it
ACCESS
Access requirements
- Protocols
- agent-skills
- Authentication
- type: none · required: false
- Pricing
- model: free
- Version
- 1e5eeffbdad3
USAGE OBSERVATIONS