Open source alternatives to glycoengineering
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
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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
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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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About glycoengineering
glycoengineering
Analyzes and engineers protein glycosylation
glycoengineering is an agent skill for analysing and engineering protein glycosylation. It scans for canonical N-glycosylation sequons, which are the motifs where sugars attach to proteins, describes serine and threonine rich regions, checks curated glycan evidence, and helps with antibody glycoform comparison and structural glycan shielding. It also triages candidate mucin-type O-GalNAc sites. The skill insists that four kinds of result are kept separate: a sequence motif, a prediction, experimentally supported occupancy, and a glycan structure or composition. None of these alone establishes the others. The workflow focuses on N-glycosylation in the eukaryotic secretory pathway and on mucin-type O-GalNAc. Other O-linked modifications, such as O-GlcNAc, O-mannose and O-fucose, need appropriate evidence and predictors, and enrichment of serine and threonine residues does not show which type is present. Use it when you are looking at candidate glycosylation sites in a protein, comparing antibody glycoforms, or considering how glycans might shield a surface. 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/glycoengineering