compute-env-setup
Set up a reproducible Feynman compute environment for research jobs.
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: research, 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/compute-env-setup
What's inside
- Skill name
compute-env-setup- Description
- Set up a reproducible Feynman compute environment for research jobs. Use when a task needs Python/R packages, GPU libraries, containers, Modal, SSH, caches, or managed model runtime setup.
- License
- MIT
- Instructions
- 15 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Compute Environment Setup Use this skill before running a research job that needs a nontrivial runtime. Workflow: 1. Identify the job type, hardware need, data size, package stack, secrets, and expected artifacts. 2. Choose the smallest working route: local notebook runtime, project virtualenv/conda, Modal, SSH/Slurm, or managed endpoint. 3. Verify credentials and CLIs through Feynman Settings or environment status without printing secret values. 4. Write an environment note containing package versions, install commands, cache paths, hardware, and failure modes. 5. Run a tiny smoke job before the expensive job and save the smoke logs. The done state is a recorded, reproducible environment plus a successful smoke or a precise missing dependency.
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
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Run or plan Boltz biomolecular structure predictions for proteins, complexes, ligands, or nucleic-acid assemblies.
SkillCFreshness: CClaude Code +9 - 0.469score
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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
customize
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Configure Feynman specialists, skills, connectors, permissions, memory categories, compute providers, and project setup.
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Run or plan DiffDock molecular docking workflows.
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alphafold2
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Predict or audit protein structures with AlphaFold2-style workflows.
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Cite this page
compute-env-setup skill. Agent Mart. https://agentmart.dev/skills/paramjani21-compute-env-setup (last updated 2026-10-24)