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Solublempnn

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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.

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/companion-inc/feynman/blob/HEAD/skills/solublempnn/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/solublempnn, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

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.