Skip to content
Agentmart
Submit a tool

chai1

Run or prepare Chai-1 structure predictions for biomolecular complexes.

Skill by ParamJani21

IndexedMIT
Write a review

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-chai1

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.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

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.

Use cases: productivity

No 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.

More from ParamJani21/feynman

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
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from ParamJani21

Cite this page

chai1 skill. Agent Mart. https://agentmart.dev/skills/paramjani21-chai1 (last updated 2026-10-24)