Open source alternatives to matchms
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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netdata/netdata#Netdata
Discovery, exploration, reporting and root cause analysis over Netdata metrics
Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About matchms
matchms
Processes, cleans, compares, and searches tandem mass spectra with matchms
matchms is an agent skill for processing, cleaning, comparing and searching tandem mass spectra with the matchms Python package. Use it for mass spectrometry file input and output, harmonising metadata, filtering peaks, comparing spectra and searching libraries. Its scoring methods include cosine, modified cosine, neutral loss, approximate and entropy scores. It also builds structured score matrices, extracts top hits and creates spectral networks. It reads and writes MGF, MSP, mzML, mzXML, JSON, mzSpecLib and metabolomics USI workflows. Typical jobs are query-versus-reference library search, metadata cleaning with adduct and precursor handling, and peak filtering before comparison. The skill is clear about its scope. It is not a replacement for other tools in areas that matchms does not cover, and the skill lists those cases. It targets matchms 0.33.1, released on 8 June 2026 and verified again on 1 October 2026. Older tutorials use names that have since been removed, so the skill points to a migration reference for those. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/matchms