Boltz

SkillProductivity

boltz lets your AI plan and run biomolecular structure predictions for proteins, complexes, ligands, and nucleic-acid assemblies. Once added, your AI can set up prediction runs, prepare inputs, and interpret the outputs and confidence scores. It can also help reproduce earlier prediction runs.

Available today. Use it from your connected AI after setup.

Add boltz, then ask your AI to set up a structure prediction for your molecule of interest. It will prepare the inputs, run the prediction, and walk you through the results and confidence scores.

Then ask your AI: use the Boltz skill

What your AI can do with it

  • Plan biomolecular structure predictions for proteins, complexes, ligands, or nucleic-acid assemblies
  • Set up and run Boltz prediction jobs
  • Prepare prediction inputs
  • Interpret prediction outputs and confidence scores
  • Reproduce earlier prediction runs

What this skill tells your AI

The instructions your AI receives, as published by companion-inc/feynman in skills/boltz/SKILL.md and read by ahel’s review.

Use this skill when the active research run needs Boltz-style biomolecular prediction.

Workflow:

  1. Normalize inputs into explicit entities: protein chains, nucleic-acid chains, ligands, covalent links, templates, constraints, and seeds.
  2. Verify the available execution route from Feynman Settings, notebook runtimes, managed endpoints, Modal, SSH, or local installs before claiming the model can run.
  3. Run only from a recorded input manifest. Preserve exact sequences, ligand identifiers, model parameters, seed, hardware, package version, and command.
  4. Save structures, confidence outputs, logs, and rendered previews as Feynman artifacts.
  5. Interpret the output as a hypothesis: separate high-confidence local folds from weak interfaces, ligand poses, flexible regions, and unsupported biological claims.

Do not treat a single attractive structure as proof. Add verification checks against source literature, known structures, or orthogonal experiments when the result drives a decision.

Signals

GitHub stars
9k
Forks
1k
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
boltz-companion-inc
Source
github.com/companion-inc/feynman
Boltz by companion-inc: Skill · ahel