Fair ESM2
SkillProductivityLets your agent run protein language model analysis like embeddings, mutation scoring, and sequence clustering.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Fair ESM2 skill
About this capability
Use ESM2 protein language models for embeddings, mutation scoring, remote homology, or representation analysis. Use when a task needs protein embeddings, zero-shot variant scores, clustering, or sequence-function triage.
What this skill tells your AI
The instructions your AI receives, as published by companion-inc/feynman in skills/fair-esm2/SKILL.md and read by ahel’s review.
Use this skill for ESM2-style protein language model analysis.
Workflow:
- Normalize proteins into FASTA with stable identifiers and mutation notation.
- Verify the local package, checkpoint, endpoint, or notebook route before execution.
- Save embeddings, variant-score tables, clustering plots, model version, command, and runtime logs.
- Compare model-derived rankings against UniProt, structures, conservation, assays, or literature.
- Mark sequence regions with poor coverage, disorder, low homology, or domain-boundary ambiguity.
Use ESM2 outputs as features or hypotheses unless a source-backed validation step supports the conclusion.
Signals
- GitHub stars
- 9k
- Forks
- 1k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
fair-esm2- Source
- github.com/companion-inc/feynman