evo2
Use Evo2-style biological sequence models for generation, scoring, or variant-effect 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-evo2
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: design, writing, 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/evo2
What's inside
- Skill name
evo2- Description
- Use Evo2-style biological sequence models for generation, scoring, or variant-effect analysis. Use when a task asks about DNA/RNA/protein sequence likelihood, editing, design, or long-context biological modeling.
- License
- MIT
- Instructions
- 15 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Evo2 Use this skill for biological sequence-model work. Workflow: 1. Define the sequence type, coordinate system, genome/proteome source, objective, constraints, and evaluation metric. 2. Verify the model endpoint, checkpoint, tokenizer, max context, and license/access boundary before running. 3. Save input sequences, prompts or scoring windows, model version, parameters, seeds, raw outputs, and parsed tables. 4. Separate source-owned biological facts from model-owned scores, generated variants, or predictions. 5. Validate top candidates against databases, conservation, known motifs, structure, or experiments before presenting them as actionable. Keep generated sequences bounded and auditable.
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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Set up a reproducible Feynman compute environment for research jobs.
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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
evo2 skill. Agent Mart. https://agentmart.dev/skills/paramjani21-evo2 (last updated 2026-10-24)