esmfold2
Predict quick protein structures with ESMFold-style workflows.
Skill by ParamJani21
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-esmfold2
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/esmfold2
What's inside
- Skill name
esmfold2- Description
- Predict quick protein structures with ESMFold-style workflows. Use when a task needs fast MSA-free folding, sequence triage, variant structure screening, or confidence review.
- License
- MIT
- Instructions
- 15 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# ESMFold2 Use this skill when a fast protein fold hypothesis is useful before heavier structure prediction. Workflow: 1. Normalize sequences into FASTA and record identifiers, mutations, truncations, domains, and oligomer assumptions. 2. Verify the local or endpoint route before running. 3. Save FASTA, model version, command or request body, predicted PDB/mmCIF, pLDDT/confidence outputs, and logs. 4. Flag low-confidence regions, missing multimers, disorder, membrane regions, and sequence lengths outside the chosen route's limits. 5. Use RDKit/3Dmol/PDB previews and source-backed comparisons when the output influences a research decision. Use ESMFold-style predictions for triage unless an independent check supports the structural claim.
From ParamJani21/feynman, MIT.
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Run or prepare Chai-1 structure predictions for biomolecular complexes.
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compute-env-setup
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Use Evo2-style biological sequence models for generation, scoring, or variant-effect analysis.
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fair-esm2
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Apply scientific plotting and figure-quality rules to a single plot or panel.
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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
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Run or prepare Chai-1 structure predictions for biomolecular complexes.
SkillCFreshness: CClaude Code +9 - 0.469score
compute-env-setup
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Set up a reproducible Feynman compute environment for research jobs.
SkillCFreshness: CClaude Code +9 - 0.469score
customize
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Configure Feynman specialists, skills, connectors, permissions, memory categories, compute providers, and project setup.
SkillCFreshness: CClaude Code +9 - 0.469score
alphafold2
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Predict or audit protein structures with AlphaFold2-style workflows.
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Cite this page
esmfold2 skill. Agent Mart. https://agentmart.dev/skills/paramjani21-esmfold2 (last updated 2026-10-24)