chai1
Run or prepare Chai-1 structure predictions for biomolecular complexes.
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.
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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/chai1
What's inside
- Skill name
chai1- Description
- Run or prepare Chai-1 structure predictions for biomolecular complexes. Use when a task asks for Chai-1 inputs, multimers, ligand/nucleic acid structure prediction, or confidence review.
- License
- MIT
- Instructions
- 15 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Chai-1 Use this skill for Chai-1-style biomolecular structure prediction and review. Workflow: 1. Convert the research question into an input manifest with chains, sequences, ligands, nucleic acids, templates, restraints, and seeds. 2. Verify the available execution path before running: local model, managed endpoint, Modal job, SSH host, or documented remote API. 3. Capture package/model version, exact input manifest, hardware, command or request body, and all raw output files. 4. Save structure files and confidence artifacts in the active Feynman output folder. 5. Review chain coverage, interface confidence, ligand plausibility, stereochemistry warnings, and conflicts with known structures. Use the structure as evidence only after the provenance and confidence checks are attached.
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
compute-env-setup
ParamJani21
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
diffdock
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Run or plan DiffDock molecular docking workflows.
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alphafold2
ParamJani21
Predict or audit protein structures with AlphaFold2-style workflows.
SkillCFreshness: CClaude Code +9
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Cite this page
chai1 skill. Agent Mart. https://agentmart.dev/skills/paramjani21-chai1 (last updated 2026-10-24)