Fastfold Docs

Skills

Install and use Fastfold skills with Claude Code, Cursor, Codex, and other supported agents.

Fastfold skills are packaged instructions and scripts that help AI agents run common workflows end-to-end.

These skills can be used across many agent tools, including Claude Code, Cursor, Codex, and others. See skills.sh for the current list of supported agents.

Install

npx skills add fastfold-ai/skills

Repository: github.com/fastfold-ai/skills
Listing: skills.sh/fastfold-ai/skills

Available skills

SkillPrimary use
foldFastfold Jobs API folding pipelines (create -> wait -> results)
protein_design_boltzgenBoltzGen protein design workflow orchestration and result ranking
md-openmm-calvadosCALVADOS + OpenMM MD workflows from fold or manual inputs
md-openmmdlOpenMMDL protein-ligand MD workflows and analysis outputs
slack_reportShare report markdown to Slack and save a library copy

fold

Fastfold Jobs API automation for protein folding.

Use it when you need:

  • protein sequence folding with Fastfold
  • API or script-based job orchestration
  • automated create -> wait -> fetch pipelines

References:

md-openmm-calvados

CALVADOS + OpenMM workflow automation via Workflows API (calvados_openmm_v1).

Use it when you need:

  • fold -> OpenMM linked simulation flows
  • manual PDB + PAE submission for MD simulation
  • MD metrics, artifacts, and result polling

References:

md-openmmdl

OpenMMDL protein-ligand molecular dynamics workflow automation via Workflows API (openmmdl_v1).

Use it when you need:

  • topology + ligand-driven MD workflow submission
  • draft script preparation + execution for OpenMMDL
  • analysis outputs, trajectory artifacts, and frame extraction

References:

protein_design_boltzgen

BoltzGen protein design workflow automation (draft -> graph upsert -> review -> execute -> ranked results).

Use it when you need:

  • single-spec or multi-spec BoltzGen design flows
  • example-first workflow setup from bundled local preset files
  • candidate metrics interpretation and per-candidate Mol* result links
  • API-only workflow orchestration that mirrors Composer behavior

References:

slack_report

Share CLI markdown reports to Slack and save a library copy in Fastfold Cloud.

Use it when you need:

  • share a markdown report to Slack
  • keep a saved copy in Fastfold library
  • give teammates a quick link to open the saved report

References:

Example prompts

After installing, ask your agent directly:

Use Boltz-2 in Fastfold with affinity property to the ligand. Fold this protein: PQITLWQRPLVTIKIGGQLKEALLDTGADDTVLEEMSLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF and this ligand: CC1CN(CC(C1)NC(=O)C2=CC=CC=C2N)C(=O)NC(C)(C)C
Run an OpenMM simulation from my completed fold job and return metrics, plots, and the dashboard link.
Run an OpenMMDL simulation with topology + ligand inputs and return analysis outputs with links.
Help me run a quick BoltzGen smoke test for a simple peptide binder against 5CQG, and show me the draft before running.
Show me BoltzGen protein design examples and run vanilla_target_binding_site with one target and one budget in the background. Keep the workflow_id for follow-up results.
Share the current report to Slack and save a copy in my Fastfold library.

API key setup

Skills and scripts require FASTFOLD_API_KEY.

Your agent can help you create these files and follow the setup.

cp skills/fold/references/.env.example .env

Then edit .env:

FASTFOLD_API_KEY=sk-your-actual-key-here

Option B: shell environment

export FASTFOLD_API_KEY="sk-..."

Environment variables take precedence over .env.

Slack setup for slack_report

Before using /export-share, connect Slack and set a channel in Fastfold Cloud:

Set or confirm the channel for the agent_cli_report mode.

Security note

Keep API keys local and never commit .env files.

Last updated on

On this page