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Protein structure prediction and analysis v1.0.0
Use this resource to predict and analyze a protein structure
New
- 552 downloads
- 116 likes
- 149 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install protein-structure-predictionWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent explains the prediction workflow, reads confidence metrics and flags regions where the model is unreliable. You get an interpreted structural analysis with its limits.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md: structural analysis method and the agent's role
- references/patterns.md: prediction and assessment procedures
- references/sharp_edges.md: common misreadings of confidence scores
Good fit for
- You need a likely structure for a protein without crystallography
- You must judge whether a prediction can support a lab hypothesis
Not for
Tags
- protein
- alphafold
- structure
- prediction
- biology
About
You say
“Assess how reliable this protein prediction is, using per-residue confidence scores and the error alignment.”
Skill published by omer-metin under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to predict and analyze a protein structure
- Review and adjust the result
Content preview
Files
- LICENSE10.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/patterns.md16.4 KB
- references/sharp_edges.md8.1 KB
- references/validations.md2.9 KB
- SKILL.md1.1 KB
Origin and licence
Listed unmodified
- Author
- omer-metin
- Source
- github.com/omer-metin/skills-for-antigravity/tree/e8dcf4e8737921a10088bd5c9eb65e81f74c051f/skills/protein-structure
- Licence
- Apache-2.0
Notice
« protein-structure » (omer-metin, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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