fair-esm2
Use ESM2 protein language models for embeddings, mutation scoring, remote homology, or representation analysis.
Skill by ParamJani21
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/paramjani21-fair-esm2
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/fair-esm2
What's inside
- Skill name
fair-esm2- Description
- 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.
- License
- MIT
- Instructions
- 15 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Fair ESM2 Use this skill for ESM2-style protein language model analysis. Workflow: 1. Normalize proteins into FASTA with stable identifiers and mutation notation. 2. Verify the local package, checkpoint, endpoint, or notebook route before execution. 3. Save embeddings, variant-score tables, clustering plots, model version, command, and runtime logs. 4. Compare model-derived rankings against UniProt, structures, conservation, assays, or literature. 5. 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.
From ParamJani21/feynman, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 5, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ParamJani21/feynman
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from ParamJani21
- 0.469score
boltz
ParamJani21
Run or plan Boltz biomolecular structure predictions for proteins, complexes, ligands, or nucleic-acid assemblies.
SkillCFreshness: CClaude Code +9 - 0.469score
borzoi
ParamJani21
Use Borzoi-style regulatory genomics models for sequence-to-expression or variant-effect analysis.
SkillCFreshness: CClaude Code +9 - 0.469score
chai1
ParamJani21
Run or prepare Chai-1 structure predictions for biomolecular complexes.
SkillCFreshness: CClaude Code +9 - 0.469score
compute-env-setup
ParamJani21
Set up a reproducible Feynman compute environment for research jobs.
SkillCFreshness: CClaude Code +9 - 0.469score
customize
ParamJani21
Configure Feynman specialists, skills, connectors, permissions, memory categories, compute providers, and project setup.
SkillCFreshness: CClaude Code +9 - 0.469score
alphafold2
ParamJani21
Predict or audit protein structures with AlphaFold2-style workflows.
SkillCFreshness: CClaude Code +9
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Cite this page
fair-esm2 skill. Agent Mart. https://agentmart.dev/skills/paramjani21-fair-esm2 (last updated 2026-10-24)