# fastfold-ai-fold

> fastfold-ai-fold — juliocesar-io-fastfold-ai-fold. Use this tool when you need to predict the 3D structure of proteins quickly and accurately, solving problems in molecular biology, biochemistry, and drug discovery. It submits and manages protein folding jobs via the Jobs API, accepting protein sequences as input and returning predicted 3D structures as output. Ideal for use cases requiring rapid and reliable protein structure prediction, such as protein-ligand binding studies and protein design.

Canonical page: https://skillsregistry.net/skills/juliocesar-io-fastfold-ai-fold  
JSON: https://api.skillsregistry.net/v1/skills/juliocesar-io-fastfold-ai-fold

## Description

Submits and manages FastFold protein folding jobs via the Jobs API.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-27

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/juliocesar-io-fastfold-ai-fold)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "juliocesar-io-fastfold-ai-fold"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/juliocesar-io-fastfold-ai-fold` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/juliocesar-io-fastfold-ai-fold/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt