# Solublempnn

> Solublempnn is an Agent Skill for general use published in the companion-inc/feynman repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Design or screen protein sequences for solubility-aware constraints with SolubleMPNN-style workflows. Use when a task asks for soluble protein design, expression-friendly variants, or solubility risk filtering.

- Skill name: `solublempnn`
- Category: [Others](https://www.openparable.com/skill/others/1)
- Source: https://github.com/companion-inc/feynman/blob/HEAD/skills/solublempnn/SKILL.md
- Repository: companion-inc/feynman (8,301 GitHub stars when collected)

## SKILL.md

# SolubleMPNN

Use this skill for solubility-aware protein design.

Workflow:

1. Record input structure or sequence, design positions, expression system, forbidden motifs, and stability/solubility constraints.
2. Verify model availability and execution path before running.
3. Save input files, masks, command, model version, generated sequences, scores, and filtering tables.
4. Filter candidates for hydrophobic patches, charge balance, repeats, liabilities, conservation, and structure-confidence impact.
5. Attach assay or expression-screen recommendations when a decision depends on solubility.

Do not equate a solubility score with confirmed expression.

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Source: https://www.openparable.com/skill/others/solublempnn (OpenParable). Cite the canonical URL above.