pyOpenMS (Claude Skill)
Complete mass spectrometry analysis platform.
| Type | Claude Skill |
| Supplier | K-Dense Inc. (community OSS) |
| Availability | GA — part of the actively maintained K-Dense scientific-agent-skills collection |
| Pricing | Free / OSS (3 clause BSD) |
| Capabilities | Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool |
How to install
- Also packaged in the SciAgent-Skills collection (jaechang-hits (community OSS, CC BY 4.0)): clone
jaechang-hits/SciAgent-Skillsand run/plugin install sciagent-skillsin Claude Code (or copyskills/proteomics-protein-engineering/pyopenms-mass-spectrometryinto~/.claude/skills/). - Claude Code / Claude.ai — Skills CLI (recommended):
npx skills add K-Dense-AI/scientific-agent-skillsInstalls the K-Dense collection; enable the
pyopenmsskill when prompted. Works across Claude Code, Cursor, and Codex via the Agent Skills spec (requires Node ≥ 18). - Claude Code / Claude Desktop — manual clone:
git clone https://github.com/K-Dense-AI/scientific-agent-skills cp -r scientific-agent-skills/skills/pyopenms ~/.claude/skills/Project-scoped alternative: copy into
.claude/skills/instead of~/.claude/skills/. The skill declares its own Python dependencies in itsSKILL.md; install them (the K-Dense skills generally useuv/pip) when prompted on first use.
What it does
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. Best for proteomics, comprehensive MS data processing. For simple spectral comparison and metabolite ID use matchms.
Primary use cases: proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelines.
Notes
Distributed as a SKILL.md (plus code examples) in the K-Dense collection — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: 3 clause BSD. The skill name to enable after install is pyopenms.
Sources
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